Acta Geochimica2024，Vol.43Issue(5)：P.971-984,14.DOI:10.1007/s11631-024-00680-8
Machine learning prediction of methane,ethane,and propane solubility in pure water and electrolyte solutions:Implications for stray gas migration modeling
Ghazal Kooti 1Reza Taherdangkoo 2Chaofan Chen 2Nikita Sergeev 3Faramarz Doulati Ardejani 4Tao Meng 5Christoph Butscher2
作者信息
- 1. Institute of Geotechnics,TU Bergakademie Freiberg,Gustav-Zeuner-Str.1,09599 Freiberg,Germany Department of Petroleum Engineering,Amirkabir University of Technology,Tehran,Iran
- 2. Institute of Geotechnics,TU Bergakademie Freiberg,Gustav-Zeuner-Str.1,09599 Freiberg,Germany Freiberg Center for Water Research ZeWaF,TU Bergakademie Freiberg,09599 Freiberg,Germany
- 3. Institute of Geotechnics,TU Bergakademie Freiberg,Gustav-Zeuner-Str.1,09599 Freiberg,Germany
- 4. School of Mining,College of Engineering,University of Tehran,Tehran,Iran
- 5. Taiyuan University of Science and Technology,Taiyuan 030024,China
- 折叠
摘要
关键词
Gas solubility/Hydraulic fracturing/Thermodynamic models/Regression tree/Boosted regression tree/Groundwater contamination分类
信息技术与安全科学引用本文复制引用
Ghazal Kooti,Reza Taherdangkoo,Chaofan Chen,Nikita Sergeev,Faramarz Doulati Ardejani,Tao Meng,Christoph Butscher..Machine learning prediction of methane,ethane,and propane solubility in pure water and electrolyte solutions:Implications for stray gas migration modeling[J].Acta Geochimica,2024,43(5):P.971-984,14.
