Prediction model and evolution patterns of multiphase methane content in deep coal reservoirs

Deep coalbed methane reservoirs contain substantial gas resources, but the depth-dependent evolution of adsorbed, free, and water-soluble methane remains insufficiently quantified. This study developed a multiphase methane content prediction model by integrating a multi-factor Langmuir adsorption model, free-gas formulation, and a methane solubility model considering pressure, temperature, and formation-water salinity. Geological and experimental data from deep coalbed methane wells in the eastern Ordos Basin were used for model construction, validation, and sensitivity analysis. Model validation using 43 measured gas content samples showed good agreement between predicted and measured values, with MAE, RMSE, MAPE, and R2 values of 1.084 m3/t, 2.044 m3/t, 6.84%, and 0.876, respectively. The results indicate that adsorbed gas reaches its principal peak at approximately 1,700–2,200 m, whereas total gas content reaches its main enrichment zone at approximately 2,800–3,000 m. Free gas contribution increases progressively with burial depth but does not universally replace adsorbed gas. Water saturation mainly reduces total gas content by compressing free-gas storage space, whereas coal rank enhances methane enrichment through increased adsorption capacity. This work provides a practical multiphase framework for evaluating deep coalbed methane enrichment.

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Publication Details

Journal
Petroleum Science and Technology
Published
2026-11-08
DOI
https://doi.org/10.1080/10916466.2026.2753791
Primary Topic
Coal Properties and Utilization
Type
article
Field-Weighted Citation Impact
0.00

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Prediction model and evolution patterns of multiphase methane content in deep coal reservoirs

Wenting Zeng, Anna Dai, Zhiming Wang
4 links
Petroleum Science and Technology
Coal Properties and Utilization
article

Prediction model and evolution patterns of multiphase methane content in deep coal reservoirs

Wenting Zeng, Anna Dai, Zhiming Wang
article en

Abstract

Deep coalbed methane reservoirs contain substantial gas resources, but the depth-dependent evolution of adsorbed, free, and water-soluble methane remains insufficiently quantified. This study developed a multiphase methane content prediction model by integrating a multi-factor Langmuir adsorption model, free-gas formulation, and a methane solubility model considering pressure, temperature, and formation-water salinity. Geological and experimental data from deep coalbed methane wells in the eastern Ordos Basin were used for model construction, validation, and sensitivity analysis. Model validation using 43 measured gas content samples showed good agreement between predicted and measured values, with MAE, RMSE, MAPE, and R2 values of 1.084 m3/t, 2.044 m3/t, 6.84%, and 0.876, respectively. The results indicate that adsorbed gas reaches its principal peak at approximately 1,700–2,200 m, whereas total gas content reaches its main enrichment zone at approximately 2,800–3,000 m. Free gas contribution increases progressively with burial depth but does not universally replace adsorbed gas. Water saturation mainly reduces total gas content by compressing free-gas storage space, whereas coal rank enhances methane enrichment through increased adsorption capacity. This work provides a practical multiphase framework for evaluating deep coalbed methane enrichment.

Petroleum Science and Technology
China University of Petroleum, Beijing (CN)
National Natural Science Foundation of China, National Science and Technology Major Project
Affordable and clean energy, Climate action
Coal Properties and Utilization
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