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Normalized oil content (NOC) is an important geochemical factor for identifying potential pay zones in hydrocarbon source rocks. The present study proposes an optimal and improved model to make a quantitative and qualitative correlation between NOC and well log responses by integration of neural network training algorithms and the committee machine concept. This committee machine with training algorithms...
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