Data-Driven Approach for the Prediction of In Situ Gas Content of Deep Coalbed Methane Reservoirs Using Machine Learning: Insights from Well Logging Data
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Chemical Society
2025-01-01
|
| Series: | ACS Omega |
| Online Access: | https://doi.org/10.1021/acsomega.4c08679 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832583637892071424 |
|---|---|
| author | Qian Zhang Shuheng Tang Songhang Zhang Zhaodong Xi Tengfei Jia Xiongxiong Yang Donglin Lin Wenfu Yang |
| author_facet | Qian Zhang Shuheng Tang Songhang Zhang Zhaodong Xi Tengfei Jia Xiongxiong Yang Donglin Lin Wenfu Yang |
| author_sort | Qian Zhang |
| collection | DOAJ |
| format | Article |
| id | doaj-art-1a95bc9e9caa4eba912000f6f4a1b58e |
| institution | Kabale University |
| issn | 2470-1343 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | American Chemical Society |
| record_format | Article |
| series | ACS Omega |
| spelling | doaj-art-1a95bc9e9caa4eba912000f6f4a1b58e2025-01-28T09:05:02ZengAmerican Chemical SocietyACS Omega2470-13432025-01-011032871288610.1021/acsomega.4c08679Data-Driven Approach for the Prediction of In Situ Gas Content of Deep Coalbed Methane Reservoirs Using Machine Learning: Insights from Well Logging DataQian Zhang0Shuheng Tang1Songhang Zhang2Zhaodong Xi3Tengfei Jia4Xiongxiong Yang5Donglin Lin6Wenfu Yang7School of Energy Resources, China University of Geosciences (Beijing), Beijing, PR ChinaSchool of Energy Resources, China University of Geosciences (Beijing), Beijing, PR ChinaSchool of Energy Resources, China University of Geosciences (Beijing), Beijing, PR ChinaSchool of Energy Resources, China University of Geosciences (Beijing), Beijing, PR ChinaSchool of Energy Resources, China University of Geosciences (Beijing), Beijing, PR ChinaSchool of Energy Resources, China University of Geosciences (Beijing), Beijing, PR ChinaSchool of Energy Resources, China University of Geosciences (Beijing), Beijing, PR ChinaShanxi Coal Geology Investigation and Research Institute CO.LTD, Taiyuan, PR Chinahttps://doi.org/10.1021/acsomega.4c08679 |
| spellingShingle | Qian Zhang Shuheng Tang Songhang Zhang Zhaodong Xi Tengfei Jia Xiongxiong Yang Donglin Lin Wenfu Yang Data-Driven Approach for the Prediction of In Situ Gas Content of Deep Coalbed Methane Reservoirs Using Machine Learning: Insights from Well Logging Data ACS Omega |
| title | Data-Driven Approach for the Prediction of In Situ Gas Content of Deep Coalbed Methane Reservoirs Using Machine Learning: Insights from Well Logging Data |
| title_full | Data-Driven Approach for the Prediction of In Situ Gas Content of Deep Coalbed Methane Reservoirs Using Machine Learning: Insights from Well Logging Data |
| title_fullStr | Data-Driven Approach for the Prediction of In Situ Gas Content of Deep Coalbed Methane Reservoirs Using Machine Learning: Insights from Well Logging Data |
| title_full_unstemmed | Data-Driven Approach for the Prediction of In Situ Gas Content of Deep Coalbed Methane Reservoirs Using Machine Learning: Insights from Well Logging Data |
| title_short | Data-Driven Approach for the Prediction of In Situ Gas Content of Deep Coalbed Methane Reservoirs Using Machine Learning: Insights from Well Logging Data |
| title_sort | data driven approach for the prediction of in situ gas content of deep coalbed methane reservoirs using machine learning insights from well logging data |
| url | https://doi.org/10.1021/acsomega.4c08679 |
| work_keys_str_mv | AT qianzhang datadrivenapproachforthepredictionofinsitugascontentofdeepcoalbedmethanereservoirsusingmachinelearninginsightsfromwellloggingdata AT shuhengtang datadrivenapproachforthepredictionofinsitugascontentofdeepcoalbedmethanereservoirsusingmachinelearninginsightsfromwellloggingdata AT songhangzhang datadrivenapproachforthepredictionofinsitugascontentofdeepcoalbedmethanereservoirsusingmachinelearninginsightsfromwellloggingdata AT zhaodongxi datadrivenapproachforthepredictionofinsitugascontentofdeepcoalbedmethanereservoirsusingmachinelearninginsightsfromwellloggingdata AT tengfeijia datadrivenapproachforthepredictionofinsitugascontentofdeepcoalbedmethanereservoirsusingmachinelearninginsightsfromwellloggingdata AT xiongxiongyang datadrivenapproachforthepredictionofinsitugascontentofdeepcoalbedmethanereservoirsusingmachinelearninginsightsfromwellloggingdata AT donglinlin datadrivenapproachforthepredictionofinsitugascontentofdeepcoalbedmethanereservoirsusingmachinelearninginsightsfromwellloggingdata AT wenfuyang datadrivenapproachforthepredictionofinsitugascontentofdeepcoalbedmethanereservoirsusingmachinelearninginsightsfromwellloggingdata |