The Applied Research Of High-precision Processing About Complex Engineering Seismic Prospecting

Engineering seismic prospecting is developed on the basis of seismic explorationfor oil and gas，and many data processing technologies of it are also evolved from theseismic exploration of oil and gas fields. However, because the objects of engineeringseismic eprospecting are special,and demand high precision, there are a number ofdifferences between engineering seismic prospecting and seismic exploration for oiland gas on data processing methods and processes. This article is intended primarilyfor the characteristic of engineering seismic prospecting data, and designs thecorresponding high-precision engineering seismic data processing methods. Thesemethods include high precision dynamic and static correction processing, statisticalspeed analysis of the related phase, dynamics wavelet deconvolution,two-dimensional filter in F-K domain for surface wave, the F-X domain predictionof noise reduction technology, F-K domain wave equation migration processing andso on. The quantitative study on the characteristics of finite difference migration wavefield is also conducted in this article. The method validation and the effect analysis areconducted by processing of the theoretical numerical modeling and engineeringseismic data.In the theory model experiment，the high precision dynamic and static correctionprocessing, statistical speed analysis of the related phase, the F-X domain predictionof noise reduction technology and F-K domain wave equation migration processingare verified and analysed by bending interface model. And then, the dynamics waveletdeconvolution is verified and analysed by Multi-level interface model. Finally, thetwo-dimensional filter in F-K domain for surface wave is verified and analysed by tiltinterface model model. The experimental results show that, high precision dynamicand static correction can effectively improve the seismic signals continuity, whileachieve the correcion purpose; the statistical speed analysis of the related phase isclearly superior to speed analysis by superposed energy and similarity coefficientmethod not only in terms of speed of resolution and temporal resolution, but also interms of noise immunity, but it’s low computational efficiency is a barrier for it toapplly in practice and further study; the F-X domain prediction of noise reduction technology has better noise reduction effect in high noise environments, and weakensthe effectively signal less; the F-k domain wave equation migration can make bendinginterface get a better return, but the frequency dispersion leads a certain impact onthe image; the dynamics wavelet deconvolution can compress seismic Waveleteffectively, and improve the vertical resolution of seismic profile; thetwo-dimensional filter in F-K domain can effectively eliminate event which hasdifferent speed by designing filter factor.In the processing of engineering seismic data, the effect analysis of practicalapplication on the F-k domain wave equation migration and the two-dimensional filterin F-K domain. The experimental results show that,the F-k domain wave equationmigration can make interface get a better return in seismic profile; thetwo-dimensional filter in F-K domain can effectively suppress the surface waves inactual seismic profile, and highlight the effective reflection signals.