Unsupervised Machine Learning-Based Singularity Models: A Case Study of the Taiwan Strait Basin
Yan Zhang,
Li Zhang,
Zhenyu Lei
et al.
Abstract:The identification of geochemical anomalies in oil and gas indicators is a fundamental task in oil and gas exploration, as the process of oil and gas accumulation is a low probability event. Machine learning algorithms for anomaly detection are applicable to the identification of oil and gas geochemical anomalies related to oil and gas accumulation. However, when using oil and gas indicators for anomaly detection, the diversity of these indicators often leads to the influence of the indicator redundancy on the… Show more
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