利用IPA技术精细识别裂缝——以柴达木盆地南翼山工区为例
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摘要
柴达木盆地南翼山工区受压扭走滑运动影响,地层岩性破碎强烈、断裂复杂,导致地震资料裂缝成像及解释难度较大.为准确识别南翼山断裂体系,作者在本区首次利用地震像素处理分析技术进行裂缝识别.通过构造向量属性及构造约束滤波对地震资料进行成像处理,明显提高了裂缝成像精度;利用边缘探测算法检测出断裂,最终提取出断裂体并分析出断裂空间展布规律.通过该技术在南翼山工区的应用,准确描述出中深层-浅层双层格架的裂缝展布特征,为柴西北裂缝性储层研究提供了技术支持.地震像素处理分析技术在利用地震资料定量识别裂缝方面具较大潜力.
The northwestern margin of the Qaidam Basin is obviously affected by strike-slip movement.It is difficulty for fault imaging and interpretation of seismic data due to strongly broken lithology and complexity fractures.By utilizing seismic image processing and analysis technique we identify fractures.Firstly we divide seismic volume into pixels,secondly by means of structural vectors and advanced filter methods in combination with Edge Detected Algorithm we detect abnormal bodies,and plot them with different colors.Finally we complete the fault extraction and corresponding analysis work.By the application of IPA technique in the Nanyishan area,the vertical and lateral anisotropy of fault systems are clearly described,and the fracture distribution of two-double framework (semi-deep-shallow layer) are identified.As technical support to fractured reservoirs in the northwestern margin of the Qaidam Basin,the IPA technique has good prospect in quantitative identification of fractures.
引文
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