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Integration of Conventional Core Measurement, Geophysical Log Data and Machine Learning Algorithms for Gas Content Prediction in Coal Bed Methane (CBM) Reservoirs in Central India Basin

https://doi.org/10.2139/ssrn.6669666
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Pull-apart origin of the Satpura Gondwana basin, central India
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Stratigraphy of the Upper Gondwana Formations around Sohagpur, Western Part of the Satpura Gondwana Basin, Central India
inferredcites →https://doi.org/10.1007/s13369-015-1685-yopenalex-snapshot
Total Organic Carbon Prediction in Shale Gas Reservoirs from Well Logs Data Using the Multilayer Perceptron Neural Network with Levenberg Marquardt Training Algorithm: Application to Barnett Shale
inferredcites →https://doi.org/10.1007/s41060-025-00957-yopenalex-snapshot
Lasso and Ridge regression: a comprehensive review of applications and developments in machine learning
inferredcites →https://doi.org/10.1016/0148-9062(70)90027-6openalex-snapshot
Determination of desorbable gas concentration of coal (direct method)
inferredcites →https://doi.org/10.1016/0166-5162(87)90045-0openalex-snapshot
Petrographic, chemical and trace-elemental composition of the coal of Sohagpur coalfield, Madhya Pradesh, India
inferredcites →https://doi.org/10.1016/b978-0-323-85937-0.00005-4openalex-snapshot
Worldwide coalbed gas development: Revisited
inferredcites →https://doi.org/10.1016/j.chemosphere.2020.127279openalex-snapshot
Adsorption isotherm models: Classification, physical meaning, application and solving method
inferredcites →https://doi.org/10.1016/j.coal.2006.04.010openalex-snapshot
Coal petrology and coal seam gas contents of the Walloon Subgroup — Surat Basin, Queensland, Australia
inferredcites →https://doi.org/10.1016/j.jnggs.2025.09.002openalex-snapshot
Sweet spots in coal bed methane (CBM): Major controlling parameters identification through reservoir modeling, simulation, and uncertainty analysis to De-risk field development
inferredcites →https://doi.org/10.1016/j.jngse.2021.103969openalex-snapshot
Evaluating production behaviour of CBM wells from Raniganj Coalfield through reservoir characterization under constrained field data conditions
inferredcites →https://doi.org/10.1016/j.proeng.2011.11.2338openalex-snapshot
Study on the Gas Content of Coal Seam Based on the BP Neural Network
inferredcites →https://doi.org/10.1016/s0166-5162(97)00040-2openalex-snapshot
Measuring the gas content of coal: A review
inferredcites →https://doi.org/10.1016/s0166-5162(97)00041-4openalex-snapshot
Methodology of coalbed methane resource assessment
inferredcites →https://doi.org/10.1016/s0166-5162(98)00030-5openalex-snapshot
Geological controls on coalbed methane reservoir capacity and gas content
inferredcites →https://doi.org/10.1021/acsomega.4c04305openalex-snapshot
Optimized Random Forest Method for 3D Evaluation of Coalbed Methane Content Using Geophysical Logging Data
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1080/10916466.2023.2232822openalex-snapshot
An approach of using machine learning classification for screening of enhanced oil recovery techniques
inferredcites →https://doi.org/10.1130/0091-7613(1990)018<0533:pcosro>2.3.co;2openalex-snapshot
Paleoclimate controls on stratigraphic repetition of chemical and siliciclastic rocks
inferredcites →https://doi.org/10.1177/01445987241269546openalex-snapshot
Discussion on the production mechanism of deep coalbed methane in the eastern margin of the Ordos Basin
inferredcites →https://doi.org/10.1190/int-2019-0126.1openalex-snapshot
Coalbed methane content prediction using deep belief network
inferredcites →https://doi.org/10.2118/14479-paopenalex-snapshot
Reservoir Engineering in Coal Seams: Part 2—Observations of Gas Movement in Coal Seams
inferredcites →https://doi.org/10.3390/pr11020527openalex-snapshot
CBM Gas Content Prediction Model Based on the Ensemble Tree Algorithm with Bayesian Hyper-Parameter Optimization Method: A Case Study of Zhengzhuang Block, Southern Qinshui Basin, North China
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