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

摘要/Abstract

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。

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

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

中图分类号:

TE122

李东晖,田玲钰,聂海宽,彭泽阳. 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[J]. 油气藏评价与开发, 2022, 12(3): 417-428.

LI Donghui,TIAN Lingyu,NIE Haikuan,PENG Zeyang. 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.

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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