Abstract:In wavelet processing of acoustic impedance technique, according to the least square principle and in the case of limited window, the deconvolution operator can be obtained by solving a real symmetric matrix equation system instead of the habitually used Toeplita matrix equation system, The theoretical analysis sad data processing example lead to the conclusion, is Toeplita matrix algorithm, original data can not be fully used due to truncating, and slope processing makes distortional the original data at the both ends of (Mo, M1); therefore, the accuracy of coefficient matrix and constant matrix can not be easnred.When the real symmetric matrix algorithm is used to solve for deconvolution operato:, slope processing is unnecessary so that higher data utilization rate and higher data reliability can be taken, and obtained deconvolution operator is better than that taken by Toeplitz algorithm. The real symmetric matrix algorithm needs more internal storage and more computation time than Toeplitz matrix algorithm does; however, we still think it worthy to take more computation time for a better deconvolution operator.
收稿日期: 1985-09-02
引用本文:
夏洪瑞. 声阻抗处理中反褶积因子的计算[J]. 石油地球物理勘探, 1986, 21(5): 532-539.
Xia Hongrui. The calculation of deconvolution operator in acoustic impedance processing. OGP, 1986, 21(5): 532-539.