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

doi:10.13809/j.cnki.cn32-1825/te.2022.03.003

Abstract

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.

Key words: shale gas, productivity, influencing factors, fuzzy analysis, radar chart, Jiaoshiba, Sichuan Basin

CLC Number:

TE122

Donghui LI,Lingyu TIAN,Haikuan NIE, et al. 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[J]. Petroleum Reservoir Evaluation and Development, 2022, 12(3): 417-428.

Figures/Tables 17

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References 25

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权重	有机碳含量	压力系数	含气量	储层埋深	优质储层钻遇长度	压裂段数	施工液量	加砂强度
主体北区	0.036	0.043	0.011	0.040	0.487	0.168	0.402	0.055
主体南区	0.067	0.114	0.052	0.334	0.002	0.004	0.391	0.084
东区	0.006	0.598	0.004	0.091	0.258	0.217	0.146	0.064
西区	0.021	0.224	0.032	0.064	0.051	0.417	0.529	0.079
西南区	0.024	0.082	0.046	0.181	0.012	0.062	0.010	0.055

标度	定义	说明
0.5	同等重要	两元素同等重要
0.6	稍微重要	一元素比另一元素稍微重要
0.7	明显重要	一元素比另一元素明显重要
0.8	重要得多	一元素比另一元素重要得多
0.9	极端重要	一元素比另一元素极端重要
0.1,0.2,0.3,0.4	反比较

权重	有机碳含量	压力系数	含气量	储层埋深	优质储层钻遇长度	压裂段数	施工液量	加砂强度
主体北区	0.126	0.116	0.116	0.073	0.168	0.189	0.116	0.095
主体南区	0.101	0.131	0.111	0.161	0.121	0.131	0.092	0.152
东区	0.074	0.176	0.138	0.118	0.116	0.184	0.088	0.106
西区	0.105	0.105	0.105	0.116	0.169	0.105	0.177	0.116
西南区	0.075	0.168	0.130	0.254	0.075	0.108	0.092	0.098

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

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