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公开(公告)号:US20230258839A1
公开(公告)日:2023-08-17
申请号:US18164583
申请日:2023-02-04
Applicant: Chengdu University of Technology
Inventor: Jie ZHANG , Xuehua CHEN , Wei JIANG , Bingnan LV , Junjie LIU , Xiaomin JIANG
Abstract: A direct well-tie method for depth-domain logging and seismic data, including: removing null and outlier values from logging velocity data and logging density data to obtain valid logging velocity data and valid logging density data; calculating a logging reflection coefficient; estimating an initial zero-phase depth-domain seismic wavelet from seismic section; making a depth-domain synthetic seismogram; interpolating the depth-domain seismogram at the logging location; performing cross-correlating operation between the depth-domain synthetic seismogram and the interpolated depth-domain seismogram at the logging location; estimating a depth-domain seismic wavelet; updating the depth-domain synthetic seismogram; generating a corresponding depth deviation point set; subjecting elements in the set to interpolation to obtain a depth calibration curve; subjecting the depth calibration curve and depth axis to addition to obtain depth axis; generating a logging depth-seismic depth corresponding relationship and a depth-domain seismic wavelet.
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公开(公告)号:US20210199830A1
公开(公告)日:2021-07-01
申请号:US17133649
申请日:2020-12-24
Applicant: Chengdu University of Technology
Inventor: Xuehua CHEN , Jie ZHANG , He XU , Wei JIANG , Xin LUO
IPC: G01V1/36
Abstract: A method of low-frequency seismic data enhancement for improving the characterization precision of a deep carbonate reservoir includes: first performing inversions on an input seismic data set to obtain the corresponding reflection coefficients and average seismic wavelet; then constructing a seismic wavelet with rich low-frequency information; and finally, performing convolution on the seismic wavelet with rich low-frequency information and the reflection coefficients to obtain seismic data with rich low-frequency information and enhanced low-frequency energy. In the present invention, changes of the seismic data in a work area in transverse and longitudinal directions are taken into consideration, and processing parameters can be quickly determined according to actual conditions of the work area to obtain an optimal processing effect. In this way, the characterization quality of geological anomalies, such as a fault, a fracture system, or the like, in a deep carbonate reservoir can be improved significantly.
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公开(公告)号:US20200158900A1
公开(公告)日:2020-05-21
申请号:US16690050
申请日:2019-11-20
Applicant: Chengdu University of Technology
IPC: G01V1/30
Abstract: The invention relates to petroleum seismic exploration, and more specifically to a method for gas-bearing reservoir characterization using logging information. In the method, logging information is used as a constraint to indirectly characterize the distribution range of the gas-bearing reservoir by determining the upper and lower boundaries. In addition, this method enables the automatic determination of the optimal calculation parameters according to the characteristics of input data, allowing for more accurate results.
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公开(公告)号:US20190277993A1
公开(公告)日:2019-09-12
申请号:US16264662
申请日:2019-01-31
Applicant: Chengdu University of Technology
Inventor: Xuehua CHEN , Shuaishuai JIANG , Jie ZHANG , Wei JIANG , Bingnan LV
IPC: G01V1/50
Abstract: A method for estimating the depth-domain seismic wavelets from depth-domain seismic data and synthesizing depth-domain seismic records. The method includes: obtaining depth coordinates and P-wave velocity v and density from well log, calculating a corresponding reflectivity series r; performing constant-velocity depth conversion for a seismic trace S and a reflectivity series r by using a velocity v, as a reference velocity to obtain the converted seismic trace S1 and the converted reflectivity series r1; and estimating a depth-domain seismic wavelet w based on the Gibbs sampling method; synthesizing depth-domain seismic record by using the P-wave v, the reflectivity series r and the estimated depth-domain seismic wavelet w.
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