新疆石油地质

新疆石油地质 ›› 2008, Vol. 29 ›› Issue (1): 94-97.

• 应用技术 • 上一篇    下一篇

模糊系统在储集层建模中的应用

沈楠1,2, 张春雷3, 秦旭升2   

  1. 1.中国科学院地质与地球物理研究所, 北京100029;
    2.中国石油新疆油田分公司彩南油田作业区, 新疆阜康831511;
    3.中国石油大学, 北京102249
  • 收稿日期:2007-09-28 发布日期:2020-08-10
  • 作者简介:沈楠(1967-), 男, 山东鱼台人, 高级工程师, 在读博士研究生, 石油地质,(Tel) 0994-3841776(E-mail) shen_nan@petrochina.com.cn.

Application of Fuzzy System to Reservoir Modeling

SHEN Nan1,2, ZHANG Chun-lei3, QIN Xu-sheng2   

  1. 1. Institute of Geology and Geophysics, CAS, Beijing 100029, China;
    2. Cainan Oilfield District, Xinjiang Oilfield Company, PetroChina, Fukang, Xinjiang 831511, China
  • Received:2007-09-28 Published:2020-08-10

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摘要： 以模糊规则、解模糊化方法和自学习过程为核心的模糊系统引入到储集层参数的建模中, 提出了模糊系统插值和随机模拟的思路和实现方法, 并以著名的GSLIB 软件所提供的实测数据为例进行了对比分析。研究表明, 利用模糊系统可以有效地进行地质参数的建模, 此方法在建模精度、对条件数据分布和特征参数的恢复方面均较优于传统的地质统计学方法(克里格和序贯高斯模拟)。

关键词: 储集层, 建模, 模糊系统, 随机模拟

Abstract: Fuzzy system consisting of fuzzy rules, defuzzying and self-learning process is applied in reservoir modeling. A new reservoir modeling method by interpolation and stochastic simulation is proposed. Correlation analysis is made using measured data from famous GSLIB software. Study shows that using the fuzzy system can make a modeling of geologic parameters, effectively. Such a method is better than the traditional geostatistics methods (Kriging and sequential gaussian simulation) in modeling precision, histogram and characteristic parameter recovery.

Key words: reservoir, modeling, fuzzy system, stochastic simulation

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