Throughout most of the energy industry’s history, data has existed in isolated pockets. You couldn’t store, share, and process the data streaming in from the subsurface or your drilling activities because the tech and infrastructure needed to do so simply didn’t exist. A crucial industry resource largely untapped, this disconnected data was nearly impossible to use for improving operational workflows or building more efficient solutions at scale, leaving each operator to their own devices.
The Lumi platform began around 2016 with the vision of building a revolutionary AI platform tailored to the specifics of oil and gas. A platform that would transform how historical and scientific data is harnessed to generate workflows, improve efficiency, and unlock solutions for energy operators.
Tired of using outdated data tech for so long, large companies like Shell looked to the tech giants (e.g., Microsoft, Google, and Amazon) for modern cloud services capable of handling data more efficiently. And as oil and gas began moving toward an open-source model where multiple cloud-based providers would access the same data, we faced a choice: to follow or to lead.
Never the followers, our pioneers decided to create the infrastructure needed for data optimization themselves, using open and secure tech that not only scales better but also has more flexibility from a development point of view. Their innovative solution was then donated as a core part of this open-source community and its modern data platform.
With generative AI gaining popularity, our engineers needed to keep pace, especially given SLB’s reputation for innovating energy tech responsibly. This meant building the new tech efficiently but not hastily and integrating AI into the data platform effectively.
To meet the needs of SLB’s operating partners, the new data tech had to not only be scalable and adaptable (which the open-source format supports) but also radically useful. This is where the notion of “engineered AI” comes in.
“Engineered AI means that the foundations are robust,” explains Rakesh Jaggi, President of Digital and Integration for Oilfield Services. “They’re secure. They’re safe. They’re scalable… Models are trained with domain-specific data and integral knowledge of our industry. With 100 years of oilfield experience, we can deliver that context. This is not artificial general intelligence. It’s very specific intelligence, unapologetically optimized for energy.”
The Lumi platform has the potential to help operators produce more energy at a lower cost with less impact on the environment. How? It reduces waste and uses fewer resources, which means less pollution and lower emissions, to get even better results. Already, operators across the oil and gas industry are leveraging the platform for breakthroughs that wouldn’t have been possible before. And these leaps in efficiency are only the beginning.
Lumi platform helped Petoro fast-track its well placement strategy in a fraction of the usual time.
Dragon Oil utilized Lumi platform's AI solutions to boost development plan workflows in a mature offshore field.
Lumi platform's machine learning in fault delineation, interpretation, and modeling reduced geoscientists’ workload from 3 months to 1 week.
