基于Apriori关联分析的煤层气压裂效果主控因素识别

doi:10.13809/j.cnki.cn32-1825/te.2020.04.010

摘要/Abstract

摘要：

煤层气井压裂增产改造效果会受到多方面因素综合制约,如煤储层地质特征、水力压裂施工参数等,故分析各因素的显著性,明确影响煤层气井压裂效果的主控因素具有重要的研究意义。基于国内Z气田区块的压裂施工数据,利用Apriori关联规则分析法对压裂效果主控因素进行追踪,并结合灰色关联度分析,形成了一套新的压裂措施效果主控因素识别方法,同时判断出影响该区块压裂效果的8个主控因素依次为：最大施工排量>平均砂比>含气饱和度>含气量>支撑剂施工总量>压裂液施工总量>携砂液量>前置液量,在压裂设计时可基于该方法,参照关联度大小优先调节不同的主控因素以控制压裂效果,进而为现场施工提供理论依据。

关键词: 煤储层, 压裂效果, 主控因素, Apirori关联分析, 灰色关联度

Abstract:

The effect of CBM wells fracturing is controlled by multiple factors including geological characteristics of coal reservoir and data of hydraulic fracturing technology, therefore, it’s important to analyze the significance of each factor and determine the main controlling factors affecting the fracturing effect of CBM wells. With reference to the fracturing data from a CBM gas field in China, Apriori association analysis is employed to track the main controlling factors, and in combination of grey correlation method, a new set of identification methods of these factors for the effect of fracturing measures has been put forward. Meanwhile, it is figured out that eight main controlling factors affecting the fracturing effects are in the order as follows: maximum operation displacement of fracturing>average sand ratio>gas saturation>gas content>total proppant volume>total fracturing fluid volume>sand carrying fluid volume>prepad fracturing volume. Based on this method, different main control factors can be adjusted preferentially with reference to the degree of correlation in fracturing design to control fracturing effect, so as to provide theoretical basis for field application.

Key words: coal seam, evaluation of fracturing effect, main controlling factors, Apriori association analysis, grey correlation method

中图分类号:

TE358

杨兆中,熊俊雅,刘俊等. 基于Apriori关联分析的煤层气压裂效果主控因素识别[J]. 油气藏评价与开发, 2020, 10(4): 63-69.

Zhaozhong YANG,Junya XIONG,Jun LIU, et al. Identification of main controlling factors on performance of CBM well fracturing based on Apriori association analysis[J]. Reservoir Evaluation and Development, 2020, 10(4): 63-69.

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工程因素		静态地质参数
压裂技术参数	完井参数	静态地质参数
压裂液施工总量、前置液量、携砂液量、支撑剂施工总量、破裂压力、最大施工排量、平均砂比、压裂施工曲线形态	射孔段厚度	含气饱和度、含气量、储层压力、临储比、渗透率

因素	符号	转换后的逻辑值
压裂液施工总量	x1	（1,2,3,4）
前置液量	x2	（5,6,7,8）
携砂液量	x3	（9,10,11,12）
支撑剂施工总量	x4	（13,14,15,16）
破裂压力	x5	（17,18,19,20）
最大施工排量	x6	（21,22,23,24）
平均砂比	x7	（25,26,27,28）
含气饱和度	x8	（29,30,31,32）
含气量	x9	（33,34,35,36）
储层压力	x10	（37,38,39,40）
临储比	x11	（41,42,43,44）
渗透率	x12	（45,46,47,48）
射孔段厚度	x13	（49,50,51,52）
压裂施工曲线形态	x14	（53,54,55,56,57）
压裂效果类标签	y	（101,102,103,104）

影响因素	关联规则	置信度
压裂液施工总量	frozenset({'101'}) -->frozenset({'4'})	0.5
前置液量	frozenset({'101'}) -->frozenset({'8'})	0.428 57
携砂液量	frozenset({'101'}) -->frozenset({'12'})	0.357
支撑剂施工总量	frozenset({'101'}) -->frozenset({'16'})	0.714
破裂压力	frozenset({'101'}) -->frozenset({'19'})	0.428 57
最大施工排量	frozenset({'101'}) -->frozenset({'24'})	0.428 57
平均砂比	frozenset({'101'}) -->frozenset({'28'})	0.428 57
含气饱和度	frozenset({'101'}) -->frozenset({'31'})	0.428 57
含气量	frozenset({'101'}) -->frozenset({'35'})	0.5
储层压力	frozenset({'101'}) -->frozenset({'39'})	0.428 57
临储比	frozenset({'101'}) -->frozenset({'42'})	0.428 57
渗透率	frozenset({'101'}) -->frozenset({'48'})	0.357
射孔段厚度	frozenset({'101'}) -->frozenset({'50'})	0.428 75
压裂施工曲线形态	frozenset({'101'}) -->frozenset({'56'})	0.285 7

压裂效果评价	井数占比/%
压裂效果评价	最大施工排量低	平均砂比低	含气饱和度低	含气量低
好	20	15	10	20
坏	40	20	10	10