Applications – DARTS

Physics-based data-driven models

We propose a novel approach where a proxy model combines limited information about a spatial configuration of the hydrocarbon field and a simplified description of the governing physics. The approach contains several stages: in the first, the spatial connectivity graph is generated based on positions of wells and a limited log interpretation. Next, unstructured gridding…
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Modeling of foam experiments

Foam improves significantly the sweep efficiency of gas injection. Foam-oil displacement in reservoirs involves strongly nonlinear physics, e.g. multiphase flow and transport with oil-foam interactions. The nonlinearity of this process challenges conventional simulation, which often translates into a high computational cost. To address this problem, we extend an Operator-Based Linearization (OBL) approach for simulation of…
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Modeling of dissolution in core

Acidizing is a widely used technique for intensification of wells. At certain conditions, acid injection results in a formation of highly conductive channels, e.g. wormholes. The associated rock matrix dissolution is highly nonlinear and may influence the fluid flow as well as rock properties. Wormhole patterns and breakthrough time are mainly controlled by acid strength…
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Multiphase flow and reactive transport

We introduce an efficient element based reduction technique for molar formulation. The chemical equilibrium constraints are included into the multiphase multi-component flash calculation which solves the thermodynamic and chemical phase equilibrium simultaneously13. This provides a generic treatment of chemical and thermodynamic equilibrium within the successive substitution loop of multiphase flash to accommodate chemical precipitation and…
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Supercritical CO2-brine interactions

Geological storage of CO2 is a crucial and upcoming technology to reduce anthropogenic greenhouse gas emissions. Due to the buoyant characteristic of injected gas and the complex geology of subsurface reservoirs, the security of underground storage is a major concern. To assess the security of CO2 storage, an accurate prediction of the CO2 plume migration…
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$Uncertainty quantification for fractured reservoirs$

Uncertainty quantification for fractured reservoirs

Performing uncertainty quantification on a large (high-fidelity) ensemble of Discrete Fracture Models (DFM) can become computationally unfeasible. With an advanced coarsening strategy for fractured reservoirs, the numerical solution can be evaluated as a different coarse level with a certain gain in simulation performance. In terms of main flow patterns, it is therefore expected that the…
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$Geothermal flow in fractured systems$

Geothermal flow in fractured systems

Multi-phase mass and heat transfers are ubiquitous for modelling of the most energy-related subsurface applications. The presence of complicated fractures may significantly impact, or even determine, the dynamic transport process. Here, the multi-phase flow in a fractured high-enthalpy geothermal reservoir is numerically investigated. The utilized fracture network is sketched and scaled up from digital maps…
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Sensitivity analysis of geothermal projects

A low-enthalpy geothermal reservoir with complicated realistic sedimentary distribution located in the West Netherlands Basin is utilized to perform sensitivity analysis4. A porosity distribution of the model is displayed in Fig.3. The model mainly consists of Berkel and Delft sandstone (around 0.8 million grid blocks) and shale layers (approximately 2.4 million grid blocks) with several…
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Geothermal benchmarking

Accurate prediction of temperature and pressure distribution is essential for geothermal reservoir exploitation with cold water re-injection. Depending on our knowledge about the heterogeneous structure of the subsurface, the reservoir development scheme can be optimized and the overall lifetime of the geothermal field can be extended. In DARTS, the molar formulation with pressure and enthalpy…
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References:

