工程工艺

基于Apriori关联分析的煤层气压裂效果主控因素识别

  • 杨兆中 ,
  • 熊俊雅 ,
  • 刘俊 ,
  • 闵超 ,
  • 李小刚 ,
  • 杨晨曦
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  • 西南石油大学油气藏地质及开发工程国家重点实验室,四川 成都 610500
杨兆中(1969 —),男,博士,教授,从事低渗透油气藏增产改造理论、技术与油气藏数值模拟研究。通讯地址:四川省成都市新都区西南石油大学,邮政编码:610500。E-mail: yangzhaozhong@swpu.edu.cn

收稿日期: 2019-12-04

  网络出版日期: 2020-08-07

基金资助

“十三五”国家科技重大专项“大型油气田及煤层气开发之专题四”(2016ZX05027003-007)

Identification of main controlling factors on performance of CBM well fracturing based on Apriori association analysis

  • Zhaozhong YANG ,
  • Junya XIONG ,
  • Jun LIU ,
  • Chao MIN ,
  • Xiaogang LI ,
  • Chenxi YANG
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  • State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, Sichuan 610500, China

Received date: 2019-12-04

  Online published: 2020-08-07

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。

本文引用格式

杨兆中 , 熊俊雅 , 刘俊 , 闵超 , 李小刚 , 杨晨曦 . 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 . DOI: 10.13809/j.cnki.cn32-1825/te.2020.04.010

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.

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