新疆石油地质

新疆石油地质 ›› 2004, Vol. 25 ›› Issue (5): 535-537.

• 应用技术 • 上一篇    下一篇

支持向量机算法在地质录井中的应用

刘洪1, 钟大康2, 李文华1, 易俊1, 洪志琼3   

  1. 1.重庆石油高等专科学校,重庆 400042;
    2.石油大学,北京 102249;
    3.重庆气矿,重庆 400021
  • 收稿日期:2003-11-09 发布日期:2021-01-13
  • 作者简介:刘洪(1972-),男,重庆人,博士,油气田开发工程。联系电话:023-89092875

Application of Support Vector Machine Arithmetic to Geologic Logging

LIU Hong1, ZHONG Da-kang2, LI Wen-hua1, YI Jun1, HONG Zhi-qiong3   

  1. 1. Chongqing Petroleum College, Chongqing 400042, China;
    2. University of Petroleum, Beijing 102249, China;
    3. Chongqing Gas Field,Chongqing 400021, China
  • Received:2003-11-09 Published:2021-01-13

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摘要： 在地质录井油气水层识别研究中引入基于统计学习理论的支持向量机算法,对气测录井和地化录井中得到的各项参数及其导出参数之间的关系进行研究,并应用LibSVM软件建立了地质录井的油气水层识别模型,从而提供了一种新的地质录井油气水层识别方法。该方法在新疆某油田的实际应用结果证明,用支持向量机算法进行地质录井油气水层识别具有简单可靠、适应性强和识别精度较高等一系列优点。

关键词: 录井, 方法, 识别, 油气层

Abstract: The support vector machine arithmetic, based on statistical theory, is presented in study of recognition of oil, gas and water zones from geologic logging. The parameters from gasometry logging and geochemistry logging and relations among induced parameters are studied, thus developing a model with help of LibSV M software, by which a novel method for recognizing oil gas/ water zone from geologic logging is proposed. The real application of this method to an oilfeld in Xinjiang shows that the support vector machine arithmetic is simple,reliable, more practical and higher accurate for use.

Key words: logging, method, recognition, oil-gas zone

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