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Several Aspects Of Quality Control In Seismic Inversion

Posted on:2016-08-27Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZouFull Text:PDF
GTID:2180330482976751Subject:Oil and gas engineering
Abstract/Summary:PDF Full Text Request
Seismic wave impedance inversion has been developed and improved for many years as a core technology for reservoir prediction. The reliability of the inversion results is always doubtful for geologists due to non-uniqueness of inversion. The article takes sparse spike inversion which is widely used in reservoir prediction as an example. On the basis of a comprehensive understanding of principle of the method, the main factors affecting inversion results effect and quality control are analyzed to improve the reliability of the inversion results.For input data, this paper mainly study the following aspects:(1) using large-time-window root-mean-square amplitude to analyze the acquisition footprint suppression effect of seismic data; (2) analyzing the distortion of well logging data imposed by hole-wall collapsing or other environment factors influence and utilizing multiple regression method to calibrate it; (3) multi-wells consistency analysis and standardizing processing.Then, through study of the detail T-D relationship and wavelet extraction in well-to-seismic calibration process, the error between seismic velocity and well-logging velocity is calibrated to optimize the T-D relationship so that the reflection interfaces match well each other. Moreover, Multi-parameter optimization method is used to obtain the optimal wavelet to make sure that the comprehensive wavelet tends to be rational in wavelet extraction. Finally, low-frequency model, relative impedance section and absolute impedance section are compared to extract the pseudo-impedance curve of blind well which is eventually compared with real impedance curve to provide quality control of inversion results.This method can effectively reduce non-uniqueness of inversion and provides insights into obtaining high resolution inversion results for reservoir prediction.
Keywords/Search Tags:Wave impedance inversion, Sparse spike inversion, Multiple regression, Well-to-seismic calibration, Wavelet extraction
PDF Full Text Request
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