Quantitative Prediction of Natural Fractures in Shale Oil Reservoirs

油页岩 地质学 露头 石油工程 超压 断裂(地质) 断层(地质) 岩石学 四川盆地 采矿工程 构造盆地 岩土工程 地球化学 地震学 地貌学 古生物学 物理 热力学
作者
Lei Gong,Shuai Gao,Bo Liu,Jianguo Yang,Xiaofei Fu,Fei Xiao,Xiaocen Su,Rongzhi Fu,Qi Lü
出处
期刊:Geofluids [Hindawi Publishing Corporation]
卷期号:2021: 1-15 被引量:29
标识
DOI:10.1155/2021/5571855
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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刘龙应助科研通管家采纳,获得10
刚刚
刚刚
JamesPei应助zzz采纳,获得10
1秒前
罐罐儿应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
小鲸鱼完成签到,获得积分10
1秒前
1秒前
1秒前
2秒前
2秒前
上官若男应助Jyh采纳,获得10
3秒前
RachelX发布了新的文献求助10
3秒前
领导范儿应助K丶口袋采纳,获得10
4秒前
4秒前
5秒前
霖槿发布了新的文献求助10
6秒前
跳跃发布了新的文献求助10
6秒前
科研通AI6.4应助hyw采纳,获得30
6秒前
6秒前
等待三德发布了新的文献求助10
7秒前
一只派大星完成签到,获得积分10
8秒前
小圆发布了新的文献求助20
8秒前
8秒前
8秒前
大模型应助Eva采纳,获得10
8秒前
nimtewang应助真叫人头大采纳,获得10
9秒前
Lucas应助星之宇痕采纳,获得10
10秒前
怡然的凌兰应助jwj采纳,获得10
11秒前
11秒前
12秒前
苗条一兰完成签到,获得积分10
12秒前
13秒前
Doro完成签到,获得积分10
13秒前
Debra发布了新的文献求助10
13秒前
博修发布了新的文献求助10
14秒前
14秒前
丘比特应助六六采纳,获得10
15秒前
15秒前
陈静发布了新的文献求助20
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7764714
求助须知:如何正确求助?哪些是违规求助? 9308928
关于积分的说明 20308762
捐赠科研通 7349489
什么是DOI,文献DOI怎么找? 3314510
关于科研通互助平台的介绍 2463966
邀请新用户注册赠送积分活动 2328799