Stimulated reservoir volume (SRV) seldom provides an actual producible reservoir volume in gas shale reservoirs. It is determined by analysing microseismic events induced by a network of hydraulic fracture and reopened natural fractures. However, the occurrence of noncontributory microseismic events leads to an overestimation while the presence of natural fractures leads to an underestimation of producible reservoir volume. A relatively new concept used to quantify actual producible reservoir volume is the effective stimulated reservoir volume (ESRV). ESRV is essential in estimating ultimate recovery, propped volume, optimal fracture length, and spacing. This paper presents an outlook on the evolution and development of various models used to evaluate ESRV. The respective advantages and limitations of the various methods are discussed. It is observed that integrated modelling approaches, such as by using rate transient analysis and discrete fracture network modelling, are more efficient to characterise and describe the ESRV. Such an integrated approach should consider the stress/pressure dynamics, reservoir permeability, flow and fracture geometry which are vital for accurate ESRV characterisation.

在气页岩储层中，受激储层体积（SRV）很少能提供实际可生产的储层体积。它是通过分析由水力压裂和重新开放的天然压裂网络引起的微地震事件来确定的。然而，无贡献的微地震事件的发生导致高估，而天然裂缝的存在导致对可生产储层体积的低估。用于量化实际可生产油藏体积的相对较新的概念是有效增产油藏体积（ESRV）。ESRV在估算最终采收率，支撑体积，最佳裂缝长度和间距方面至关重要。本文介绍了用于评估ESRV的各种模型的演变和发展前景。讨论了各种方法各自的优点和局限性。可以看出，集成建模方法（例如使用速率瞬态分析和离散裂缝网络建模）可以更有效地表征和描述ESRV。这种综合方法应考虑应力/压力动态，储层渗透率，流动和裂缝几何形状，这对于准确进行ESRV表征至关重要。