Movable oil content evaluation of lacustrine organic-rich shales: Methods and a novel quantitative evaluation model

被引:157
|
作者
Hu, Tao [1 ,2 ]
Pang, Xiongqi [1 ,2 ]
Jiang, Fujie [1 ,2 ]
Wang, Qifeng [3 ]
Liu, Xiaohan [1 ,2 ]
Wang, Ze [1 ,2 ]
Jiang, Shu [4 ]
Wu, Guanyun [1 ,2 ]
Li, Caijun [1 ,2 ]
Xu, Tianwu [5 ]
Li, Maowen [6 ]
Yu, Jiwang [1 ,2 ]
Zhang, Chenxi [1 ,2 ]
机构
[1] State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R China
[2] China Univ Petr, Coll Geosci, Beijing 102249, Peoples R China
[3] PetroChina, Res Inst Petr Explorat & Dev, Beijing 100083, Peoples R China
[4] Univ Utah, Energy & Geosci Inst, Salt Lake City, UT 84108 USA
[5] SINOPEC, Zhongyuan Oilfield Co, Res Inst Explorat & Dev, Puyang 457001, Peoples R China
[6] Sinopec Petr Explorat & Prod Res Inst, State Key Lab Shale Oil & Shale Gas Resources & E, Beijing 100083, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Movable oil content; Lacustrine organic-rich shale; Controlling factors; Quantitative estimation model; Shahejie Formation; Dongpu Depression; Bohai Bay Basin; BOHAI BAY BASIN; SIMPLE KINETIC-MODELS; SOURCE-ROCK; DONGPU DEPRESSION; CLAY-MINERALS; SURFACE-AREA; GEOLOGICAL CHARACTERISTICS; HYDROCARBON GENERATION; ARGILLACEOUS DOLOMITE; MOLECULAR SIMULATION;
D O I
10.1016/j.earscirev.2021.103545
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Lacustrine shale oil resources are abundant and play important roles in maintaining a sustainable economy. The uncertainty in the movable oil content of organic-rich shales with strong heterogeneity is the greatest risk in their exploration. Various methods exist for movable oil content evaluation, but they present many challenges, especially insufficient accuracy, complicated test procedures, high costs, and limited application. In this study, an extensive review of the theories, techniques, and methods of movable oil content evaluation and their merits and demerits for lacustrine shales were conducted. Then, taking the lacustrine shale of the Paleogene Shahejie Formation (50.5-33 Ma) of the Dongpu Depression, Bohai Bay Basin, as an example, the multi-step Rock-Eval pyrolysis method combined with light hydrocarbon calibration was utilized to evaluate the movable oil content Subsequently, key factors controlling movable oil content were investigated, including organic matter richness, type, and thermal maturity, quartz content, clay mineral content, pore volume, and specific surface area. Both the systematic cluster analysis results and regression standardization coefficients indicate that the total organic carbon content, pore volume, and specific surface area are the main controls on movable oil content. Finally, a quantitative estimation model for movable oil content was established and validated using a statistical product and service solutions modeling. This study improves the understanding of shale oil enrichment laws and provides a novel and practical quantitative model for movable oil content estimation in lacustrine organic-rich shales across the world.
引用
收藏
页数:26
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