烃渗漏引起的磁异常的提取与识别

本文对近年来国内外在烃渗漏与磁异常关系以及磁异常提取与识别技术领域取得的进展进行了论述与总结.利用磁异常寻找油气资源,特别是在圈划异常远景区方面具有经济、快速、有效的优势.但也存在多解性问题.为了有效判别异常源性质，本文提出利用人工神经网络作为以上方法补充的思路，可以作为磁法预测油气远景区技术流程中的一环，有助于减少多解性.

Extraction and identification of the magnetic anomaly caused by hydrocarbon seepage

The research on the relationship of hydrocarbon seepage and magnetic anomalies and the ways to identify the magnetic anomalies are reviewed.It is a good way to prospect oil and gas by the magnetic anomalies caused by hydrocarbon seepage.But there are still some problems,such as multisolution on the identification of the magnetic anomalies sources and the technology of the extraction and identification of magnetic anomaly still need to be developed.In this paper,artificial neural network(ANN) is introduced to solve the problems.