Digital Tools Connect Aging Oil and Gas Systems for Optimized Production

As oil and gas assets age and operations become more complex, operators are increasingly turning to digital tools to integrate fragmented production data into coordinated, actionable insights. These novel technologies aim to connect wells, facilities, and pipelines, enabling more efficient management and improved decision-making across the entire production lifecycle.

The Challenge of Fragmented Data

The energy industry generates vast amounts of operational data, but much of it remains siloed and difficult to translate into timely decisions. Engineers often rely on multiple, disconnected systems to monitor performance, hindering their ability to identify and address issues proactively. This fragmentation becomes particularly problematic as assets mature and operations grow in complexity.

SLB’s Integrated Solutions: OptiFlow, OptiSite, and Tela

SLB is developing technologies designed to address this challenge, including OptiFlow™ production assurance solutions, OptiSite™ facility, equipment, and pipeline solutions, and the Tela™ agentic AI assistant. These technologies are designed to integrate data and workflows across reservoirs, wells, facilities, and pipelines, providing operators with greater visibility and coordination.

OptiSite: Focusing on Facilities, Equipment, and Pipelines

OptiSite solutions improve 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, OptiSite works alongside them, consolidating data from disparate sources. The system leverages SLB’s existing engineering modeling technologies, such as Olga™, Pipesim™, and Symmetry™, to provide earlier insight into potential issues.

OptiFlow: Managing Production as One System

OptiFlow solutions focus on improving performance across the entire production system, from reservoirs to production networks. They combine advanced simulation capabilities with artificial intelligence, including generative and physics-informed AI, to monitor production systems and model potential outcomes. This allows engineers to test scenarios, detect problems earlier, and adjust production strategies more quickly. The goal is to connect traditionally separate domains – reservoir, well, and facility engineering – digitally.

The Role of AI: Tela Agentic AI Assistant

SLB is integrating these systems with the Tela agentic AI assistant, designed to simplify interaction with operational data. Engineers can utilize Tela to analyze trends, run simulations, and generate operational recommendations without navigating multiple software platforms.

Looking Ahead: Insight-Led Operations

As digital technologies mature, production operations are shifting from monitoring individual assets to managing entire systems in context. By linking data, models, and workflows, integrated digital solutions are enabling earlier insights, more informed decisions, and closer coordination across disciplines. This shift has the potential to redefine how production systems are managed in the years ahead.