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CGG continues innovation with new reservoir characterization technology

Wednesday, October 21, 2020

CGG GeoSoftware has released new versions of its Cloud-ready reservoir characterization and petrophysical interpretation software with innovative enhancements that boost performance and improve usability.

Jason Workbench 10.2 offers enhanced display options, upgraded QCs and monitoring, and more user-friendly interfaces. The Python machine learning ecosystem contains additional basic and advanced sample scripts and Jupyter notebooks, making it even easier for clients to build their own workflows. Optimizing performance continues to be prioritized, particularly within its geostatistical reservoir characterization technology.

The new features and functionality of HampsonRussell 10.6 include an interactive radon analyzer, an AVO interpretation crossplot template, improved convenience in retrieving inversion models, greater parameter flexibility and a new inversion algorithm.

PowerLog 10.2 for petrophysical interpretation now offers improvements in handling big data, performance enhancements, and data preparation automation for patching curves. A complete automated log editing workflow is available through a collection of modules which includes Outlier Detection, Log Patching, and Synthetic Curve Generation. As a critical part of PowerLog's patented workflow, Outlier Detection enables users to detect data spikes and anomalies and then replace bad data with patches or synthetic curves. The resulting high-quality curve data is essential in generating accurate interpretations, pore pressure predictions, and for use in seismic inverse modeling.

Capabilities in the Rock Physics software have also been enriched with new rock physics models, regression, curve fitting and an enhanced interface.

InsightEarth 3.6 now has new features, including the recently announced WellPath interactive well path planning technology. The WellPath QuickPlan workflow automates planning for large multi-well pads or platforms and builds all well plans simultaneously.

Kamal al-Yahya, Senior Vice President, GeoSoftware & Smart Data Solutions, said: 'During these difficult times, we are proud that our teams persevered through the challenges and kept development plans on schedule. This enabled us to deliver significant innovations to the market and value to our clients. These new GeoSoftware releases demonstrate our continued commitment to providing the latest technology in machine learning and reservoir characterization workflows that are essential in helping our clients overcome their E&P challenges.'



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