新疆石油地质

新疆石油地质 ›› 2008, Vol. 29 ›› Issue (1): 106-108.

• 应用技术 • 上一篇    下一篇

多地震属性同位协同储集层地质建模方法

陈建阳1, 于兴河1, 李胜利1, 王彦辉2, 杨愈1, 代伟平3   

  1. 1.中国地质大学能源学院, 北京100083;
    2.中国石油大庆油田有限责任公司勘探开发研究院, 黑龙江大庆163712;
    3.中国石化胜利油田分公司东辛采油厂技术质量安全监督中心, 山东东营257094
  • 收稿日期:2007-03-08 发布日期:2020-08-10
  • 作者简介:陈建阳(1978-), 男, 山东莱阳人, 在读博士研究生, 矿产普查与勘探,(Tel) 010-82321857(E-mail) aacjy@126.com.
  • 基金资助:
    高等学校博士学科基金点专项基金项目和中国石化集团公司重大科技攻关项目, 东营凹陷和苏北盆地第三系特征和运移条件研究(20050491001)资助

Reservoir Geological Modeling with Multi-Seismic Attributes Collaboration

CHEN Jian-yang1, YU Xing-he1, LI Sheng-li1, WANG Yan-hui2, YANG Yu1, DAI Wei-ping3   

  1. 1. Institute of Energy Resources, China University of Geosciences, Beijing 100083, China;
    2. Research Institute of Exploration and velopment, Daqing Oilfield Company Ltd., PetroChina, Daqing, Heilongjiang 163712, China;
    3. Security Surveillance Center of Technology and Quality, Dongxin Oil Production Plant, Shengli Oilfield Company Ltd., Sinopec, Dongying,Shandong 257094, China
  • Received:2007-03-08 Published:2020-08-10

PDF

235

摘要： 介绍了多地震属性提取及分析的基本原理, 提出具体研究思路: 首先提取多种地震属性进行聚类分析, 选取地震属性组合, 拟合与井点砂体厚度的相关性, 得到砂体厚度的平面分布预测; 然后在地质建模软件中, 利用变差函数, 进行空间相关性分析, 进而协同井间砂体厚度分布预测结果, 建立三维砂体骨架及属性参数模型, 以此定量表征储集层的三维空间分布特性及其非均质性。以大庆杏树岗油田杏56 井区为例, 指出将多地震属性分析结果协同储集层地质建模, 可以综合地震、地质、测井等多方面信息, 可为充分有效地综合利用多尺度信息提供良好平台。

关键词: 杏树岗油田, 地震, 储集层, 模型, 预测

Abstract: The basic principles for multi-seismic attributes extraction and analysis are presented, including interwell attribute prediction algorithm, cluster analysis algorithm, regionalized variable analysis of structure and collaborative Krikin algorithm, etc. The procedure includes extracting the multi-seismic attributes for cluster analysis, selecting the seismic attribute combination, simulating correlation with sand thickness of well, predicting the lateral distribution of sand thickness, making spatial correlation analysis using variogram tool of the software for geological modeling, collaborating the predicted interwell sand thickness distribution results, and then developing 3D sand matrix and attribute parameter models for quantitative characterization of spatial distribution and heterogeneity of reservoir. Taking an example of Wellblock Xing-56 in Xingshugang oilfield of Daqing, it is suggested that the reservoir geological modeling collaborated with the multi-seismic attribute analysis results is favorable for combination of a variety of information such as seismic, geological and well log data in order to provide a good platform of fully effective and more comprehensive use of multi-scale information.

Key words: Xingshugang oilfield, seism, reservoir, model, modeling, prediction

中图分类号: