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Artificial Neural Network Model of Hydrocarbon Migration and Accumulation

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【作者】 刘海滨吴冲龙

【Author】 LIU Hai bin 1 WU Chong long 2 (1.School of Management, CUMT, Beijing 100083, China) (2.The Faculty of Earth Resources, CUG, Wuhan 430074, China)

【机构】 SchoolofManagementTheFacultyofEarthResources CUMTBeijing100083ChinaCUGWuhan430074China

【Abstract】 Based on the dynamic simulation of the 3 D structure the sedimentary modeling, the unit entity model has been adopted to transfer the heterogeneous complex passage system into limited simple homogeneous entity, and then the traditional dynamic simulation has been used to calculate the phase and the drive forces of the hydrocarbon , and the artificial neural network(ANN) technology has been applied to resolve such problems as the direction, velocity and quantity of the hydrocarbon migration among the unit entities. Through simulating of petroleum migration and accumulation in Zhu Ⅲ depression, the complex mechanism of hydrocarbon migration and accumulation has been opened out.

  • 【文献出处】 Journal of China University of Mining & Technology ,中国矿业大学学报(英文版) , 编辑部邮箱 ,2002年02期
  • 【分类号】P618.13
  • 【被引频次】1
  • 【下载频次】45
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