Initial Commit

2016-07-01 16:43:39 -05:00
commit a1714c722f
38 changed files with 1830 additions and 0 deletions
--- a/FiniteDifferences/.idea/.name
+++ b/FiniteDifferences/.idea/.name
@@ -0,0 +1 @@
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+++ b/FiniteDifferences/.idea/FiniteDifferences.iml
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--- a/FiniteDifferences/FiniteDifferences.py
+++ b/FiniteDifferences/FiniteDifferences.py
@@ -0,0 +1,39 @@
+__author__ = 'patrickjmcd'
+import math
+import numpy as np
+import scipy.interpolate
+
+# setting up constants
+E = 30.5 * 10**6
+A = math.pi/4 * (0.75)**2
+L = 2000
+Gc = 32.2
+Rho = 490
+T = 15
+M = 100
+NT = 360
+C = 0.8
+
+F = [4085.7, 3969.1, 3852.4, 3774.7, 3697, 3736, 3814, 3891.9, 3969.7, 4047.7, 4008.9, 3931.1, 3853.3, 3775.6, 3658.9, 3581.2, 3581.3, 3659.3, 3737.3, 3815.2, 3893.1, 3970.9, 4048.9, 4126.8, 4204.7, 4282.6, 4360.5, 4477.3, 4555.3, 4633.2, 4672.1, 4788.9, 4866.8, 4944.7, 5061.4, 5139.4, 5256.2, 5334, 5411.8, 5528.6, 5606.5, 5684.4, 5801.3, 5879.2, 5918.3, 5918.6, 5879.9, 5841.2, 5880.2, 5919.3, 5997.3, 6075.2, 6153.1, 6231, 6308.9, 6386.7, 6503.6, 6581.5, 6659.3, 6776.2, 6854.1, 6932, 6971.1, 6932.5, 6893.7, 6855, 6777.3, 6738.6, 6699.8, 6699.9, 6739.1, 6778.3, 6778.6, 6778.8, 6779.2, 6818.4, 6896.4, 6974.3, 7052.2, 7169, 7285.9, 7441.6, 7597.4, 7675.3, 7792.2, 7986.8, 8103.7, 8220.5, 8337.3, 8454.1, 8571, 8649, 8726.9, 8766, 8688.4, 8610.7, 8533, 8455.3, 8377.6, 8261, 8183.3, 8105.7, 8067, 8067.2, 8106.3, 8145.5, 8145.7, 8145.9, 8107.2, 8068.5, 8029.9, 7991.3, 7991.5, 7991.7, 7992, 7914.4, 7836.8, 7759, 7681.3, 7603.6, 7448.1, 7331.5, 7253.8, 7137.2, 7020.5, 6865, 6670.6, 6515, 6398.4, 6281.8, 6165.2, 6048.6, 5970.9, 5932.2, 5971.3, 6049.2, 6127.2, 6205.1, 6283, 6361.1, 6400.2, 6439.3, 6400.8, 6362.1, 6323.4, 6323.6, 6323.8, 6363.1, 6363.3, 6363.5, 6363.7, 6325.1, 6325.2, 6403.2, 6442.2, 6520.2, 6598.1, 6676, 6754, 6870.8, 6987.6, 7143.4, 7260.2, 7416, 7610.7, 7766.4, 7922.2, 8000.1, 8078, 8078.1, 8039.4, 8000.6, 7922.9, 7845.2, 7767.5, 7689.8, 7651, 7612.3, 7612.5, 7651.7, 7690.7, 7690.9, 7652.4, 7613.8, 7614, 7653.1, 7653.4, 7575.8, 7498, 7420.3, 7342.6, 7226, 7109.4, 6992.7, 6876, 6720.5, 6526.1, 6370.5, 6253.8, 6137.2, 6020.6, 5981.8, 6020.9, 6098.8, 6176.8, 6254.7, 6332.8, 6333, 6294.4, 6294.7, 6295, 6295.2, 6256.6, 6334.6, 6451.5, 6568.3, 6685.1, 6801.9, 6957.7, 7152.3, 7269, 7502.6, 7619.5, 7697.4, 7658.7, 7581, 7503.2, 7425.6, 7425.8, 7464.8, 7426.2, 7387.6, 7387.8, 7310.1, 7193.5, 7037.8, 6687.6, 6843.4, 6687.7, 6532.1, 6415.5, 6298.7, 6182, 6182.2, 6182.5, 6182.8, 6338.6, 6416.4, 6572, 6688.7, 6844.4, 7038.9, 7155.7, 7311.2, 7116.5, 6999.8, 6844.2, 6727.3, 6571.8, 6454.8, 6338, 5987.8, 5832.1, 5676.4, 5442.8, 5326, 5209.2, 5364.7, 5559.1, 5714.7, 5870.2, 5947.8, 5869.7, 5830.6, 5791.5, 5674.6, 5596.7, 5518.8, 5440.7, 5401.6, 5479.2, 5556.8, 5478.7, 5361.9, 5206.1, 5128.3, 5011.5, 4816.9, 4622.3, 4349.8, 4155.1, 3882.6, 3726.9, 3610.1, 3493, 3414.9, 3336.8, 3258.7, 3219.5, 3219.3, 3218.9, 3179.7, 3101.7, 2984.7, 2906.9, 2751, 2595.2, 2517.2, 2400.4, 2322.5, 2322.2, 2438.7, 2555.4, 2672, 2749.7, 2866.3, 2944, 3021.6, 3021.4, 2943.5, 2787.6, 2631.8, 2476.1, 2242.4, 2008.7, 1814.1, 1697.2, 1619.3, 1580, 1579.8, 1579.6, 1579.4, 1579.1, 1656.6, 1695.2, 1811.7, 1928.2, 2122.6, 2278, 2394.6, 2472.2, 2511, 2510.8, 2432.7, 2315.8, 2159.9, 2004, 1926, 1964.6, 2081.1, 2236.5, 2392, 2547.6, 2741.9, 2936.3, 3130.6, 3247.2, 3286, 3324.7, 3402.3, 3402, 3440.6, 3401.3, 3362.1, 3283.9, 3205.9, 3089.1, 3011.1, 2933.2, 2855.3, 2777.3, 2699.4, 2660.3, 2660, 2698.7, 2815.2, 3009.6, 3126.1, 3242.6, 3281.4, 3281.2, 3203.1, 3125.2, 3008.3, 2852.5, 2735.6, 2618.8, 2502, 2385.1, 2268.2, 2190.2, 2151.1, 2111.8, 2111.4, 2111.1, 2188.4, 2266, 2382.5, 2538.1, 2615.8, 2693.5, 2810, 2887.7, 2926.4, 2887.3, 2809.2, 2731.3, 2614.4, 2536.5, 2458.5, 2419.3, 2496.9, 2574.6, 2652.4, 2769, 2924.5, 3080, 3118.8, 3274.4, 3429.9, 3468.7, 3546.4, 3585.1, 3662.7, 3701.3, 3701, 3700.8, 3661.6, 3466.8, 3349.9, 3233.1, 3155.1, 3193.7, 3271.5, 3388.1, 3504.7, 3621.3, 3660.1, 3698.9, 3659.8, 3542.9, 3426.1, 3270.3, 3153.5, 2997.7, 2880.9, 2802.9, 2763.6, 2841.1, 2957.8, 3074.6, 3191.2, 3269, 3346.7, 3346.6, 3346.4 ]
+
+X = [0.10168, 0.2756, 0.44953, 0.62278, 0.79604, 0.96729, 1.1379, 1.3084, 1.3071, 1.4777, 1.6503, 1.8235, 1.8249, 1.9981, 2.0001, 2.1734, 2.3453, 2.6878, 2.8584, 3.029, 3.1995, 3.1982, 3.3688, 3.5394, 3.7099, 3.7086, 3.8792, 4.0491, 4.2197, 4.3903, 4.3896, 4.5595, 4.5582, 4.7287, 4.7267, 4.8973, 5.0672, 5.0659, 5.0646, 5.0625, 5.2331, 5.4037, 5.5736, 5.7442, 6.0874, 6.4312, 6.7757, 7.1202, 7.2915, 7.6346, 7.8052, 7.9758, 8.1464, 8.145, 8.3156, 8.3143, 8.4842, 8.6548, 8.6534, 8.8233, 8.9939, 9.1645, 9.5077, 9.8522, 10.025, 10.369, 10.543, 10.887, 11.06, 11.232, 11.747, 12.09, 12.606, 12.949, 13.465, 13.98, 14.323, 14.321, 14.492, 14.662, 14.832, 15.001, 15.17, 15.341, 15.511, 15.679, 15.849, 16.019, 16.189, 16.187, 16.529, 16.699, 16.87, 17.213, 17.558, 17.732, 17.905, 18.078, 18.251, 18.425, 18.599, 18.944, 19.288, 19.632, 19.975, 20.318, 20.662, 21.006, 21.351, 21.695, 22.04, 22.556, 22.9, 23.244, 23.588, 23.933, 24.278, 24.451, 24.624, 24.798, 24.972, 25.146, 25.319, 25.493, 25.667, 25.842, 26.017, 26.192, 26.366, 26.54, 26.713, 26.887, 27.061, 27.405, 27.748, 27.919, 28.09, 28.26, 28.431, 28.773, 29.116, 29.459, 29.976, 30.32, 30.665, 31.009, 31.353, 31.868, 32.212, 32.555, 32.899, 33.244, 33.416, 33.758, 33.929, 34.1, 34.271, 34.441, 34.612, 34.782, 34.952, 35.121, 35.291, 35.46, 35.628, 35.798, 35.967, 36.138, 36.308, 36.48, 36.825, 36.997, 37.17, 37.344, 37.517, 37.69, 37.863, 38.207, 38.551, 38.894, 39.065, 39.409, 39.926, 40.442, 40.786, 41.129, 41.473, 41.818, 41.991, 42.165, 42.338, 42.512, 42.686, 42.688, 42.862, 43.036, 43.212, 43.386, 43.388, 43.562, 43.736, 43.909, 44.252, 44.422, 44.593, 44.764, 45.106, 45.45, 45.966, 46.482, 46.826, 47.17, 47.686, 48.029, 48.199, 48.368, 48.366, 48.536, 48.706, 48.874, 48.872, 49.04, 49.21, 49.381, 49.725, 49.898, 49.9, 50.245, 50.589, 50.76, 51.276, 51.621, 51.965, 52.138, 52.312, 52.315, 52.321, 52.49, 52.492, 52.495, 52.669, 52.671, 52.673, 53.017, 53.361, 53.877, 54.046, 54.044, 54.042, 54.04, 54.037, 54.034, 54.032, 53.857, 53.689, 53.691, 53.693, 53.523, 53.698, 53.356, 53.186, 53.192, 53.023, 53.026, 52.858, 52.688, 52.518, 52.343, 52.168, 51.993, 51.819, 51.474, 51.131, 50.788, 50.445, 50.275, 50.104, 49.934, 49.591, 49.248, 48.903, 48.558, 48.215, 48.045, 47.876, 47.877, 47.708, 47.711, 47.542, 47.375, 47.207, 47.039, 46.87, 46.7, 46.186, 45.844, 45.329, 44.987, 44.472, 44.128, 43.612, 43.097, 42.755, 42.413, 42.414, 42.073, 41.732, 41.561, 41.391, 41.221, 40.877, 40.531, 40.357, 40.183, 40.01, 39.836, 39.663, 39.318, 38.974, 38.803, 38.462, 38.293, 38.124, 37.784, 37.444, 37.275, 37.105, 36.935, 36.42, 36.076, 35.732, 35.388, 35.044, 34.527, 34.011, 33.665, 33.319, 32.972, 32.626, 32.452, 32.106, 31.934, 31.59, 31.248, 30.906, 30.565, 30.223, 29.881, 29.365, 29.019, 28.672, 28.498, 28.323, 27.976, 27.801, 27.453, 27.107, 26.935, 26.762, 26.417, 25.901, 25.385, 24.87, 24.355, 23.84, 23.498, 23.328, 23.157, 22.987, 22.816, 22.646, 22.475, 22.132, 21.788, 21.444, 21.098, 20.751, 20.405, 20.059, 19.886, 19.542, 19.2, 19.029, 18.859, 18.518, 18.348, 18.178, 18.009, 17.839, 17.497, 17.326, 16.983, 16.468, 15.78, 15.265, 14.576, 14.23, 13.885, 13.71, 13.537, 13.363, 13.018, 12.844, 12.5, 12.157, 11.814, 11.644, 11.474, 11.303, 10.961, 10.617, 10.272, 10.099, 9.9257, 9.7518, 9.5772, 9.4026, 9.23, 9.0555, 8.8809, 8.7083, 8.535, 8.1905, 7.8453, 7.3289, 6.9851, 6.6412, 6.1262, 5.7857, 5.6158, 5.4458, 5.1034, 4.7588, 4.5856, 4.4117, 4.2377, 4.0638, 3.8912, 3.7186, 3.3755, 3.2056, 3.0357, 2.8664, 2.6965, 2.5273, 2.3573, 2.0149, 1.4998, 0.98267, 0.98067, 0.97866, 0.80474, 0.8034, 0.63014, 0.45822, 0.11439]
+
+[Xmin, IXmin] = min(X)
+X = np.roll(X, 1 - IXmin)
+F = np.roll(F, 1 - IXmin)
+[Xmax, IXmax] = max(X)
+
+Xu = X[0:IXmax]
+Xd = X[IXmax:len(X)]
+Xd.push(X[0])
+Fu = F[0:IXmax]
+Fd = F[IXmax:len(X)]
+Fd.push(F[0])
+
+S = Xmax - Xmin
+
