中国石油勘探 ›› 2025, Vol. 30 ›› Issue (2): 159-168.DOI: 10.3969/j.issn.1672-7703.2025.02.012

• 工程技术 • 上一篇    

柴达木盆地英雄岭页岩油藏压裂水平井综合甜点段分形评价方法研究

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 油气钻采工程湖北省重点实验室(长江大学);2 油气钻完井技术国家工程研究中心(长江大学);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,重庆人,博士,2006 年毕业于中国石油大学(北京),教授, 主要从事油气田开发方向的研究工作。地址:湖北省武汉市蔡甸区长江大学武汉校区,邮政编码:430100。
  • 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)。

Fractal evaluation method for comprehensive sweet spot interval of Yingxiongling shale oil reservoir in horizontal fracturing wells, Qaidam Basin

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

  1. 1 Key Laboratory of Oil and Gas Drilling and Production Engineering, Yangtze University; 2 National Engineering Research Center
    for Oil & Gas Drilling and Completion Technology, Yangtze University; 3 PetroChina Research Institute of Petroleum Exploration &
    Development; 4 Oil & Gas Technology Research Institute, PetroChina 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,本文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 井和柴平4 井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3 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′≤ 1,0<D′≤ 0.25;Ⅱ类综合甜点0.35<Δα′≤ 0.75,0.25<D′≤ 0.8;Ⅲ类综合甜点0<Δα′≤ 0.35, 0.8<D′≤ 1。以英页2H14-2 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% 准确度。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 evaluation of comprehensive sweet spots of shale oil reservoir involves both geological and engineering factors. A conventional logging curve based fractal characteristic method has been proposed to evaluate comprehensive sweet spot interval of shale oil reservoir in horizontal fracturing wells. Taking Chaiping 2 and Chaiping 4 horizontal fracturing wells in sweet spot zone of Yingxiongling shale oil reservoir in Qinghai Oilfield as case studies, fractal characteristic parameters are extracted from conventional well logging data. By integrating post-fracturing production profile monitoring data, and applying gray relation analysis method, parameters such as weighted multifractal spectrum width (Δα') and weighted fractal dimension (D') are introduced to establish a production capacity evaluation standard based on fractal characterization. The results show that the weighted fractal evaluation index for Class Ⅰ comprehensive sweet spot is 0.75<Δα'≤1, 0<D'≤0.25, that for Class Ⅱ comprehensive sweet spot is 0.35<Δα'≤0.75, 0.25<D'≤0.8, and that for Class Ⅲ comprehensive sweet spot is 0<Δα'≤0.35, 0.8<D'≤1. After validated by Well Chaiping 14-2, it is indicated that an overall accuracy reaches up 72.7%, which is significantly higher than 30.1% by conventional method. This integrated fractal evaluation approach provides technical support for precise identification and high-efficiency development of comprehensive sweet spot intervals of shale oil reservoirs.

Key words: Logging curve, multifractal spectrum, fractal dimension, gray relation analysis, shale oil

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