System and method for seismic amplitude analysis
US-2024125956-A1 · Apr 18, 2024 · US
US9322944B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9322944-B2 |
| Application number | US-201313900207-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 22, 2013 |
| Priority date | Mar 15, 2013 |
| Publication date | Apr 26, 2016 |
| Grant date | Apr 26, 2016 |
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One embodiment relates to a method of wavefield regularization for geophysical data acquisition of seismic geophysical data. Measured traces, are obtained from an array of sensors. For each grid point on a processing grid, best-fitting traces of the measured traces are found. Using the best-fitting traces, spectral amplitudes of down-going and up-going wavefields are computed. The down-going and up-going wavefields are subsequently transformed to an output grid in a space-time domain. Another embodiment relates to an apparatus for wavefield regularization of geophysical data acquisition. Other embodiments, aspects and features are also disclosed.
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What is claimed is: 1. A method of geophysical data acquisition and processing, the method comprising: measuring seismic traces using a seismic source and an array of sensors to perform a seismic survey; determining, for each grid point on the processing grid, a desired trace on a surface which corresponds to the array of sensors; finding, for each grid point on a processing grid, best-fitting traces of the seismic traces, wherein finding the best-fitting traces comprises minimizing a weighted sum of differences that includes differences in common mid-point distances between the best-fitting traces and the desired traces; computing spectral amplitudes of down-going and up-going wavefields using the best-fitting traces; transforming the down-going and up-going wavefields to an output grid in a space-time domain; and processing said wavefields transformed to the output grid to infer structures of earth formations below locations at which the seismic survey is performed. 2. The method of claim 1 , wherein the array of sensors is towed during the acquisition. 3. The method of claim 1 , wherein the sensors are multi-component sensors that measure both pressure and particle velocities. 4. The method of claim 1 , wherein the common mid point distances are in the in-line and cross-line directions. 5. The method of claim 4 , wherein the weighted sum of differences further includes a difference in offsets between the best-fitting traces and the desired traces. 6. The method of claim 1 further comprising: applying differential move-outs to the best-fitting traces to obtain offset-corrected traces. 7. The method of claim 6 further comprising: applying dip-based correction to the offset-corrected traces to obtain azimuth-corrected traces. 8. An apparatus for acquisition and processing of geophysical data, the apparatus comprising: a seismic source for imparting seismic energy into subterranean material formations; an array of sensors for generating signals in response to the seismic energy; a recording system for recording the signals generated by the array of sensors; and a computer apparatus comprising: memory configured to store processor-executable code and data; a processor configured to execute the computer-readable code so as to modify the data; computer-readable code for obtaining measured traces, the measured traces including traces measured using the seismic source and the array of sensors and recorded using the recording system; computer-readable code for determining, for each grid point on a processing grid, a desired trace on a surface which corresponds to the array of sensors; computer-readable code for finding, for each grid point on the processing grid, best-fitting traces of the measured traces; computer-readable code for computing spectral amplitudes of down-going and up-going wavefields using the best-fitting traces, wherein finding the best-fitting traces comprises minimizing a weighted sum of differences that includes differences in common mid-point distances between the best-fitting traces and the desired traces; and computer-readable code for transforming the down-going and up-going wavefields to an output grid in a space-time domain. 9. The apparatus of claim 8 , wherein the array of sensors comprise multi-component sensors that measure pressure and particle velocities. 10. The apparatus of claim 8 , wherein the common mid point distances are in the in-line and cross-line directions. 11. The apparatus of claim 10 , wherein the weighted sum of differences further includes a difference in offsets. 12. The apparatus of claim 8 further comprising: computer-readable code for applying differential move-outs to the best-fitting traces to obtain offset-corrected traces. 13. The apparatus of claim 12 further comprising: computer-readable code for applying dip-based correction to the offset-corrected traces to obtain azimuth-corrected traces. 14. A method of generating a geophysical data product, the method comprising: obtaining seismic traces measured using a seismic source and an array of sensors; determining, for each grid point on a processing grid, a desired trace on a surface which corresponds to the plurality of sensors; finding, for each grid point on the processing grid, best-fitting traces of the seismic traces, wherein finding the best-fitting traces comprises minimizing a weighted sum of differences that includes differences in common mid-point distances between the best-fitting traces and the desired traces; computing spectral amplitudes of down-going and up-going wavefields using the best-fitting traces; transforming the down-going and up-going wavefields to an output grid in a space-time domain; and storing said wavefields transformed to the putput grid in the geophysical data product for use in determining subsurface rock formation structures. 15. The method of claim 14 , wherein the common mid point distances are in the in-line and cross-line directions. 16. The method of claim 15 , wherein the weighted sum of differences further includes a difference in offsets.
Trace interpolation or extrapolation, e.g. for virtual receiver; Anti-aliasing for missing receivers · CPC title
for determining seismic attributes, e.g. amplitude, instantaneous phase or frequency, reflection strength or polarity · CPC title
Transforming one representation into another · CPC title
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