Data & Analytics
The emerging vision is an industry where engineers focus on judgment, risk assessments, and accountability.
This paper presents the large-scale deployment and operational integration of an advanced, automated rheometer in the Ghawar gas field, one of the world’s most prolific and technically complex hydrocarbon developments.
Case studies from Devon Energy, ConocoPhillips, and others show how clever engineering and technology are being used to improve recovery and asset value.
-
Whether thinking about managing oil and gas or other infrastructure facilities or considering industrial efficiency, you may be pondering how the Internet of things can be used. Forward-thinking strategies include not just staying on top of regulatory changes but also influencing them. -
Technology startups are breathing new life into an old industry with advanced software and emerging chemistry solutions. Learn about some of the names earning the most attention from the industry's venture capital groups.
-
Using machine learning (ML), image recognition, and object detection, the use of ML on algorithms to recognize objects and describe their condition were investigated—offering new possibilities for performing inspection and data gathering to evaluate the technical condition of oil and gas assets.
-
The combination of digital technologies will enable Chevron—and, eventually, other companies—to process, visualize, interpret, and glean insights from multiple data sources, the companies said.
-
The planned collaboration is expected to provide analytics-ready data from IHS Markit that would be directly accessible from the GAIA platform.
-
The pilot used sensor technology originally deployed by NASA for the Mars Curiosity Rover to collect methane emissions data live-streamed from a drone. BP said it plans to deploy the technology to all of its North Sea assets, including ETAP and Glen Lyon, in 2020.
-
Equinor Technology Ventures and OGCI Climate Investments have agreed to back the tech developer, which integrates its SeekIR miniature gas sensors onto drones to detect, localize, and quantify carbon emissions.
-
Blending smart-proxy models with data-driven models to create hybrid models is not always the best idea for physics- and engineering-related applications.
-
Equinor is working on a natural language processing tool that could combine data sources and help planners anticipate the issues that affect onsite operational safety.
-
The company has proposed the Probabilistic Digital Twin to close the gap between digital twins—used increasingly by operators to manage the performance of their assets—and risk analysis still largely conducted manually before assets enter service.
