Comprehensive polynomial simulation and prediction for Langmuir volume and Langmuir pressure of shale gas adsorption using multiple factors |
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| Institution: | 1. State Key Laboratory of Petroleum Resources and Engineering, Beijing 102249, China;2. Wuxi Research Institute of Petroleum Geology, Sinopec Petroleum Exploration & Production Research Institute, Wuxi 214151, China;3. Unconventional Natural Gas Institute, China University of Petroleum, Beijing 102249, China;4. Geology Scientific Research Institute of Shengli Oilfield Company, Sinopec, Dongying 257015, China;1. National Energy Technology Laboratory, Morgantown, WV, USA;2. Hubei Subsurface Multi-scale Imaging Key Laboratory, Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, PR China;1. State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, PR China;2. University of Chinese Academy of Sciences, Beijing, 100049, PR China;3. Geology and Geophysics Program, Missouri University of Sciences and Technology, Rolla, MO 65409, USA;4. State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology (Beijing), Beijing 100083, PR China;5. College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, PR China;1. Department of Chemical and Petroleum Engineering, University of Calgary, Calgary, Alberta T2N 1N4, Canada;2. School of Petroleum Engineering, China University of Petroleum-Beijing, Beijing 102249, China;1. Sinopec Petroleum Exploration and Production Research Institute, Beijing, 100083, China;2. College of Geosciences, China University of Petroleum, Beijing, 102249, China;3. The Unconventional Natural Gas Institute, China University of Petroleum, Beijing, 102249, China;4. Bohai Oilfield Institute, Tianjin Branch of CNOOC Ltd., Tianjin, 300452, China |
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| Abstract: | In this study, 32 experimental measurements on the isothermal adsorption of methane for 18 shale samples from China's three largest continental oil basins—Songliao, Bohai Bay, and Ordos basins—were used to construct comprehensive polynomial simulation and prediction models for Langmuir volume and Langmuir pressure. The models were based on shale properties (total organic carbon (TOC) content, amount of residual hydrocarbon S1, and mineral composition of rocks) and adsorption condition (temperature) using a weighted sum of multiple variables. The influences of various factors were quantitatively characterized, and the prediction accuracy was verified. Langmuir volume is mainly affected by temperature, shale TOC content, amount of residual hydrocarbon, and clay mineral content; Langmuir pressure is mainly affected by clay, carbonate, feldspar and illite content (because shale pore size can be affected by shale mineral composition). Based on the resource potential and the producibility of shale gas, the area suitable for shale gas exploration and development should have high abundance of organic matter (TOC and residual hydrocarbon S1), low clay mineral content and feldspar content, high conversion rate of montmorillonite to illite (strong diagenesis), and high carbonate content. The comprehensive polynomial prediction model can effectively simulate and predict Langmuir volume and Langmuir pressure, thereby reducing the amount of work necessary for evaluation of shale gas resource potential and economic feasibility. |
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| Keywords: | Shale gas Langmuir volume Langmuir pressure Polynomial simulation Total organic carbon Residual hydrocarbon Mineral composition |
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