【摘要】 针对滨里海AS地区的勘探开发目标层系,运用人工神经网络和主组分分析等技术和方法,对研究区的地震反射波形变化特征及其反映的地质特征进行识别和分类,得到地震相图,应用主要地震相单元中单井相分析成果建立地震相与沉积相的对应关系,将地震相转化为沉积相。该方法弥补了单纯用钻井资料进行沉积相划分的缺陷,提高了沉积相划分精度。更多还原

【Abstract】 AS oil field was located in the eastern section of Astrakhan-Aktyubinsk Uplift Zone and Central Depression of the Pre-Caspian Basin with an exploration area of about 1 000 km 2.It was the exploration targets of post-salt strata.In lights of the target layers of exploitation in AS area of Pre-Caspian Basin,the authors used artificial neural network and primary composition analysis(PCA) techniques to carry out recognition and category of the various features of waveforms and geologic features in the field to obtain seismic facial maps,and established a relationship between seismic facies and sedimentary facies and then got the planar distribution of sedimentary facies in combination with the single well microfacies analysis.The method made up the limitation of studying sedimentary fades by only using single well data and improved the accuracy of it.更多还原