Views : 0 下载量: 0 CSCD: 0 CNKI被引量: 0 Scopus: 0 更多指标
  • Export

  • Share

  • Collection

  • Album

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

    • (2026)   

      Received:11 December 2025

      Revised:2026-03-20

      Accepted:24 March 2026

    移动端阅览

  • Prediction of adsorption characteristics of CH4-CO2 system in shale based on machine learning[J/OL]. Petroleum Reservoir Evaluation and Development, 2026. DOI:
  •  
  •  
Alert me when the article has been cited
提交

相关作者

QIN JIAZHENG 西南石油大学油气藏地质及开发工程全国重点实验室
HE ZHIYUE 西南石油大学油气藏地质及开发工程全国重点实验室
TANG YONG 西南石油大学油气藏地质及开发工程全国重点实验室
DUAN SHENGCAI 中国石油塔里木油田分公司哈得采油气管理区
LONG JICHANG 中国石油塔里木油田分公司哈得采油气管理区
TANG KAI 中国石油塔里木油田分公司英买采油气管理区
WANG HAO 中国石油塔里木油田分公司油气工艺研究院
HU SHILAI 重庆科技大学石油与天然气工程学院

相关机构

Chengdu Exploration and Development Research Institute, PetroChina Daqing Oilfield Company Ltd.
School of Petroleum Engineering, Chongqing University of Science and Technology
Oil and Gas Technology Research Institute, PetroChina Tarim Oilfield Company, Korla
Yingmai Oil and Gas Production Management Area, PetroChina Tarim Oilfield Company, Korla
Hade Oil and Gas Production Management Area, PetroChina Tarim Oilfield Company, Korla
0