特种油气藏 ›› 2021, Vol. 28 ›› Issue (5): 113-119.DOI: 10.3969/j.issn.1006-6535.2021.05.016

• 油藏工程 • 上一篇    下一篇

页岩气水平井高产主控因素定量评价及应用

何畅, 万玉金, 耿晓燕, 苏云河, 张晓伟   

  1. 中国石油勘探开发研究院,北京 100083
  • 收稿日期:2020-07-06 修回日期:2021-05-12 出版日期:2021-10-15 发布日期:2022-02-17
  • 通讯作者: 万玉金(1968—),男,教授级高级工程师,1990年毕业于大庆石油学院油藏工程专业,2005年毕业于中国地质大学(北京)矿产普查与勘探专业,获博士学位,现主要从事天然气开发评价及气田开发方案编制工作。
  • 作者简介:何畅(1996—),男,2018年毕业于长江大学石油工程专业,现为中国石油勘探开发研究院油气田开发专业在读硕士研究生,主要从事非常规天然气开发研究工作。
  • 基金资助:
    国家科技重大专项“页岩气气藏工程及采气工艺技术”子课题“页岩气开发规模预测及开发模式研究”(2016ZX05037-006)

Quantitative Evaluation and Application of Main Control Factors for High Production of Horizontal Shale Gas Wells

He Chang, Wan Yujin, Geng Xiaoyan, Su Yunhe, Zhang Xiaowei   

  1. Research Institute of Petroleum Exploration & Development, Beijing 100083, China
  • Received:2020-07-06 Revised:2021-05-12 Online:2021-10-15 Published:2022-02-17

摘要: 针对相同地质条件或施工工艺下,页岩气水平井产能差异较大的问题,以威远页岩气田WH平台为例,筛选出12项参数,利用主成分分析法,明确产量主控因素。结果表明:利用主成分分析法提取的2个主成分综合反映了原始参数94.09%的信息;压裂长度、优质储层厚度、压裂段数、压裂液用量、优质储层钻遇长度和优质储层压裂长度为WH平台水平井高产主控因素。以优质储层厚度、优质储层压裂长度和压裂液用量为代表构建了一种同时考虑SRV 3个维度的综合性参数“SRV因子”,通过与产量进行标定,建立了气井产量预测模型,实现产量快速准确预测。该研究为气井精细施工、产量预测及合理开发技术制订提供了参考。

关键词: 页岩气, 产能主控因素, 主成分分析法, 产量预测, 有效储层改造体积, 威远页岩气田

Abstract: In view of the great difference in the productivity of horizontal shale gas wells under the same geological conditions or construction technologies, taking the WH platform of the Weiyuan shale gas field as an example, 12 parameters were selected to determine the main production control factors with the principal component analysis method. The results showed that the two principal components selected by the principal component analysis method reflected 94.09% information of the original parameters comprehensively; fracturing length, high-quality reservoir thickness, number of fracturing sections, fracturing fluid consumption, and drilling length and fracturing length of high-quality reservoir were the main control factors for horizontal wells in WH platform. A comprehensive parameter “SRV factor” considering the three dimensions of SRV at the same time was established with high-quality reservoir thickness, high-quality reservoir fracturing length and fracturing fluid consumption as representative parameters. A gas well production prediction model was established through calibration with production to realize fast and accurate production prediction. This study provides a reference for gas well construction, production prediction and reasonable development technology.

Key words: shale gas, main control factors of productivity, principal component analysis method, production prediction, effective reservoir stimulation volume, Weiyuan Shale Gas Field

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