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New Features
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Why It Matters |
Workflows for Interpreters
Using a workflow-driven user interface, the Emerson portfolio of Workflows for Interpreters offers unique, best-in-class technologies in the same integrated platform where day-to-day interpretation is performed. Advanced functionalities, such as seismic classification, advanced visualization, geobody picking, quantitative seismic interpretation, and others, are available directly within a comprehensive interpretation environment, with no need to move to specialized software from third-party vendors.
With a seamless workflow, consistent user interfaces, and common viewers, Emerson Workflows for Interpreters eliminate all of the challenges associated with moving data between platforms, including the risk of data duplication, loss of data integrity, etc. The integrated workflow improves productivity while also enabling faster product adoption and a reduced learning curve.
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- General Updates
- Chain workflows
- A new functionality that enables linking individual workflows together
- Brand new interface
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- Reduces the cycle time associated with repetitive data selection
- A user friendly UI that enables work with multiple workflows at the same time, while managing results from a single tab
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- Principal Component Analysis Workflow
- A workflow guided interface to perform Principal Component Analysis of seismic data and attributes
- Based on Stratimagic functionality
- Supports prestack and poststack data
- Several plots to QC results
- Outputs PCA components as: volumes, maps and well logs
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- Waveform classification update enables multiple traces to be added to the trace model from multiple wells in one go
- Rock type classification helps interpreters extract more information from multiple data sources, for geological classifications, predictions and anomaly detections.
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- Geobody Detection Workflow
- A workflow guided interface to interpret geobodies
- Based on VoxelGeo functionality
- Seed/seedless detection
- New option for picking seeds in section
- Automatic load to shared memory
- Automatic generation of reports that capture all the parameters and statistics of the detections
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- Extract all geobodies with no need to manually picking seeds.
- Easy transition of interpretation mode from seed based to seedless. Seed mode allows the user to control the detection with seeds, while the seedless mode automatically detects all the geobodies in the data.
- Seedless detection mode allows the user to filter which geobodies to keep.
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- Modified Stochastic Inversion (MSI)
- A new workflow with a completely new approach to stochastic inversion, based on the idea that in stochastic inversion results, well data and seismic data contribute to different frequency bands.
- This workflow uses SKUA/GOCAD technology from the Epos interface, using Epos data.
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- Enables the creation of multiple high frequency realizations of the reservoir that match all available data, including the seismic.
- Fast performance and unique implementation; can use complex stratigraphy, which most competitive offerings cannot do.
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- 3D Geostatistical Operation Workflow
- Enables interpreters to use SKUA/GOCAD technology to run kriging and sequential gaussian simulation from the Epos interface, using Epos data.
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- Workflow-based approach makes some SKUA/GOCAD technology available to Interpreters with no need to learn new software.
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- Rock Type Classification Workflow Updates
- QC Improvements
- Well blind testing - generates all QC plots for the selected wells
- More quality indicators available
- QC plots also available for training data
- Options to do partial execution when using parameter testing
- In addition to electrofacies logs, supervised classification can be guided using lithology logs.
- Support for non-consecutive facies
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- Rock type classification helps interpreters extract more information from multiple data sources, for geological classifications, predictions and anomaly detections.
- Robust, machine learning-based seismic facies classification tool, directly available in the implementation platform.
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- Attribute Clustering Workflow Updates
- User interface refactoring
- Constant values can be used to define the interval of analysis
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- More intuitive interface
- No need to constrain clustering to an interval, if no interpretation is available; if desired, can be done for the full volume.
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