Abstract: Systems and methods for automatically tracking multi-Z horizons within seismic volumes are provided. A surface from a plurality of surfaces identified at different depths for a multi-Z horizon within a seismic volume is selected. A seed point corresponding to the selected surface is determined. The selected surface is tracked over new data points through the seismic volume. Tracking each new data point involves comparing a depth of the new data point with depths associated with other surfaces and determining whether the depth of the new data point honors a geological boundary rule for maintaining a relative depth position of each of the plurality of surfaces within the multi-Z horizon, based on the comparison. When the depth of the new data point honors the rule, the selected surface is extended to include the new data point and, when it does not, the new data point is discarded.

Abstract: Systems and methods for interpreting and visualizing multi-Z horizons from seismic data are disclosed. A two-dimensional (2D) representation of seismic data is displayed via a graphical user interface (GUI). User input is received via the GUI for interpreting a multi-Z horizon within a portion of the displayed 2D representation. The user's input is tracked relative to displayed 2D representation within the GUI. Based on the tracking, each of a plurality of surfaces for the multi-Z horizon is determined. At least one intersection point between the multi-Z horizon surfaces is identified. A depth position for each surface relative to other surfaces is determined. The 2D representation of the seismic data is dynamically updated to include visual indications for the plurality of surfaces and the intersection point(s), based on the depth position of each surface, where the visual indications use different visualization styles to represent the surfaces and intersection point(s).

Abstract: Systems and methods for editing multi-Z horizons interpreted from seismic data are provided. A multi-Z horizon having a plurality of surfaces is visualized within a two-dimensional (2D) representation of seismic data displayed via a graphical user interface (GUI) of an application executable at a computing device of a user. Input is received via the GUI from the user for editing one or more of the plurality of surfaces of the multi-Z horizon within a current view of the displayed 2D representation of the seismic data. A location of the received input relative to each of the plurality of surfaces within the current view is determined. The one or more surfaces of the multi-Z horizon are modified based on the location of the received input within the current view. The visualization of the multi-Z horizon within the GUI is updated, based on the modified one or more surfaces.

Abstract: Systems and methods for automatically tracking multi-Z horizons within seismic volumes are provided. Seed data for each of a plurality of surfaces of a multi-Z horizon within a seismic volume are obtained. A data hull for each surface is generated based on the obtained seed data. A tracking region within the seismic volume is determined, based on the generated data hull. Each surface of the multi-Z horizon is automatically tracked through the tracking region. Upon determining that one or more of the plurality of surfaces violate at least one geological boundary rule associated with the plurality of surfaces, truncating the one or more surfaces such that each surface of the multi-Z horizon honors the geological boundary rule within the seismic volume.

Abstract: Systems and methods for interpreting multi-Z horizons from seismic data are disclosed. Seismic data is displayed via a graphical user interface (GUI) of an application executable at a user's computing device. User input is received via the GUI for picking surfaces of a multi-Z horizon within a current view of the displayed data. The user's input is tracked as it is received via the GUI over a series of input points within the current view of the displayed seismic data. Based on the tracking, each of a plurality of surfaces for the multi-Z horizon and at least one edge point between the picked surfaces within the current view of the seismic data are determined. The current view of the seismic data within the GUI is dynamically updated to include a visual indication of the plurality of surfaces and the at least one edge point for the multi-Z horizon.

Abstract: A system to provide on-demand fetching of sequential sets of seismic data to local memory from slower storage mediums prior to performing computing operations, such as horizon auto-tracking, amplitude extraction and seismic attribute generation. As a result, the performance of the storage infrastructure (e.g., hard drives, storage filer “file server” over network, etc.) is maximized and the local memory/cache speed is fully utilized to deliver optimal system performance even when working with large seismic datasets that exceed the storage capacity of the local memory.

Abstract: Systems and methods to correct misties across multiple 2D seismic surveys using a correction solution calculated based only on the intersecting points between different surveys.

Abstract: Systems and methods for automatically tracking multi-Z horizons within seismic volumes are provided. A surface from a plurality of surfaces identified at different depths for a multi-Z horizon within a seismic volume is selected. A seed point corresponding to the selected surface is determined. The selected surface is tracked over new data points through the seismic volume. Tracking each new data point involves comparing a depth of the new data point with depths associated with other surfaces and determining whether the depth of the new data point honors a geological boundary rule for maintaining a relative depth position of each of the plurality of surfaces within the multi-Z horizon, based on the comparison. When the depth of the new data point honors the rule, the selected surface is extended to include the new data point and, when it does not, the new data point is discarded.

Abstract: Systems and methods of the present disclosure are directed to adjustment of seismic survey boundaries to remove or minimize data gaps, thereby providing optimized seismic interpretation.

Abstract: Systems and methods to correct misties across multiple 2D seismic surveys using a correction solution calculated using only the intersecting points between different surveys.

