EconPapers    
Economics at your fingertips  
 

A New Evaluation Method of Shale Oil Sweet Spots in Chinese Lacustrine Basin and Its Application

Xiaodong Li, Ketong Chen, Peng Li, Junqian Li, Haiyan Geng, Bin Li, Xiwei Li, Haiyan Wang, Liyuan Zang, Yongbo Wei and Rixin Zhao
Additional contact information
Xiaodong Li: Research Institute of Exploration and Development, PetroChina Huabei Oilfield Company, Renqiu 062552, China
Ketong Chen: Research Institute of Exploration and Development, PetroChina Huabei Oilfield Company, Renqiu 062552, China
Peng Li: Research Institute of Exploration and Development, PetroChina Huabei Oilfield Company, Renqiu 062552, China
Junqian Li: School of Geosciences, China University of Petroleum (East China), Qingdao 266580, China
Haiyan Geng: Research Institute of Exploration and Development, PetroChina Huabei Oilfield Company, Renqiu 062552, China
Bin Li: Research Institute of Exploration and Development, PetroChina Huabei Oilfield Company, Renqiu 062552, China
Xiwei Li: Research Institute of Exploration and Development, PetroChina Huabei Oilfield Company, Renqiu 062552, China
Haiyan Wang: Research Institute of Exploration and Development, PetroChina Huabei Oilfield Company, Renqiu 062552, China
Liyuan Zang: Research Institute of Exploration and Development, PetroChina Huabei Oilfield Company, Renqiu 062552, China
Yongbo Wei: School of Geosciences, China University of Petroleum (East China), Qingdao 266580, China
Rixin Zhao: School of Geosciences, China University of Petroleum (East China), Qingdao 266580, China

Energies, 2021, vol. 14, issue 17, 1-15

Abstract: Compared with the marine shale from North America, Chinese lacustrine basins have more complex geological and reservoir conditions, which makes the selection of sweet spot intervals in the shale oil reservoir particularly difficult. It is thus crucial to accurately predict the shale oil sweet spots for effective exploration and development of shale oil in a lacustrine basin. In this paper, we propose an innovative evaluation method of shale oil sweet spots, which considers five primary parameters (i.e., total oil content, movable oil ratio, reservoir pressure coefficient, permeability, and rock brittleness index) to construct a comprehensive weighting factor, which is used to quantitatively identify a favorable shale oil reservoir. This method firstly constructs an evaluation function for each of the parameters, and then calculates a comprehensive weighting factor to determine the shale oil sweet spot. Statistical results show that the oil production of formation testing intervals have a good positive correlation with the average value of the comprehensive weighting factor of the intervals, which verifies the feasibility of the method. Based on this method, one of the key exploratory wells, Qiang21 in the Raoyang Sag of Bohai Bay basin, was selected as a case study and was determined to be a sweet spot interval of the shale oil reservoir in the upper third member of the Shahejie Formation. This study provides a new way to obtain a favorable exploration interval of shale oil reservoirs and serves shale oil development.

Keywords: shale oil; sweet spot; quantitative evaluation method; comprehensive weighting factor; lacustrine basin (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/17/5519/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/17/5519/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:17:p:5519-:d:628796

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5519-:d:628796