+Xi = [0.10168, 0.111692778, 0.13196366, 0.162450928, 0.203107855, 0.253882838, 0.314719538, 0.385557016, 0.466329871, 0.556968385, 0.65739866, 0.767542759, 0.887318849, 1.016641341, 1.155421026, 1.303565219, 1.460977889, 1.6275598, 1.80320864, 1.987819156, 2.181283279, 2.383490252, 2.594326755, 2.813677023, 3.041422967, 3.277444288, 3.521618587, 3.773821477, 4.033926687, 4.301806164, 4.577330175, 4.860367396, 5.150785014, 5.448448807, 5.753223235, 6.064971523, 6.383555736, 6.708836859, 7.040674868, 7.378928801, 7.723456822, 8.074116288, 8.430763807, 8.793255299, 9.161446046, 9.53519075, 9.914343578, 10.29875821, 10.6882879, 11.08278548, 11.48210343, 11.88609393, 12.29460886, 12.70749983, 13.12461828, 13.54581543, 13.97094234, 14.39984995, 14.8323891, 15.26841055, 15.70776498, 16.15030306, 16.59587544, 17.04433279, 17.49552579, 17.94930517, 18.40552174, 18.86402637, 19.32467006, 19.78730391, 20.25177917, 20.71794722, 21.18565964, 21.65476819, 22.12512482, 22.59658173, 23.06899135, 23.54220637, 24.01607978, 24.49046486, 24.96521521, 25.44018477, 25.91522788, 26.39019925, 26.864954, 27.33934771, 27.81323643, 28.28647671, 28.75892562, 29.2304408, 29.70088048, 30.17010353, 30.63796946, 31.10433849, 31.5690716, 32.03203051, 32.49307779, 32.95207685, 33.40889204, 33.86338863, 34.31543289, 34.76489217, 35.2116349, 35.65553064, 36.09645018, 36.53426556, 36.96885013, 37.4000786, 37.82782711, 38.25197327, 38.67239623, 39.08897675, 39.50159723, 39.91014179, 40.31449631, 40.71454852, 41.11018804, 41.50130641, 41.88779722, 42.26955608, 42.64648076, 43.01847117, 43.38542946, 43.74726007, 44.10386975, 44.45516765, 44.80106533, 45.14147682, 45.47631866, 45.80550996, 46.12897239, 46.44663024, 46.75841048, 47.06424272, 47.36405929, 47.65779525, 47.94538839, 48.22677923, 48.5019111, 48.77073005, 49.03318493, 49.28922733, 49.53881164, 49.78189496, 50.01843717, 50.24840083, 50.47175123, 50.68845631, 50.8984867, 51.10181559, 51.29841878, 51.48827461, 51.6713639, 51.84766995, 52.01717844, 52.17987741, 52.33575719, 52.48481037, 52.62703172, 52.76241813, 52.89096853, 53.01268389, 53.12756708, 53.23562284, 53.3368577, 53.43127994, 53.51889947, 53.59972779, 53.67377794, 53.74106438, 53.80160294, 53.85541079, 53.90250628, 53.94290897, 53.97663949, 54.00371951, 54.02417164, 54.03801941, 54.04528716, 54.046, 54.04018376, 54.02786489, 54.00907046, 53.98382803, 53.95216567, 53.91411185, 53.86969545, 53.81894562, 53.76189185, 53.69856383, 53.62899145, 53.55320476, 53.47123393, 53.38310922, 53.28886093, 53.1885194, 53.08211497, 52.96967792, 52.85123853, 52.72682697, 52.59647335, 52.46020767, 52.31805981, 52.17005956, 52.01623653, 51.85662026, 51.69124009, 51.52012528, 51.34330491, 51.16080797, 50.97266331, 50.77889967, 50.57954568, 50.37462992, 50.16418087, 49.94822697, 49.72679663, 49.49991826, 49.26762028, 49.02993118, 48.78687952, 48.53849395, 48.2848033, 48.02583657, 47.76162296, 47.49219198, 47.2175734, 46.93779736, 46.65289442, 46.36289555, 46.06783225, 45.76773656, 45.46264114, 45.1525793, 44.8375851, 44.51769336, 44.19293978, 43.86336097, 43.52899451, 43.18987904, 42.84605434, 42.49756136, 42.14444234, 41.78674086, 41.42450191, 41.057772, 40.6865992, 40.31103326, 39.93112565, 39.54692968, 39.15850056, 38.76589551, 38.3691738, 37.96839688, 37.56362844, 37.15493451, 36.74238354, 36.32604648, 35.90599687, 35.48231092, 35.0550676, 34.62434871, 34.19023899, 33.75282616, 33.31220102, 32.8684575, 32.4216928, 31.97200735, 31.51950499, 31.06429294, 30.60648193, 30.14618619, 29.68352357, 29.21861553, 28.7515872, 28.2825674, 27.81168873, 27.33908749, 26.86490378, 26.38928149, 25.91236828, 25.4343156, 24.95527863, 24.47541634, 23.99489139, 23.5138701, 23.03252244, 22.55102193, 22.0695456, 21.58827392, 21.10739066, 20.62708288, 20.14754073, 19.66895741, 19.19152901, 18.71545439, 18.24093498, 17.76817472, 17.2973798, 16.82875854, 16.36252121, 15.89887979, 15.43804781, 14.98024012, 14.52567268, 14.07456235, 13.62712662, 13.18358339, 12.74415076, 12.30904672, 11.87848894, 11.4526945, 11.03187963, 10.61625945, 10.20604771, 9.801456512, 9.402696059, 9.009974389, 8.623497114, 8.243467156, 7.870084499, 7.503545932, 7.144044805, 6.791770785, 6.446909627, 6.109642939, 5.780147969, 5.458597387, 5.145159087, 4.839995992, 4.54326587, 4.255121159, 3.97570881, 3.705170133, 3.443640654, 3.191249996, 2.948121753, 2.714373392, 2.490116162, 2.275455011, 2.070488521, 1.875308851, 1.690001699, 1.514646263, 1.349315229, 1.194074759, 1.048984495, 0.914097574, 0.789460652, 0.675113939, 0.571091244, 0.477420029, 0.394121474, 0.321210542, 0.258696068, 0.206580837, 0.164861684, 0.133529591, 0.112569796, 0.101961904 ]
+
+Ni = len(Xi)
+Xi_new = Xi.push(Xi[0])
+Xi = scipy.interpolate.interp1d(np.linspace(0,1,Ni+1), )
--- a/NeuralNetwork/NeuralNetwork.py
+++ b/NeuralNetwork/NeuralNetwork.py
@@ -0,0 +1,12 @@
+
+import numpy as np
+
+class BackPropagationNetwork:
+
+    #
+    # Class Members
+    #
+
+    layerCount = 0
+    shape = None
+    weights = []
--- a/WellBore/drawWellBore.py
+++ b/WellBore/drawWellBore.py
@@ -0,0 +1,30 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Fri Oct 23 18:23:25 2015
+
+@author: patrickjmcd
+"""
+
+import csv
+import matplotlib.pyplot as plt
+from mpl_toolkits.mplot3d import Axes3D
+
+f = open('melinda254.csv', 'rb')
+reader = csv.reader(f)
+headers = reader.next()
+
+csv_data = {}
+for h in headers:
+    csv_data[h] = []
+    
+for row in reader:
+    for h,v in zip(headers, row):
+        csv_data[h].append(float(v))
+       
+csv_data['Depth'] = map(lambda x: -1*x, csv_data['Depth'])
+
+fig = plt.figure()
+ax = fig.add_subplot(111, projection='3d')
+ax.plot(csv_data['Northings'], csv_data['Eastings'], csv_data['Depth'])
+
+plt.show()
--- a/WellBore/melinda252.csv
+++ b/WellBore/melinda252.csv
@@ -0,0 +1,171 @@
+Depth,Northings,Eastings
+0,0,0
+199.99,0.36,1.44
+399.97,1,4.58
+599.94,1.17,8.05
+799.9,0.99,11.78
+999.87,0.91,15.35
+1199.84,0.71,18.55
+1399.83,0.59,20.76
+1599.83,0.33,21.89
+1703.82,0.15,22.61
+1861.82,0.29,24.11
+1987.81,0.94,25.47
+2114.79,2.26,27.1
+2240.77,3.73,29.15
+2366.74,5.38,31.32
+2492.71,7.24,33.35
+2619.67,9.23,35.43
+2745.64,11.42,37.25
+2871.61,13.58,38.76
+2997.59,15.72,40.3
+3124.55,18.16,41.82
+3250.52,20.9,43.24
+3376.47,23.85,44.41
+3502.43,26.92,45.28
+3629.39,30.16,46.38
+3755.34,33.4,47.75
+3881.3,36.18,48.76
+4007.28,38.65,49.3
+4134.26,41.05,49.7
+4260.23,43.76,50.2
+4387.18,46.93,50.68
+4513.14,50.3,51.17
+4639.08,54.1,51.83
+4765.03,57.46,52.05
+4892.02,58.95,51.49
+5018.02,59.45,51.06
+5144.02,59.69,50.83
+5270.02,59.61,50.63
+5396.02,59.74,50.81
+5523.02,59.87,50.99
+5649.02,60.08,50.95
+5775.02,60,50.79
+5902.01,58.8,50.64
+6027.99,56.5,49.8
+6153.95,53.92,48.64
+6280.94,51.99,48.12
+6406.93,50.48,47.86
+6532.92,49.18,47.64
+6658.92,48.23,47.37
+6784.91,47.27,46.88
+6910.91,46.3,46.38
+7037.9,45.43,46.29
+7163.9,44.74,46.79
+7289.89,44.15,47.97
+7416.88,44.13,49.85
+7542.85,44.8,52.29
+7668.84,44.67,54.43
+7795.82,43.09,55.24
+7921.81,41.74,55.78
+8048.79,40.87,57.57
+8174.76,39.07,59.88
+8301.71,35.89,61.24
+8427.65,32,61.94
+8553.58,27.9,62.22
+8680.5,23.77,60.7
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+9485.99,4911.86,-1345.15
--- a/WellBore/melinda254.csv
+++ b/WellBore/melinda254.csv
@@ -0,0 +1,146 @@
+Depth,Northings,Eastings
+0,0,0
+100,-0.33,0.25
+199.99,-1.13,0.81
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--- a/cardAnalysis.py
+++ b/cardAnalysis.py
@@ -0,0 +1,442 @@
+# Python program to analyze cards
+import matplotlib.pyplot as plt
+import numpy as np
+import readCardFile as rcf
+
+# Setup Data
+slices = 250 # number of horizontal slices to evaluate
+pctTop = 10 # when finding corners, percent below maximum to search
+pctBottom = 10 # when finding corners, percent above minimum to search
+pumpTapPercent = 35 # percentage of downhole load span to be considered 100% tapping
+tubingMovementPctStroke = 25  # percentage of stroke taken up by tubing movement to consider score of 100
+
+downhole = rcf.readFile()[1]
+
+# Mostly Full Card
