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Geoscience ›› 2009, Vol. 23 ›› Issue (6): 1126-1130.

• Petroleum geology • Previous Articles     Next Articles

Method of Prediction and Application on Stochastical Simulating 3D Parameter Field of Rock Mechanics

CAO  Zheng-Lin1,2, ZHENG  Hong-Jun1, GOU  Ying-Chun1, YUAN  Jian-Ying1, ZHAO  Ying-Cheng1, SHI  Yong-Min3   

  1. 1 Research Institute of Petroleum Exploration and Development, CNPC, Beijing100083,China;
    2 Northwest Branch of Research Institute of Petroleum Exploration and Development, CNPC, Lanzhou,Gansu730020,China;
    3 School of Earth and Space Sciences, Peking University, Beijing100871,China
  • Received:2009-01-22 Revised:2009-10-11 Online:2009-12-29 Published:2012-02-16

Abstract:

 Presently, the methods of conventional log data are widely used to calculate rock mechanics parameters and are strongly required by fissure working rebuilding of artificial fracturing with the purpose of increasing oil production rate in oil fields. The method of prediction on stochastical simulating 3D parameter field of rock mechanics is brought forward in this paper. Namely, rock mechanics parameters- curve obtained by known and limited conventional log materials is took as inputs of hard data;and seismic attribute data body, hydrating of mud shale and rock environmental parameters data is took as constraint of soft data. By simulating stochastically through optimizing algorithm of Sequential Gauss Simulation,dynamical data field of rock mechanics parameter of three-dimensional space are gotten, then log response of rock mechanics parameters in position of any point in space is predicted. The special format of  the log responses to refect the dynamic change rule is presented for use of producing and engineering according to demand of exploration and development. Sequentially, the method provides a significant guiding role to establish perfect drilling, well completion, oil gas development project and technical measures in exploration and development.

Key words:  field of rock mechanics parameter, stochastical simulating, log response, prediction

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