基于烃渗漏理论的油气异常地球物理判别系统的关键技术研究

烃渗漏效应会在近地表形成磁性蚀变带，因而可以根据磁性蚀变带产生的磁异常寻找油气异常区.为了减少利用磁力资料识别油气渗漏异常的不确定性和多解性，满足多种地学资料集成管理和综合分析的需要，有必要建立一个集数据管理、实时处理、综合评价和制图功能为一体的判别系统.本文对建立判别系统的关键技术进行了讨论.该系统以ArcGIS为二次开发平台，在继承ArcGIS现有功能的基础上，开发了常规位场数据处理方法模块和基于图像处理和分析技术的重磁异常信号增强和特征提取等功能模块，用于实现近地表油气渗漏异常的地球物理检测与判别，能够为油气有利区的确定提供技术支持，有利于提高地球物理数据处理和解释的效率.

Research for key techniques of geophysical recognition system of hydrocarbon-induced magnetic anomalies based on hydrocarbon seepage theory

Hydrocarbon seepage effects can cause magnetic alteration zones in near surface,and the magnetic anomalies induced by the alteration zones can thus be used to locate oil-gas potential regions.In oder to reduce the inaccuracy and multi-resolution of the hydrocarbon anomalies recognized only by magnetic data,and to meet the requirement of integrated management and sythetic analysis of multi-source geoscientfic data,it is necessary to construct a recognition system that integrates the functions of data management,real-time processing,synthetic evaluation,and geologic mapping.In this paper research for the key techniques of the system is discussed.The system uses the ArcGIS as the secondary development platform,inherits the basic functions of the ArcGIS,and develops two main sepecial functional modules,the module for conventional potential-field data processing methods and the module for feature extraction and enhancement based on image processing and analysis techniques.The system can be applied to realize the geophysical detection and recognition of near-surface hydrocarbon seepage anomalies,provide technical support for locating oil-gas potential regions,and promote geophysical data processing and interpretation to advance more efficiently.