Device and method for weighted sparse inversion for seismic processing
AssigneeCgg Services SAS
InventorGordon POOLE
Life of this patent
Estimating the term…
Abstract
Computing device, computer instructions and method for processing input seismic data d. The method includes receiving the input seismic data d recorded in a data domain, solving a linear inversion problem constrained by input seismic data d to obtain a model domain and its energy, wherein the linear inversion problem is dependent on sparseness weights that are simultaneously a function of both time and frequency, reverse transforming the model domain energy to the data domain, and generating an image of a surveyed subsurface based on the reverse transformed model domain energy.
Claims20
A method for processing input seismic data d, the method comprising:
- receiving the input seismic data d recorded in a data domain;
- solving a linear inversion problem constrained by input seismic data d to obtain a model domain and its energy, wherein the linear inversion problem is dependent on sparseness weights that are simultaneously a function of both time and frequency;
- reverse transforming the model domain energy to the data domain;
- and
- generating an image of a surveyed subsurface based on the reverse transformed model domain energy.
A computing device for processing input seismic data d, the computing device comprising:
- an interface that receives the input seismic data d recorded in a data domain;
- and
- a processor connected to the interface and configured to,
- solve a linear inversion problem constrained by input seismic data d to obtain a model domain and its energy, wherein the linear inversion problem is dependent on sparseness weights that are simultaneously a function of both time and frequency,
- reverse transform the model domain energy to the data domain, and generate an image of a surveyed subsurface based on the reverse transformed model domain energy.
A non-transitory computer readable medium storing executable codes which, when executed on a computer, makes the computer perform a method for processing input seismic data d, the instructions comprising:
- receiving the input seismic data d recorded in a data domain;
- solving a linear inversion problem constrained by input seismic data d to obtain a model domain and its energy, wherein the linear inversion problem is dependent on sparseness weights that are simultaneously a function of both time and frequency;
- reverse transforming the model domain energy to the data domain;
- and
- generating an image of a surveyed subsurface based on the reverse transformed model domain energy.
Dependencies are inferred from the claim text.