页岩气新井压裂规模优化设计

Fracturing scale optimization design for new shale gas well

 裴艳丽¹ 姜汉桥¹ 李俊键¹ 刘传斌¹ 周赫¹ 余曦²

中国石油大学石油工程教育部重点实验室，北京 102249 中联煤层气有限责任公司北京研究中心，北京 100011）

MOE Key Laboratory of Petroleum Engineering, China University of Petroleum, Beijing 102249, China Beijing Research Center, China United Coalbed Methane Co. Ltd., Beijing 100011, China)

由于页岩气藏的渗透率极低，一般小于0.1×10^-3.m2，对其实施多级分簇大规模体积压裂是目前改善储层导流能力、提高储层产能的关键技术。以涪陵页岩气田某区块为例，基于线网模型，文中提出了一套系统的页岩气藏新井压裂规模优化设计方法。根据老井压裂及试产数据，利用主成分分析法，筛选影响气井产能的关键压裂参数（压裂级数、裂缝导流能力和缝网带长）。采用响应面方法对区块新钻井的压裂施工进行优化设计，得到最佳新井压裂参数：压裂级数3，缝网带长120 m，裂缝导流能力45×10^-3 .m2·m。通过对老井压裂参数的统计分析，优化设计新井的体积压裂规模，可以最大程度发挥体积压裂的增产效果，实现页岩气藏的高效开发。

 Due to the low permeability of shale gas reservoir, generally smaller than 0.1×10^-3 .m2, multistage clustering volume fracturing is a key technique to improve flow conductivity and reservoir productivity. According to the basic information from a block in Fuling shale gas field, a set of systematic fracturing scale optimization design method for new drilling wells was proposed based on wire-mesh model. Principle component analysis was conducted on fracturing and production data of old wells to screen the most influential SRV parameters(number of fracturing stages, fracture conductivity, and fracture network band length). Response surface method was then applied to optimize key fracturing parameters for new drilling wells, which indicated the optimum fracturing parameters should be fracturing stages of 3, fracture network band length of 120 m and fracture conductivity of 45×10^-3 .m2·m. Through the statistical analysis of old shale gas wells, it is possible to predict the stimulated reservoir volume (SRV) scale for new drilling wells. This method will maximize the SRV yield-increasing effect and achieve efficient development of shale gas reservoir.

10.6056/dkyqt201602030