Expansion optimization for "LM 2500" Gas Turbine at "CPF" in "MLE"

Abstract

The LM2500 gas turbine plays a crucial role in energy production within the Menzel Ledjmet Est (MLE) field. This thesis investigates the optimization of turbine expansion to enhance performance and efficiency. The study evaluates how key parameters—namely inlet temperature, mass flow rate, and rotational speed—affect turbine behavior using Computational Fluid Dynamics (CFD) simulations via ANSYS BladeGen, TurboGrid, and CFX. A mesh sensitivity study ensured accurate and stable results. The findings demonstrate how these parameters influence torque, power output, and flow characteristics, helping identify optimal operational conditions. Additionally, the thesis discusses a maintenance strategy for the LM2500, addressing scheduled and unscheduled inspections to improve reliability and reduce downtime. This work contributes to operational optimization, cost reduction, and improved energy efficiency in the oil and gas industry.