摘要
利用仿真数字随机发生器产生反射系数序列，在ＡＲＭＡ子波参数已知的条件下，利用人工合成记录，以稀疏状态下的反射系数和稠密状态下的反射系数对极大似然反褶积的稳健性进行了讨论，系统参数辨识的精度越高，反射系数序列的精度也就越高。这里的系统参数是指ＡＲＭＡ子波参数。如果获得高精度的ＡＲＭＡ子波参数，由极大似然反褶积所获得的反射系数序列具有较高的精度。这一结论是解释极大似然反褶积成功的关健，同时也说明极大似然反褶积具有相当高的稳健性。
Using digital simulator and synthetic seimgram, under the condition of ARMA wavelet parameters known in advance and the condition of sparse reflectivity and dense reflectivity, we have dealt with the solid property of the maximum likelihood deconvolution algorthm, and concluded that the higher the accuracy of the system parameters identified, the more accurate the reflectivity we get from MLD. Here, the system parameters mean ARMA wavelet parameters. That is if we get a high accarate ARMA wavelet parameters, we can get a high accurate reflectivity from MLD. This conclusion explains the key element of the MLD, and also points out that maximum likelihood deconvolution has a very high solid property feature.
出处
《大庆石油学院学报》
CAS
北大核心
1997年第2期9-12,共4页
Journal of Daqing Petroleum Institute
关键词
极大似然反褶积
稳健性
地震勘探
石油勘探
maximum likelihood deconvolution, solid property, digital simulator, sparse reflectivity, dense reflectivity
