Simulation and optimization of a coupled reservoir and multi-phase flow network model
Abstract
This work considers a coupled system of the MATLAB Reservoir Simulation Toolbox, a multi-phase network simulator and topside processing facilities, with the intent to provide a research tool for studying integrated planning and optimization. To this end, a collection of open-source tools are presented that can be combined with MATLAB Reservoir Simulation Toolbox to model, evaluate and optimize the economy of integrated systems, including reservoir and network under different market (costs and revenue) scenarios. The tools are organized in four repositories containing code for cost/price scenario modelling, derivative-free trust region optimization, pipe/network simulation and reservoir-network coupling and examples. A brief background on each of these tools is given, followed by the presentation of a fully implicit approach for the reservoir-network coupling. Moreover, a description is given on how to set up coupled simulation models, and finally, a presentation of numerical examples, including an optimization example that utilizes the full set of above-mentioned tools.
Document Type: Original article
Cited as: Leinan, P. R., Ustad, T. S., Krogstad, S., Silva, T. L., Ortiz, M. M., Hellemo, L., Smith, I. E. Simulation and optimization of a coupled reservoir and multi-phase flow network model. Advances in Geo-Energy Research, 2025, 15(3): 203-215. https://doi.org/10.46690/ager.2025.03.04
Keywords:
Model coupling, optimization, model reduction, MRSTReferences
Bouckaert, S., Pales, A. F., McGlade, C., et al. Net zero by 2050: A roadmap for the global energy sector. Paras, International Energy Agency, 2021.
Brouwer, D. R., Jansen, J. D. Dynamic optimization of water-flooding with smart wells using optimal control theory. SPE Journal, 2004, 9(4): 391-402.
Bukshtynov, V., Volkov, O., Durlofsky, L. J., et al. Comprehensive framework for gradient-based optimization in closed-loop reservoir management. Computational Geosciences, 2015, 19: 877-897.
Calsep. PVTSim Nova, Calsep, 2024.
Chen, Z. Development of a toolbox for simulation of integrated reservoir-production system. Texas, Texas A&M University, 2020.
Ciaurri, D. E., Mukerji, T., Durlofsky, L. J. Derivative-free optimization for oil field operations, in Computational Optimization and Applications in Engineering and Industry, edited by X. -S. Yang and S. Koziel, Heidelberg, Germany, pp. 19-55, 2011.
Conn, A. R., Gould, N. I., Toint, P. L. Trust Region Methods. Philadelphia, USA, Society for Industrial and Applied Mathematics and Mathematical Programming Society, 2000.
Conn, A. R., Scheinberg, K., Vicente, L. N. Introduction to Derivative-Free Optimization. Philadelphia, USA, Society for Industrial and Applied Mathematics and Mathematical Programming Society, 2009.
da Silva, D. V. A., Jansen, J. D. A review of coupled dynamic well-reservoir simulation. IFAC-PapersOnLine, 2015, 48(6): 236-241.
Guyaguler, B., Zapata, V. J. J., Cao, H., et al. Near-well-subdomain simulations for accurate inflow-performance-relationship calculation to improve stability of reservoir/network coupling. SPE Reservoir Evaluation & Engineering, 2011, 14(5): 634-643.
Hannanu, M. I., Camponogara, E., Silva, T. L., et al. A modified derivative-free SQP-filter trust-region method for uncertainty handling: application in gaslift optimization. Optimization and Engineering, 2024, https://doi.org/10.1007/s11081-024-09909-0. (in press)
Hannanu, M. I., Silva, T. L., Camponogara, E., et al. Derivative-free well control optimization under uncertainty. Paper Presented at the European Conference on the Mathematics of Geological Reservoirs, 2-5 September, Oslo, Norway, 2024b.
Hoffmann, A., Stanko, M., González, D. Optimized production profile using a coupled reservoir-network model. Journal of Petroleum Exploration and Production Technology, 2019, 9: 2123-2137.
Jansen, J. D. Adjoint-based optimization of multi-phase flow through porous media-a review. Computers & Fluids, 2011, 46(1): 40-51.
Jansen, J. D., Fonseca, R. M., Kahrobaei, S., et al. The egg model-a geological ensemble for reservoir simulation. Geoscience Data Journal, 2014, 1(2): 192-195.
Jelsness, S. Langsiktig kraftmarkedsanalyse 2020-2040. Oslo, The Norwegian Water Resources and Energy Directorate, 2020.
KBC, Multiflash advanced thermodynamics software, KBC, 2024.
Khaledi, H. A., Smith, I. E., Unander, T. E., et al. Investigation of two-phase flow pattern, liquid holdup and pressure drop in viscous oil-gas flow. International Journal of Multiphase Flow, 2014, 67: 37-51.
Kongsberg Digital AS. Advanced mulitphase flow simulator - LedaFLow, 2024.
Kraaijevanger, J. F. B. M., Egberts, P. J. P., Valstar, J. R., et al. Optimal waterflood design using the adjoint method. Paper SPE 105764 Presented at the SPE Reservoir Simulation Symposium, Houston, Texas, 26-28 February, 2007.
Lie, K. -A. An Introduction to Reservoir Simulation Using MATLAB/GNU Octave: User Guide for the MATLAB Reservoir Simulation Toolbox (MRST). Cambridge, UK, Cambridge University Press, 2019.
Lie, K. -A., Krogstad, S. Comparison of two different types of reduced graph-based reservoir models: Interwell networks (GPSNet) versus aggregated coarse-grid networks (CGNet). Geoenergy Science and Engineering, 2023, 221: 111266.
Lie, K. -A., Krogstad, S. Data-driven modelling with coarse-grid network models. Computational Geosciences, 2024, 28(2): 273-287.
Lie, K. -A., Møyner, O. Advanced Modelling with the MATLAB Reservoir Simulation Toolbox. Cambridge, UK, Cambridge University Press, 2021.
Odeh, A. S. Comparison of solutions to a three-dimensional black-oil reservoir simulation problem (includes associated paper 9741). Journal of Petroleum Technology, 1981, 33(1): 13-25.
Redick, B. S., Gildin, E. Improved surface-subsurface coupled reservoir simulation using automatic PID control. IFAC-PapersOnLine, 2018, 51(8): 82-87.
Rasmussen, A. F., Sandve, T. H., Bao, K., et al. The open porous media flow reservoir simulator. Computers & Mathematics with Applications, 2021, 81: 159-185.
Sarma, P., Durlofsky, L. J., Aziz, K., et al. Efficient realtime reservoir management using adjoint-based optimal control and model updating. Computational Geosciences, 2006, 10: 3-36.
Schümann, H., Bergmo, P. Flexible loads in offshore oil and gas production facilities. Oslo, Research Council of Norway, 2022.
Silva, T., Bellout, M., Giuliani, C., et al. A derivative-free trust-region algorithm for well control optimization. Paper Presented at the 17th European Conference on the Mathematics of Oil Recovery, Online Event, 14-17 September, 2020.
Silva, T. L., Bellout, M. C., Giuliani, C., et al. Derivative-free trust region optimization for robust well control under geological uncertainty. Computational Geosciences, 2022, 26(2): 329-349.
SLB. Olga, 2024.
Smith, I. E., Nossen, J., Kjølaas, J., et al. Development of a steady-state point model for prediction of gas/oil and water/oil pipe flow. Journal of Dispersion Science and Technology, 2015, 36(10): 1394-1406.
Statnett. Langsiktig markedsanalyse: Norden og Europa 2020- 2050. Oslo, Statnett, 2020.
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