新疆石油地质

新疆石油地质 ›› 2003, Vol. 24 ›› Issue (3): 229-231+177-178.

• 油藏工程 • 上一篇    下一篇

油气层综合解释系统的开发与应用

姜振学1, 刘晓冬2, 徐景祯2   

  1. 1.石油大学 盆地与油藏研究中心, 北京 102249;
    2.大庆石油学院 勘探系,黑龙江 安达 151400
  • 收稿日期:2002-06-12 发布日期:2020-09-21
  • 作者简介:姜振学（1962-）,男,吉林梨树人,副教授,石油地质。联系电话：010-89733328

Development and Application of Integrated Pay Zone Interpretation System

JIANG Zhen-xue, LIU Xiao-dong, XU Jing. zhen   

  • Received:2002-06-12 Published:2020-09-21
  • About author:JIANG Zhen-xue(1962-), Male, Associate Professor, Petroleum Geology, The Center of Basin and Reservoir Research, University of Petroleum, Beijing 102249, China

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摘要： 以人工神经网络技术和模糊隶属度统计方法为理论基础,在SUN工作站环境下开发了油气层综合解释系统。该系统用于识别岩心、岩屑、井壁取心、测井、气测和钻井等6大类46个参数。对于其中的定性参数,通过模糊统计确定参数不同属性属于油层、气层、水层和干层的隶属度,作为定性参数定量化的依据。在建立的动态神经网络模型中,不同的储集层流体性质以10种输出元输出模式表示。在应用过程中可通过选择不同的输入参数和中间层神经元数目调整神经网络结构,以适应不同的地质情况和对实际资料的要求。通过在辽河油田曙光、大洼等多个地区的实际应用,系统取得了良好的应用效果。

关键词: 油气层研究, 综合解释, 系统, 神经网络, 模糊数学

Abstract: Based upon the theories of artifcial neural netvork and fuzzy mathematics, a computer system for integrated pay zone interpretation is developed on Sun workstation. There are 46 parameters used to recognize the mature of fluids in reservoir, such as data from core analysis, cuttings, sidewall coring, well log, gas log and dilling. The ownership to oil, gas, water or dry beds is calculated using fuzzy statistics for category attributes, which is a quant itative description for the attribute. Zones containing different fluids are characterized by ten output patterns in the developed dynamice neural network. The structure of the network is adjusted to fit different geologic cases and data obtained by changing the input parameters of the input layer and the number of nodes in the middle layer. The system was applied to some areas in Liaohe depression, and showed remarkable consistent results with well tests in the field.

Key words: pay zone study, integrated interpretation, system, neural network, fuzzy mathematics

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