论文部分内容阅读
断层解释是油气勘探构造解释的关键,断层解释的精确性和合理性直接影响构造解释的精度.相干技术是基于相邻地震道之间相似性的算法技术,可以有效地压制地震信号的连续性,突出其中的不连续性.但是传统的相干算法受噪声的影响较大,不能很好地处理含有较大噪声情形下断层精确检测的问题.本文利用高阶统计量对高斯噪声不敏感的特点,与多道相似的第二代相干算法相结合,提出了一种新的基于高阶统计量的多道相似相干算法,并将这种算法推广到了高阶统计量的特征值相干算法的形式.真实实验数据结果表明,该算法有很好的抑制噪声能力,提高了相干体算法的分辨率.
Fault interpretation is the key to interpretation of hydrocarbon exploration tectonics, the accuracy and rationality of fault interpretation directly affect the accuracy of tectonic interpretation.Coherence is an algorithm based on the similarity between adjacent seismic traces, which can effectively suppress the continuity of seismic signals , Which highlights the discontinuity.However, the traditional coherent algorithm is greatly affected by the noise and can not deal with the problem of the accurate detection of the fault with more noise.In this paper, the high-order statistics is not sensitive to Gaussian noise , A new multi-channel similarity coherence algorithm based on high-order statistics is proposed in combination with multi-channel second-generation coherent algorithms. The algorithm is generalized to the form of eigenvalue coherence algorithm for higher-order statistics The experimental results show that this algorithm has a good ability to suppress noise and improve the resolution of the coherent algorithm.