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LITHOFACIES RECOGNITION BASED ON FUZZY LOGIC AND NEURAL NETWORKS: A METHODOLOGICAL COMPARISON

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Figure 2 – Project methodology flow chart.
Table 1 – Clustering of 21 lithologies yielded from core descriptions into synthetic, representative units of shale, sandstone and limestone.
Figure 4 – Histogram of log records for 360 samples classified as sandstone (a) Sonic = Minimum Value = 64.23 µ s/ft, Maximum Value = 116.33 µ s/ft, Average = 90.28 µ s/ft, Standard Deviation = 8.68; (b) Gamma ray = Minimum Value = 34.19 API, Maximum Value
Figure 5 – Histogram of log records for 29 samples classified as limestone (carbonate) (a) Sonic = Minimum Value = 57.46 µ s/ft, Maximum Value = 78.28 µ s/ft, Average = 67.87 µ s/ft, Standard Deviation = 3.47; (b) Gamma ray = Minimum Value = 14.23 API, Max
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