Different-Sized Dual Electrical Submersible Pumps (ESPs) Novel Applications: Sustainable Production and Reduced Carbon Emission Available to Purchase

Dual Electrical Submersible Pumps (ESPs) have gained widespread adoption across the oil industry. While current applications are predominated by identical size systems to achieve the sole goal of extended run life, incorporating different-sized systems can open the door for expanded applications and operational benefits. This paper introduces various novel applications of dual ESPs that can lead to sustained production target and minimized carbon footprint.

The procedure includes gathering reservoir, wellbore, and surface network data. Subsequently, simulation models are used to select and evaluate ESP units of varying capacities, leading to an optimized design for enhanced efficiency. The system incorporates non-return valves (NRVs), facilitating seamless alternation between the two systems and eliminating the need for well intervention and associated carbon emissions. Throughout the ESP operation cycle, an integrated reservoir and network surveillance system is essential for continuous monitoring and analysis of data to determine the most efficient system for prevailing conditions.

The comprehensive simulations cover various application scenarios for different-sized ESPs, revealing compelling results such as around 20% reduction in power consumption and a substantial annual cut of around 100-200 metric tons of CO₂ emission reduction per system. Furthermore, the study explores the potential application in addressing reservoir parameters uncertainty, showcasing how ESPs of different sizes can offer wider operating ranges. Additional benefits include the ability of dual systems to achieve target rates within maximum allowable network pressures, eliminating the need for surface network upgrades. In conclusion, integrating real-time reservoir data with the novel application of dual ESP illustrates numerous energy and production optimization opportunities.

This study emphasizes the significance of data-driven decision-making to provide a path towards more eco-friendly and efficient ESP applications. Additionally, it offers a robust foundation for enhancing environmental stewardship while maintaining ESP operational excellence.