Amplitude compensation of reverse time migration (rtm) gathers for avo/ava analysis
US-2018275302-A1 · Sep 27, 2018 · US
US10670755B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10670755-B2 |
| Application number | US-201815943513-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 2, 2018 |
| Priority date | Apr 2, 2018 |
| Publication date | Jun 2, 2020 |
| Grant date | Jun 2, 2020 |
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Systems and methods for refining estimated effects of parameters on amplitudes are disclosed. Exemplary implementations may: (a) obtain ranges of parameter values for individual parameters within a subsurface region of interest; (b) generate a first model of the subsurface region of interest; (c) calculate a synthetic seismogram from the first model to determine corresponding amplitudes; (d) store results of applying the synthetic seismogram; (e) repeat steps (b)-(d) for multiple additional models; (f) obtain a subsurface distribution; (g) apply the subsurface distribution to the multiple models and the corresponding amplitudes; (h) generate a representation; and (i) display the representation.
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What is claimed is: 1. A computer-implemented method for refining estimated effects of parameters on amplitudes, the method being implemented in a computer system, the computer system including one or more physical computer processors and non-transient electronic storage, the method comprising: (a) obtaining ranges of parameter values for individual parameters within a subsurface region of interest, wherein a range of parameter values for a given parameter constrains parameter values as a function of position on, or around, a given feature of interest within a given subsurface region of interest; (b) generating a first model of the subsurface region of interest that defines the parameter values of the parameters as a function of position within the subsurface region of interest; (c) calculating a synthetic seismogram at angles of interest from the first model corresponding to a feature of interest within the subsurface region of interest to determine corresponding amplitudes; (d) storing results of calculating the synthetic seismogram in an electronic storage; (e) repeating steps (b)-(d) for multiple additional models, wherein parameter values for a second model of the subsurface region of interest have different parameter values for the multiple parameters than the first model; (f) obtaining, from the electronic storage, a subsurface distribution; (g) applying the subsurface distribution to the multiple models and the corresponding amplitudes to refine an estimated effect the parameters have on the corresponding amplitudes; (h) generating a representation indicating the refined effect the parameters have on the corresponding amplitudes; and (i) displaying, on a graphical user interface, the representation. 2. The computer-implemented method of claim 1 , wherein generating the multiple models comprises sampling individual parameter values within the obtained ranges of parameter values for individual parameters. 3. The computer-implemented method of claim 1 , wherein applying the subsurface distribution to the multiple models and the corresponding amplitudes to refine an estimated effect the parameters have on the corresponding amplitudes comprises determining changes to the amplitudes in response to changes to individual parameter values of the multiple models. 4. The computer-implemented method of claim 1 , wherein the obtained ranges of parameter values are derived from actual data. 5. The computer-implemented method of claim 1 , wherein the amplitudes are a function of the parameters. 6. The computer-implemented method of claim 1 , wherein the subsurface distribution comprises a marginal distribution. 7. The computer-implemented method of claim 1 , wherein the representation depicts an order to the individual parameters by a magnitude of the refined effect the individual parameters have on the corresponding amplitudes. 8. A system configured to refine estimated effects of parameters on amplitudes, the system comprising: electronic storage; a graphical user interface; and one or more physical computer processors configured by machine-readable instructions to: (a) obtain ranges of parameter values for individual parameters of a subsurface region of interest, wherein a range of parameter values for a given parameter constrains parameter values as a function of position on, or around, a given feature of interest within a given subsurface region of interest; (b) generate a first model of the subsurface region of interest that defines the parameter values of the parameters as a function of position within the subsurface region of interest; (c) calculate a synthetic seismogram at angles of interest from the first model corresponding to a feature of interest within the subsurface region of interest to determine corresponding amplitudes; (d) store results of calculating the synthetic seismogram in the electronic storage; (e) repeat steps (b)-(d) for multiple additional models, wherein the parameter values for a second model of the subsurface region of interest have different parameter values for the multiple parameters than the first model; (f) obtain, from the electronic storage, a subsurface distribution; (g) apply the subsurface distribution to the multiple models and the corresponding amplitudes to refine an estimated effect the parameters have on the corresponding amplitudes; (h) generate, on the one or more physical computer processors, a representation indicating the refined effect the parameters have on the corresponding amplitudes; and (i) display, on a graphical user interface, the representation. 9. The system of claim 8 , wherein generating the multiple models causes the one or more physical computer processors configured by machine-readable instructions to sample individual parameter values within the obtained ranges of parameter values for individual parameters. 10. The system of claim 8 , wherein applying the subsurface distribution to the multiple models and the corresponding amplitudes to refine an estimated effect the parameters have on the corresponding amplitudes causes the one or more physical computer processors configured by machine-readable instructions to determine changes to the amplitudes in response to changes to individual parameter values of the multiple models. 11. The system of claim 8 , wherein the obtained ranges of parameter values are derived from actual data. 12. The system of claim 8 , wherein the amplitudes are a function of the parameters. 13. The system of claim 8 , wherein the subsurface distribution comprises a marginal distribution. 14. The system of claim 8 , wherein the representation depicts an order to the individual parameters by a magnitude of the refined effect the individual parameters have on the corresponding amplitudes. 15. A non-transitory computer-readable medium including instructions that, when executed by one or more physical computer processors, cause the one or more physical computer processors to refine estimated effects of parameters on amplitudes by performing the steps of: (a) obtaining ranges of parameter values for individual parameters of a subsurface region of interest, wherein a range of parameter values for a given parameter constrains parameter values as a function of position on, or around, a given feature of interest within a given subsurface region of interest; (b) generating a first model of the subsurface region of interest that defines the parameter values of the parameters as a function of position within the subsurface region of interest; (c) calculating a synthetic seismogram at angles of interest from the first model corresponding to a feature of interest within the subsurface region of interest to determine corresponding amplitudes; (d) storing results of calculating the synthetic seismogram in the electronic storage; (e) repeating steps (b)-(d) for multiple additional models, wherein the parameter values for a second model of the subsurface region of interest have different parameter values for the multiple parameters than the first model; (f) obtaining, from the electronic storage, a subsurface distribution; (g) applying the subsurface distribution to the multiple models and the corresponding amplitudes to refine an estimated effect the parameters have on the corresponding amplitudes; (h) generating a representation indicating the refined effect the parameters have on the corresponding amplitudes; and (i) displaying, on a graphical user interface, the representation. 16. The non-transitory computer-readable medium of claim 15 , wherein generating the multiple models comprises sampling i
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