Integrated characterization of lamination development probability and interference index in deep shale based on logging-derived rock mechanical parameters
Deep shale reservoirs commonly contain abundant laminations that may hinder vertical hydraulic fracture propagation, whereas their microscale heterogeneity makes engineering-scale characterization difficult. To address this limitation, this study proposes an engineering-oriented characterization framework that combines lamination development probability with a lamination interference Index derived from logging-based geomechanical parameters and further transforms statistical predictions into engineering-scale descriptors through a risk-partitioned post-processing strategy. The framework was evaluated using a multi-well dataset from the Cambrian Qiongzhusi Formation in the Sichuan Basin. Results show that lamination development probability exhibits broad transition intervals rather than a simple binary distribution, while lamination density and thickness both follow pronounced right-skewed, long-tailed distributions, indicating that a limited number of strongly laminated intervals may dominate vertical fracture interference. The proposed framework achieved an overall discriminant consistency of 71.9% and an average lamination interference index prediction error of 27.9%, demonstrating stable cross-well prediction capability. Statistical response analysis further indicates relatively stable relationships between laminated heterogeneity and multiple rock mechanical parameters. The proposed framework establishes a quantitative linkage between microscale lamination characterization and engineering-scale hydraulic fracturing analysis, providing a practical basis for laminated heterogeneity evaluation, target interval selection, and hydraulic fracturing optimization.
Authors
- Sirui Peng (ORCID: https://orcid.org/0009-0002-6891-1751)
- Bo Zhou (ORCID: https://orcid.org/0000-0001-6336-4651)
- Ran Lin (ORCID: https://orcid.org/0000-0002-6394-8208)
- Lan Ren (ORCID: https://orcid.org/0000-0001-5827-4774)
- Yi Fang
- Jinzhou Zhao
- Cheng Shen
- Jianfa Wu
- Yi Song
Institutions
- Southwest Petroleum University (CN)
- State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation (CN)
- PetroChina Southwest Oil and Gas Field Company (China) (CN)
Publication Details
- Journal
- Petroleum Science and Technology
- Published
- 2026-11-08
- DOI
- https://doi.org/10.1080/10916466.2026.2754365
- Primary Topic
- Hydraulic Fracturing and Reservoir Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Science and Technology Major Project