Wang, Y., Voskov, D., Khait, M., Bruhn, D. (2020). An efficient numerical simulator for geothermal simulation: A benchmark study. Applied Energy, 264. doi:10.1016/j.apenergy.2020.114693
O’Sullivan, M.J., Pruess, K., Lippmann, M.J., (2001). State of the art geothermal reservoir simulation, Geothermics, 30 (4), pp. 395-429. doi:10.1016/S0375-6505(01)00005-0
Garipov, T.T., Tomin, P., Rin, R., Voskov, D.V., Tchelepi, H.A., (2018). Unified thermo-compositional-mechanical framework for reservoir simulation, Computational Geosciences, 22 (4), pp. 1039-1057. doi:10.1007/s10596-018-9737-5
Saeid, S., Wang, Y., Daniilidis, A., Khait, M., Voskov, D. and Bruhn, D. (2020). Lifetime and Energy Prediction of Geothermal Systems: Uncertainty Analysis in Highly Heterogeneous Geothermal Reservoirs (Netherlands), World Geothermal Congress. World Geothermal Congress 2020.
Karimi-Fard, M., Durlofsky, L. J., & Aziz, K. (2003). An efficient discrete fracture model applicable for general purpose reservoir simulators. In SPE Reservoir Simulation Symposium. Society of Petroleum Engineers. doi:10.2118/79699-MS
de Hoop, S., Voskov, D. and Bertotti, G. (2019). Uncertainty quantification and history matching for naturally fractured carbonate reservoirs. Third EAGE WIPIC Workshop: Reservoir Management in Carbonates, Qatar. Reservoir Management in Carbonates
Bisdom, K., Bertotti, G. and Nick, H.M. (2016) The impact of different aperture distribution models and critical stress criteria on equivalent permeability in fractured rocks. Journal of Geophysical Research: Solid Earth, 121(5), pp.4045-4063. doi:10.1002/2015JB012657
Wang Y., de Hoop S., Voskov D., Bruhn D., Bertotti G. (2020). Modeling of High-Enthalpy Geothermal Projects in Fractured Reservoirs, World Geothermal Congress. World Geothermal Congress 2020.
de Hoop, S., Voskov, D.V., Vossepoel, and F.C. and Jung, A. (2018) Quantification Of Coarsening Effect On Response Uncertainty In Reservoir Simulation. In ECMOR XVI-16th European Conference on the Mathematics of Oil Recovery. doi:10.3997/2214-4609.201802223
Peng, D.-Y. and Robinson, D.B. (1976). A New Two-Constant Equation of State, Industrial and Engineering Chemistry Fundamentals, 15 (1), pp. 59-64. doi:10.1021/i160057a011
Kritchevsky, I. and Illiinskaya, A. (1945). Partial molal volumes of gases dissolved in liquids. Acta Physicochimica (URSS). doi:10.1016/0378-3812(82)80033-2
Voskov, D.V., Henley, H., Lucia, A., 2017. Fully compositional multi-scale reservoir simulation of various CO2 sequestration mechanisms, Computers and Chemical Engineering, 96, pp. 183-195. doi:10.1016/j.compchemeng.2016.09.021
Kala, K. and Voskov, D. (2019). Element balance formulation in reactive compositional flow and transport with parameterization technique, Computational Geosciences. doi:10.1007/s10596-019-9828-y
de Hoop, S., Voskov, D. (2019). Parametrization Technique for Reactive Multiphase Flow and Transport, In. SIAM Geosciences. Video Presentation at SIAM GS19
Snippe, J., Berg, S., Ganga, K., Brussee, N., Gdanski, R. (2020) Experimental and numerical investigation of wormholing during CO2 storage and water alternating gas injection, International Journal of Greenhouse Gas Control, 94, art. no. 102901 . doi:10.1016/j.ijggc.2019.102901
Gong J., Vincent-Bonnieu S., Kamarul Bahrim R., Groenenboom J., Farajzadeh R., Rossen W. (2018) Modelling of liquid injectivity in surfactant-alternating-gas foam enhanced oil recovery. In SPE EOR Conference at Oil and Gas West Asia. Society of Petroleum Engineers, 2018. doi:10.2118/190435-MS
Tang, J., Vincent-Bonnieu, S., Rossen, W.R. (2019) CT coreflood study of foam flow for enhanced oil recovery: The effect of oil type and saturation. Energy, 188, art. no. 116022. doi:10.1016/j.energy.2019.116022
Peters, E., Arts, R.J., Brouwer, G.K., Geel, C.R., Cullick, S., Lorentzen, R.J., Chen, Y., Dunlop, K.N.B., Vossepoel, F.C., Xu, R., Sarma, P., Alhutali, A.H., Reynolds, A.C. (2010). Results of the brugge benchmark study for flooding optimization and history matching, SPE Reservoir Evaluation and Engineering, 13 (3), pp. 391-405. doi:10.2118/119094-PA