+# downhole = [[64.577, -4503.565], [65.055, -4507.592], [65.432, -4493.037], [65.851, -4599.1], [66.291, -4735.827], [66.561, -4853.273], [66.682, -4899.307], [66.787, -4918.142], [66.89, -4929.726], [67.001, -4983.405], [67.108, -4978.893], [67.128, -4937.433], [67.101, -4955.286], [67.019, -4990.838], [66.86, -5014.888], [66.609, -5034.405], [66.286, -5053.554], [65.872, -5107.013], [65.38, -5126.4], [64.761, -5138.246], [64.073, -5152.267], [63.318, -5237.705], [62.387, -5360.465], [61.333, -5386.295], [60.202, -5427.148], [59.121, -5698.709], [58.068, -5775.45], [56.748, -5961.322], [55.738, -6598.427], [54.947, -7069.938], [54.472, -7458.419], [54.264, -7766.768], [54.231, -7900.823], [54.274, -7919.208], [54.493, -8065.488], [54.798, -8058.136], [54.94, -7923.052], [55.063, -7913.114], [55.224, -7932.654], [55.324, -7964.23], [55.394, -7934.037], [55.398, -7917.927], [55.438, -8037.331], [55.527, -8057.723], [55.46, -7971.96], [55.368, -7845.327], [55.488, -8151.271], [55.302, -8644.739], [54.942, -8993.722], [54.33, -9503.194], [53.228, -9900.778], [51.617, -9812.004], [49.266, -9620.005], [46.471, -9609.26], [43.288, -9329.185], [39.96, -9250.057], [36.341, -9366.431], [32.531, -9379.656], [28.688, -9408.648], [24.829, -9418.401], [20.988, -9513.613], [17.209, -9660.981], [13.48, -9622.327], [9.957, -9654.526], [6.484, -9772.297], [3.101, -9758.53], [-0.097, -9737.41], [-3.072, -9726.858], [-5.92, -9730.714], [-8.554, -9710.393], [-11.079, -9383.728], [-13.231, -9137.783], [-15.146, -8857.06], [-16.522, -8288.292], [-17.249, -7753.214], [-17.524, -6990.508], [-17.425, -6589.685], [-16.774, -6192.202], [-16.215, -5397.993], [-15.67, -4906.086], [-15.105, -4564.741], [-14.478, -4324.163], [-13.793, -4192.837], [-13.014, -4094.249], [-12.14, -3961.145], [-11.155, -3976.249], [-9.957, -4033.805], [-8.689, -4038.992], [-7.438, -4063.336], [-6.192, -3982.634], [-4.922, -3940.978], [-3.642, -3944.722], [-2.381, -3955.24], [-1.204, -4037.927], [-0.213, -4031.55], [0.623, -4048.03], [1.238, -3668.058], [2.166, -3223.797], [3.326, -3193.519], [4.675, -3049.454], [6.405, -2941.393], [8.566, -3218.628], [11.119, -3568.049], [13.674, -3672.504], [16.261, -3844.035], [18.726, -3851.298], [21.175, -3785.033], [23.526, -3837.698], [25.733, -3859.446], [27.746, -3803.885], [29.603, -3773.95], [31.459, -3777.372], [33.243, -3804.467], [34.927, -3828.283], [36.52, -3770.409], [38.017, -3681.814], [39.579, -3626.998], [41.175, -3641.395], [42.788, -3743.97], [44.416, -3937.624], [45.946, -4236.965], [47.175, -4377.768], [48.21, -4438.309], [48.838, -4537.2], [49.129, -4478.764], [49.196, -4308.402], [49.137, -4262.084], [49.143, -4247.508], [49.098, -4114.916], [49.084, -4100.473], [49.072, -4051.415], [49.196, -3999.507], [49.395, -4009.326], [49.634, -4000.167], [49.88, -3973.371], [50.084, -3918.636], [50.357, -3886.275], [50.697, -3936.03], [50.981, -4002.471], [51.209, -4039.17], [51.401, -4074.127], [51.553, -4057.877], [51.723, -4087.47], [52.184, -4223.707], [52.507, -4084.271], [53.238, -3994.224], [54.011, -3849.528], [54.93, -3743.578], [55.856, -3797.639], [56.748, -3817.357], [57.653, -3869.861], [58.552, -3891.538], [59.342, -3931.89], [60.089, -4015.883], [60.804, -4092.087]]
+
+# Tubing Movement Card
+#downhole = [[46.83,-2887.081], [46.892,-2852.452], [46.914,-2878.963], [46.902,-2899.007], [46.927,-2914.736], [47.007,-3009.142], [47.098,-3044.16], [47.092,-2973.454], [47.047,-2927.351], [47.051,-2983.958], [47.026,-3072.558], [46.947,-3099.861], [46.85,-3086.603], [46.764,-3128.667], [46.706,-3222.279], [46.686,-3412.667], [46.643,-3492.5], [46.517,-3486.271], [46.347,-3520.645], [46.154,-3498.79], [45.943,-3570.53], [45.735,-3729.349], [45.457,-3834.83], [45.112,-3882.304], [44.779,-3951.678], [44.53,-4202.284], [44.259,-4344.169], [43.867,-4339.462], [43.489,-4462.086], [43.164,-4546.753], [42.917,-4713.565], [42.674,-4933.95], [42.349,-5087.896], [42.091,-5281.532], [41.858,-5409.675], [41.692,-5623.63], [41.597,-5789.314], [41.413,-5789.535], [41.212,-5854.792], [41.086,-5882.121], [41.039,-6019.487], [41.043,-6218.706], [40.973,-6308.513], [40.906,-6457.92], [40.837,-6594.607], [40.856,-6745.795], [40.883,-6767.062], [40.83,-6794.824], [40.797,-6933.782], [40.778,-6895.658], [40.822,-7034.814], [40.884,-7296.804], [40.818,-7419.478], [40.803,-7614.82], [40.776,-7751.075], [40.777,-8017.832], [40.764,-8241.186], [40.682,-8306.266], [40.554,-8463.126], [40.378,-8506.211], [40.272,-8608.049], [40.154,-8848.913], [39.906,-8996.566], [39.656,-9101.418], [39.305,-9067.18], [38.986,-9168.235], [38.634,-9203.583], [38.111,-9143.733], [37.598,-9187.537], [37.048,-9105.862], [36.496,-9175.496], [35.831,-9297.358], [35.077,-9295.168], [34.328,-9385.535], [33.5,-9417.49], [32.723,-9524.418], [31.903,-9543.187], [30.982,-9451.246], [30.098,-9542.783], [29.151,-9510.178], [28.189,-9502.326], [27.179,-9617.115], [26.052,-9694.688], [24.867,-9766.146], [23.598,-9761.514], [22.288,-9798.367], [20.981,-9780.708], [19.63,-9698.224], [18.306,-9740.019], [16.958,-9686.539], [15.724,-9736.812], [14.441,-9795.19], [13.139,-9681.094], [11.895,-9693.57], [10.726,-9760.314], [9.592,-9739.54], [8.484,-9680.257], [7.457,-9688.138], [6.545,-9698.494], [5.685,-9580.339], [4.955,-9585.38], [4.243,-9641.511], [3.558,-9554.533], [2.959,-9510.332], [2.426,-9502.439], [1.926,-9394.177], [1.461,-9293.815], [1.131,-9240.729], [0.896,-9156.458], [0.718,-9034.355], [0.661,-8899.793], [0.632,-8803.163], [0.698,-8727.494], [0.864,-8618.893], [1.119,-8519.666], [1.39,-8330.483], [1.644,-8299.007], [2,-8344.218], [2.361,-8159.301], [2.726,-8045.124], [3.063,-7967.46], [3.394,-7865.336], [3.799,-7748.28], [4.204,-7632.871], [4.584,-7505.887], [4.938,-7339.214], [5.354,-7351.317], [5.839,-7334.936], [6.263,-7134.111], [6.694,-7091.65], [7.063,-6987.825], [7.409,-6818.716], [7.799,-6755.144], [8.162,-6656.295], [8.528,-6602.11], [8.814,-6468.438], [9.062,-6377.223], [9.418,-6363.788], [9.772,-6233.713], [10.132,-6193.403], [10.371,-6052.44], [10.667,-5807.847], [11.056,-5740.982], [11.428,-5666.741], [11.749,-5544.153], [11.979,-5295.527], [12.207,-5178.551], [12.512,-5210.087], [12.812,-5150.446], [13.077,-5086.271], [13.292,-4886.025], [13.578,-4669.326], [13.871,-4606.906], [14.153,-4517.883], [14.414,-4369.183], [14.606,-4223.626], [14.854,-4204.487], [15.15,-4149.035], [15.382,-3974.269], [15.589,-3955.612], [15.735,-3888.778], [15.942,-3758.221], [16.219,-3730.551], [16.522,-3728.962], [16.78,-3677.023], [17.03,-3605.006], [17.333,-3618.731], [17.723,-3620.313], [18.111,-3588.642], [18.507,-3645.753], [18.835,-3584.838], [19.238,-3480.506], [19.803,-3500.618], [20.429,-3489.421], [21.043,-3439.612], [21.66,-3398.009], [22.274,-3438.254], [22.967,-3438.026], [23.667,-3442.973], [24.367,-3499.912], [25.087,-3420.673], [25.911,-3368.711], [26.764,-3426.286], [27.61,-3468.203], [28.469,-3448.212], [29.316,-3352.306], [30.161,-3336.477], [31.077,-3393.436], [31.987,-3440.532], [32.871,-3491.23], [33.721,-3432.89], [34.593,-3393.32], [35.456,-3425.981], [36.298,-3487.22], [37.115,-3508.692], [37.809,-3375.236], [38.502,-3342.76], [39.256,-3397.23], [39.94,-3387.344], [40.551,-3421.552], [41.078,-3365.214], [41.606,-3300.955], [42.124,-3340.255], [42.598,-3304.887], [43.053,-3276.992], [43.491,-3247.673], [43.861,-3218.775], [44.204,-3199.074], [44.529,-3187.272], [44.818,-3259.493], [45.008,-3241.877], [45.174,-3169.097], [45.358,-3180.797], [45.53,-3152.304], [45.695,-3142.974], [45.835,-3115.725], [45.945,-3071.782], [46.048,-2995.923], [46.18,-2967.381], [46.296,-3044.686], [46.328,-2969.671], [46.374,-2862.842], [46.437,-2863.76], [46.491,-2876.354], [46.561,-2888.627], [46.63,-2893.73], [46.688,-2844.868]]
+
+# Pumped Off Card
