缝网导流能力变化规律测试及预测方法

doi:10.3969/j.issn.1006-6535.2026.03.019

特种油气藏 ›› 2026, Vol. 33 ›› Issue (3): 166-174.DOI: 10.3969/j.issn.1006-6535.2026.03.019

• 钻采工程 • 上一篇

缝网导流能力变化规律测试及预测方法

张意^1,2,3, 王雷^1,2,3, 李圣祥⁴, 熊飞扬^1,2,3, 白振玮^1,2,3

1.长江大学,湖北武汉 430100;
2.油气钻采工程湖北重点实验室,湖北武汉 430100;
3.低碳催化与二氧化碳利用全国重点实验室,湖北武汉 430100;
4.中国石化西南油气分公司页岩气项目部,重庆 402160

收稿日期:2024-12-24 修回日期:2025-12-31 出版日期:2026-06-25 发布日期:2026-09-04
通讯作者: 王雷(1976—),男,教授,2000年毕业于西南石油学院石油工程专业,2005年毕业于西南石油大学油气田开发专业,获博士学位,现主要从事非常规油气藏改造理论与技术研究工作。
作者简介:张意(2001—),男,2023年毕业于长江大学石油工程专业,现为该校油气田开发工程专业在读硕士研究生,主要从事非常规油气藏改造理论与技术研究。
基金资助:
国家科技重大专项“全球非常规油气勘探开发关键工程技术体系”(2025ZD1403905)

Testing and prediction method for variation patterns of fracture network conductivity

ZHANG Yi^1,2,3, WANG Lei^1,2,3, LI Shengxiang⁴, XIONG Feiyang^1,2,3, BAI Zhenwei^1,2,3

1. Yangtze University,Wuhan,Hubei 430100,China;
2. Hubei Key Laboratory of Oil and Gas Drilling and Production Engineering,Wuhan,Hubei 430100,China;
3. National Key Laboratory of Low-Carbon Catalysis and CarbonDioxide Utilization,Wuhan,Hubei 430100,China;
4. Shale Gas Project Department,Sinopec Southwest Oil & Gas Company,Chongqing 402160,China

Received:2024-12-24 Revised:2025-12-31 Online:2026-06-25 Published:2026-09-04

摘要/Abstract

摘要： 缝网导流能力是实现页岩气高效开发的关键因素之一,但其影响因素和演化规律尚不明确。为了评价不同缝网结构的导流能力,采用支撑剂导流能力评价装置,测定不同分支缝数量、夹角以及不同支撑类型的缝网导流能力变化规律,并基于水电相似原理,建立一种缝网导流能力预测方法。研究表明:分支缝数量越多,分支缝与主缝夹角越小,缝网导流能力越大;在低闭合压力下,自支撑缝网导流能力较支撑缝网导流能力更大,而高闭合压力下支撑缝网导流能力显著优于自支撑缝网;基于所建立的缝网导流能力预测模型,得到的计算值与实验值整体均方根误差为10.22%,吻合度高。该研究结果可为页岩气储层体积压裂过程中形成具有较高导流能力的复杂缝网提供理论指导。

关键词: 缝网导流能力, 分支缝, 自支撑, 导流能力预测

Abstract: Fracture network conductivity is one of the key factors for achieving efficient shale gas development,yet its influencing factors and evolution patterns remain unclear.To evaluate the conductivity of fracture networks with different structures,a proppant conductivity evaluation device was used to determine the variation patterns of fracture network conductivity under different numbers of branch fractures,different included angles between branch fractures,and different propping types.On this basis,and following the hydraulic-electric analogy principle,a prediction method for fracture network conductivity was established.The results show that the greater the number of branch fractures and the smaller the included angle between branch fractures and the main fracture,the higher the fracture network conductivity.Under low closure pressure,the conductivity of self-propped fracture networks is greater than that of propped fracture networks,whereas under high closure pressure,propped fracture networks are significantly superior to self-propped fracture networks in conductivity.Based on the established prediction model for fracture network conductivity,the calculated values agree well with the experimental values,with an overall root-mean-square error of 10.22%.These results can provide theoretical guidance for the formation of complex fracture networks with high conductivity during volume fracturing of shale gas reservoirs.

Key words: fracture network conductivity, branch fracture, self-propping, conductivity prediction

中图分类号:

TE357

张意, 王雷, 李圣祥, 熊飞扬, 白振玮. 缝网导流能力变化规律测试及预测方法[J]. 特种油气藏, 2026, 33(3): 166-174.

ZHANG Yi, WANG Lei, LI Shengxiang, XIONG Feiyang, BAI Zhenwei. Testing and prediction method for variation patterns of fracture network conductivity[J]. Special Oil & Gas Reservoirs, 2026, 33(3): 166-174.

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缝网导流能力变化规律测试及预测方法

Testing and prediction method for variation patterns of fracture network conductivity

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