Characterization of pores and microfractures in tight conglomerate reservoirs

被引:12
|
作者
Wang, Ziqiang [1 ,2 ,3 ]
Ge, Hongkui [1 ]
Zhou, Wei [2 ]
Wei, Yun [2 ]
Wang, Bei [2 ]
Liu, Sai [2 ]
Zhou, Hao [2 ]
Du, Shuheng [4 ,5 ]
机构
[1] China Univ Petr, Beijing 102249, Peoples R China
[2] Xinjiang Oilfield Co, Res Inst Explorat & Dev, Karamay 834000, Peoples R China
[3] Xinjiang Key Lab Shale Oil Explorat & Dev, Karamay 834000, Peoples R China
[4] Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China
[5] Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China
基金
中国国家自然科学基金;
关键词
Mahu sag; Tight conglomerate; Microfracture; Characterization; Machine learning; Pore; JUNGGAR BASIN; MAHU SAG; OIL; ACCUMULATION; TECHNOLOGIES; MIGRATION;
D O I
10.1016/j.ijhydene.2022.06.037
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
This study aimed to carry out the data-driven evaluation of pores and microfractures in tight conglomerate reservoirs combining machine learning and complex geometric analysis, then investigate the internal control factors of reservoir damage.Results show that for the Upper Wuerhe formation of Mahu sag in Xinjiang of China, the average contribution rate of microfractures to fluid storage and seepage is 7.1 times that of pores, and microfractures dominate in fluid storage and seepage. Besides, the average contact probability between microfractures and fluids is 3.0 times that of pores. Compared with microfractures, pores are more conducive to form a homogeneous distribution of seepage flow and expand the sweep efficiency. On the contrary, microfracture is the dominant factor to aggravate the heterogeneity of seepage. The conclusions will provide crucial theoretical support and practical basis for the effective exploitation of tight conglomerate oil.(c) 2022 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:26901 / 26914
页数:14
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