Pipesim flow modeling
The foundation for steady-state multiphase flow analysis
Production assurance solutions
Our digital production assurance solutions amplify operational efficiency, by ensuring continuous well surveillance, streamlined network flow, resource optimization, and maintaining compliance with safety regulations. You can leverage our physics and data-driven models, for a real-time understanding of your operational landscape, giving you up-to-date insights, so you can make informed decisions that directly benefit you in a modular yet integrated approach.
OptiFlow™ production assurance solutions are powered and enabled by the SLB Operations Data Foundation that overcomes disconnection, transforming data into readily accessible data in context, regardless of OEM or provider.
Sharing the data foundation is OptiSite™ facility, equipment, and pipeline solutions. Data integration and contextualization across operations presents new opportunities for solutions that can unite fluid flow and physical production system data and workflows. The Operations Data Foundation is powered by the leading industrial data operations capabilities of Cognite Data Fusion®.
Flow Assurance—physics-based modeling of multiphase flow
Comprehensive steady-state and transient flow simulators to deliver workflows and physics-based insights into dynamic flow behavior to ensure assets are planned, developed and operated optimally from wells to networks. These tools support feasibility studies and rigorous models of complex field operations, to pinpoint flow assurance risks.
Production analytics—improve situational awareness
Move beyond simple business intelligence dashboards, with direct measurements paired with simulated data, physics-based models, engineering, and field best practices to support engineering and operations. Measurably improve performance, through continuous operational awareness.
Production insights—management by exception workflows for operational excellence
Automate the evaluation of operating conditions versus established standards, best practices, and engineering guidelines. Real-time monitoring with predictive capabilities trigger alarms or alerts to relevant stakeholders for faster decision making.
Production advisors—embedded engineering and data science for prescriptive workflows
Employ physics-based simulations, machine learning models, and hybrid methods to pinpoint operational risks and opportunities. Recommendations are ranked based on operational and financial risks versus expected outcomes, enabling you to focus on developing opportunities instead of searching for them.
Production intervention—actionable decisions aided by the automation of best practices
Automation of routine tasks and best practices delivers actionable optimization decisions. Continuous improvement is delivered through scaled deployment across portfolios, configurable to local asset conditions.