基于模糊层次分析法的页岩气井产能影响因素分析及综合评价模型——以四川盆地焦石坝页岩气田为例  

Factor analysis and comprehensive evaluation model of shale gas well productivity based on fuzzy analytic hierarchy process:Taking Jiaoshiba shale gas field in Sichuan Basin as an example

作　　者：李东晖 田玲钰[1,2,3] 聂海宽 彭泽阳[1,2,3] LI Donghui;TIAN Lingyu;NIE Haikuan;PENG Zeyang(State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development,Beijing 100083,China;Sinopec Petroleum Exploration and Production Research Institute,Beijing 100083,China;Sinopec Key Laboratory of Shale Oil/Gas Exploration&Production,Beijing 100083,China)

机构地区：[1]页岩油气富集机理与有效开发国家重点实验室,北京100083 [2]中国石化石油勘探开发研究院,北京100083 [3]中国石化页岩油气勘探开发重点实验室,北京100083

出　　处：《油气藏评价与开发》2022年第3期417-428,454,共13页Petroleum Reservoir Evaluation and Development

基　　金：中国石化重点科技项目“深层页岩气多维度地质工程参数评价研究”(P20046-1);国家自然科学基金项目“四川盆地五峰组—龙马溪组页岩气储层演化机理及评价方法”(41872124)。

摘　　要：页岩气藏为“人造气藏”,流动机理复杂,影响气井产能的因素较多,明确气井产能影响因素并建立对应的产能评价模型,是科学高效开发页岩气田的关键。针对涪陵焦石坝页岩气田的地质条件和压裂效果,以分区研究为基础,系统分析页岩气多段压裂水平井的产能影响因素,并利用雷达面积模型和模糊层次分析方法对筛选出的8类产能影响因素进行综合分析。研究结果表明:不同分区各因素对产能的影响程度存在明显差异,主体北区和西区储层物性条件较好,水平段参数和压裂规模是气井产能的主控因素;东区气井产能则与保存条件相关性明显;主体南区埋深增大,可压性参数和压裂规模共同决定气井产能;西南区气井的可压性决定了气井产能。通过模糊层次分析法确定不同分区产能影响因素的权重,进而建立适用于页岩气井的产能综合评价模型。调整井的数值模拟分析和实际应用效果均表明,模糊层次综合评价模型预测的气井产能对焦石坝调整井适用,模型可用于分析和预测页岩气井的产能及开发效果。Shale gas reservoir is an“artificial reservoir”with complex flow mechanism and many factors affecting well productivity.The key to develop the shale gas field in a scientific and efficient way is to determine the factors influencing gas well productivity and further establish productivity evaluation model.Based on the geological background and fracturing effect of shale wells in the Jiaoshiba Block,Fuling Gas Field,the factors influencing the productivity of multi-stage fractured horizontal shale gas wells are systematically analyzed.Then,the radar chart and fuzzy analytic hierarchy process(FAHP)are used to analyze the eight main factors affecting the productivity.Results show that there are obvious differences in terms of the degree various factors influencing on well productivity in different regions.Specifically,since the reservoir physical properties in the northern of the main area and western areas are favorable,the horizontal section parameters and fracturing scale are the main control factors of gas well productivity;the productivity of gas wells in the eastern area is highly related to the preservation conditions;due to the increase of buried depth in the south of the main area,the compressibility parameters and fracturing scale jointly determine the gas well productivity.In contrast,the compressibility parameters of gas wells in the southwest of the Jiaoshiba are the controlling factor.In this paper,fuzzy analytic hierarchy process(FAHP)is applied to determine the weight of various factors affecting productivity in different areas,and then a comprehensive productivity evaluation model suitable for shale gas wells is established.The results of numerical simulation and practical application show that the gas well productivity predicted by fuzzy comprehensive evaluation model is applicable to the infill wells in the Jiaoshiba Block,and the model is effective to analyze and predict the productivity and development effect of shale gas well.

关 键 词：页岩气 产能 影响因素 模糊分析 雷达模型 焦石坝 四川盆地 

分 类 号：TE122[石油与天然气工程—油气勘探]