Shearlet-domain consistency processing method based on statistical distribution for multi-survey data
TIAN Kun1, WANG Deying2, LIU Libin1, WANG Yanguang1, WANG Changbo1, ZHANG Xuetao1
1. Geophysical Research Institute, SINOPEC Shengli Oilfield Company, Dongying, Shandong 257022, China;
2. College of Earth Science and Engineering, Shandong University of Science and Technology, Qing-dao, Shandong 266590, China
Abstract：A relatively accurate time-space-varying consistency correction factor is the key to improving the quality of multi-survey data processing. At present,the commonly used consistency processing methods for multi-survey data mainly include the deconvolution parameter adjustment method and the matched filtering method. Although these methods have achieved certain application results,they still fail to meet the needs of refined consistency processing of multi-survey data due to their lack of time-space-varying processing ability,susceptibility to noise disturbance,and poor stability. To solve this problem,this paper proposes a Shearlet-domain consistency processing method based on the statistical distribution for multi-survey data. Specifically,the multi-survey data are transformed into Shearlet-domain,and the time-varying mean and mean square deviation at different scales and in different directions are estimated by the Alpha-trim mean filtering method. Subsequently,a certain amount of data are selected in the exploration area with relatively high data quality,and the statistical time-varying mean and mean square deviation are calculated in Shearlet-domain to serve as the target model. Then,the temporal and spatial low-frequency trends of the mean and mean square deviation of the data to be processed are extracted in the Shearlet-domain,and the time-space-varying correction factors of the mean and the mean square deviation are calculated with the extracted low-frequency trends and the target model. Finally,the data to be processed are corrected with the time-space-varying correction factors to obtain the results of multi-survey data consistency processing. Model-based tentative calculation and field data processing are conducted to verify this method. The results show that the proposed method deserves practical application as it can effectively eliminate the differences among multi-survey data in amplitude,frequency,and space,and it has favorable stability in noisy environments.
田坤, 王德营, 刘立彬, 王延光, 王常波, 张学涛. 基于统计分布的Shearlet域连片数据一致性处理方法[J]. 石油地球物理勘探, 2022, 57(4): 828-837,869.
TIAN Kun, WANG Deying, LIU Libin, WANG Yanguang, WANG Changbo, ZHANG Xuetao. Shearlet-domain consistency processing method based on statistical distribution for multi-survey data. Oil Geophysical Prospecting, 2022, 57(4): 828-837,869.
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