Application of Machine Learning in Prediction of Lithofacies from Well Logs
DOI:
https://doi.org/10.47611/jsrhs.v13i1.6250Keywords:
Machine Learning, Well Logging, Computer Science, Geology, Geophysics, Neural Networks, Artificial IntelligenceAbstract
As humanity’s reliance on mineral resources continuously grows, new technologies need to be implemented in the mining industry to fulfill this demand. A method of using well logging data to predict rock types in the surrounding area using a multiclass classification neural network is discussed as a potential way to increase efficiency. The model achieved an accuracy rate much higher than would be possible through guessing, 70% as compared to 11%, demonstrating the effectiveness of such technology. Potential ways this model can be applied and improved were also discussed.
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Copyright (c) 2024 Yuxiang Tian; Alfred Renaud, Guillermo Goldsztein
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