Schlumberger digital platform
Schlumberger launched its Digital Platform Partner Program, which will allow independent software vendors (ISV) to leverage the openness and extensibility of Schlumberger’s digital platform to build new applications and software and offer them to the market. Schlumberger customers will access a broad range of interoperable digital solutions, enabling data-driven decision making across the energy value chain and rapidly accelerating the time to value from digital transformation, at global scale.
“The Schlumberger Digital Platform Partner Program brings together digital solutions from Schlumberger and a growing number of ISVs, substantially increasing the choice of artificial intelligence (AI) and data science-enriched domain workflows for customers,” said Trygve Randen, director, Digital Subsurface Solutions, Schlumberger. “Our digital platform has become an open ecosystem of connected digital solutions, enabling customers to extract maximum value from their data, helping them innovate faster and drive business performance improvements at scale.”
At launch, nine ISVs are offering software solutions to Schlumberger customers, and the platform has been designed with an open framework to quickly onboard new partners.
The solutions are built and deployed through the DELFI* digital E&P platform and integrate seamlessly with industry-standard data platforms. This enables unprecedented value creation due to the interoperability across workflows and organizations. The ISV apps and solutions are targeting workflows across data operations, reservoir engineering, well planning and optimization, process engineering, production optimization, carbon capture, utilization, and storage (CCUS), and decarbonization technologies.
One of the current apps, Resoptima’s ResX software, works seamlessly with Schlumberger solutions to deliver ensemble-based modeling of reservoirs, while continuously conditioning data. Another app, LogQA, which is a cloud application from RoQC, rapidly identifies sub-standard log data and uses machine learning to fix log quality issues. In the production domain, the Tachyus Aqueon App helps customers make data-driven decisions in waterflood development, management, and optimization, quickly and easily.
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