Quantitative Prediction of Natural Fractures in Shale Oil Reservoirs

被引:30
|
作者
Gong, Lei [1 ,2 ]
Gao, Shuai [1 ,2 ]
Liu, Bo [3 ]
Yang, Jianguo [4 ]
Fu, Xiaofei [3 ]
Xiao, Fei [4 ]
Su, Xiaocen [1 ]
Fu, Rongzhi [1 ]
Lu, Qi [1 ]
机构
[1] Northeast Petr Univ, Heilongjiang Oil & Gas Reservoir Forming, Mech & Resource Evaluat Key Lab, Daqing 163318, Peoples R China
[2] Northeast Petr Univ, Bohai Rim Energy Res Inst, Qinhuangdao 066004, Hebei, Peoples R China
[3] Northeast Petr Univ, Inst Unconvent Oil & Gas, Daqing 163318, Peoples R China
[4] Shenyang Ctr China Geol Survey, Shenyang, 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
CENGONG BLOCK; DEVELOPMENTAL CHARACTERISTICS; NIUTITANG FORMATION; DOMINANT FACTORS; MARINE SHALE; BASIN; FIELD; DEPRESSION; OUTCROP; FAULTS;
D O I
10.1155/2021/5571855
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Natural fractures are the key factors controlling the enrichment of shale oil. It is of great significance to clarify the distribution of natural fractures to guide the selection of sweet spots for shale oil. Taking the Qing-1 Member shale oil reservoir in the northern Songliao Basin, China as an example, a new method considering the factors affecting fracture distribution was proposed to quantitatively predict the structural fractures. And the effect of natural fractures on shale oil enrichment was discussed. Firstly, the types and characteristics of fractures in shale oil reservoirs are characterized by using core and outcrop data. Combined with the experimental analysis, the influences of fault, mechanical stratigraphy, mineral composition and content, TOC, and overpressure on fracture intensity were clarified. Then, the number and density of fractures are quantitatively predicted according to the power-law distribution of fault length. Next, geomechanical simulation and fracture prediction were carried out on the model which was established with comprehensive consideration of the influencing factors of fracture distribution. Finally, the fracture distribution is evaluated comprehensively based on above prediction. The prediction results in this work are consistent with the core measurements.
引用
收藏
页数:15
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