1. Geophysical Exploration and Development Company,Shengli Petroleum Administration,SINOPEC,Dongying City, Shandong Province, 257086, China;
2. College of Earth Resource and Information, China University of Petroleum, Dongying City, Shandong Province, 257061, China
Abstract:Reducing bin size and increasing spatial sampling rate are one of important means for improving resolution. Taking high-resolution acquisition in Yongxin area as an example, the paper analyzed the computational way of current seismic acquisition density index; on the basis of introducing the data quality acquired in the area, analyzed the relationship among bin size, folds and data quality in combination of theoretical analysis with practical data. It is considered by correlation of data quality acquired by different bin array pattern that it is appropriate to use 10m×10m bin size in an area of high-resolution acquisition and to select10m×10m, 15m×15m and 25m×25m bin size for indoor processing of shallow, mid and deep layer respectively.