Browsing SINTEF Open by Author "Nilsen, Halvor Møll"
Now showing items 1-20 of 26
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A simulation workflow for large-scale CO2 storage in the Norwegian North Sea
Lie, Knut-Andreas; Nilsen, Halvor Møll; Andersen, Odd; Møyner, Olav (Journal article; Peer reviewed, 2015)Large-scale CO2 injection problems have revived the interest in simple models, like percolation and vertically-averaged models, for simulating fluid flow in reservoirs and aquifers. A series of such models have been collected ... -
An Open-Source Toolchain for Simulation and Optimization of Aquifer-Wide CO2 Storage
Andersen, Odd; Lie, Knut-Andreas; Nilsen, Halvor Møll (Journal article, 2016) -
Analysis of CO2 trapping capacities and long-term migration for geological formations in the Norwegian North Sea using MRST-co2lab
Nilsen, Halvor Møll; Lie, Knut-Andreas; Andersen, Odd (Journal article; Peer reviewed, 2015)MRST-co2lab is a collection of open-source computational tools for modeling large-scale and long-time migration of CO2 in conductive aquifers, combining ideas from basin modeling, computational geometry, hydrology, and ... -
Categorization of Norwegian Continental Shelf formations in terms of geological CO2 storage potentials
Allen, Rebecca; Nilsen, Halvor Møll; Andersen, Odd; Lie, Knut-Andreas (Journal article; Peer reviewed, 2017)In the present study, we use data published alongside the Norwegian Petroleum Directorate (NPD) storage atlases to further investigate the storage capacity of 23 formations found in the Norwegian Continental Shelf. Our ... -
Combining the modified discrete element method with the virtual element method for fracturing of porous media
Nilsen, Halvor Møll; Larsen, Idar; Raynaud, Xavier (Journal article; Peer reviewed, 2017)Simulation of fracturing processes in porous rocks can be divided into two main branches: (i) modeling the rock as a continuum enhanced with special features to account for fractures or (ii) modeling the rock by a discrete ... -
Comparison between cell-centered and nodal-based discretization schemes for linear elasticity
Nilsen, Halvor Møll; Nordbotten, Jan Martin; Raynaud, Xavier (Journal article; Peer reviewed, 2017)In this paper, we study newly developed methods for linear elasticity on polyhedral meshes. Our emphasis is on applications of the methods to geological models. Models of subsurface, and in particular sedimentary rocks, ... -
Constraint Preserving Mixers for the Quantum Approximate Optimization Algorithm
Fuchs, Franz Georg; Lye, Kjetil Olsen; Nilsen, Halvor Møll; Stasik, Alexander Johannes; Sartor, Giorgio (Peer reviewed; Journal article, 2022)The quantum approximate optimization algorithm/quantum alternating operator ansatz (QAOA) is a heuristic to find approximate solutions of combinatorial optimization problems. Most of the literature is limited to quadratic ... -
Efficient adjoint-based well-placement optimization using flow diagnostics proxies
Krogstad, Stein; Nilsen, Halvor Møll (Peer reviewed; Journal article, 2021)Model-based optimization of placement and trajectories of wells in petroleum reservoirs by the means of reservoir simulation forecasts is computationally demanding due to the high number of simulations typically required ... -
Efficient flow diagnostics proxies for polymer flooding
Krogstad, Stein; Lie, Knut-Andreas; Nilsen, Halvor Møll; Berg, Carl Fredrik; Kippe, Vegard (Journal article; Peer reviewed, 2017)Flow diagnostics refers to a family of numerical methods that within a few seconds can compute visually intuitive quantities illuminating flow patterns and well connections for full 3D reservoir models. The starting point ... -
Evaluating thermal losses and storage capacity in high-temperature aquifer thermal energy storage (HT-ATES) systems with well operating limits: insights from a study-case in the Greater Geneva Basin, Switzerland
Collignon, Marine; Klemetsdal, Øystein Strengehagen; Møyner, Olav; Alcanié, Marion; Rinaldi, Antonio Pio; Nilsen, Halvor Møll; Lupi, Matteo (Journal article; Peer reviewed, 2020)High-temperature aquifer thermal energy storage (HT-ATES) may play a key role in the development of sustainable energies and thereby in the overall reduction of CO2 emission. To this end, a thorough understanding of the ... -
Fully-implicit simulation of vertical-equilibrium models with hysteresis and capillary fringe
Nilsen, Halvor Møll; Lie, Knut-Andreas; Andersen, Odd (Journal article, 2015)Geological carbon storage represents a new and substantial challenge for the subsurface geosciences. To increase understanding and make good engineering decisions, containment processes and large-scale storage operations ... -
Investigating simplified modeling choices for numerical simulation of CO2 storage with thermal effects
Andersen, Odd; Nilsen, Halvor Møll (Journal article; Peer reviewed, 2018)Temperature is a key variable for the modeling of geological CO2 storage, and any simulation model must take it explicitly or implicitly into account. In the most basic case, the assumption of reservoir temperature is ... -
Modeling geomechanical impact of fluid storage in poroelastic media using precomputed response functions
Andersen, Odd; Nilsen, Halvor Møll; Gasda, Sarah Eileen (Journal article; Peer reviewed, 2017)When injecting CO2 or other fluids into a geological formation, pressure plays an important role both as a driver of flow and as a risk factor for mechanical integrity. The full effect of geomechanics on aquifer flow can ... -
Multiresolution Coupled Vertical Equilibrium Model for Fast Flexible Simulation of CO2 Storage.
Møyner, Olav; Nilsen, Halvor Møll (Journal article; Peer reviewed, 2018)CO2 capture and storage is an important technology for mitigating climate change. Design of efficient strategies for safe, long-term storage requires the capability to efficiently simulate processes taking place on very ... -
Numerical modeling of non-Newtonian fluid flow in fractures and porous media
Bao, Kai; Lavrov, Alexandre; Nilsen, Halvor Møll (Journal article; Peer reviewed, 2017)Non-Newtonian fluids having Bingham or power-law rheology are common in many applications within drilling and reservoir engineering. Examples of such fluids are drilling muds, foams, heavy oil, hydraulic-fracturing and ... -
On obtaining optimal well rates and placement for CO2 storage
Allen, Rebecca; Nilsen, Halvor Møll; Andersen, Odd; Lie, Knut-Andreas (Journal article; Peer reviewed, 2017)Large-scale storage of CO2 in saline aquifers is considered an essential technology to mitigate CO2 emissions. