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Artificial Neural Network Model of Hydrocarbon Migration and Accumulation

Artificial Neural Network Model of Hydrocarbon Migration and Accumulation
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摘要 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. 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.
出处 《Journal of China University of Mining and Technology》 2002年第2期210-214,共5页 中国矿业大学学报(英文版)
关键词 人工神经系统 碳氢化合物 非线性方法 盆地 ANN hydrocarbon migration and accumulation, nonlinear course, ANN
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参考文献5

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共引文献73

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