圈闭地质评价的人工神经网络算法

Artificial Neural Network Algorithm Of Geological Trap Appraisal

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（Back－propagationneuralnetwork）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。

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.