Schlumberger, IHS Markit in GAIA Strategic Collaboration

  • Operations & Maintenance

Schlumberger has established a strategic collaboration between WesternGeco, the company’s seismic and geophysical data solutions division, and IHS Markit, a provider of critical information, analytics and solutions. 

The collaboration will bring together data, technology and expertise from two sources of exploration and production (E&P) information and make it available through the GAIA digital subsurface platform.

WesternGeco launched the GAIA platform to accelerate data discovery, screening and ranking of its clients’ exploration opportunities by providing access to all relevant and licensed data.

Powered by the DELFI cognitive E&P environment, the GAIA platform transforms the explorationist’s experience and productivity.

IHS Markit will initially enable direct access to its global E&P datasets, including well, production and asset information from within the GAIA platform.

As we embrace openness, our strategic collaboration with IHS Markit enables our clients to take advantage of a wealth of data, accessible through the GAIA platform, where the latest digital technologies can be used to unlock data value for critical business decisions,” said Maurice Nessim, president, WesternGeco. “Our relationship extends beyond providing access to seamlessly integrated IHS Markit data, WesternGeco multiclient libraries, and public and partner data—all in one place. It also includes collaboration in petrotechnical and data science R&D to rapidly deliver new data solutions on the GAIA platform.”

“For years, the industry has talked about the need to break down silos and combine data across organizations to enable our mutual clients to make better decisions faster, and today, two of the biggest providers in E&P content, IHS Markit and Schlumberger are taking a step in that direction,” said David Hicks, senior vice president of Energy Upstream at IHS Markit. “Bringing critical data sources together to help our clients improve efficiencies and extract more value from their assets is the primary goal of this endeavor. Since speed to decision is such a critical issue and data volumes continue to expand rapidly, clients will benefit from the increased use of artificial intelligence and various data science technologies to more quickly interrogate our global E&P database in new ways.”

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