Conference paper
Software for industrial scale oil production optimization
Department of Applied Mathematics and Computer Science, Technical University of Denmark1
Scientific Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark2
Centre for oil and gas – DTU, Technical University of Denmark3
Center for Energy Resources Engineering, Centers, Technical University of Denmark4
Danish Hydrocarbon Research and Technology Centre5
Oil production optimization of petroleum reservoirs under uncertainty give rise to large-scale optimization problems. Ensemble-based methods for production optimization are used in combination with gradient-based optimization algorithms. Use of commercial-grade simulators able to handle real-scale reservoir models and compute the gradient by the adjoint method is essential for implementing such methods in real-life.
However, the simulation time for a single ensemble model renders the problem computationally intractable. Therefore, model reduction is needed. We introduce a grid coarsening method that maintains the overall dynamics of the flow, by preserving the geological features of the model. In this paper, we present a software tool for oil production optimization and a semi-automated workflow for grid coarsening and property upscaling.
The software tool integrates state-of-the-art optimization algorithms, ensemble-based optimization strategies and reservoir simulators with adjoint capability. The software is based on the Eclipse input file-format, which enables use of existing reservoir models for production optimization. This allows for oil production optimization of both black-oil and compositional flow models and brings model based production optimization a step closer to routinely implementation in reservoir management workflow.
We present the workflow of the optimization software and numerical examples that demonstrates the application of ensemble-based production optimization.
Language: | English |
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Publisher: | European Association of Geoscientists and Engineers |
Year: | 2018 |
Proceedings: | 16th European Conference on the Mathematics of Oil Recovery |
Types: | Conference paper |
DOI: | 10.3997/2214-4609.201802211 |
ORCIDs: | Hørsholt, Steen , Nick, H. M. and Jørgensen, J. B. |