Prediction of adsorption characteristics of CH<sub>4</sub>-CO<sub>2</sub> system in shale based on machine learning

LIU SHUYANG; HUANG HONGLUE; WANG JIANGLONG; LIU JUNRONG; MENG SIWEI

doi:10.13809/j.cnki.cn32-1825/te.20250080

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Prediction of adsorption characteristics of CH₄-CO₂ system in shale based on machine learning

Oil and Gas Development | 更新时间：2026-06-12

- Prediction of adsorption characteristics of CH₄-CO₂ system in shale based on machine learning
- Petroleum Reservoir Evaluation and Development Vol. 16, Issue 4, Pages: 855-864(2026)
- 作者机构：
  
  1.中国石油大学（华东）石油工程学院，山东青岛 266580
  2.深层油气全国重点实验室（中国石油大学（华东）），山东青岛 266580
  3.中国石油勘探开发研究院，北京 100083
  4.多资源协同陆相页岩油绿色开采全国重点实验室，黑龙江大庆 163412
- 作者简介：
- 基金信息：
- DOI：10.13809/j.cnki.cn32-1825/te.20250080
  CLC： TE311
- Received：11 December 2025，
  
  Published：26 July 2026
- 稿件说明：
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刘树阳, 黄洪略, 王江龙, 等. 基于机器学习的页岩内CH₄-CO₂体系吸附特性预测[J]. 油气藏评价与开发, 2026, 16(4): 855-864. DOI: 10.13809/j.cnki.cn32-1825/te.20250080.

LIU Shuyang, HUANG Honglue, WANG Jianglong, et al. Prediction of adsorption characteristics of CH₄-CO₂ system in shale based on machine learning[J]. Petroleum Reservoir Evaluation and Development, 2026, 16(4): 855-864. DOI: 10.13809/j.cnki.cn32-1825/te.20250080.
刘树阳, 黄洪略, 王江龙, 等. 基于机器学习的页岩内CH₄-CO₂体系吸附特性预测[J]. 油气藏评价与开发, 2026, 16(4): 855-864. DOI: 10.13809/j.cnki.cn32-1825/te.20250080. DOI：

LIU Shuyang, HUANG Honglue, WANG Jianglong, et al. Prediction of adsorption characteristics of CH₄-CO₂ system in shale based on machine learning[J]. Petroleum Reservoir Evaluation and Development, 2026, 16(4): 855-864. DOI: 10.13809/j.cnki.cn32-1825/te.20250080. DOI：

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Prediction of adsorption characteristics of CH4-CO2 system in shale based on machine learning

DOI：10.13809/j.cnki.cn32-1825/te.20250080

Prediction of adsorption characteristics of CH₄-CO₂ system in shale based on machine learning