System and method for seismic imaging of subsurface volumes including complex geology
AssigneeChevron U.S.A. Inc.
InventorEnning Wang
Life of this patent
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Abstract
A method is described for seismic imaging including image enhancement using a trained neural network. The neural network may receive training pairs of low signal-to-noise ratio 3D seismic images and high signal-to-noise ratio 3D seismic images; train a neural network on the training pairs wherein the training uses atrous convolution; receive a seismic image representative of a subsurface volume of interest; apply the neural network to the seismic image to generate a second seismic image; and display the second seismic image on a graphical user interface. The method is executed by a computer system.
Claims18
A computer-implemented method of seismic imaging, comprising:
- a. receiving training pairs of low signal-to-noise ratio 3D seismic images and high signal-to-noise ratio 3D seismic images;
- b. training a neural network on the training pairs wherein the training uses atrous convolution;
- c. receiving a seismic image representative of a subsurface volume of interest;
- d. applying the neural network to the seismic image to generate a second seismic image;
- and
- e. displaying the second seismic image on a graphical user interface.
A computer system, comprising:
- one or more processors;
- memory;
- and
- one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions that when executed by the one or more processors cause the system to:
- a. receive training pairs of low signal-to-noise ratio 3D seismic images and high signal-to-noise ratio 3D seismic images;
- b. train a neural network on the training pairs wherein the training uses atrous convolution;
- c. receive a seismic image representative of a subsurface volume of interest;
- d. apply the neural network to the seismic image to generate a second seismic image;
- and
- e. display the second seismic image on a graphical user interface.
A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by an electronic device with one or more processors and memory, cause the device to:
- a. receive training pairs of low signal-to-noise ratio 3D seismic images and high signal-to-noise ratio 3D seismic images;
- b. train a neural network on the training pairs wherein the training uses atrous convolution;
- c. receive a seismic image representative of a subsurface volume of interest;
- d. apply the neural network to the seismic image to generate a second seismic image;
- and
- e. display the second seismic image on a graphical user interface.
Dependencies are inferred from the claim text.