油气圈闭遥感影像模式在××地区油气勘查中的应用

按照油气微渗漏理论, 利用TM数据同已知油气田进行相关分析, 优选波段变量组合, 进行图像处理, 可以获得和建立反映油气水分布主趋势的色调异常影像模式。这些色调异常的形成, 除了与油气圈闭相伴的油田水类型及总矿化度有关外, 同时还受地貌和地表、地下水排泄条件、第四条沉积、植被等因素影响和干扰。在相同含油气条件下的不同地物具有相同的色调显示, 在不同含油气条件下的相同地物却具有不同色调特征, 因此, 遥感图像上的色调异常必然具有一定的多解性。为了减少单一色调异常的多解性, 必须同时利用遥感图像中的线性体和环形构造信息, 建立油气圈闭的线性体-环形构造-色调异常影像模式进行油气预测。

THE APPLICATION OF REMOTE SENSING IMAGE RECOGNITION MODEL OF OIL TRAPS IN THE OIL──GAS PROSPECTING

Abstract According to the theory of oil-gas micro-leakage,the image model of tone anomaly which reflects the main trend of oil-gas-water distribution can be set up on the basis of relative analysis of TM data and the known oil-gas field,optimum selection of bands combination and image processing.The formation of tone anomalies was related with the type of water accompanied by oil-gas traps and the general mineralization,as well as affected and interfered by landforms,surface,drainage condition of ground water,Quatemary sediment and vegetation.The different surface objects under the same oil-gas bearing condition have different tone indication.The same surface objects under different oil-gas bearing condition also have differernt tone indication.So,the tone anomalies on the remote sensing images are surely ambiguous.In order to reduce the ambiguity of unitary tone anomalies,the image model of linear features-circular structures-tone anomalies of oil-gas traps needs to be set up for the purpose of oil-gas prospecting,using the information of linear features and circular structures on remote sensing images.