AI/machine learning

Chevron, Schlumberger, Microsoft Team To Improve Digital, Petrotechnical Work Flows

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.

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Source: Schlumberger

Chevron, Schlumberger, and Microsoft will combine their capabilities to create better digital, cloud-enabled work flows.

The companies will build for Chevron applications in Schlumberger’s DELFI cognitive exploration and production (E&P) environment that will be native to Microsoft’s Azure cloud computing platform. DELFI is a scalable and open cloud-based environment providing E&P software technology across the exploration, development, production, and midstream segments.

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.

Chevron and Schlumberger will combine their knowledge and resources to accelerate the deployment of DELFI solutions in Azure, with support and guidance from Microsoft. The companies said they will ensure the software developments meet the latest standards of security, performance, and release management and are compatible with the Open Subsurface Data Universe (OSDU).

OSDU is a standard data platform for the oil and gas industry consisting of dozens of operators, service companies, and suppliers. Schlumberger in August announced its plans to open its data ecosystem and contribute to OSDU.

The collaboration of Chevron, Schlumberger, and Microsoft will be completed in three phases starting with the deployment of the Petrotechnical Suite in the DELFI environment, followed by the development of cloud-native applications on Azure, and the co-innovation of a suite of cognitive computing native capabilities across the E&P value chain tailored to Chevron’s needs.

Joseph C. Geagea, Chevron executive vice president, technology, projects, and services, said the collaboration “will dramatically accelerate the speed with which we can analyze data to generate new exploration opportunities and bring prospects to development more quickly and with more certainty.

“It will pull vast quantities of information into a single source, amplifying our use of artificial intelligence and high-performance computing built on an open data ecosystem,” he said.