Software Integration And Optimization Of Cross-well Seismic Data Processing

The technology of cross-well seismic is a new geophysical technology, It can improve the quality of surface seismic reflection profile, enhance the resolution of shallow seismic exploration and determine the shallow’s fine structure, it also can provide basis for reservoir static and dynamic description. There are already some relatively sophisticated systems, but most of cross-well seismic data processing borrowed surface seismic and VSP processing techniques.The records acquired in cross-well seismic are quite complex. We first analyze the wave field, and basing on this, we research the processing flow of cross-well seismic, perfected the principle and methods of cross-well seismic feature processing module. Secondly, optimize and improve the algorithm of cross-well acoustic reverse time migration imaging, study the mechanism of the low-frequency noise, and remove the low-frequency noise by laplacian filter, discuss and analyze the effects of the velocity field on the reverse time migration imaging, including change the fractured abnormal body position, size and other factors; Thirdly, optimize and improve the existing algorithms, research the wave field separation algorithm based on Radon transform, including the up-going and down-going wave field separation and tube wave filtering, analyze the spatial aliasing which produced in Radon transform by control the value of p and the sampling interval; Finally, in accordance with standard reservoir geophysics software systems for system development, the preparation of the corresponding input and output interfaces, interface requirements in accordance with the parameters of the card and workflow are two ways to write, and install it onto cross-well seismic processing system platform.Based on the Cross-well seismic processing software platform, we have a test on model and the actual data, the results show that the software platform can complete a set of processing, including preprocessing and conventional processing and reflection imaging, and has made good results, which has significant theoretical value and practical application value.