西南石油大学学报(自然科学版)

• 石油与天然气工程 • 上一篇    下一篇

压裂井储层质量综合评价研究

冯文彦1,曾凡辉2 *,郭建春2,尹丛彬2,韩晓渝3   

  1. 1. 海南福山油田勘探开发有限责任公司,海南海口570100
    2.“油气藏地质及开发工程”国家重点实验室·西南石油大学,四川成都610500
    3. 中国石油西南油气田公司,四川成都610051
  • 出版日期:2016-04-11 发布日期:2016-04-11
  • 通讯作者: 曾凡辉,E-mail:zengfanhui023024@126.com
  • 基金资助:

    国家自然科学基金(51525404,51504203);中央财政支持地方高校发展专项资金(20150727)。

A Study on Evaluation of Reservoir Quality of Fracturing Wells

FENG Wenyan1, ZENG Fanhui2*, GUO Jianchun2, YIN Congbin2, HAN Xiaoyu3   

  1. 1. Hainan Fushan Oilfield Exploration and Development Co. Ltd.,PetroChina,Haikou,Hainan 570100,China
    2. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation,Southwest Petroleum University,Chengdu,Sichuan 610500,China
    3. Southwest Oil and Gas Field Company Co. Ltd.,CNPC,Chengdu,Sichuan 610051,China
  • Online:2016-04-11 Published:2016-04-11

摘要:

压裂前对储层质量的优劣进行准确评价可以显著提高增产效果和经济效益。将储层质量分解为储集能力和
流动能力两个要素,并将要素进一步细化为孔隙度、渗透率、含气饱和度等容易获取和量化的指标参数,建立了多层次
的压裂井储层质量评价指标体系;并应用灰色关联分析方法获取各影响因素的重要程度和权重,然后结合模糊数学方
法考虑各影响因素的综合作用,形成了多级模糊灰色关联分析的综合评判体系;通过上述处理后得到一个表征压裂井
储层质量优劣的具体评分数值,根据该数值的大小即可对储层的优劣进行定量评价。现场应用表明,模糊综合评分越
高,储层改造后产量越高,充分验证了本文提出的方法的准确性和可靠性。

关键词: 模糊数学, 灰色理论, 压裂井, 储层, 综合评价

Abstract:

Accurate evaluation and understanding of well quality before fracturing can improve production and profit significantly.
This paper firstly divides the reservoir capacity into reservoir quality and flow capacity which fall further into elements
as porosity,permeability,gas saturation and other accessible and quantifiable indicating parameters. We establish a multi-level
quality evaluation index system of fracturing wells,which combines fuzzy comprehensive evaluation method with grey correlation
analysis theory,and presents a comprehensive evaluation method through multi-level fuzzy and grey correlation analysis.
After multi-factor comprehensive evaluation,this paper gets a comprehensive evaluation index,which is used to evaluate the
reservoir quality. Field application shows that the method is highly credible and accurate,and can quickly evaluate the quality
of fracturing wells.

Key words: fuzzy mathematics, grey theory, fracturing well, reservoir, comprehensive evaluation

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