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Evaluation Method of Shale Gas Productivity Considering Desorption Effect

Huilin Li1, Dongxi Liu1, Wen Tang1, Liangjun Xu1, Xinrui Yang1, Qibing Wen1, Licheng Yang1, Lu Xu1, Tong Xia1, Ziyang Tang1, Hongbin Liang2,*
1 Chongqing Division, PetroChina Southwest Oil & Gas Field Company, Chongqing, China
2 Unconventional Oil and Gas Development Institute, Chongqing University of Science and Technology, Chongqing, China
* Corresponding Author: Hongbin Liang. Email: email
(This article belongs to the Special Issue: Progress and Prospects of Hydraulic Fracture Network Morphology Characterization, Flow Simulation and Optimization Technology for Unconventional Oil and Gas Reservoirs)

Energy Engineering https://doi.org/10.32604/ee.2026.086466

Received 31 May 2026; Accepted 13 July 2026; Published online 21 July 2026

Abstract

The Sichuan Basin is rich in shale gas, yet the rapid decline in well productivity poses a significant challenge to production forecasting. Therefore, establishing a reliable method for evaluating shale gas productivity is essential for formulating a reasonable development plan for gas wells. However, existing evaluation methods typically treat desorption as a completely reversible process of adsorption, neglecting the influence of desorption hysteresis effect. In this work, it is found that the Langmuir model can describe both the adsorption and desorption processes of shale gas adequately; however, the corresponding adsorption parameters differ between the two processes due to the desorption hysteresis effect. By considering the desorption effect, a modified apparent permeability model and a modified material balance equation are further established. On this basis, by combining the five-linear flow theory, a shale gas productivity evaluation model accounting for the desorption effect is developed, and its reliability is validated using actual shale gas well data from the Sichuan Basin. Model calculations indicate that neglecting the desorption hysteresis effect can result in overestimating well productivity.

Keywords

Shale gas; desorption; estimated ultimate recovery; material balance; mathematical model
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