Well Locations Optimization
We developed a platform that distributes multiple reservoir simulations on a cluster of CPUs. This platform integrates a commercial reservoir simulator for flow simulations, an experimental design and Monte Carlo algorithm with a global optimization search engine to identify the optimum combination of reservoir decision factors under uncertainty.
This approach is applied to a well placement design for a field-scale development exercise. The reservoir data is based on an offshore field covering about 30 square miles. The uncertainties considered were the fault structure, reservoir porosity and permeability, PVT, and relative permeability. The results indicated that the approach is practical and efficient for performing reservoir optimization studies.