+# downhole=[[46.62,-2712.68], [46.602,-2800.402], [46.534,-2764.056], [46.394,-2655.373], [46.263,-2651.785], [46.138,-2755.013], [45.999,-2767.18], [45.847,-2748.438], [45.736,-2776.021], [45.606,-2749.383], [45.465,-2784.358], [45.327,-2888.547], [45.14,-2896.921], [44.948,-2943.494], [44.79,-3047.353], [44.632,-3124.92], [44.491,-3203.635], [44.329,-3212.191], [44.211,-3351.46], [44.126,-3434.87], [43.893,-3402.475], [43.648,-3489.605], [43.373,-3496.714], [43.076,-3609.12], [42.726,-3652.814], [42.381,-3682.839], [42.109,-3868.039], [41.777,-4001.037], [41.381,-4092.478], [40.923,-4032.864], [40.407,-4011.32], [39.87,-4078.828], [39.252,-4021.814], [38.533,-4000.884], [37.709,-4023.979], [36.817,-4012.084], [35.884,-4119.401], [34.922,-4226.103], [33.985,-4364.747], [33.015,-4340.242], [31.772,-4084.583], [30.454,-4186.653], [29.164,-4334.347], [27.943,-4459.974], [26.647,-4724.885], [25.311,-4907.698], [24.035,-5196.977], [22.856,-5536.343], [21.915,-5988.342], [21.099,-6207.023], [20.393,-6277.558], [19.88,-6619.778], [19.636,-6877.075], [19.486,-7004.481], [19.361,-7169.644], [19.309,-7222.818], [19.293,-7321.001], [19.319,-7506.76], [19.38,-7669.473], [19.468,-7688.039], [19.452,-7580.956], [19.539,-7603.85], [19.69,-7499.871], [19.966,-7604.458], [20.234,-7987.768], [20.343,-8046.571], [20.515,-8010.688], [20.819,-8139.062], [21.135,-8352.702], [21.437,-8524.034], [21.635,-8747.591], [21.806,-9045.313], [21.887,-9210.366], [21.91,-9533.773], [21.765,-9970.918], [21.268,-10077.19], [20.656,-10106.954], [19.921,-10233.764], [18.956,-10184.094], [17.902,-10141.401], [16.742,-10103.894], [15.569,-9961.449], [14.364,-9788.658], [13.214,-9741.754], [11.959,-9742.078], [10.664,-9667.238], [9.451,-9661.859], [8.197,-9555.982], [6.951,-9387.272], [5.788,-9378.236], [4.736,-9395.63], [3.779,-9331.787], [2.846,-9178.237], [1.996,-9134.094], [1.157,-9067.718], [0.349,-8902.578], [-0.307,-8899.076], [-0.842,-8825.375], [-1.417,-8495.976], [-1.925,-8406.432], [-2.162,-8415.77], [-2.313,-8165.475], [-2.316,-7971.104], [-2.164,-7774.518], [-1.868,-7469.596], [-1.405,-7125.546], [-0.836,-6804.768], [-0.191,-6500.219], [0.427,-6154.017], [1.025,-5891.592], [1.71,-5692.756], [2.373,-5484.625], [2.975,-5384.557], [3.524,-5202.852], [4.052,-4905.002], [4.605,-4745.705], [5.159,-4676.503], [5.646,-4588.479], [6.087,-4447.826], [6.415,-4363.645], [6.781,-4308.298], [7.208,-4210.163], [7.607,-4341.792], [7.823,-4231.768], [8.1,-4013.293], [8.469,-4037.254], [8.784,-3968.269], [9.05,-3848.801], [9.317,-3704.935], [9.615,-3745.845], [9.999,-3745.517], [10.352,-3575.309], [10.728,-3533.071], [11.123,-3454.092], [11.655,-3307.476], [12.318,-3219.887], [13.053,-3125.011], [13.907,-3064.4], [14.821,-3024.716], [15.774,-3057.919], [16.851,-3077.195], [17.929,-3046.074], [19.11,-3149.958], [20.246,-3187.356], [21.4,-3081.013], [22.649,-3090.806], [23.927,-3123.975], [25.222,-3158.243], [26.47,-3109.859], [27.725,-3131.643], [29.074,-3250.88], [30.339,-3222.404], [31.573,-3276.256], [32.746,-3184.676], [33.961,-3054.106], [35.186,-3105.254], [36.363,-3140.104], [37.512,-3103.287], [38.66,-3028.344], [39.784,-3065.363], [40.878,-3106.046], [41.916,-3093.05], [42.889,-3138.815], [43.748,-3091.373], [44.615,-3086.79], [45.405,-3115.451], [46.112,-3065.278], [46.748,-3048.583], [47.3,-3038.282], [47.785,-3037.967], [48.197,-2976.641], [48.504,-2874.274], [48.737,-2905.508], [48.888,-2892.011], [49.067,-2823.676], [49.241,-2883.689], [49.346,-2879.874], [49.42,-2870.957], [49.467,-2926.496], [49.459,-2906.499]]
+
+scores = {"fullPump": 0,
+          "tubingMovement": 0,
+          "fluidPound": 0,
+          "gasInterference": 0,
+          "pumpTappingTop": 0,
+          "pumpTappingBottom": 0,
+          "bentBarrel": 0,
+          "wornPlunger": 0,
+          "wornStandingBill": 0,
+          "wornBarrel": 0,
+          "fluidFriction": 0,
+          "dragFriction": 0,
+          "rodPart": 0}
+
+
+def printScores():
+    print("Full Pump: {:.5f}".format(scores['fullPump']))
+    print("Tubing Movement: {:.5f}".format(scores['tubingMovement']))
+    print("Fluid Pound: {:.5f}".format(scores['fluidPound']))
+    print("Gas Interference: {:.5f}".format(scores['gasInterference']))
+    print("Pump Tapping - Top: {:.5f}".format(scores['pumpTappingTop']))
+    print("Pump Tapping - Bottom: {:.5f}".format(scores['pumpTappingBottom']))
+    print("Bent Barrel: {:.5f}".format(scores['bentBarrel']))
+    print("Worn Plunger: {:.5f}".format(scores['wornPlunger']))
+    print("Worn Standing Bill: {:.5f}".format(scores['wornStandingBill']))
+    print("Worn Barrel: {:.5f}".format(scores['wornBarrel']))
+    print("Fluid Friction: {:.5f}".format(scores['fluidFriction']))
+    print("Drag Friction: {:.5f}".format(scores['dragFriction']))
+    print("Rod Part: {:.5f}".format(scores['rodPart']))
+
+
+# helper functions
+def __find_incremental_load(target_position, downholeArray, lastResult):
+    up_point_greater = [0, 0]
+    up_point_lesser = [0, 0]
+    down_point_greater = [0, 0]
+    down_point_lesser = [0, 0]
+    up_point_found = False
+    down_point_found = False
+    for ind in range(1, len(downholeArray)):
+        # print(downholeArray[i][0])
+        if (downholeArray[ind][0] > target_position) and (downholeArray[ind - 1][0] <= target_position):
+            up_point_greater = [downholeArray[ind][0], downholeArray[ind][1]]
+            up_point_lesser = [downholeArray[ind - 1][0], downholeArray[ind - 1][1]]
+            up_point_found = True
+        if (downholeArray[ind][0] <= target_position) and (downholeArray[ind - 1][0] > target_position):
+            down_point_greater = [downholeArray[ind][0], downholeArray[ind][1]]
+            down_point_lesser = [downholeArray[ind - 1][0], downholeArray[ind - 1][1]]
+            down_point_found = True
+    if up_point_found & down_point_found:
+        m_up = (up_point_greater[1] - up_point_lesser[1]) / (up_point_greater[0] - up_point_lesser[0])
+        b_up = up_point_greater[1] - (m_up * up_point_greater[0])
+        up_middle = (m_up * target_position) + b_up
+
+        m_down = (down_point_greater[1] - down_point_lesser[1]) / (down_point_greater[0] - down_point_lesser[0])
+        b_down = down_point_greater[1] - (m_down * down_point_greater[0])
+        down_middle = (m_down * target_position) + b_down
+
+        return [up_middle - down_middle, up_middle, down_middle]
+    else:
+        return lastResult
+
+
+def __find_nearest_point_to_load(direction, card_half, target_load, ptArray, minPos, maxPos):
+    left_ignore = minPos + (minPos + maxPos) * 0.75
+    right_ignore = minPos + (minPos + maxPos) * 0.25
+
+    if direction == "up":
+        for up_i in range(1, len(ptArray)):
+            if card_half == "right" and ptArray[up_i][0] >= right_ignore:
+                if (ptArray[up_i][1] <= target_load) & (ptArray[up_i - 1][1] > target_load):
+                    return [ptArray[up_i][0], ptArray[up_i][1]]
+            elif card_half == "left" and ptArray[up_i][0] <= left_ignore:
+                if (ptArray[up_i][1] >= target_load) & (ptArray[up_i - 1][1] < target_load):
+                    return [ptArray[up_i][0], ptArray[up_i][1]]
+    else:
+        for down_i in range(len(ptArray) - 1, 1, -1):
+            if card_half == "right" and ptArray[down_i][0] >= right_ignore:
+                if (ptArray[down_i][1] >= target_load) & (ptArray[down_i - 1][1] < target_load):
+                    return [ptArray[down_i][0], ptArray[down_i][1]]
+            elif card_half == "left" and ptArray[down_i][0] <= left_ignore:
+                if (ptArray[down_i][1] <= target_load) & (ptArray[down_i - 1][1] > target_load):
+                    return [ptArray[down_i][0], ptArray[down_i][1]]
+
+
+def countPointsBetween(posLeft, posRight, dArray):
+    topPoints = 0
+    bottomPoints = 0
+    for l in range(1, len(dArray)):
+        if (dArray[l][0] > posLeft) and (dArray[l][0] <= posRight) and (dArray[l][0] < dArray[l - 1][0]):
+            topPoints += 1
+        if (dArray[l][0] <= posRight) and (dArray[l - 1][0] > posLeft) and (dArray[l][0] > dArray[l - 1][0]):
+            bottomPoints += 1
+    return [topPoints, bottomPoints]
+
+
+def average(lis):
+    listsum = 0
+    for avg_i in range(0, len(lis)):
+        listsum += lis[avg_i]
+    listavg = listsum / len(lis)
+    return listavg
+
+
+def percentDiff(m1, m2):
+    mean = (m1 + m2) / 2
+    dif = (m1 - m2) / mean
+    if dif < 0:
+        return -1 * dif
+    else:
+        return dif
+
+
+def percentError(actual, expected):
+    err = (actual - expected) / expected
+    if err < 0:
+        return -1 * err
+    else:
+        return err
+
+# find min & max position
+minPosition = downhole[0][0]
+minPositionPt = [0, 0]
+minLoad = downhole[0][1]
+maxPosition = downhole[0][0]
+maxPositionPt = [0, 0]
+maxLoad = downhole[0][1]
+for i in range(1, len(downhole)):
+    if downhole[i][0] < minPosition:
+        minPosition = downhole[i][0]
+        minPositionPt = downhole[i]
+    if downhole[i][0] > maxPosition:
