论文详情

多种地震信息预测油气的自组织神经树模型

石油实验地质

1996年 18卷第1期

阅读：110

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Title

A SELF-ORGANIZING NERVE-TREE MODEL OF VARIOUS SEIMIC INFORMATION FOR HYDROCARBON PREDICTION

作者

蔡煜东许伟杰

Authors

Cai Yudong Xu Weijie

单位

中国科学院上海冶金研究所 200050

Organization

Shanghai Institute of Metallurgy, CAS

摘要

本文提出油气预测的自组织神经树模型,并选取一组标样作为研究对象,预测成功率达100%,结果表明,该方法性能良好,可望成为利用地震信息预测油气的一种有效辅助手段。

Abstract

A self-organizing nerve tree model for hydrocarbon standard prediction was presented and a group of training samples were selected as study objective in the paper, in which the successful rate for prediction is 100%. Could be with high quantity, the model therefore could be a potential for hydrocarbon predition on seismic information.

关键词：

地震信息; 油气预测; 人工神经网络; 自组织神经树模型;

基金项目

DOI

https://doi.org/10.11781/sysydz199601111