气井产量递减分析方法与动态预测

Decline analysis methods and performance prediction of gas well production

张 文 解维国

大庆石油学院石油工程学院，黑龙江 大庆 163318

School of PetroleumEngineering, Daqing PetroleumInstitute, Daqing 163318, China

近年来，生产数据分析技术取得巨大进展，其中最重要的3项进展包括：分析生产数据时考虑流动压力；借助边界控制等效生产时间函数使定产量和定压力等效；利用拟时间修正随压力变化的天然气物性。这些进展使分析过程更加细致，分析结果更加可靠。但必须认识到，分析结果主要取决于实际生产数据的质量；更重要的是，取决于分析人员是否对生产数据具备去伪存真的本领，盲目地应用现代产量递减曲线分析方法而不考虑数据质量，有可能导致错误的解释和结果。综述RTA中用到的几种生产数据分析方法，介绍各种方法的优势和局限性，并举例阐述。

In recent years, there have been enormous advances in the science of production data analysis. Three of the most important examples are the inclusion of flowing pressures into analysis methods, the usage of a boundary dominated equivalent production time function to make constant rate and constant pressure equivalent, and the use of pseudo-time, which corrects for varying gas properties with pressure. In theory, these advancements enable more sophisticated analyses, accompanied by more reliable results.
However, it must be realized that the final value is strongly dependent upon the quality of real production data, and more importantly, the analyst’s ability to filter out the junk and retain the true reservoir signal. The blind application of modern decline analysis methods, without consideration of data quality issues, can lead to misinterpretation and erroneous results. This paper presents several production data analysis methods that are used in RTA, and introduces these methods and their advantages and limitations of each method. An additional example illustrates the methods.