+        maxPosition = downhole[i][0]
+        maxPositionPt = downhole[i]
+    if downhole[i][1] < minLoad:
+        minLoad = downhole[i][1]
+    if downhole[i][1] > maxLoad:
+        maxLoad = downhole[i][1]
+downholeLoadSpan = maxLoad - minLoad
+
+# split cards into equal slices
+sliceLength = (maxPosition - minPosition) / (slices + 1)
+slicesAll = []
+topSlices = []
+topSlicesChange = []
+bottomSlices = []
+bottomSlicesChange = []
+sliceDelta = []
+sliceDeltaChange = []
+topPointsBetween = []
+bottomPointsBetween = []
+for j in range(0, slices):
+    targetPosition = j * sliceLength + minPosition
+    nextTargetPosition = (j + 1) * sliceLength + minPosition
+
+    # measure points in each slice to look for fast/slow parts
+    ptb = countPointsBetween(targetPosition, nextTargetPosition, downhole)
+    topPointsBetween.append(ptb[0])
+    bottomPointsBetween.append(ptb[1])
+
+    # interpret mean point of each slice
+    if j > 0:
+        sliver = __find_incremental_load(targetPosition, downhole, slicesAll[j - 1])
+    else:
+        sliver = __find_incremental_load(targetPosition, downhole, [0, 0, 0])
+    slicesAll.append(sliver)
+    sliceDelta.append(sliver[0])
+    topSlices.append(sliver[1])
+    bottomSlices.append(sliver[2])
+
+for k in range(1, slices):
+    topSlicesChange.append(topSlices[k] - topSlices[k - 1])
+    bottomSlicesChange.append(bottomSlices[k] - bottomSlices[k - 1])
+    sliceDeltaChange.append(sliceDelta[k] - sliceDelta[k - 1])
+
+topSlicesAverage = average(topSlices)
+bottomSlicesAverage = average(bottomSlices)
+sliceDeltaAverage = average(sliceDelta)
+
+# find Graph Corners
+halfLoadLoad = minLoad + downholeLoadSpan / 2
+halfLoad = __find_nearest_point_to_load("up", "left", halfLoadLoad, downhole, minPosition, maxPosition)
+if minPosition < halfLoad[0]:
+    corner_bottomLeft = minPositionPt
+    corner_topLeft = __find_nearest_point_to_load("up", "left", maxLoad - downholeLoadSpan * (pctTop / 100), downhole,
+                                                  minPosition, maxPosition)
+else:
+    corner_bottomLeft = __find_nearest_point_to_load("up", "left", minLoad + downholeLoadSpan * (pctBottom / 100),
+                                                     downhole, minPosition, maxPosition)
+    corner_topLeft = minPositionPt
+corner_topRight = maxPositionPt
+corner_fillage = __find_nearest_point_to_load("up", "right", minLoad + downholeLoadSpan * (pctBottom / 100), downhole,minPosition, maxPosition)
+corner_fullFillage = [corner_bottomLeft[0] + corner_topRight[0] - corner_topLeft[0], corner_bottomLeft[1]]
+
+topSlicesAboveAverage = []
+for i in range(0, len(topSlices)):
+    if topSlices[i] > topSlicesAverage:
+        topSlicesAboveAverage.append(topSlices[i])
+if len(topSlicesAboveAverage) == 0:
+    topSlicesAboveAverageAverage = topSlicesAverage
+else:
+    topSlicesAboveAverageAverage = average(topSlicesAboveAverage)
+bottomSlicesBelowAverage = []
+for i in range(0, len(bottomSlices)):
+    if bottomSlices[i] < bottomSlicesAverage:
+        bottomSlicesBelowAverage.append(bottomSlices[i])
+if len(bottomSlicesBelowAverage) == 0:
+    bottomSlicesBelowAverageAverage = bottomSlicesAverage
+else:
+    bottomSlicesBelowAverageAverage = average(bottomSlicesBelowAverage)
+
+# find equation of line between fillage point and the top right
+# y=mx+b
+incompletionLineM = (bottomSlices[-1] - corner_fillage[1]) / ((maxPosition-2*sliceLength) - corner_fillage[0])
+incompletionLineB = bottomSlices[-1] - incompletionLineM * (maxPosition-2*sliceLength)
+def poLine(pos):
+    return incompletionLineM * pos + incompletionLineB
+# find slices in the pump-off part of the card
+poSlicesTop = []
+poSlicesBottom = []
+poSlicePos = []
+for i in range(0,len(topSlices)):
+    poSlicePosTest = i * sliceLength + minPosition
+    if poSlicePosTest > corner_fillage[0]:
+        poSlicesBottom.append(bottomSlices[i])
+        poSlicesTop.append(topSlices[i])
+        poSlicePos.append(poSlicePosTest)
+
+# get score for each possible condition based on points. points (0-100) should reflect how closesly the pattern fits
+
+# check Full pump
+# ------------------------------------
+scores['fullPump'] = round(
+    100 * ((corner_fillage[0] - corner_bottomLeft[0]) / (corner_fullFillage[0] - corner_bottomLeft[0])), 5)
+if scores['fullPump'] > 100.0:
+    scores['fullPump'] = 100.0
+
+# topPctError = percentDiff(topSlicesAverage,topSlicesAboveAverageAverage)
+# print("topPctError:", topPctError)
+# bottomPctError = percentDiff(bottomSlicesAverage,bottomSlicesBelowAverageAverage)
+# print('bottomPctError:', bottomPctError)
+# scores['fullPump'] = round(100*(percentDiff((topPctError - bottomPctError),0.01)),5)
+
+# check tubing movement & drag friction
+# ------------------------------------
+
+leftCornerDiff = corner_topLeft[0] - corner_bottomLeft[0]
+if leftCornerDiff > 0:
+    # indicates tubing movement
+    scores['dragFriction'] = 0.0
+    if leftCornerDiff < (maxPosition - minPosition) * (tubingMovementPctStroke / 100):
+        scores['tubingMovement'] = round(
+            100 * (1 - percentError(leftCornerDiff, (maxPosition - minPosition) * (tubingMovementPctStroke / 100))), 5)
+    else:
+        scores['tubingMovement'] = 100.0
+else:
+    # indicates drag friction
+    scores["tubingMovement"] = 0.0
+    if abs(leftCornerDiff) < (maxPosition - minPosition) * (tubingMovementPctStroke / 100):
+        scores['dragFriction'] = round(100 * (
+            1 - percentError(abs(leftCornerDiff), (maxPosition - minPosition) * (tubingMovementPctStroke / 100))), 5)
+    else:
+        scores['dragFriction'] = 100.0
+
+# Check Pump Tapping Top
+# ------------------------------------
+if topSlices[len(topSlices) - 1] > topSlicesAboveAverageAverage:
+    scores['pumpTappingTop'] = 100 * percentDiff(topSlices[len(topSlices) - 1], minLoad + downholeLoadSpan * (pumpTapPercent/100))
+else:
+    scores['pumpTappingTop'] = 0.0
+
+# Check Pump Tapping Bottom
+# ------------------------------------
+if bottomSlices[len(bottomSlices) - 1] < bottomSlicesBelowAverageAverage:
+    scores['pumpTappingBottom'] = 100 * percentDiff(bottomSlices[len(bottomSlices) - 1], minLoad - downholeLoadSpan * (pumpTapPercent/100))
+else:
+    scores['pumpTappingBottom'] = 0.0
+
+# check fluid pound & gas interference
+# ------------------------------------
+distFromPOLine = []
+linear = []
+for i in range(0,len(poSlicePos)):
+    distFromPOLine.append(poSlicesBottom[i] - poLine(poSlicePos[i]))
+    linear.append(poLine(poSlicePos[i]))
+
+pRegC = np.polyfit(poSlicePos, poSlicesBottom, 3)
+fitPOSlicesBottom = []
+for i in range(0, len(poSlicePos)):
+    fitPOSlicesBottom.append(pRegC[0] * poSlicePos[i]**3 + pRegC[1] * poSlicePos[i]**2 + pRegC[2] * poSlicePos[i] + pRegC[3])
+gradient1 = np.gradient(fitPOSlicesBottom)
+gradient2 = np.gradient(gradient1)
+
+c2 = np.polyfit(poSlicePos, poSlicesBottom, 2)
+c4 = np.polyfit(poSlicePos, poSlicesBottom, 4)
+c5 = np.polyfit(poSlicePos, poSlicesBottom, 5)
+c6 = np.polyfit(poSlicePos, poSlicesBottom, 6)
+
+c2g = []
+c4g = []
+c5g = []
+c6g = []
+
+for i in range(0, len(poSlicePos)):
+    ps = poSlicePos[i]
+    c2g.append(c2[0] * ps**2 + c2[1] * ps + c2[2])
+    c4g.append(c4[0] * ps**4 + c4[1] * ps**3 + c4[2] * ps**2 + c4[3] * ps + c4[4])
+    c5g.append(c5[0] * ps**5 + c5[1] * ps**4 + c5[2] * ps**3 + c5[3] * ps**2 + c5[4] * ps + c5[5])
+    c6g.append(c6[0] * ps**6 + c6[1] * ps**5 + c6[2] * ps**4 + c6[3] * ps**3 + c6[4] * ps**2 + c6[5] * ps + c6[6])
+
+
+inflectionPoint = [0,0]
+for i in range(len(gradient2)-1, 0, -1):
+    if (gradient2[i-1] < 0) & (gradient2[i] > 0):
+        inflectionPoint = [poSlicePos[i], poSlicesBottom[i], i]
+if inflectionPoint == [0,0]:
+    inflectionPoint = [poSlicePos[-1], poSlicesBottom[-1], len(poSlicePos)-1]
+
+inflectionLineM = (inflectionPoint[1] - corner_fillage[1]) / ((inflectionPoint[0]) - corner_fillage[0])
+inflectionLineB = inflectionPoint[1] - inflectionLineM * (inflectionPoint[0])
+def inflectionL(pos):
+    return inflectionLineM * pos + inflectionLineB
+
+inflectionLine = []
+for i in range(0,inflectionPoint[2]+1):
+    inflectionLine.append(inflectionL(poSlicePos[i]))
+inflectionError = 0
+for i in range(0,len(inflectionLine)):
