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Feature Articles
Seismic

CGG’S Smart Data Solutions business wins data management contracts

By Dale Granger | 15/10/2020

CGG Pic

15/10/2020 by Dale Granger

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CGG Geoscience has announced that its Smart Data Solutions (SDS) business group has recently been awarded data management contracts representing a total backlog of about $10 million. Given the current industry context, these awards reflect the continued high priority that clients have on digitalizing and thus enhancing the value of their legacy data.

The most significant contract is for a global framework agreement signed with a major international energy company that provides for the digitization and multi-year storage of its legacy data and procurement of services related to understanding and extracting the maximum value from this asset. By selecting CGG for this contract, the client has the assurance that the data CGG manages on its behalf will be stored safely and securely by experts who have a deep geoscientific understanding of it. This unique knowledge will be instrumental in assisting the client to make informed decisions about how to realize the value of this legacy data within its digitalization initiatives.

CGG CEO Sophie Zurquiyah
Sophie Zurquiyah

Sophie Zurquiyah, CEO, CGG, said: “These recent awards reflect not only the long-term collaborative relationships that CGG maintains with its clients, but also their trust in our expertise, technology and knowledge. Through the proactive custodianship of information assets, we assist our clients in their understanding, extraction and integration of subsurface geoscience data. As the focus of exploration shifts to mature provinces and new technologies are leveraged for analysing rapidly expanding data volumes, gaining access to and the integration of legacy data have never been more critical.”

New software

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

Probabilistic Net Pay in the Gulf of Mexico from a facies-driven deterministic inversion.
Image courtesy of CGG GeoSoftware.

CGG said that 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 analyser, 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 modelling. 

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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The Petroleum Exploration Society of Australia is a non-profit association of individuals involved in the exploration of oil and gas.

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