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19.4.2021 15:02:17 CEST | Business Wire | Press release

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Schlumberger Will Collaborate With Equinor for DELFI Environment Deployment, Fully Integrated With the OSDU Data Platform

Schlumberger and Equinor announced today a strategic project, in collaboration with Microsoft, to deploy the DELFI* cognitive E&P environment, with seamless integration to the OSDU Data Platform—the industry’s new data standard. This project aims to accelerate Equinor’s ability to integrate data at scale and improve decision making.

“We are pleased to be working with Equinor and Microsoft to facilitate enhanced resource discovery through this first deployment of the newly-released OSDU Data Platform fully integrated with DELFI,” said Rajeev Sonthalia, president, Digital & Integration, Schlumberger. “This provides a single, unified landscape with seamless access to data that enables the industry to rapidly run AI and data-driven workflows, creating a game-changing increase in efficiency.”

The OSDU-enabled solution will be embedded as a key part of Equinor’s Microsoft Azure enterprise-wide data platform, OMNIA. This will establish consistent data standards across the subsurface to enhance overall decision making.

The strategic project will leverage the DELFI Petrotechnical Suite, the ExplorePlan* accelerated exploration planning solution (co-developed between Schlumberger and Equinor), and data science solutions from Schlumberger. These solutions improve collaboration and insights, enabling geoscientists to make informed decisions through enhanced subsurface understanding and prospect de-risking.

“We’re excited to champion OSDU as the industry standard platform that integrates our data into the DELFI environment,” said Lisa Rebora, senior vice president of Exploration Excellence, Equinor. “Our collaboration with Schlumberger in the co-creation of ExplorePlan will enable our geoscientists to draw more insights and generate more ideas and opportunities through access to a wealth of data at their fingertips. In this next important phase during 2021, we will deploy ExplorePlan to our geoscientists, connecting seamlessly to our OSDU-enabled OMNIA data platform.”

About Schlumberger

Schlumberger (SLB: NYSE) is a technology company that partners with customers to access energy. Our people, representing over 160 nationalities, are providing leading digital solutions and deploying innovative technologies to enable performance and sustainability for the global energy industry. With expertise in more than 120 countries, we collaborate to create technology that unlocks access to energy for the benefit of all.

Find out more at www.slb.com .

Cautionary Statement Regarding Forward-Looking Statements

This press release contains “forward-looking statements” within the meaning of the U.S. federal securities laws — that is, statements about the future, not about past events. Such statements often contain words such as “expect,” “may,” “can,” “estimate,” “intend,” “anticipate,” “will,” “potential,” “projected" and other similar words. Forward-looking statements address matters that are, to varying degrees, uncertain, such as forecasts or expectations regarding the deployment of, or anticipated benefits of, digital technologies. These statements are subject to risks and uncertainties, including, but not limited to, the inability to recognize intended benefits from digital strategies, initiatives or partnerships; and other risks and uncertainties detailed in our most recent Forms 10-K, 10-Q and 8-K filed with or furnished to the U.S. Securities and Exchange Commission. If one or more of these or other risks or uncertainties materialize (or the consequences of such a development changes), or should underlying assumptions prove incorrect, actual outcomes may vary materially from those reflected in our forward-looking statements. Statements in this press release are made as of the date of this release, and Schlumberger disclaims any intention or obligation to update publicly or revise such statements, whether as a result of new information, future events, or otherwise.

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