Abstract: A method for scheduling tasks includes receiving input that was acquired using one or more data collection devices, and scheduling one or more input tasks on one or more computing resources of a network, predicting one or more first tasks based in part on the input, assigning one or more placeholder tasks for the one or more predicted first tasks to the one or more computing resources based in part on a topology of the network, receiving one or more updates including an attribute of the one or more first tasks to be executed as input tasks are executed, modifying the one or more placeholder tasks based on the attribute of the one or more first tasks to be executed, and scheduling the one or more first tasks on the one or more computing resources by matching the one or more first tasks to the one or more placeholder tasks.

Abstract: A method for scheduling tasks includes receiving input that was acquired using one or more data collection devices, and scheduling one or more input tasks on one or more computing resources of a network, predicting one or more first tasks based in part on the input, assigning one or more placeholder tasks for the one or more predicted first tasks to the one or more computing resources based in part on a topology of the network, receiving one or more updates including an attribute of the one or more first tasks to be executed as input tasks are executed, modifying the one or more placeholder tasks based on the attribute of the one or more first tasks to be executed, and scheduling the one or more first tasks on the one or more computing resources by matching the one or more first tasks to the one or more placeholder tasks.

Abstract: A method for scheduling tasks includes receiving input that was acquired using one or more data collection devices, and scheduling one or more input tasks on one or more computing resources of a network, predicting one or more first tasks based in part on the input, assigning one or more placeholder tasks for the one or more predicted first tasks to the one or more computing resources based in part on a topology of the network, receiving one or more updates including an attribute of the one or more first tasks to be executed as input tasks are executed, modifying the one or more placeholder tasks based on the attribute of the one or more first tasks to be executed, and scheduling the one or more first tasks on the one or more computing resources by matching the one or more first tasks to the one or more placeholder tasks.

Abstract: A method for scheduling tasks includes receiving input that was acquired using one or more data collection devices, and scheduling one or more input tasks on one or more computing resources of a network, predicting one or more first tasks based in part on the input, assigning one or more placeholder tasks for the one or more predicted first tasks to the one or more computing resources based in part on a topology of the network, receiving one or more updates including an attribute of the one or more first tasks to be executed as input tasks are executed, modifying the one or more placeholder tasks based on the attribute of the one or more first tasks to be executed, and scheduling the one or more first tasks on the one or more computing resources by matching the one or more first tasks to the one or more placeholder tasks.

Abstract: A method for scheduling tasks includes receiving input that was acquired using one or more data collection devices, and scheduling one or more input tasks on one or more computing resources of a network, predicting one or more first tasks based in part on the input, assigning one or more placeholder tasks for the one or more predicted first tasks to the one or more computing resources based in part on a topology of the network, receiving one or more updates including an attribute of the one or more first tasks to be executed as input tasks are executed, modifying the one or more placeholder tasks based on the attribute of the one or more first tasks to be executed, and scheduling the one or more first tasks on the one or more computing resources by matching the one or more first tasks to the one or more placeholder tasks.

Abstract: A method for scheduling tasks includes receiving input that was acquired using one or more data collection devices, and scheduling one or more input tasks on one or more computing resources of a network, predicting one or more first tasks based in part on the input, assigning one or more placeholder tasks for the one or more predicted first tasks to the one or more computing resources based in part on a topology of the network, receiving one or more updates including an attribute of the one or more first tasks to be executed as input tasks are executed, modifying the one or more placeholder tasks based on the attribute of the one or more first tasks to be executed, and scheduling the one or more first tasks on the one or more computing resources by matching the one or more first tasks to the one or more placeholder tasks.

Abstract: Systems, methods, and computer-readable media for determining a velocity model. The method includes receiving a first velocity model having a first symmetry approximation of a media of a subterranean domain, receiving seismic data representing a subterranean formation, and determining, by operation of a processor, a second velocity model having a second symmetry approximation of the media, the second symmetry approximation being less symmetric than the first symmetry approximation. The second velocity model is determined based on an estimate of residual moveout as a function of azimuth and one or more differentials that relate one or more changes in residual moveout as a function of azimuth to one or more orthorhombic parameters. The method also including migrating the seismic data using the second velocity model.

Abstract: Systems, methods, and computer-readable media for determining a velocity model. The method includes receiving a first velocity model having a first symmetry approximation of a media of a subterranean domain, receiving seismic data representing a subterranean formation, and determining, by operation of a processor, a second velocity model having a second symmetry approximation of the media, the second symmetry approximation being less symmetric than the first symmetry approximation. The second velocity model is determined based on an estimate of residual moveout as a function of azimuth and one or more differentials that relate one or more changes in residual moveout as a function of azimuth to one or more orthorhombic parameters. The method also including migrating the seismic data using the second velocity model.

Abstract: Systems, methods, and computer-readable media for visualizing a seismic attribute. The method includes obtaining data representing a seismic image based on seismic data of at least a portion of a subterranean volume, obtaining data representing a first seismic attribute calculated based on the seismic data, and determining one or more characteristics of one or more first attribute indicators based on the first seismic attribute. At least one of the one or more characteristics comprises an orientation of the one or more first attribute indicators. The method also includes displaying the one or more first attribute indicators in combination with the seismic image.