【摘要】 将图像细化算法引入到地震资料数字处理中,用于有效检测地震剖面的同相轴。先对地震剖面进行预处理:动平衡、归一化和二值化,接着进行地震图像细化处理,通过设置阈值大小和细化极性实现了地震同相轴的检测,并消除或削弱随机噪声对拾取算法的影响。通过对图像数据和实际地震数据的计算结果表明,细化算法可以将较厚条带状同相轴细化并居中化,实现同相轴的自动提取,从而可以有效指导地震资料的数字处理与解释工作。更多还原

【Abstract】 The image processing operation is introduced into seismic data numerical processing to effectively check the cophasal axes of seismic sections.The seismic section is preprocessed firstly:dynamic balancing,normalization,and binarization,and then image thin processing was carried out.By introducing threshold and thin polarity,the automatic picking of effective seismic cophasal axes can be achieved,and the effect of random noise on picking operation can be reduced or removed.According to the processing results of image data and seismic data,the cophasal axes of thick strip can be thinned,centralized,and picked automatically by the image thin algorithm.The algorithm can effectively guide for the numerical processing and interpretation of seismic data.更多还原