Data & Analytics
With the latest addition, the Italian major’s computational capacity passes the exaflop threshold, making the firm the world’s leading company by computing power in the new TOP500 global ranking.
This work describes a study in which distributed data parallel training, paired with a node-local caching pipeline, enabled efficient multigraphics-processing-unit scaling for a CO₂-storage graph-neural-network surrogate while maintaining generalization.
This paper presents a novel reservoir engineering/reservoir simulation approach—a data-driven interwell-connectivity model augmented as a digital twin—to predict reservoir dynamics and optimize operations in the Changqing oil field of China.
-
Machine learning has been shown to have a promising role in oil and gas explorations in recent years. Among the applications, determining a proper location for injection and production wells along with their optimal operating conditions is a complex problem. -
The partnership plans to develop an overlying software suite, Data Mesh, to consolidate data from various sources and increase data-access efficiency.
-
A recently signed contract lines the company up to provide autonomous ocean robots for inspection of the oil giant’s subsea field developments in the Gulf of Mexico.
-
This article explains what deep learning is and how it works and presents an example use case from the energy industry.
-
SponsoredHow are upstream operators setting their geoscience teams up for success? Which data management capabilities are most important? And which geo data challenges are outstanding? These questions and others are answered in a report by the industry analysts IDC, based on a survey of industry participants.
-
This paper examines how connected technology can help streamline safety processes and improve worksite efficiency.
-
The technology now in development at UH consists of remotely operated vehicles equipped with multiple sensors, video cameras, and scanning sonars that can swim along a subsea pipeline to inspect flange bolts.
-
The agreement will put SLB’s Delfi software to work in Ineos’ oil and gas operations.
-
This paper presents a family of machine-learning-based reduced-order models trained on rigorous first-principle thermodynamic simulation results to extract physicochemical properties.
-
This paper presents a comprehensive technical review of applications of distributed acoustic sensing.
