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Seismic attributes optimization and application in reservoir prediction

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Abstract

Petroleum geophysicists recognize that many parameters related to oil and gas reservoirs are predicted using seismic attribute data. However, how best to optimize the seismic attributes, predict the character of thin sandstone reservoirs, and enhance the reservoir description accuracy is an important goal for geologists and geophysicists. Based on the theory of main component analysis, we present a new optimization method, called constrained main component analysis. Modeling estimates and real application in an oilfield show that it can enhance reservoir prediction accuracy and has better applicability.

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Authors and Affiliations

  1. Geoscience College of Daqing Petroleum Institute, Daqing City, 163318, China

    Gao Jun

  2. Geophysical Exploration Company of Daqing Petroleum Administration Bureau, Daqing City, 163357, China

    Gao Jun, Wang Jianmin, Huang Baoshun & Zhang Guocai

  3. Seismic Exploration Institute of Geophysical Exploration Company of Shengli Oil Field, Dongying, 157110, China

    Yun Meihou

Authors
  1. Gao Jun
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  2. Wang Jianmin
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  3. Yun Meihou
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  4. Huang Baoshun
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  5. Zhang Guocai
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Additional information

Gao Jun is a Senior Engineer in the Geophysical Exploration Company of Daqing Petroleum Administration Bureau. He earned his Master’s degree from the Department of Mine Reconnaissance and Exploration at the Jilin University. He mainly engages in seismic data interpretation and comprehensive research. He is now studying for his PhD at the Daqing Petroleum University.

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Gao, J., Wang, J., Yun, M. et al. Seismic attributes optimization and application in reservoir prediction. Appl. Geophys. 3, 243–247 (2006). https://doi.org/10.1007/s11770-006-4007-z

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  • DOI: https://doi.org/10.1007/s11770-006-4007-z

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