Because of the large amount of energy-rich organic compound, shale gas reservoirs can be good sources of hydrogen energy. To ensure high yield of hydrogen energy, the production data analysis in those shale gas reservoirs is of great significance. However, due to geological and engineering factors, there exist complex mechanisms including stress-sensitivity effect of permeability, gas desorption, complex gas flows, multiple finite-conductivity fractures, and wellbore hydraulics. Unfortunately, little work has been done to focus on these complex mechanisms simultaneously. To comprehensively address this issue, this paper presents a comprehensive model by using a semi-analytical method, and those complex mechanisms are all considered by introducing adsorption index, Knudson diffusion coefficient, reservoir-wellbore constant, and Reynolds number. Both model verification and field application are performed. This study further narrows the gap between theory and practice of production data analysis in shale gas reservoirs, which helps to parameter evaluation, performance forecast, and productivity enhancement in the unconventional reservoirs of hydrocarbons.

由于富含大量能量的有机化合物，页岩气储层可以成为良好的氢能来源。为了保证氢能的高产，对这些页岩气藏的生产数据分析具有重要意义。然而，由于地质和工程因素，存在复杂的机理，包括渗透率的应力敏感性效应，气体解吸，复杂的气流，多次有限传导裂缝和井筒水力学。不幸的是，很少有工作可以同时关注这些复杂的机制。为了全面解决这个问题，本文使用半分析方法提出了一个综合模型，并通过引入吸附指数，努氏扩散系数，储层井眼常数和雷诺数来考虑那些复杂的机理。进行模型验证和现场应用。这项研究进一步缩小了页岩气储层生产数据分析理论与实践之间的差距，这有助于对非常规油气藏进行参数评估，性能预测和提高生产率。