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Artificial Neural Network Model of Hydrocarbon Migration and Accumulation

机译:油气运聚的人工神经网络模型

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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 pas sage system into limited simple homogeneous entity, and then the traditional dyn amic simulation has been used to calculate the phase and the drive forces of the hyd rocarbon , and the artificial neural network(ANN) technology has been applied to resolve such problems as the direction, velocity and quantity of the hydrocarbo n migration among the unit entities. Through simulating of petroleum migration a nd accumulation in Zhu Ⅲ depression, the complex mechanism of hydrocarbon migra tion and accumulation has been opened out.
机译:基于3-D结构的动态模拟沉积建模,已经采用了单位实体模型将异构复合PAS Sage系统转移到有限的简单均匀实体中,然后使用传统的DYN AMIC模拟来计算相位和Hyd Rocarbon的驱动力和人工神经网络(ANN)技术已被应用于解决单位实体中液体液体迁移的方向,速度和数量的问题。通过模拟石油迁移朱Ⅲ凹陷的ND积累,碳氢化合物迁移和积累的复杂机理已被打开。

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