Xinjiang Petroleum Geology ›› 2008, Vol. 29 ›› Issue (1): 106-108.

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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

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

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