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致密油气

四川盆地致密气藏开发指标评价方法

  • 高雅洁 ,
  • 郭富凤 ,
  • 邓清源 ,
  • 王会强 ,
  • 于鹏 ,
  • 袁永杰 ,
  • 肖帆 ,
  • 高新平
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  • 1.中国石油西南油气田公司勘探开发研究院 四川成都 610041;
    2.中国石油西南油气田公司工程技术研究院 四川成都 610017
高雅洁,女,1984年生,工程师;主要从事油气田开发工作。地址:(610041)四川省成都市高新区天府大道北段12号。E-mail:gaoyaj@petrochina.com.cn

修回日期: 2024-07-22

  网络出版日期: 2024-11-05

基金资助

中国石油集团公司攻关性应用性科技专项(编号:2023ZZ25)

An evaluation method for development indexes in tight gas reservoirs of Sichuan Basin and its application

  • GAO Yajie ,
  • GUO Fufeng ,
  • DENG Qingyuan ,
  • WANG Huiqiang ,
  • YU Peng ,
  • YUAN Yongjie ,
  • XIAO Fan ,
  • GAO Xinping
Expand
  • 1. Exploration and Development Research Institute, PetroChina Southwest Oil & Gasfield Company, Chengdu, Sichuan 610041, China;
    2. Engineering Technology Research Institute, PetroChina Southwest Oil & Gasfield Company, Chengdu, Sichuan 610017, China

Revised date: 2024-07-22

  Online published: 2024-11-05

摘要

气藏开发指标评价工作是衡量气藏开发效果、发现开发中薄弱环节、提高生产管理水平的重要手段。为了助推四川盆地致密气勘探开发实现高质量发展,需要构建一个科学、合理、全面、实用的致密气藏开发指标评价体系,优选指标量化评价方法。针对四川盆地致密气藏实际数据特点,基于地质、井筒、地面一体化经验认识,筛选能全面反映致密气藏勘探开发情况的指标,搭建出致密气藏指标的基础框架,开展四川盆地致密气藏开发指标评价方法研究。研究结果表明:①采用大数据分析包括AHP层次法、CRITIC法、因子分析技术,和传统方法相结合,主客观融合,建立一套具有3维度、3阶段和分级的开发指标评价体系,实现致密气藏开发指标关键表征参数优选及综合权重分析;②采用功效系数法、等级法、k均值聚类法等数据融合治理与指标分数确定方法明确指标评分量化标准,将关键指标真实值转化成为数值得分,实现致密气藏精细化定量评价方法;③通过典型致密气藏实例验证,评价结果符合气藏实际,发现气藏开发存在采气速度过快、措施井比例低等短板与不足,对类似区块的开发效果评价具有重要的推广价值。

本文引用格式

高雅洁 , 郭富凤 , 邓清源 , 王会强 , 于鹏 , 袁永杰 , 肖帆 , 高新平 . 四川盆地致密气藏开发指标评价方法[J]. 天然气勘探与开发, 2024 , 47(5) : 29 -38 . DOI: 10.12055/gaskk.issn.1673-3177.2024.05.004

Abstract

Evaluating development indexes in gas reservoirs is prominent to measure the development effect, find the weakness in this development, and improve the production management. It is necessary to establish a scientific, rational, and practical evaluation system and select a quantitative evaluation method for tight gas of Sichuan Basin in the high-quality exploration and development. So, many indexes which can fully reflect such reservoirs’ exploration and development were picked out according to actual data and insights on geology-wellbore-surface integration. Moreover, an evaluation method suitable for such reservoirs was built. Results show that (i) with three dimensions and three phases as well as a hierarchy way, a system to evaluate the development indexes is established for tight gas reservoirs using big data analysis including analytic hierarchy process (AHP), criteria importance though intercrieria correlation (CRITIC) and factor analysis (FA) with traditional techniques. It enables the optimization on both key characterization parameters and comprehensive weight analysis; (ii) the index score quantification criteria are clarified by using data fusion management and index score determination such as efficacy coefficient method, grade method, and k-means clustering method. And the true value of elemental indexes is converted into a numerical score to achieve refined quantitative evaluation; and (iii) the evaluated results are in agreement with actual situation. Some weaknesses can be found in typical tight gas reservoirs, such as fast gas production and fewer measure wells. And this evaluation method is also applicable for similar reservoirs.
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