Seismic tomography framework
AssigneeSchlumberger Technology Corporation
InventorGarret FLAGG
Life of this patent
Estimating the term…
Abstract
A method can include receiving seismic data from a seismic survey of a subsurface geologic environment that includes one or more reflectors; performing a model-based iterative least squares inversion of the seismic data; for at least one iteration of the model-based iterative least squares inversion, determining a value of a regularization parameter by approximating a first function representative of a residuals norm and a second function representative of a solution norm, where the first function and the second function depend on the regularization parameter; and performing a subsequent model-based iterative least squares inversion of the seismic data using the regularization parameter to determine a position of at least one of the one or more reflectors.
Claims20
A method comprising:
- receiving seismic data from a seismic survey of a subsurface geologic environment that includes one or more reflectors;
- performing a model-based iterative least squares inversion of the seismic data;
- for at least one iteration of the model-based iterative least squares inversion, determining a value of a regularization parameter by approximating a first function representative of a residuals norm and a second function representative of a solution norm, wherein the first function and the second function depend on the regularization parameter;
- and
- performing a subsequent model-based iterative least squares inversion of the seismic data using the regularization parameter to determine a position of at least one of the one or more reflectors.
A system comprising:
- a processor;
- memory operatively coupled to the processor;
- and
- processor-executable instructions stored in the memory to instruct the system to:
- receive seismic data from a seismic survey of a subsurface geologic environment that includes one or more reflectors;
- perform a model-based iterative least squares inversion of the seismic data;
- for at least one iteration of the model-based iterative least squares inversion, determine a value of a regularization parameter by approximating a first function representative of a residuals norm and a second function representative of a solution norm, wherein the first function and the second function depend on the regularization parameter;
- and
- perform a subsequent model-based iterative least squares inversion of the seismic data using the regularization parameter to determine a position of at least one of the one or more reflectors.
One or more computer-readable storage media comprising computer-executable instructions executable to instruct a computing system to:
- receive seismic data from a seismic survey of a subsurface geologic environment that includes one or more reflectors;
- perform a model-based iterative least squares inversion of the seismic data;
- for at least one iteration of the model-based iterative least squares inversion, determine a value of a regularization parameter by approximating a first function representative of a residuals norm and a second function representative of a solution norm, wherein the first function and the second function depend on the regularization parameter;
- and
- perform a subsequent model-based iterative least squares inversion of the seismic data using the regularization parameter to determine a position of at least one of the one or more reflectors.
Dependencies are inferred from the claim text.