Characterizing strength and location of continental oil shale with drilling process monitoring in Southern Ordos Basin, China
The increasing demand for unconventional oil and gas resources, especially oil shale, has highlighted the urgent need to develop rapid and accurate strata characterization methods. This paper is the first case and examines the drilling process monitoring (DPM) method as a digital, accurate, cost-effective method to characterize oil shale reservoirs in the Ordos Basin, China. The digital DPM method provides real-time in situ testing of the relative variation in rock mechanical strength along the drill bit depth. Furthermore, it can give a refined rock quality designation based on the DPM zoning result ( R Q D ( V DPM ) ) and a strength-grade characterization at the site. Oil shale has high heterogeneity and low strata strength. The digital results are further compared and verified with manual logging, cored samples, and digital panoramic borehole cameras. The findings highlight the innovative potential of the DPM method in identifying the zones of oil shale reservoir along the drill bit depth. The digital results provide a better understanding of the oil shale in Tongchuan and the potential for future oil shale exploration in other regions.
Authors
- Xiao Li (ORCID: https://orcid.org/0000-0002-3577-7915)
- Siyuan Wu (ORCID: https://orcid.org/0000-0001-6846-1952)
- Zhongqi Yue
- Lihui Li (ORCID: https://orcid.org/0000-0002-2229-9221)
Institutions
- Chinese Academy of Sciences (CN)
- Harbin Institute of Technology (CN)
- Institute of Geology and Geophysics (CN)
- University of Chinese Academy of Sciences (CN)
- University of Hong Kong (HK)
Publication Details
- Journal
- Journal of Rock Mechanics and Geotechnical Engineering
- Published
- 2024-11-26
- DOI
- https://doi.org/10.1016/j.jrmge.2024.10.015
- Citations
- 4
- Primary Topic
- Hydrocarbon exploration and reservoir analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.08
Funders
- National Natural Science Foundation of China
- Chinese Academy of Sciences
- Research Grants Council, University Grants Committee
- University of Hong Kong