"Numerical Simulation and Optimization Advanced Oil-Recovery Methods"
Numerical Simulation and Optimization Advanced Oil-Recovery Methods – ADORE. Major Research Project 2007 - 2012 Funded by the Danish Research Council for Technology and Production Project Objectives We construct mathematical models and numerical methods to simulate and optimize enhanced oil recovery processes. This is done in the following projects: • Reactive Transport – 1 Post Doc, 1 PhD • Phase Behavior – 1 PhD • Porous Media – 1 PhD • Rock Mechanics – 1 PhD • Numerical Methods – 1 Post Doc, 2 PhDs Black-Oil Reservoir Model Equations The world’s oil fields have an expected average recovery of 50%. With an increasing demand for oil and difficulties in finding new major oil fields the research in Enhanced Dynamic Smart Well Optimization Oil Recovery (EOR) is more needed today than ever. This project addresses the challenge of exploiting the Simulation and Optimization Projects limited oil resources as efficiently as possible. This • Solution of large-scale sparse linear systems challenge is highly relevant for the Danish oil fields • Numerical methods for large PDE systems where the expected average recovery is less than 30%, • Sensitivity computation in PDE systems • Numerical methods for model reduction The project focuses on some of the most advanced and risky EOR methods. The use of surfactants (chemical • Numerical optimization algorithms flooding) and in situ combustion (thermal recovery) • Numerical algorithms for dynamic optimization represent technologies with a huge potential for • Optimization of PDE-constrained systems enhancing the oil recovery but at high cost and high risk. • Multi-scale simulation and optimization • Software design for high-performance computers The processes are so complex that they cannot be modeled and simulated with state-of-the-art industrial Project Partners software tools. Reliable predictions of cost and impact • DTU – KT, MEK, IMM are impossible with these tools. This may lead to significant losses and lost opportunities. • Danish Geotechnical Institute (GEO) • Stanford University • University of Southern California Informatics and Mathematical Modelling • Mærsk Oil and Gas A/S Contact: John Bagterp Jørgensen