CBM Gas Content Estimation using Machine Learning and Geophysical logs
收藏DataCite Commons2026-04-23 更新2026-05-04 收录
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https://data.mendeley.com/datasets/34cj7ctbt4/1
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The study area is located towards the west end of the Sohagpur coal field, Central India. Five major and three local coal seams or CBM reservoirs are encountered in the study area. The study area covers approximately 150 sq km, and the data for this analysis are derived from eight core holes or exploratory wells. There are 97 available reservoir zones across the eight core holes, yielding 97 data points. Each data point includes recorded four geophysical logs (Depth corrected) - Gamma Ray, Resistivity, Density and Porosity. Gas content measured in the laboratory from the cores collected from the exploratory wells or coreholes are also included in the dataset. Target is to train and test the machine learning model on the log parameters with lab measured gas content so that predictions can be made in the wells where only logs are available.
提供机构:
Mendeley Data
创建时间:
2026-04-23



