Reflection seismology inversion with quality control
AssigneeSchlumberger Technology Corporation
InventorsDavid Fraser Halliday, Robert Bloor
Life of this patent
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Abstract
A method can include receiving seismic data of a subsurface region; performing an iterative full waveform inversion using at least a portion of the seismic data to generate a model of the subsurface region, where the performing includes, after one or more iterations of the full waveform inversion, automatically selecting one or more parts of the seismic data for inclusion in the at least a portion of the seismic data based on data classification using one or more quality attributes; and outputting the model of the subsurface region.
Claims17
A method comprising:
- receiving seismic data of a subsurface region;
- performing an iterative full waveform inversion using at least a portion of the seismic data to generate a model of the subsurface region, wherein the performing includes, after one or more iterations of the full waveform inversion, automatically selecting one or more parts of the seismic data for inclusion in the at least a portion of the seismic data based on data classification using one or more quality attributes, wherein the one or more quality attributes include a quality attribute derived from model generated synthetic data for a sub-region and from seismic data corresponding to the sub-region, and wherein a size of the sub-region increases with respect to increasing iterations;
- and
- outputting the model of the subsurface region.
A system comprising:
- a processor;
- memory accessible by the processor;
- and
- processor-executable instructions stored in the memory that are executable to instruct the system to:
- receive seismic data of a subsurface region;
- perform an iterative full waveform inversion using at least a portion of the seismic data to generate a model of the subsurface region, wherein the performance includes, after one or more iterations of the full waveform inversion, automatic selection of one or more parts of the seismic data for inclusion in the at least a portion of the seismic data based on data classification using one or more quality attributes, wherein the one or more quality attributes include a quality attribute derived from model generated synthetic data for a sub-region and from seismic data corresponding to the sub-region, and wherein a size of the sub-region increases with respect to increasing iterations;
- and
- output the model of the subsurface region.
One or more non-transitory computer-readable storage media comprising computer-executable instructions executable to instruct a computer to:
- receive seismic data of a subsurface region;
- perform an iterative full waveform inversion using at least a portion of the seismic data to generate a model of the subsurface region, wherein the performance includes, after one or more iterations of the full waveform inversion, automatic selection of one or more parts of the seismic data for inclusion in the at least a portion of the seismic data based on data classification using one or more quality attributes, wherein the one or more quality attributes include a quality attribute derived from model generated synthetic data for a sub-region and from seismic data corresponding to the sub-region, and wherein a size of the sub-region increases with respect to increasing iterations;
- and
- output the model of the subsurface region.
Dependencies are inferred from the claim text.