+    inflectionError += (poSlicesBottom[i] - inflectionLine[i]) * sliceLength
+inflectionArea = (1/2) * (inflectionPoint[1] - corner_fillage[1]) * (inflectionPoint[0] - corner_fillage[0])
+inflectionGasInterferenceError = 1 - (inflectionError / inflectionArea)
+
+linearError = 0
+for i in range(0, len(distFromPOLine)):
+    linearError += distFromPOLine[i] * sliceLength
+pumpOffArea = (1/2) * (corner_topRight[1] - corner_fillage[1]) * (corner_topRight[0] - corner_fillage[0])
+gasInterferenceError = 1 - (linearError / pumpOffArea)
+
+wellFriction = topSlicesAboveAverageAverage - inflectionPoint[1]
+fluidLoad = downholeLoadSpan - wellFriction
+print("Well Friction:", wellFriction)
+print("Fluid Load:", fluidLoad)
+
+scores['gasInterference'] = inflectionGasInterferenceError * 100
+if scores['gasInterference'] > 100:
+    scores['gasInterference'] = 100.0
+scores['fluidPound'] = 100 - scores['gasInterference']
+
+# check worn plunger
+# ------------------------------------
+
+# check worn standing bill
+# ------------------------------------
+
+# check worn barrel
+# ------------------------------------
+
+# check fluid friction
+# ------------------------------------
+
+# check rod part
+# ------------------------------------
+if downholeLoadSpan < 1000:
+    scores['rodPart'] = 100
+elif downholeLoadSpan < 1500:
+    scores['rodPart'] = 75
+elif downholeLoadSpan < 1500:
+    scores['rodPart'] = 50
+elif downholeLoadSpan < 2000:
+    scores['rodPart'] = 25
+else:
+    scores['rodPart'] = 0
+
+
+
+
+# compare scores
+printScores()
+# Plot Card on graph
+tpltPos = []
+tpltLod = []
+bpltPos = []
+bpltLod = []
+for i in range(0, len(topSlices)):
+    tpltLod.append(topSlices[i])
+    tpltPos.append(minPosition + sliceLength * i)
+for i in range(0, len(bottomSlices)):
+    bpltLod.append(bottomSlices[i])
+    bpltPos.append(minPosition + sliceLength * i)
+
+fig = plt.figure(figsize=(12, 9))
+fig.canvas.set_window_title('Downhole Card Analysis')
+
+plt.plot(tpltPos, tpltLod, 'g') # plot top points
+plt.plot(bpltPos, bpltLod, 'g') # plot bottom points
+
+# using linear error
+# plt.plot([corner_fillage[0], corner_fillage[0],poSlicePos[-1],corner_fillage[0]],[corner_fillage[1],bottomSlices[-1], bottomSlices[-1],corner_fillage[1]],'y')
+# plt.plot(poSlicePos, linear)
+
+# using inflection point error
+plt.plot([corner_fillage[0], corner_fillage[0],inflectionPoint[0],corner_fillage[0]],[corner_fillage[1],inflectionPoint[1], inflectionPoint[1],corner_fillage[1]],'purple')
+plt.plot(poSlicePos[0:len(inflectionLine)], inflectionLine, 'red')
+
+# average load lines
+# plt.axhline(y=topSlicesAverage, xmin=0, xmax=1)
+# plt.axhline(y=bottomSlicesAverage, xmin=0, xmax=1)
+# plt.axhline(y=topSlicesAboveAverageAverage, xmin=0, xmax=1)
+# plt.axhline(y=bottomSlicesBelowAverageAverage, xmin=0, xmax=1)
+
+# curve fit of pump-off
+# plt.plot(poSlicePos, c2g, 'orange')
+plt.plot(poSlicePos, fitPOSlicesBottom, 'b')
+# plt.plot(poSlicePos, c4g, 'red')
+# .plot(poSlicePos, c5g, 'brown')
+# plt.plot(poSlicePos, c6g, 'purple')
+
+plt.grid(True)
+plt.show()
--- a/findCorners.py
+++ b/findCorners.py
@@ -0,0 +1,166 @@
+# Python program to analyze cards
+import matplotlib.pyplot as plt
+import readCardFile as rcf
+import math
+import os, sys
+
+def main(sl = 100):
+    # Setup Data
+    slices = int(sl) # number of horizontal slices to evaluate
+    #downhole = rcf.readFile("{0}/{1}".format(os.getcwd(), "testCard.csv"))[1] # read in CSV file output from POConsole/POCloud
+    downhole = rcf.readFile()[1]
+    num_points = len(downhole)
+
+    dh_pos = list(map(lambda x: x[0], downhole))
+    dh_pos_max = max(dh_pos)
+    dh_pos_min = min(dh_pos)
+
+    dh_lod = list(map(lambda x: x[1], downhole))
+    dh_lod_max = max(dh_lod)
+    dh_lod_min = min(dh_lod)
+
+    max_p = (dh_pos_max, dh_lod[dh_pos.index(dh_pos_max)])
+    min_p = (dh_pos_min, dh_lod[dh_pos.index(dh_pos_min)])
+
+    def determine_d_pos(min, max, num_slices):
+        return (max - min) / num_slices
+
+    d_pos = determine_d_pos(dh_pos_min, dh_pos_max, slices)
+
+    def distribute_positions(min, max, num_slices, dp):
+        """ distributes positions equally between the max and min values. Returns a list of positions """
+        p_targ = []
+
+        for i in range(0, num_slices):
+            p_targ.append(min + i * dp)
+        return p_targ
+
+    position_targets = distribute_positions(dh_pos_min, dh_pos_max, slices, d_pos)
+
+    def lineresolve(x1,x2,y1,y2,targ):
+        m = ((y2-y1)/(x2-x1))
+        b = y1 - m * x1
+        return(m * targ + b)
+
+
+    def find_top_slices():
+        """ finds the top slices of a card. Returns a list of (position,load) tuples"""
+        t_slices = []
+        last_pos_index = 0
+        for i in range(0,slices):
+            targ = position_targets[i]
+            for j in range(last_pos_index, num_points -1):
+                if (dh_pos[j] <= targ and dh_pos[j+1] > targ):
+                    found_i = j
+                    next_i = j+1
+                    fake_load = lineresolve(dh_pos[found_i], dh_pos[next_i], dh_lod[found_i], dh_lod[next_i], targ)
+                    t_slices.append((targ, fake_load))
+                    last_pos_index = found_i
+                    break
+        return t_slices
+
+    top_slices = find_top_slices()
+    print("== TOP ==")
+    for i in top_slices:
+        print("{0} - {1}".format(i[0], i[1]))
+
+    def find_bot_slices():
+        """ finds the top slices of a card. Returns a list of (position,load) tuples"""
+        b_slices = []
+        last_pos_index = 0
+        for i in range(0,slices):
+            targ = position_targets[i]
+            for j in range(0, num_points -1):
+                if (dh_pos[j] > targ and dh_pos[j+1] <= targ):
+                    found_i = j
+                    next_i = j+1
+                    fake_load = lineresolve(dh_pos[found_i], dh_pos[next_i], dh_lod[found_i], dh_lod[next_i], targ)
+
+                    b_slices.append((targ, fake_load))
+                    #last_pos_index = found_i
+                    break
+        return b_slices
+
+    bot_slices = find_bot_slices()
+    print("== BOTTOM ==")
+    for i in bot_slices:
+        print("{0} - {1}".format(i[0], i[1]))
+
+    def distance_to_line(x0,y0):
+        """ Finds the perpendicular distance from a point to the line between max and min points"""
+        x1 = min_p[0]
+        x2 = max_p[0]
+        # y1 = min_p[1]
+        # y2 = max_p[1]
+        y1 = dh_lod_min
+        y2 = dh_lod_max
+
+        d = abs((y2-y1)*x0 - (x2-x1)*y0 + x2*y1 - y2*x1) / math.sqrt(math.pow(y2-y1,2) + math.pow(x2-x1,2))
+        return d
+
+    top_d = []
+    bot_d = []
+
+    # Here's where we get the distance from each point to the line
+    for i in range(1,slices):
+        try:
+            top_d.append(distance_to_line(top_slices[i][0], top_slices[i][1]))
+        except Exception:
+            print("Error - top_d, index: {0}".format(i))
+
+
+        try:
+            bot_d.append(distance_to_line(bot_slices[i][0], bot_slices[i][1]))
+        except Exception:
+            print("Error - bot_d, index: {0}".format(i))
+
+    top_cor_i = top_d.index(max(top_d))
+    bot_cor_i = bot_d.index(max(bot_d))
+    top_corner = top_slices[top_cor_i]
+    bot_corner = bot_slices[bot_cor_i]
+
+    tubing_movement = top_corner[0] - dh_pos_min
+    fillage = (bot_corner[0] - dh_pos_min)/(dh_pos_max - (dh_pos_min + tubing_movement)) * 100
+    print("=================================================")
+    print("Tubing Movement: {0} in.".format(round(tubing_movement,3)))
+    print("Fill Percent:    {0}%".format(round(fillage, 3)))
+
+
+    #determine difference between gas interference and incomplete fill
+    po_area = 0.0
+    actual_area = 0.0
+    bot_last = bot_slices[-1]
+    gas_line = []
+    for i in range(bot_cor_i, len(bot_slices)):
+        gas_line_load = lineresolve(bot_corner[0], bot_last[0], bot_corner[1], bot_last[1], bot_slices[i][0])
+        gas_line.append((bot_slices[i][0], gas_line_load))
+        po_area = po_area + (bot_last[0] - gas_line_load) * d_pos
+        actual_area = actual_area + abs(gas_line_load - bot_slices[i][1]) * d_pos
