Abstract: The disclosed technology is generally directed to the processing of parallel computing jobs. In one example of the technology, for at least a first cluster of virtual machines that is assigned to a job, an initial assignment of at least one virtual machine to a parallel-computing job is made. Workers are assigned to tasks associated with the job. Upon failure of a task by one of assigned workers, the failed task is re-submitted. Upon detecting the failure of one of the workers assigned to the job, the failed worker is replaced with a replacement worker. Work associated with the failed worker is re-allocated to the replacement worker. Responsive to removal of a virtual machine assigned to the job, a new virtual machine is assigned to the job. Outputs are provided from the assigned workers.

Abstract: The disclosed technology is generally directed to carbon capture and storage. In one example of the technology, a first neural network is trained with synthetic data that is associated with seismic images of synthetic simulated subsurfaces. The first neural network extracts features from multiple resolutions of the seismic images of the synthetic simulated subsurfaces. The ground truth includes synthetic labels that indicate probabilities of potential carbon dioxide leakage pathways of the synthetic simulated subsurfaces. A seismic image of a first subsurface is received. At least the trained first neutral network is used to generate output labels that indicate probabilities of potential leakage pathways of carbon dioxide storage of the first subsurface.

Abstract: A tangible, non-transitory computer-readable medium configured to store instructions executable by a processor of an electronic device to access a beam migration image of a subsurface target. In addition, the computer-readable medium is configured to store instructions executable by a processor of an electronic device to determine a decomposition criteria based on at least one of subsurface dip inclinations, subsurface dip azimuths, or a combination thereof. Further, the computer-readable medium is configured to store instructions executable by a processor of an electronic device to decompose the beam migration image into a plurality of partial images according to the decomposition criteria to provide various views of the subsurface target. The plurality of partial images are usable by seismic interpreters in exploration for hydrocarbons within the subsurface target.

Abstract: A method includes receiving image data that is to be recognized by the at least one neural network. The image data is representative of a fault within a subsurface volume. The image data includes three-dimensional synthetic data. The method also includes generating an output via the at least one neural network based on the received image data. The method also includes comparing the output of the at least one neural network with a desired output; and modifying the neural network so that the output of the neural network corresponds to the desired output.

Abstract: A tangible, non-transitory computer-readable medium configured to store instructions executable by a processor of an electronic device to access a beam migration image of a subsurface target. In addition, the computer-readable medium is configured to store instructions executable by a processor of an electronic device to determine a decomposition criteria based on at least one of subsurface dip inclinations, subsurface dip azimuths, or a combination thereof. Further, the computer-readable medium is configured to store instructions executable by a processor of an electronic device to decompose the beam migration image into a plurality of partial images according to the decomposition criteria to provide various views of the subsurface target. The plurality of partial images are usable by seismic interpreters in exploration for hydrocarbons within the subsurface target.

Abstract: A method for aligning a plurality of seismic images associated with a subsurface region of the Earth may include receiving the seismic images and determining a first respective relative shift volume between a first seismic image and a second seismic image, a second respective relative shift volume between the first seismic image and a third seismic image, and a third respective relative shift volume between the second seismic image and the third seismic image. The method may include determining a first shift volume associated with the first seismic image and a second shift volume associated with the second seismic image based on the first, second, and third respective relative shift volumes. The method may then apply the first shift volume to the first seismic image and the second shift volume to the second seismic image.

Abstract: According to one embodiment, subsurface ray directions in beam migration or subsurface wave propagation directions in reverse time migrations are used to obtain additional Specular Filter (SF) and Dip Oriented Partial Imaging (DOPI) images. SF migration applies a specular imaging condition during migration with a pre-specified subsurface dip field. It boosts the S/N ratio in both images and gathers, by effectively removing migration noise. DOPI images are produced by decomposing a standard migration image according to subsurface dip inclination or/and dip azimuth groups, providing various views of the subsurface image. Both SF and DOPI migration images can supply valuable additional information compared to a standard migration image, and they can be efficiently generated during migration.

Abstract: A method for determining a displacement seismic image between two seismic images may begin with receiving a first seismic image and a second seismic image. The method may then include generating a first scaled image based on the first seismic image and a second scaled image based on the second seismic image and determining a scaled displacement volume between the two scaled images using an optical flow algorithm. The method may then involve calculating a displacement volume based on the scaled displacement volume and a scaling function used to generate the scaled images. The method may then generate a third seismic image by applying the displacement volume to the second seismic image. The method may then involve determining the difference volume between the first seismic image and the third seismic image.

Abstract: A method for aligning a plurality of seismic images associated with a subsurface region of the Earth may include receiving the seismic images and determining a first respective relative shift volume between a first seismic image and a second seismic image, a second respective relative shift volume between the first seismic image and a third seismic image, and a third respective relative shift volume between the second seismic image and the third seismic image. The method may include determining a first shift volume associated with the first seismic image and a second shift volume associated with the second seismic image based on the first, second, and third respective relative shift volumes. The method may then apply the first shift volume to the first seismic image and the second shift volume to the second seismic image.

Abstract: A method for determining a displacement seismic image between two seismic images may begin with receiving a first seismic image and a second seismic image. The method may then include generating a first scaled image based on the first seismic image and a second scaled image based on the second seismic image and determining a scaled displacement volume between the two scaled images using an optical flow algorithm. The method may then involve calculating a displacement volume based on the scaled displacement volume and a scaling function used to generate the scaled images. The method may then generate a third seismic image by applying the displacement volume to the second seismic image. The method may then involve determining the difference volume between the first seismic image and the third seismic image.

Abstract: According to one embodiment, subsurface ray directions in beam migration or subsurface wave propagation directions in reverse time migrations are used to obtain additional Specular Filter (SF) and Dip Oriented Partial Imaging (DOPI) images. SF migration applies a specular imaging condition during migration with a pre-specified subsurface dip field. It boosts the S/N ratio in both images and gathers, by effectively removing migration noise. DOPI images are produced by decomposing a standard migration image according to subsurface dip inclination or/and dip azimuth groups, providing various views of the subsurface image. Both SF and DOPI migration images can supply valuable additional information compared to a standard migration image, and they can be efficiently generated during migration.

Abstract: According to one embodiment, subsurface ray directions in beam migration or subsurface wave propagation directions in reverse time migrations are used to obtain additional Specular Filter (SF) and Dip Oriented Partial Imaging (DOPI) images. SF migration applies a specular imaging condition during migration with a pre-specified subsurface dip field. It boosts the S/N ratio in both images and gathers, by effectively removing migration noise. DOPI images are produced by decomposing a standard migration image according to subsurface dip inclination or/and dip azimuth groups, providing various views of the subsurface image. Both SF and DOPI migration images can supply valuable additional information compared to a standard migration image, and they can be efficiently generated during migration.

Abstract: According to one embodiment, subsurface ray directions in beam migration or subsurface wave propagation directions in reverse time migrations are used to obtain additional Specular Filter (SF) and Dip Oriented Partial Imaging (DOPI) images. SF migration applies a specular imaging condition during migration with a pre-specified subsurface dip field. It boosts the S/N ratio in both images and gathers, by effectively removing migration noise. DOPI images are produced by decomposing a standard migration image according to subsurface dip inclination or/and dip azimuth groups, providing various views of the subsurface image. Both SF and DOPI migration images can supply valuable additional information compared to a standard migration image, and they can be efficiently generated during migration.