新疆石油地质

新疆石油地质 ›› 2016, Vol. 37 ›› Issue (zk(English) ): 100-104.

• APPLICATION OF TECHNOLOGY • 上一篇    下一篇

Application of Cloud Transform in Prediction of H Oilfield Carbonate Reservoirs in Middle East

CHEN Zhigang1,2, LIU Leisong2, GAO Jun2, DAI Shuanghe2, YANG Yu2, HAN Yuchun2   

  1. 1. School of Energy Resources, China University of Geosciences, Beijing 100083, China;
    2. Geological Research Center, BGP, CNPC, Zhuozhou, Hebei 072751, China
  • 出版日期:2017-01-01 发布日期:2021-05-24

Application of Cloud Transform in Prediction of H Oilfield Carbonate Reservoirs in Middle East

CHEN Zhigang1,2, LIU Leisong2, GAO Jun2, DAI Shuanghe2, YANG Yu2, HAN Yuchun2   

  1. 1. School of Energy Resources, China University of Geosciences, Beijing 100083, China;
    2. Geological Research Center, BGP, CNPC, Zhuozhou, Hebei 072751, China
  • Online:2017-01-01 Published:2021-05-24

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摘要： The well production of H oilfield in Middle East has positive correlation with the reservoir permeability, but the seismic wave impedance has nonlinear relationship with the permeability. So using regular linear transform approach to convert the impedance into the permeability is only 50% in accordance rate. Cloud transform is a nonlinear stochastic simulation method, by which the functional relationship between linear deviation points and overall attribute data can be resolved. The procedures are as follows: 1) To select probability function according to the accordance rate between real data probability distribution and simulation prediction results by the function; 2) Aiming to reservoirs and non-reservoirs respectively, to develop the cloud models for impedance-permeability conversion using the function; 3) To convert the impedance into the permeability by using the cloud model. Through the cloud transform, the accordance rate for permeability prediction of H oilfield can reach more than 90%, and this method could be applied to other areas with similar geology conditions.

关键词: Middle East, H oilfield, carbonate rock, reservoir prediction, permeability, cloud transform

Abstract: The well production of H oilfield in Middle East has positive correlation with the reservoir permeability, but the seismic wave impedance has nonlinear relationship with the permeability. So using regular linear transform approach to convert the impedance into the permeability is only 50% in accordance rate. Cloud transform is a nonlinear stochastic simulation method, by which the functional relationship between linear deviation points and overall attribute data can be resolved. The procedures are as follows: 1) To select probability function according to the accordance rate between real data probability distribution and simulation prediction results by the function; 2) Aiming to reservoirs and non-reservoirs respectively, to develop the cloud models for impedance-permeability conversion using the function; 3) To convert the impedance into the permeability by using the cloud model. Through the cloud transform, the accordance rate for permeability prediction of H oilfield can reach more than 90%, and this method could be applied to other areas with similar geology conditions.

Key words: Middle East, H oilfield, carbonate rock, reservoir prediction, permeability, cloud transform