The Optimizing Processing Of Pre-stack Gathers And Reservoir Characterization Based On The Pre-stack Data

With the development of seismic technology,it is more and more important how to improve the rate of success in the complex and subtle reservoir exploration.The role of the description of reservoir characteristics becomes much more important by using the integrated interpretation of pre-stack seismic data to reservoir fluid identification.The useful information in seismic data can be acquired in this way.Besides,the improvement of the accuracy of reservoir fluid type identification can effectively reduce the risk and costs of exploration and development.The quality of Pre-stack CRP gathers is directly related to the accuracy and reliability of the Pre-stack inversion and AVO analysis results.However in the practical work,because the influence of seismic acquisition conditions,observation system,noise interference,lateral stratigraphic anisotropy and the target of conventional treatment process is not strong,if the CRP gathers that obtained by conventional Pre-stack time migration processing set directly for AVO analysis or Pre-stack inversion,resulting in AVO characteristic is not obvious and AVO attribute analysis and Pre-stack inversion is ineffective which will serious impact on the quality of reservoir prediction and the quality of hydrocarbon detection.Therefore,it is necessary to carry out a series of targeted optimization according to the actual data before AVO analysis and Pre-stack inversion.In this paper,building a optimization process to optimize the real data,and optimizing the Pre-stack CRP gathers in the premise of preserving amplitude,and the influence of various gather optimization techniques and processes on the AVO anomaly is analyzed.Author used the analysis of pre-stack traces,property and pre-stack simultaneous inversion to make sure the gas-bearing response type.Pre-stack simultaneous inversion can get the P-impedance and S-impedance.And then,some other elastic parameter property body by analysis of gas-bearing of distribution.In addition,build ing more responsive to the fluid factor property to direct detection of oil and gas is a way that people have been trying.I propose and construct a new fluid identification factor and discuss its effectiveness.This new fluid factor which has been demonstrated good fluid detection based on facial recognition capabilities,has some practical value.In a word,the study about gas-bearing reservoir in this paper is to use pre-stack seismic data analysis of the existence of gas reservoir and its seismic responses of the gas type,gas plane distribution,and application of this method in the actual data,provide a reliable basis for the actual production projects.