+    area_ratio = actual_area / po_area
+    print ("\nFull Area: {0}\nActual Area: {1}".format(po_area, actual_area))
+    print("\nIncomplete Fillage Score:{0}%\nGas Interference Score:{1}%".format(round(area_ratio*100,3), round((1-area_ratio)*100,3)))
+
+    print("=================================================")
+
+
+    plt.figure()
+    plt.subplot(211)
+    plt.plot(list(map(lambda x: x[0], downhole)), list(map(lambda x: x[1], downhole)) ,'r')
+    plt.plot(list(map(lambda x: x[0], top_slices)), list(map(lambda x: x[1], top_slices)) ,'b')
+    plt.plot(list(map(lambda x: x[0], bot_slices)), list(map(lambda x: x[1], bot_slices)) ,'g')
+    plt.plot(list(map(lambda x: x[0], gas_line)), list(map(lambda x: x[1], gas_line)) ,'m')
+
+    plt.subplot(212)
+    plt.plot(list(map(lambda x: x[0], top_slices))[1:], top_d ,'r')
+    plt.plot(list(map(lambda x: x[0], bot_slices))[1:], bot_d ,'y')
+    #ax2.axvline(x=top_corner[0])
+    #ax2.axvline(x=bot_corner[0])
+
+    plt.grid(True)
+    plt.show()
+
+if __name__ == "__main__":
+    if len(sys.argv) > 1:
+        main(sys.argv[1])
+    else:
+        main()
--- a/readCardFile.py
+++ b/readCardFile.py
@@ -0,0 +1,35 @@
+__author__ = 'patrickjmcd'
+
+import Tkinter as tk
+import tkFileDialog as fd
+
+def readFile(file=None):
+    surface = []
+    downhole = []
+    if not file:
+        tk.Tk().withdraw()
+        file_path = fd.askopenfilename()
+    else:
+        file_path = file
+
+    storeSurface = False
+    storeDownhole = False
+    import csv
+    with open(file_path, 'r') as csvfile:
+        dataReader = csv.reader(csvfile)
+        for row in dataReader:
+            if storeDownhole:
+                downhole.append((float(row[0]),float(row[1])))
+            if row[0]=="d_pos":
+                storeSurface = False
+                storeDownhole = True
+            if storeSurface:
+                surface.append((float(row[0]),float(row[1])))
+            if row[0]=="s_pos":
+                storeSurface = True
+                storeDownhole = False
+
+    return [surface, downhole]
+
+# if __name__ == "__main__":
+#     readFile()
--- a/regressionTesting/Example1/2ndOrder.png
+++ b/regressionTesting/Example1/2ndOrder.png
--- a/regressionTesting/Example1/2ndOrder_full.png
+++ b/regressionTesting/Example1/2ndOrder_full.png
--- a/regressionTesting/Example1/3rdOrder.png
+++ b/regressionTesting/Example1/3rdOrder.png
--- a/regressionTesting/Example1/3rdOrder_full.png
+++ b/regressionTesting/Example1/3rdOrder_full.png
--- a/regressionTesting/Example1/4thOrder.png
+++ b/regressionTesting/Example1/4thOrder.png
--- a/regressionTesting/Example1/4thOrder_full.png
+++ b/regressionTesting/Example1/4thOrder_full.png
--- a/regressionTesting/Example1/5thOrder.png
+++ b/regressionTesting/Example1/5thOrder.png
--- a/regressionTesting/Example1/5thOrder_full.png
+++ b/regressionTesting/Example1/5thOrder_full.png
--- a/regressionTesting/Example1/6thOrder.png
+++ b/regressionTesting/Example1/6thOrder.png
--- a/regressionTesting/Example1/6thOrder_full.png
+++ b/regressionTesting/Example1/6thOrder_full.png
--- a/regressionTesting/Example2/2ndOrder.png
+++ b/regressionTesting/Example2/2ndOrder.png
--- a/regressionTesting/Example2/2ndOrder_full.png
+++ b/regressionTesting/Example2/2ndOrder_full.png
--- a/regressionTesting/Example2/3rdOrder.png
+++ b/regressionTesting/Example2/3rdOrder.png
--- a/regressionTesting/Example2/3rdOrder_full.png
+++ b/regressionTesting/Example2/3rdOrder_full.png
--- a/regressionTesting/Example2/4thOrder.png
+++ b/regressionTesting/Example2/4thOrder.png
--- a/regressionTesting/Example2/4thOrder_full.png
+++ b/regressionTesting/Example2/4thOrder_full.png
--- a/regressionTesting/Example2/5thOrder.png
+++ b/regressionTesting/Example2/5thOrder.png
--- a/regressionTesting/Example2/5thOrder_full.png
+++ b/regressionTesting/Example2/5thOrder_full.png
--- a/regressionTesting/Example2/6thOrder.png
+++ b/regressionTesting/Example2/6thOrder.png
--- a/regressionTesting/Example2/6thOrder_full.png
+++ b/regressionTesting/Example2/6thOrder_full.png
--- a/testCard.csv
+++ b/testCard.csv
@@ -0,0 +1,227 @@
+"localtime","2015-11-04 12:15:09.439141"
+"utctime","2015-11-04 18:15:09.439141"
+"Card_ID","6372"
+"Num_Tapers","3"
+"Num_Points","99"
+"Card_Type","0"
+"Well_Name","Denise1601"
+"Tubing_Head_Pressure","50.0"
+"Fluid_Gradient","0.44999998807907104"
+"Stuffing_Box_Friction","100.0"
+"dt","0.07500000298023224"
+"Downhole_Max_Load","-526.87939453125"
+"Downhole_Min_Load","-7897.5439453125"
+"Downhole_Max_Position","60.587005615234375"
+"Downhole_Min_Position","-24.125038146972656"
+"Downhole_Gross_Stroke","84.71204376220703"
+"Downhole_Adjusted_Gross_Stroke","84.7914047241211"
+"Downhole_Net_Stroke","55.0130615234375"
+"Downhole_Fluid_Load","4686.138671875"
+"Surface_Max_Load","19870.0"
+"Surface_Min_Load","14372.0"
+"Surface_Max_Position","102.35242462158203"
+"Surface_Min_Position","-0.04880121350288391"
+"Tubing_Movement","-0.07936454564332962"
+"Surface_Stroke_Length","102.4012222290039"
+"Fillage_Percent","64.3893814086914"
+"Polished_Rod_HP","3.1364829540252686"
+"Pump_HP","2.222397804260254"
+"SPM","8.080738067626953"
+"Fluid_Above_Pump","6301.8017578125"
+"Stroke_Production","0.02783350832760334"
+"s_pos","s_load"
+"93.398","17086.0"
+"91.515","17048.0"
+"89.589","16972.0"
+"87.589","16841.0"
+"85.512","16707.0"
+"83.053","16561.0"
+"80.681","16466.0"
+"78.327","16409.0"
+"75.429","16390.0"
+"72.627","16374.001"
+"70.131","16332.0"
+"66.977","16227.0"
+"63.972","16076.0"
+"61.077","15845.0"
+"57.669","15613.0"
+"54.186","15379.0"
+"50.876","15128.0"
+"47.587","14885.0"
+"44.252","14653.0"
+"40.975","14337.0"
+"37.813","14001.0"
+"34.284","13556.0"
+"30.98","13136.0"
+"27.847","12673.999"
+"24.425","12333.0"
+"21.17","12051.0"
+"18.27","11903.0"
+"15.414","11819.0"
+"12.557","11795.0"
+"10.132","11799.0"
+"7.927","11820.0"
+"5.754","11865.999"
+"4.089","11937.999"
+"2.545","12075.0"
+"1.339","12260.0"
+"0.472","12556.0"
+"-0.074","12889.0"
+"-0.368","13345.999"
+"-0.25","13801.0"
+"-0.049","14372.0"
+"0.426","14897.0"
+"1.341","15501.0"
+"2.357","16015.0"
+"3.497","16577.0"
+"5.109","17047.0"
+"6.8","17569.0"
+"8.502","18011.0"
+"10.679","18480.0"
+"12.965","18832.0"
+"15.086","19136.0"
+"17.612","19302.0"
+"20.242","19378.0"
+"22.824","19364.0"
+"25.506","19282.0"
+"28.503","19190.0"
+"31.475","19116.0"
+"33.923","19127.0"
+"36.863","19247.0"
+"39.621","19427.0"
+"41.982","19650.0"
+"44.881","19800.0"
+"47.613","19870.0"
+"50.177","19835.0"
+"52.751","19720.0"
+"55.53","19604.0"
+"58.111","19511.0"
+"60.527","19486.0"
+"63.239","19514.0"
+"65.704","19561.0"
+"68.063","19602.0"
+"70.593","19597.0"
+"73.05","19517.0"
+"75.196","19378.0"
+"77.563","19163.0"
+"79.977","18972.0"
+"82.256","18803.0"
+"84.429","18727.0"
+"86.889","18717.0"
+"89.117","18746.0"
+"91.097","18771.0"
+"93.252","18745.0"
+"95.093","18637.0"
+"96.677","18484.0"
+"98.182","18282.0"
+"99.385","18119.0"
+"100.338","17983.0"
+"101.113","17919.0"
+"101.72","17908.0"
+"102.111","17931.0"
+"102.352","17957.0"
+"102.351","17941.0"
+"101.965","17849.0"
+"101.524","17704.0"
+"100.899","17496.0"
+"100.143","17314.0"
+"99.199","17151.0"
+"98.041","17066.0"
+"d_pos","d_load"
+"60.986","-1421.341"
+"61.18","-1630.285"
+"61.098","-1723.069"
+"60.894","-1816.997"
+"60.518","-1893.947"
+"59.96","-1743.353"
+"59.262","-1684.411"
+"58.597","-1797.25"
+"57.767","-1847.692"
+"56.769","-2028.492"
+"55.666","-2365.939"
+"54.4","-2577.627"
+"52.854","-2681.227"
+"51.205","-2890.279"
+"49.477","-2904.455"
+"47.627","-2769.189"
+"45.85","-3007.649"
+"44.143","-3272.492"
+"42.433","-3451.081"
+"40.817","-4005.708"
+"39.223","-4469.438"
+"37.615","-4626.933"
+"36.149","-5001.764"
+"34.751","-5299.257"
+"33.517","-5367.123"
+"32.486","-5578.117"
+"31.658","-5912.868"
+"31.018","-6186.276"
+"30.5","-6477.536"
+"29.881","-6812.0"
+"29.256","-6948.168"
+"28.537","-6880.609"
+"27.816","-6962.176"
+"27.003","-7007.687"
+"26.076","-6916.81"
+"25.058","-7059.85"
+"23.881","-7302.985"
+"22.482","-7429.931"
+"20.864","-7667.682"
+"18.99","-7897.544"
+"16.687","-7720.645"
+"14.287","-7572.63"
+"11.679","-7466.455"
+"8.855","-7031.728"
+"5.906","-6759.008"
+"2.991","-6597.28"
+"-0.217","-6196.185"
