CO₂-Enhanced Gas Recovery in a Tight Gas Reservoir Using History-Matched Effective Fractures and Automated Regional Gas Inventory Analysis
Reliable assessment of CO₂-enhanced gas recovery (CO₂-EGR) in developed tight gas reservoirs requires production-constrained fracture characterization and quantitative estimates of remaining gas. This study integrates boundary element fracture modeling, automated history matching with the embedded discrete fracture model (EDFM), and polygon-based regional gas accounting for a 14-well Sulige reservoir. Simulated wetted fractures provide geometric constraints for history matching against bottomhole-pressure observations under prescribed gas-production rates. The best-matching realization yields effective-to-wetted fracture half-length ratios of 57–75% and height ratios of 54–70%, with a fracture conductivity of approximately 10 mD·m. Automated inventory analysis identifies 2.81 × 10⁸ m³ of gas remaining in a candidate injection area after 20 years of depletion, equivalent to approximately 57% of its initial inventory of 4.91 × 10⁸ m³. A subsequent 10-year CO₂-injection scenario through an existing horizontal well at 35 MPa increases cumulative methane production at year 30 from 2.31 × 10⁸ to 2.52 × 10⁸ m³ relative to continued depletion, representing an incremental 2.1 × 10⁷ m³, or 9.1%. The post-injection regional gas inventory is 2.39 × 10⁸ m³; its decline from the pre-injection value reflects regional depletion and gas redistribution rather than incremental recovery alone. The workflow connects calibrated fracture behavior with spatial resource assessment to support injection-target selection and scenario evaluation. The predicted recovery improvement is conditional on the calibrated model and evaluated operating conditions.
Authors
- Chenrui Wang
- Lili Liu (ORCID: https://orcid.org/0000-0003-4403-3755)
- Mingliang Yang
- Chuxi Liu
- Wenhong Li
- Yi Yang
- Pengcheng Liu
- Peila Chen
- Wei Yu
- Yajing Shen
Publication Details
- Journal
- Preprints.org
- Published
- 2026-11-04
- DOI
- https://doi.org/10.20944/preprints202611.0266.v1
- Primary Topic
- Hydraulic Fracturing and Reservoir Analysis
- Type
- preprint