The oil and gas industry is increasingly focused on integrating previously siloed operational data to improve efficiency and decision-making as assets age and become more complex to manage. New digital tools are emerging that aim to connect well sites, processing facilities, and pipeline networks, offering operators a more holistic view of production.
Across the energy sector, vast amounts of operational data are generated daily. Although, converting this data into actionable insights has proven challenging, with engineers often relying on disparate systems to monitor performance and make critical decisions. This fragmentation can hinder timely responses to potential issues and limit optimization opportunities.
SLB is among the companies developing technologies to address this challenge. Their OptiFlow™ production assurance solutions, OptiSite™ facility, equipment and pipeline solutions, and Tela™ agentic AI assistant are designed to integrate data and workflows across the entire production lifecycle – from reservoirs and wells to facilities and pipelines.
Melody Cao, product manager for OptiSite solutions, explained that the impetus for this integration stemmed from her experience in field operations. Beginning her career as a design engineer for petrochemical and chemical plants, Cao later worked on projects in China, the Middle East, and Australia, encompassing pipelines, offshore developments, and production facilities.
During a gas development project in Yanbei, China, Cao encountered a common industry problem: while control systems generated substantial data volumes, extracting meaningful operational decisions from that data was a slow process. “The data existed, but extracting value from it could accept too long,” she said. This experience spurred her to explore digital technologies and predictive analytics.
OptiSite solutions focus on improving the performance and reliability of facilities, equipment, and pipelines by integrating operational data with simulation models and predictive analytics. Rather than replacing existing control systems, the solutions work alongside them, consolidating data that would otherwise remain isolated. The system leverages SLB’s established engineering modeling technologies, including Olga™ for dynamic multiphase flow simulation, Pipesim™ for steady-state multiphase flow simulation, and Symmetry™ for process simulation.
OptiFlow solutions aim to improve performance across the broader production system, encompassing reservoirs, wells, and production networks. Product Manager Mahyer Mohajer, noted that operators are increasingly seeking digital tools that simplify the complexities of production assurance, which requires balancing reservoir pressure, well performance, fluid flow, and infrastructure constraints. “Customers no longer want access to raw data alone,” Mohajer said. “They want insights that help them understand what is happening and what actions to take.”
OptiFlow solutions combine advanced simulation capabilities with artificial intelligence, including generative and physics-informed AI, to monitor production systems and model potential outcomes. Engineers can test operational scenarios, detect problems earlier, and adjust production strategies more quickly. The goal is to connect traditionally separate parts of the production system, where reservoir, well, and facility operators often rely on different tools and datasets despite working on the same physical system.
SLB is also integrating these systems with the Tela agentic AI assistant, designed to streamline how engineers interact with operational data. Instead of navigating multiple software platforms, engineers can use Tela to analyze trends, run simulations, and generate operational recommendations. Cao drew a parallel to changes she witnessed growing up in rural China, where harvesting wheat once required extensive manual labor but is now largely automated.
“In the future, engineers will not spend their time gathering data or running routine analysis,” Cao said. “They will begin the day with insights that help them focus on higher-value decisions.”
As digital technologies mature, production operations are evolving from monitoring individual assets to managing entire systems in a coordinated manner. By linking data, models, and workflows across reservoirs, wells, facilities, and pipelines, integrated digital solutions are enabling earlier insights, more informed decisions, and closer collaboration across disciplines.
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