• 页岩气勘探 •

### 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

1. 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
• 收稿日期:2021-04-28 出版日期:2022-06-26 发布日期:2022-06-24
• 作者简介:李东晖（1991—）,男,硕士,工程师,主要从事非常规油气开发研究工作。地址：北京市海淀区学院路20号,邮政编码：100083。E-mail： lidh.syky@sinopec.com

### 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

LI Donghui1,2,3(),TIAN Lingyu1,2,3,NIE Haikuan1,2,3,PENG Zeyang1,2,3

1. 1. State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing 100083, China
2. Sinopec Petroleum Exploration and Production Research Institute, Beijing 100083, China
3. Sinopec Key Laboratory of Shale Oil/Gas Exploration & Production, Beijing 100083, China
• Received:2021-04-28 Online:2022-06-26 Published:2022-06-24

Abstract:

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.

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