Study on Evaluation of the Virtual Saturated Vapor Pressure Model and Prediction of Adsorbed Gas Content in Deep Coalbed Methane DOI Open Access

Wenchun Peng,

Tengfei Jia,

Songhang Zhang

et al.

Processes, Journal Year: 2024, Volume and Issue: 12(9), P. 1837 - 1837

Published: Aug. 29, 2024

Accurately predicting the adsorbed gas content in coal reservoirs is crucial for evaluating deep seams. However, due to significant variations temperature and pressure conditions across different reservoirs, accurately assessing quantity presents challenges. Based on adsorption potential theory, this paper proposes a prediction model of that applicable under various conditions. The results indicate influenced by combination temperature, pressure, rank. increase rank enhances inhibitory effect methane adsorption. Meanwhile, there are differences obtained from virtual saturated vapor models. Among them, Amankwah theoretically satisfies uniqueness characteristic curve, with optimal k values samples ranging between 2 9. In terms gas, performance models ranked as follows: > Antonie Astakhov Dubinin Reid model. exhibits smallest average relative error root mean square error. addition, burial depth increases, influence decreases, while significance critical located around 1600 m. At depths shallower than depth, tends preferentially accumulate form which generally have lower commercial value. deeper free has reservoirs. stage, dominated start transitioning those containing gas. These findings expected deepen understanding coalbed provide scientific basis exploration development study area.

Language: Английский

Study on Evaluation of the Virtual Saturated Vapor Pressure Model and Prediction of Adsorbed Gas Content in Deep Coalbed Methane DOI Open Access

Wenchun Peng,

Tengfei Jia,

Songhang Zhang

et al.

Processes, Journal Year: 2024, Volume and Issue: 12(9), P. 1837 - 1837

Published: Aug. 29, 2024

Accurately predicting the adsorbed gas content in coal reservoirs is crucial for evaluating deep seams. However, due to significant variations temperature and pressure conditions across different reservoirs, accurately assessing quantity presents challenges. Based on adsorption potential theory, this paper proposes a prediction model of that applicable under various conditions. The results indicate influenced by combination temperature, pressure, rank. increase rank enhances inhibitory effect methane adsorption. Meanwhile, there are differences obtained from virtual saturated vapor models. Among them, Amankwah theoretically satisfies uniqueness characteristic curve, with optimal k values samples ranging between 2 9. In terms gas, performance models ranked as follows: > Antonie Astakhov Dubinin Reid model. exhibits smallest average relative error root mean square error. addition, burial depth increases, influence decreases, while significance critical located around 1600 m. At depths shallower than depth, tends preferentially accumulate form which generally have lower commercial value. deeper free has reservoirs. stage, dominated start transitioning those containing gas. These findings expected deepen understanding coalbed provide scientific basis exploration development study area.

Language: Английский

Citations

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