Abstract: Systems and methods for automatically tracking multi-Z horizons within seismic volumes are provided. Seed data for each of a plurality of surfaces of a multi-Z horizon within a seismic volume are obtained. A data hull for each surface is generated based on the obtained seed data. A tracking region within the seismic volume is determined, based on the generated data hull. Each surface of the multi-Z horizon is automatically tracked through the tracking region. Upon determining that one or more of the plurality of surfaces violate at least one geological boundary rule associated with the plurality of surfaces, truncating the one or more surfaces such that each surface of the multi-Z horizon honors the geological boundary rule within the seismic volume.

Abstract: Systems and methods for interpreting and visualizing multi-Z horizons from seismic data are disclosed. A two-dimensional (2D) representation of seismic data is displayed via a graphical user interface (GUI). User input is received via the GUI for interpreting a multi-Z horizon within a portion of the displayed 2D representation. The user's input is tracked relative to displayed 2D representation within the GUI. Based on the tracking, each of a plurality of surfaces for the multi-Z horizon is determined. At least one intersection point between the multi-Z horizon surfaces is identified. A depth position for each surface relative to other surfaces is determined. The 2D representation of the seismic data is dynamically updated to include visual indications for the plurality of surfaces and the intersection point(s), based on the depth position of each surface, where the visual indications use different visualization styles to represent the surfaces and intersection point(s).

Abstract: Systems and methods for interpreting multi-Z horizons from seismic data are disclosed. Seismic data is displayed via a graphical user interface (GUI) of an application executable at a user's computing device. User input is received via the GUI for picking surfaces of a multi-Z horizon within a current view of the displayed data. The user's input is tracked as it is received via the GUI over a series of input points within the current view of the displayed seismic data. Based on the tracking, each of a plurality of surfaces for the multi-Z horizon and at least one edge point between the picked surfaces within the current view of the seismic data are determined. The current view of the seismic data within the GUI is dynamically updated to include a visual indication of the plurality of surfaces and the at least one edge point for the multi-Z horizon.

Abstract: Systems and methods for editing multi-Z horizons interpreted from seismic data are provided. A multi-Z horizon having a plurality of surfaces is visualized within a two-dimensional (2D) representation of seismic data displayed via a graphical user interface (GUI) of an application executable at a computing device of a user. Input is received via the GUI from the user for editing one or more of the plurality of surfaces of the multi-Z horizon within a current view of the displayed 2D representation of the seismic data. A location of the received input relative to each of the plurality of surfaces within the current view is determined. The one or more surfaces of the multi-Z horizon are modified based on the location of the received input within the current view. The visualization of the multi-Z horizon within the GUI is updated, based on the modified one or more surfaces.

Abstract: Systems and methods of the present disclosure are directed to adjustment of seismic survey boundaries to remove or minimize data gaps, thereby providing optimized seismic interpretation.

Abstract: The disclosure describes a method and apparatus for performing automated horizon picking on a based volume and snapping auto-picked horizons to other seismic volumes in 4D and multi-azimuth seismic interpretation workflow. Changes made to an initial interpretation may be automatically updated on the other seismic volumes. The automated horizon auto-picking can be batched to setup, run, and monitor auto-picked horizons on a large number of seismic volumes without requiring manual updating of interpretations on each individual volume.

Abstract: Systems and methods using a time-seismic-depth interval velocity curve and the difference between a time-depth interval velocity curve and a time-seismic depth interval velocity curve for validating depth-depth curves which calibrate a synthetic generated from well logs to depth seismic data.

Abstract: A system to provide on-demand fetching of sequential sets of seismic data to local memory from slower storage mediums prior to performing computing operations, such as horizon auto-tracking, amplitude extraction and seismic attribute generation. As a result, the performance of the storage infrastructure (e.g., hard drives, storage filer “file server” over network, etc.) is maximized and the local memory/cache speed is fully utilized to deliver optimal system performance even when working with large seismic datasets that exceed the storage capacity of the local memory.

Abstract: A system and method to intelligently group seismic interpretation data, retrieved from an interpretation workflow, in an inventory tree based upon processing history records automatically captured during generation of volume and horizon datasets. As new volume and horizon datasets are created during the interpretation workflow, the relationships between the datasets are stored within system records. Inventory trees are then generated and/or updated based upon these records to intuitively display the relationships between the volume and horizon datasets.

Abstract: The disclosure describes a method and apparatus for performing automated horizon picking on a based volume and snapping auto-picked horizons to other seismic volumes in 4D and multi-azimuth seismic interpretation workflow. Changes made to an initial interpretation may be automatically updated on the other seismic volumes. The automated horizon auto-picking can be batched to setup, run, and monitor auto-picked horizons on a large number of seismic volumes without requiring manual updating of interpretations on each individual volume.