The global average recovery factor for a typical oilfield is approximately 40%. This results in a large amount of identified oil left behind despite an existing production infrastructure. The need to improve the recovery factor and the accelerating of the associated production is the main driver behind the many EOR schemes in practice around the world.
The challenge to EOR lies in the complex interaction of injected agents with the existing reservoir fluids in an ever-changing downhole environment. Many of these challenges are well known from the development of the field. The difficulty is ensuring the proper chemical interaction and subsequent flow conformance of the EOR sweep front to recover more oil, more quickly. Making the right parametric decisions regarding a chosen EOR technique, while evaluating dynamic economic conditions, compounds these complex challenges.
To ensure successful long-term recovery, engineers and geoscientists use earth models, numerical simulators, pilot studies, and sophisticated monitoring tools to make the best decisions. A dynamic reservoir model, using the full-field model built from the initial development plan, is constantly updated with the latest monitoring data acquired from surface seismic, single well logs, and inter-well data. It is the application of this collective knowledge of accurate reservoir data coupled with detailed production history that leads to the best decisions for these complex EOR problems.
Reservoir understanding is essential to evaluating, modeling, and simulating various EOR methods to determine feasibility.
Pilot programs provide relevant field data that transition EOR projects from models and simulations to sanctioned, full-field implementations.
The scope of modeling, simulation, pilot and monitoring services can be expanded to cover the entire field. Ongoing data can be input into a data-management process that incorporates new information as it is acquired.