中国石油勘探 ›› 2025, Vol. 30 ›› Issue (2): 174-184.DOI: 10.3969/j.issn.1672-7703.2025.02.013

• 工程技术 • 上一篇    

英雄岭页岩油藏压裂水平井综合甜点段分形评价方法

李菊花1,2,廉萃豪1,2,雷征东3,林海4,刘世铎4,万有余4,雷丰宇4   

  1. 1 长江大学油气钻采工程湖北省重点实验室;2 长江大学石油工程学院油气钻完井技术国家工程研究中心;3 中国石油勘探开发研究院;4 中国石油青海油田油气工艺研究院
  • 出版日期:2025-03-14 发布日期:2025-03-14
  • 作者简介:李菊花(1975-), 女, 博士, 教授, 主要从事油气田开发方向的研究. 联系方式:18062788827,
  • 基金资助:
    中国石油天然气股份有限公司“十四五”前瞻性项目“柴达木盆地页岩油勘探开发理论与关键技术研究”(2021DJ1808);中国石油天然气股份有限公司油气和新能源分公司科技项目“水平井分段压裂体积改造技术 V2.0 现场试验”(2022ZS0610)

Research on Integrated Fractal Evaluation Method for Sweet Spot Intervals in Fractured Horizontal Wells of Yingxiongling Shale Oil Reservoir

Li Juhua1,2,Lian Cuihao1,2,Lei Zhengdong3,Lin Hai4,Liu Shiduo4,Wan Youyu4,Lei Fengyu4   

  1. 1 Hubei Key Laboratory of Drilling and Production Engineering for Oil and Gas, Yangtze University;2 School of Petroleum Engineering, Yangtze University: National Engineering Research Center for Oil & Gas Drilling and Completion Technology;3 PetroChina Research Institute of Petroleum Exploration & Development;4 Oil& Gas Technology Research Institute of Qinghai Oilfield Company
  • Online:2025-03-14 Published:2025-03-14

摘要: 页岩油藏综合甜点需要考虑地质和工程因素,提出基于常规测井曲线分形特征评价页岩油藏压裂水平井综合甜点的方法。以青海油田英雄岭页岩油藏中甜点柴平2和柴平4压裂水平井为研究对象,提取常规测井曲线的分形特征参数,结合压后产剖面监测数据,利用灰色关联分析法引入加权多重分形谱宽Δα‘和加权分形维数D',建立了基于分形表征的三类产能评价标准。计算结果表明:I类综合甜点加权分形评价指标0.75<Δα‘1,0D'0.25;II类综合甜点0.35Δα‘<0.75,0.25D'<0.8;III类综合甜点0Δα‘<0.35,0.8D'<1。以柴平14-2井为验证井,本方法整体准确度达72.7%,显著高于常规评价方法的30.1%。该综合分形评价方法为页岩油藏综合甜点段的精准识别与高效开发提供了技术支撑。

关键词: 测井曲线, 多重分形谱, 分形维数, 灰色关联分析, 页岩油

Abstract: The comprehensive evaluation of sweet spots requires consideration of both geological and engineering factors in shale oil reservoirs. This paper proposes a fractal characteristic-based method using conventional logging curves to assess integrated sweet spots in fractured horizontal wells within shale oil reservoirs. Taking the Chaiping 2 and Chaiping 4 fractured horizontal wells within the sweet spot zones of the Yingxiongling shale oil reservoir in Qinghai Oilfield as case studies, we extracted fractal characteristic parameters from conventional well-logging data. By integrating post-fracturing production profile monitoring and employing gray relational analysis, weighted multifractal spectrum width (Δα') and weighted fractal dimension (D') were introduced to establish a tripartite productivity evaluation criterion based on fractal characterization. The results show that the comprehensive fractal evaluation index of the high-yield well section after Class I layering is 0.75<Δ α '<1, 0

Key words: Logging curve, Multifractal spectrum, Fractal dimension, Gray relational analysis, Shale oil

中图分类号: