Static engine and neural network for a cognitive reservoir system
US-2024036231-A1 · Feb 1, 2024 · US
US9348059B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9348059-B2 |
| Application number | US-201313953244-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 29, 2013 |
| Priority date | Jun 3, 2013 |
| Publication date | May 24, 2016 |
| Grant date | May 24, 2016 |
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Techniques are disclosed relating to forward and inverse modeling of geophysical formations using interpolation. In one embodiment, a method includes generating a system of equations based on a background model that describes a geophysical formation. In this embodiment, the method also includes generating a first set of solutions for the system of equations using an initial set of base points from geophysical survey data obtained from the geophysical formation and interpolating, using the first set of solutions, to produce a set of solution approximations for a second set of data points from the geophysical survey data. In this embodiment, the method also includes generating a model of the geophysical formation, using the second set of data points and the set of solution approximations, where the model includes a second set of solutions for the system of equations.
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What is claimed is: 1. A method, comprising: a computing system receiving a system of equations based on a background model, wherein the background model describes a geophysical formation; the computing system generating a first set of solutions for the system of equations using an initial set of base points from geophysical survey data obtained from the geophysical formation; the computing system interpolating, using the first set of solutions, to produce a set of solution approximations for a second set of data points from the geophysical survey data; and the computing system generating a model of the geophysical formation, using the second set of data points and the set of solution approximations, wherein the model includes a second set of solutions for the system of equations. 2. The method of claim 1 , further comprising: determining that a difference between the second set of solutions and the set of solution approximations is greater than a threshold difference; and based at least in part on the determining, adjusting a parameter space distance between another initial set of base points from the geophysical survey data. 3. The method of claim 1 , wherein the system of equations has a plurality of variables including shot points and source frequencies. 4. The method of claim 1 , wherein the system of equations has a plurality of variables including model parameters, and wherein generating the second set of solutions is associated with generating an inversion model. 5. The method of claim 4 , wherein the model parameters are selected from the group consisting of: conductivity parameters, porosity parameters, permeability parameters, and saturation parameters. 6. The method of claim 1 , wherein the geographical survey data is generated by one or more survey types selected from the group consisting of: a seismic geophysical survey, an electromagnetic survey, a seismoelectric survey, and a gravity survey. 7. The method of claim 1 , further comprising: adjusting a parameter space distance between initial base points based at least in part on computation time taken to generate the second set of solutions. 8. A non-transitory computer-readable storage medium having instructions stored thereon that are executable by a computing device to perform operations comprising: receiving a system of equations that describe a geophysical formation, wherein the system of equations has a plurality of dimensions; generating a first set of solutions for the system of equations using a set of base points from geophysical survey data obtained from the geophysical formation; interpolating, using the first set of solutions, to produce a set of solution approximations for a second set of data points from the geophysical survey data; and generating a second set of solutions for the system of equations using the second set of data points and the set of solution approximations. 9. The non-transitory computer-readable storage medium of claim 8 , wherein the operations further comprise: determining that a difference between the second set of solutions and the set of solution approximations is greater than a threshold difference; and selecting, in response to the determining, another set of base points that are closer to each other in at least one dimension than the set of base points. 10. The non-transitory computer-readable storage medium of claim 9 , wherein the operations further comprise: determining the threshold difference based on computation time taken to generate the first set of solutions and computation time taken to generate the second set of solutions using the set of solution approximations. 11. The non-transitory computer-readable storage medium of claim 9 , wherein the another set of base points defines a smaller partition that does not overlap with a partition defined by the set of base points. 12. The non-transitory computer-readable storage medium of claim 8 , wherein the geophysical survey data has a plurality of dimensions including shot points and source frequencies. 13. The non-transitory computer-readable storage medium of claim 8 , wherein the system of equations has a plurality of dimensions, wherein one of the plurality of dimensions is a model parameter, and wherein two or more base points of the set of base points have different model parameters. 14. The non-transitory computer-readable storage medium of claim 13 , wherein the model parameters are conductivity parameters. 15. The non-transitory computer-readable storage medium of claim 8 , wherein the geophysical survey data includes data generated by an electromagnetic geophysical survey. 16. The non-transitory computer-readable storage medium of claim 8 , wherein one of the set of base points is a same data point as one of the second set of data points. 17. The non-transitory computer-readable storage medium of claim 8 , wherein the system of equations is based on an integral equation technique and wherein the base points lie within an anomalous portion of the geophysical formation relative to a background model. 18. A method of geophysical data processing, comprising: obtaining geophysical data specific to a subsurface geophysical formation; a computing system determining a plurality of model parameters for a model of the subsurface geophysical formation; the computing system solving a system of equations using a set of initial base points from the geophysical data, wherein the set of initial base points includes points with different shot points and different model parameters, wherein the solving generates a first set of solutions; the computing system interpolating between the first set of solutions to produce a set of solution approximations for a second set of points from the geophysical data; and the computing system generating a model of the subsurface geophysical formation, using the second set of data points and the set of solution approximations, wherein the model includes a second set of solutions for the system of equations. 19. The method of claim 18 , wherein obtaining geophysical data comprises at least one of conducting a geophysical survey or accessing data from a geophysical survey. 20. The method of claim 18 , wherein the interpolating includes interpolating in a plurality of dimensions in a solution space having at least two dimensions. 21. A method of generating a geophysical data product, the method comprising: a computing system receiving a system of equations based on a background model, wherein the background model describes a geophysical formation; the computing system generating a first set of solutions for the system of equations using an initial set of base points from geophysical survey data obtained from the geophysical formation; the computing system interpolating, using the first set of solutions, to produce a set of solution approximations for a second set of data points from the geophysical survey data; the computing system generating a model of the geophysical formation . . . for the system of equations; and the computing system recording the geophysical data product on a tangible, non-volatile computer-readable medium suitable for importing onshore, wherein the geophysical data product includes data specifying the generated model. 22. The method of claim 21 , further comprising performing geophysical analysis onshore on the data product.
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