Visualization of Shale Oil Occurrence Characteristics and Analysis of Main Controlling Factors Within Microdomains: Insights from Raman Mapping Combined with AFM

It is of great significance to visually investigate the occurrence characteristics and controlled factors of shale oil within microdomains to determine its migration and production. However, a significant gap exists in visually investigating the intricate interplay between shale oil, mineral composition and pore structure, which has hindered shale oil production. To address this gap, this study used Raman mapping to intuitively analyze the occurrence characteristics of shale oil and applied Raman mapping combined with atomic force microscopy (AFM) to investigate the interrelationship between shale oil occurrence characteristics, mineral compositions and pore structure of the Permian Fengcheng Formation in the Mahu Sag of the Junggar Basin. The results show that the occurrence of shale oil can be divided into four types. More specifically, microdomains with high total organic carbon (TOC) content and developed pores are most favorable for shale oil occurrence, whereas microdomains with high TOC content and migration pathways are relatively unfavorable. Microdomains with high TOC content and undeveloped pores are unfavorable for shale oil occurrence, whereas microdomains with low TOC content and undeveloped pores are the most unfavorable. The shale oil content was positively correlated with the carbonate, feldspar, pyrite, and reedmergnerite contents. Conversely, the shale oil content was negatively correlated with the quartz content. Furthermore, the AFM phase peaks at the interiors of the elliptical- and slit-shaped pores positively shifted by 11.1% and 54.4% more than at the interface, respectively. The interiors of slit- and elliptical-shaped pores always showed a higher shale oil Raman signal than the exteriors of these pores, both of which indicate that these two types of pores are favorable for shale oil occurrence. These findings improve our understanding of the key factors influencing the oil-bearing properties and occurrence characteristics of shale oil within microdomains and provide a new analytical perspective for the effective exploitation of shale oil.

Authors

Institutions

Publication Details

Journal
Energy & Fuels
Published
2024-11-19
DOI
https://doi.org/10.1021/acs.energyfuels.4c04094
Citations
1
Primary Topic
Hydrocarbon exploration and reservoir analysis
Type
article
Field-Weighted Citation Impact
0.27
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Visualization of Shale Oil Occurrence Characteristics and Analysis of Main Controlling Factors Within Microdomains: Insights from Raman Mapping Combined with AFM

Zhenxue Jiang, Guowei Zheng, Zhiye Gao, Weihang Wei et al.
1 citations
Energy & Fuels
Hydrocarbon exploration and reservoir analysis
0.27
article

Visualization of Shale Oil Occurrence Characteristics and Analysis of Main Controlling Factors Within Microdomains: Insights from Raman Mapping Combined with AFM

Zhenxue Jiang, Guowei Zheng, Zhiye Gao, Weihang Wei, Lixun Bai, Zhaochen Liu, Lidan Jia, Lulu Zhang, Zibo Li, Adou Yang, Zhi Yang, Haotian Xin, Guoming Ma
article en
1 citations

Abstract

It is of great significance to visually investigate the occurrence characteristics and controlled factors of shale oil within microdomains to determine its migration and production. However, a significant gap exists in visually investigating the intricate interplay between shale oil, mineral composition and pore structure, which has hindered shale oil production. To address this gap, this study used Raman mapping to intuitively analyze the occurrence characteristics of shale oil and applied Raman mapping combined with atomic force microscopy (AFM) to investigate the interrelationship between shale oil occurrence characteristics, mineral compositions and pore structure of the Permian Fengcheng Formation in the Mahu Sag of the Junggar Basin. The results show that the occurrence of shale oil can be divided into four types. More specifically, microdomains with high total organic carbon (TOC) content and developed pores are most favorable for shale oil occurrence, whereas microdomains with high TOC content and migration pathways are relatively unfavorable. Microdomains with high TOC content and undeveloped pores are unfavorable for shale oil occurrence, whereas microdomains with low TOC content and undeveloped pores are the most unfavorable. The shale oil content was positively correlated with the carbonate, feldspar, pyrite, and reedmergnerite contents. Conversely, the shale oil content was negatively correlated with the quartz content. Furthermore, the AFM phase peaks at the interiors of the elliptical- and slit-shaped pores positively shifted by 11.1% and 54.4% more than at the interface, respectively. The interiors of slit- and elliptical-shaped pores always showed a higher shale oil Raman signal than the exteriors of these pores, both of which indicate that these two types of pores are favorable for shale oil occurrence. These findings improve our understanding of the key factors influencing the oil-bearing properties and occurrence characteristics of shale oil within microdomains and provide a new analytical perspective for the effective exploitation of shale oil.

Energy & FuelsVol. 38(23)
American Petroleum Institute (US), Chinese Academy of Sciences (CN), China University of Petroleum, Beijing (CN), Nanjing Institute of Geology and Paleontology (CN), Research Institute of Petroleum Exploration and Development (CN), Shaanxi Research Design Institute of Petroleum and Chemical Industry (CN)
Openalex Percentile: Top 48%
Hydrocarbon exploration and reservoir analysis
0.27
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.