Tight oil accumulation mechanisms of the Lucaogou Formation in the Jimsar Sag, NW China: Insights from pore network modeling and physical experiments

油页岩 岩石学 致密气 磁导率
作者
Ming Zha,Sen Wang,Xiujian Ding,Qihong Feng,Haitao Xue,Yang Su
出处
期刊:Journal of Asian Earth Sciences [Elsevier]
卷期号:178: 204-215 被引量:14
标识
DOI:10.1016/j.jseaes.2018.05.037
摘要

Abstract Pore network modeling and physical experiments were employed to understand the migration and accumulation of tight oil in the Lucaogou Formation of the Jimsar Sag, Junggar Basin, China. The pore structure characteristics of tight rock samples were statistically analyzed, from which some representative network models were constructed. The estimated petrophysical properties of these networks, e.g., porosity, permeability, and pore/throat size distribution, agree well with those obtained from experiments, which justified the effectiveness of our models. The experiments and simulations of oil migration into tight rocks suggest that there are mainly two different types of accumulation patterns, i.e., rapid growth pattern and consistent growth pattern, which are characterized by S-shaped and modified S-shaped correlations of oil saturation and pressure gradient, respectively. Oil accumulation mainly occurs in the middle stage; however, the increment of oil saturation of consistent growth pattern is much slower than that of rapid growth pattern. The water-oil relative permeability curves, which describe the fluid transport capabilities during oil migration, were also computed from simulations. The effects of coordination number, aspect ratio, as well as clay volume were analyzed. Results show that a core sample having better connectivity and more homogeneous pores and throats facilitates the oil migration; however, a higher clay volume impedes oil accumulation and decreases the final oil saturation. This work not only provides a better understanding of tight oil accumulation mechanisms, but also supplies an alternative avenue to study multiphase flow in tight rocks.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
小小细胞发布了新的文献求助10
刚刚
冉冉发布了新的文献求助10
刚刚
本本应助Bazinga采纳,获得30
刚刚
1秒前
1111发布了新的文献求助10
1秒前
NK001完成签到,获得积分10
2秒前
2秒前
小丸子完成签到 ,获得积分10
2秒前
湘江雨完成签到,获得积分10
3秒前
南安完成签到 ,获得积分10
3秒前
娜娜发布了新的文献求助10
3秒前
haning完成签到,获得积分10
4秒前
4秒前
专注珠发布了新的文献求助10
4秒前
诸觅双发布了新的文献求助10
5秒前
Silence完成签到,获得积分10
6秒前
6秒前
阔达的马里奥完成签到 ,获得积分10
7秒前
深情安青应助ECG采纳,获得30
7秒前
DAaaaa发布了新的文献求助10
7秒前
7秒前
科研通AI2S应助科研通管家采纳,获得10
8秒前
cbf发布了新的文献求助10
8秒前
不配.应助科研通管家采纳,获得20
8秒前
Ava应助科研通管家采纳,获得10
8秒前
科研通AI2S应助科研通管家采纳,获得10
8秒前
彭于晏应助科研通管家采纳,获得10
8秒前
不配.应助科研通管家采纳,获得20
9秒前
小蘑菇应助科研通管家采纳,获得10
9秒前
领导范儿应助科研通管家采纳,获得10
9秒前
孙梁子给LT的求助进行了留言
9秒前
9秒前
大模型应助科研通管家采纳,获得10
9秒前
neuarcher应助科研通管家采纳,获得30
9秒前
Singularity应助科研通管家采纳,获得10
9秒前
CodeCraft应助科研通管家采纳,获得10
9秒前
大模型应助科研通管家采纳,获得10
9秒前
CipherSage应助科研通管家采纳,获得10
10秒前
顾矜应助Qing采纳,获得30
10秒前
传奇3应助科研通管家采纳,获得30
10秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Le dégorgement réflexe des Acridiens 800
Defense against predation 800
Very-high-order BVD Schemes Using β-variable THINC Method 568
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3135702
求助须知:如何正确求助?哪些是违规求助? 2786585
关于积分的说明 7778267
捐赠科研通 2442686
什么是DOI,文献DOI怎么找? 1298616
科研通“疑难数据库(出版商)”最低求助积分说明 625205
版权声明 600866