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圈闭地质评价的人工神经网络算法
引用本文:董桥梁,靳晓丽.圈闭地质评价的人工神经网络算法[J].断块油气田,1998,5(2):14-15,38.
作者姓名:董桥梁  靳晓丽
作者单位:[1]中原石油勘探局计算中心 [2]中原石油勘探局国际合作部
摘    要:圈闭地质评价是从地质角度对圈闭的含油气进行分析,并将一系列定性、定量地质因素科学地用于地质评价,最终得出圈闭含油气的可能性。本文在综合分析前人方法的基础上,提出了利用人工神经网络中的误差回传神经网络进行计算的方法,简称B-P算法。实践证明,此方法特点明显,有较高的实用价值。

关 键 词:圈闭  地质因素  人工神经网络  油气藏

Artificial Neural Network Algorithm Of Geological Trap Appraisal
Dong Qiaoliang, Zhou Yubing, Jin Xiaoli.Artificial Neural Network Algorithm Of Geological Trap Appraisal[J].Fault-Block Oil & Gas Field,1998,5(2):14-15,38.
Authors:Dong Qiaoliang  Zhou Yubing  Jin Xiaoli
Abstract:Trap appraisal analyses oil&gas property of trap in geology. It applies a series of qualitative and quantitative geological elements scientificly to geological appraisal, which results in oil & gas possibility of trap finally. This paper brings forward Back-Progration Neural Network approach (B-P algorithm) on the base of analysing former methods, which is the branch of Artifical Neural Network. This methods is of obvious character and much applied va1ue in practice.
Keywords:Trp appraisal  Geology elements  Artificial Neural Network  Back-propagation neural network
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