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Layered Production Allocation Method for Dual-Gas Co-Production Wells

Guangai Wu, Zhun Li (), Yanfeng Cao, Jifei Yu, Guoqing Han and Zhisheng Xing
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Guangai Wu: SKLOOGE—State Key Laboratory of Offshore Oil and Gas Exploitation, Beijing 100028, China
Zhun Li: SKLOOGE—State Key Laboratory of Offshore Oil and Gas Exploitation, Beijing 100028, China
Yanfeng Cao: SKLOOGE—State Key Laboratory of Offshore Oil and Gas Exploitation, Beijing 100028, China
Jifei Yu: SKLOOGE—State Key Laboratory of Offshore Oil and Gas Exploitation, Beijing 100028, China
Guoqing Han: College of Petroleum Engineering, China University of Petroleum, Beijing 102249, China
Zhisheng Xing: College of Petroleum Engineering, China University of Petroleum, Beijing 102249, China

Energies, 2025, vol. 18, issue 15, 1-24

Abstract: The synergistic development of low-permeability reservoirs such as deep coalbed methane (CBM) and tight gas has emerged as a key technology to reduce development costs, enhance single-well productivity, and improve gas recovery. However, due to fundamental differences between coal seams and tight sandstones in their pore structure, permeability, water saturation, and pressure sensitivity, significant variations exist in their flow capacities and fluid production behaviors. To address the challenges of production allocation and main reservoir identification in the co-development of CBM and tight gas within deep gas-bearing basins, this study employs the transient multiphase flow simulation software OLGA to construct a representative dual-gas co-production well model. The regulatory mechanisms of the gas–liquid distribution, deliquification efficiency, and interlayer interference under two typical vertical stacking relationships—“coal over sand” and “sand over coal”—are systematically analyzed with respect to different tubing setting depths. A high-precision dynamic production allocation method is proposed, which couples the wellbore structure with real-time monitoring parameters. The results demonstrate that positioning the tubing near the bottom of both reservoirs significantly enhances the deliquification efficiency and bottomhole pressure differential, reduces the liquid holdup in the wellbore, and improves the synergistic productivity of the dual-reservoirs, achieving optimal drainage and production performance. Building upon this, a physically constrained model integrating real-time monitoring data—such as the gas and liquid production from tubing and casing, wellhead pressures, and other parameters—is established. Specifically, the model is built upon fundamental physical constraints, including mass conservation and the pressure equilibrium, to logically model the flow paths and phase distribution behaviors of the gas–liquid two-phase flow. This enables the accurate derivation of the respective contributions of each reservoir interval and dynamic production allocation without the need for downhole logging. Validation results show that the proposed method reliably reconstructs reservoir contribution rates under various operational conditions and wellbore configurations. Through a comparison of calculated and simulated results, the maximum relative error occurs during abrupt changes in the production capacity, approximately 6.37%, while for most time periods, the error remains within 1%, with an average error of 0.49% throughout the process. These results substantially improve the timeliness and accuracy of the reservoir identification. This study offers a novel approach for the co-optimization of complex multi-reservoir gas fields, enriching the theoretical framework of dual-gas co-production and providing technically adaptive solutions and engineering guidance for multilayer unconventional gas exploitation.

Keywords: coalbed methane–tight gas; commingled production; gas well deliquification; production allocation; wellhead parameters; dynamic inversion (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: 2025
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