+"-3.22","-6081.894"
+"-6.359","-5920.985"
+"-9.479","-5484.665"
+"-12.556","-5238.389"
+"-15.253","-5103.293"
+"-17.768","-4894.909"
+"-19.836","-4836.033"
+"-21.658","-4788.491"
+"-22.939","-4528.13"
+"-23.794","-4188.902"
+"-24.125","-3951.927"
+"-23.994","-3569.314"
+"-23.434","-3062.452"
+"-22.585","-2650.886"
+"-21.336","-2287.333"
+"-19.872","-1719.896"
+"-18.173","-1279.187"
+"-16.214","-1101.919"
+"-14.06","-748.781"
+"-11.811","-526.879"
+"-9.409","-646.94"
+"-6.948","-617.908"
+"-4.416","-720.337"
+"-1.873","-1075.932"
+"0.549","-1190.441"
+"2.945","-1081.959"
+"5.33","-1000.862"
+"7.835","-898.726"
+"10.543","-717.542"
+"13.399","-720.939"
+"16.366","-904.753"
+"19.423","-969.946"
+"22.449","-1055.779"
+"25.41","-1216.705"
+"28.249","-1172.759"
+"31.03","-1007.448"
+"33.73","-931.535"
+"36.425","-849.579"
+"39.053","-669.859"
+"41.666","-690.598"
+"44.192","-843.798"
+"46.608","-885.599"
+"48.878","-1064.131"
+"50.934","-1207.103"
+"52.612","-991.171"
+"54.205","-885.51"
+"55.582","-811.091"
+"56.797","-643.467"
+"57.951","-725.744"
+"58.99","-867.17"
--- a/upstrokeDownstroke.py
+++ b/upstrokeDownstroke.py
@@ -0,0 +1,35 @@
+import readCardFile as rcf
+import matplotlib.pyplot as plt
+
+downhole = rcf.readFile()[1]
+
+upstroke = []
+downstroke = []
+mUp = False
+
+for i in range (2,len(downhole)-1):
+    if downhole[i][0] > downhole[i-1][0]:
+        upstroke.append(downhole[i])
+        mUp = True
+    elif downhole[i][0] < downhole[i-1][0]:
+        downstroke.append(downhole[i])
+        mUp = False
+    else:
+        if mUp:
+            upstroke.append(downhole[i])
+        else:
+            downstroke.append(downhole[i])
+
+
+p,l = zip(*downhole)
+uP, uL = zip(*upstroke)
+dP,dL = zip(*downstroke)
+
+
+fig = plt.figure(figsize=(12, 9))
+fig.canvas.set_window_title('Downhole Card Analysis')
+plt.plot(p,l,'g')
+plt.plot(uP, uL, 'b')
+plt.plot(dP, dL, 'r')
+plt.grid(True)
+plt.show()
--- a/wellInflow.py
+++ b/wellInflow.py
@@ -0,0 +1,21 @@
+'''Well Inflow Calculator'''
+import math
+
+def annulusCrossSectionalArea(id, od):
+    '''Calculates cross-sectional area of an annulus'''
+    return math.pi/4*(math.pow(od,2)-math.pow(id,2))
+
+bblPerIn3 = 0.00010307
+
+casingID = 5.0
+tubingOD = 2.375
+
+dailyProduction  = 13.36 #BBL
+fluidLevelChange = -23.0 #ft
+fluidLevelChangeInches = fluidLevelChange * 12.0
+casingAnnulusArea = annulusCrossSectionalArea(tubingOD, casingID)
+
+wellInflowBBL = fluidLevelChangeInches * casingAnnulusArea * bblPerIn3 + dailyProduction
+print ("Inflow:",wellInflowBBL, "BBL")
+wellInflowRate = wellInflowBBL / 24.0
+print ("Inflow Rate:", wellInflowRate, "BBL/HR")
--- a/wholeCardRegression.py
+++ b/wholeCardRegression.py
@@ -0,0 +1,165 @@
+# Python program to analyze cards
+import matplotlib.pyplot as plt
+import numpy as np
+import readCardFile as rcf
+import math
+
+# Setup Data
+slices = 250 # number of horizontal slices to evaluate
+regN = 10 # regression level
+
+downhole = rcf.readFile()[1] # read in CSV file output from POConsole/POCloud
+
+# helper functions
+def __find_incremental_load(target_position, downholeArray, lastResult):
+    up_point_greater = [0, 0]
+    up_point_lesser = [0, 0]
+    down_point_greater = [0, 0]
+    down_point_lesser = [0, 0]
+    up_point_found = False
+    down_point_found = False
+    for ind in range(1, len(downholeArray)):
+        # print(downholeArray[i][0])
+        if (downholeArray[ind][0] > target_position) and (downholeArray[ind - 1][0] <= target_position):
+            up_point_greater = [downholeArray[ind][0], downholeArray[ind][1]]
+            up_point_lesser = [downholeArray[ind - 1][0], downholeArray[ind - 1][1]]
+            up_point_found = True
+        if (downholeArray[ind][0] <= target_position) and (downholeArray[ind - 1][0] > target_position):
+            down_point_greater = [downholeArray[ind][0], downholeArray[ind][1]]
+            down_point_lesser = [downholeArray[ind - 1][0], downholeArray[ind - 1][1]]
+            down_point_found = True
+    if up_point_found & down_point_found:
+        m_up = (up_point_greater[1] - up_point_lesser[1]) / (up_point_greater[0] - up_point_lesser[0])
+        b_up = up_point_greater[1] - (m_up * up_point_greater[0])
+        up_middle = (m_up * target_position) + b_up
+
+        m_down = (down_point_greater[1] - down_point_lesser[1]) / (down_point_greater[0] - down_point_lesser[0])
+        b_down = down_point_greater[1] - (m_down * down_point_greater[0])
+        down_middle = (m_down * target_position) + b_down
+
+        return [up_middle - down_middle, up_middle, down_middle]
+    else:
+        return lastResult
+
+def findLine(x1,y1,x2,y2): # finds the slope and intercept of a line between two points
+	m = (y2-y1)/(x2-x1)
+	b = y1 - m*x1
+	return(m,b)
+
+def vectorDist(x1,y1,x2,y2):
+	return math.sqrt((x2-x1)**2 + (y2-y1)**2)
+
+def perpDist(x,y,m,b):
+	# line as mx+b
+	return abs(m*x + (-1) * y + b) / math.sqrt( m**2 + (-1)**2)
+
+
+# find min & max position
+minPosition = min(downhole, key = lambda x:x[0])
+minLoad = min(downhole, key = lambda x:x[1])
+maxPosition = max(downhole, key = lambda x:x[0])
+maxLoad = max(downhole, key = lambda x:x[1])
+downholeLoadSpan = maxLoad[1] - minLoad[1]
+
+# split cards into equal slices
+sliceLength = (maxPosition[0] - minPosition[0]) / (slices + 1)
+slicesAll = []
+topSlices = []
+bottomSlices = []
+sliceDelta = []
+posSlices = []
+for j in range(0, slices):
+    targetPosition = j * sliceLength + minPosition[0]
+    nextTargetPosition = (j + 1) * sliceLength + minPosition[0]
+
+    # interpret mean point of each slice
+    if j > 0:
+        sliver = __find_incremental_load(targetPosition, downhole, slicesAll[j - 1])
+    else:
+        sliver = __find_incremental_load(targetPosition, downhole, [0, 0, 0])
+    slicesAll.append(sliver)
+    sliceDelta.append(sliver[0])
+    topSlices.append(sliver[1])
+    bottomSlices.append(sliver[2])
+    posSlices.append(targetPosition)
+
+
+
+topC = np.polyfit(posSlices, topSlices, regN)
+botC = np.polyfit(posSlices, bottomSlices, regN)
+
+topReg = []
+botReg = []
+
+for i in range(0,len(posSlices)):
+	x = posSlices[i]
+	tr = 0
+	br = 0
+	for j in range(0,regN+1):
+		tr += topC[j] * x**(regN-j)
+		br += botC[j] * x**(regN-j)
+	topReg.append(tr)
+	botReg.append(br)
+
+p,l = zip(*downhole)
+
+(tm,tb) = findLine(posSlices[0], topSlices[0], posSlices[-1], topSlices[-1])
+(bm,bb) = findLine(posSlices[0], bottomSlices[0], posSlices[-1], bottomSlices[-1])
+
+#(tm,tb) = findLine(minPosition[0], minPosition[1], maxPosition[0], maxPosition[1])
+#(bm,bb) = findLine(minPosition[0], minPosition[1], maxPosition[0], maxPosition[1])
+
+linePos = np.linspace(posSlices[0], posSlices[-1], len(posSlices))
+
+
+
+topDist = []
+bottomDist = []
+tLine = []
+bLine = []
+corner_topLeft = (0, 0)
+corner_fillage = (0, 0)
+maxTopDist = 0.0
+maxBotDist = 0.0
+for i in range(0, len(posSlices)):
+	tLineY = linePos[i] * tm + tb
+	#td = vectorDist(posSlices[i], topSlices[i], linePos[i], tLineY)
+	td = perpDist(posSlices[i], topSlices[i], tm, tb)
+	topDist.append(td)
+	tLine.append(tLineY)
+	if td > maxTopDist:
+		maxTopDist = td
+		corner_topLeft = (posSlices[i], topSlices[i])
+	tLine.append(tLineY)
+
+	bLineY = linePos[i] * bm + bb
+	#bd = vectorDist(posSlices[i], bottomSlices[i], linePos[i], bLineY)
+	bd = perpDist(posSlices[i], bottomSlices[i], bm, bb)
+	bLine.append(bLineY)
+	bottomDist.append(bd)
+	if bd > maxBotDist:
+		maxBotDist = bd
+		corner_fillage = (posSlices[i], bottomSlices[i])
+
+fillPercent = (corner_fillage[0] - minPosition[0])/(maxPosition[0] - corner_topLeft[0]) * 100
+print("Fill:", fillPercent)
+
+
+fig = plt.figure(figsize=(12, 9))
+fig.canvas.set_window_title('Downhole Card Analysis')
+
+# plt.plot(p, l, 'g') # plot actual card
+plt.plot(posSlices, topSlices, 'r') # plot bottom points
+plt.plot(posSlices, bottomSlices, 'r') # plot bottom points
+
+# plt.plot(posSlices, topReg, 'b')
+# plt.plot(posSlices, botReg, 'b')
+# plt.plot(posSlices, topDist, 'y')
+# plt.plot(posSlices, bottomDist, 'g')
+plt.axvline(x=corner_topLeft[0])
+plt.axvline(x=corner_fillage[0])
+# plt.plot(linePos, tLine, 'orange')
+# plt.plot(linePos, bLine, 'purple')
+
+plt.grid(True)
+plt.show()