The main objective of effective reservoir management is production optimization and ensuring the maximum economic return on investment over the life of an oil and gas asset.

Modern reservoir simulators offer crucial support for reservoir management, production optimization and ultimately decision making. By leveraging sophisticated algorithms, high-performance computing and openness, simulation models can nowadays be used to reproduce the behavior of most complex reservoirs, the physics of inherent fluid flow, field operational logic and advanced recovery techniques. This offers the operators the ability to evaluate various field development plans, optimize production and obtain an accurate assessment of the economic viability of the proposed strategies.

This work outlines the implementation of a complex field management strategy utilizing the reservoir simulator's extensibility feature in a subsurface model of a mature asset located southeast Algeria. Using a combination of tabulated and formatted comma-separated value (CSV) files and python scripts, the potential impact of field operations and equipment failures on the reservoir dynamics and the recovery were evaluated providing unique insights for a better planning.