气藏产能测井预测方法研究综述

气藏产能的精准预测直接关系到开发方案的有效制定。地球物理测井能够直接从井筒中获取储层信息，并有效表征与产能相关的孔隙度、渗透率、含气饱和度等参数，因此气藏产能测井预测研究备受业界重视。基于国内外气藏产能预测方法的文献调研，简要阐述了影响气藏产能的主控因素之后，系统梳理和归纳总结了测井曲线特征法、数理统计法、采气指数法、人工智能法4类气藏产能测井预测方法。最后，对其气藏产能测井预测方法的适用性进行分析，并对今后气藏产能测井预测方法进行展望，为今后各类气田产能测井预测方法的优选提供一定的理论参考。

Summary and Prospect of Research on Logging Prediction Methods of Gas Reservoir Productivity

Accurate prediction of gas reservoir productivity is directly related to the effective formulation of development plans. Geophysical logging can directly obtain reservoir information from the wellbore, and effectively characterize the parameters related to productivity, such as porosity, permeability, and oil saturation, so the industry pays much attention to the research on logging prediction of gas reservoir productivity. After systematically investigating the literature reports on gas reservoir productivity prediction methods at home and abroad, this paper briefly describes the main controlling factors that affect the gas reservoir productivity, and summarizes four common reservoir productivity logging prediction methodsthe, such as logging curve feature method, mathematical statistics method, gas production index method, artificial intelligence method, finally analyzes the applicability of gas reservoir productivity logging prediction methods, and the future gas reservoir productivity logging prediction methods are prospected. The aim is to provide a certain theoretical reference for the future optimization of various gas field productivity prediction methods through the research summary of this article.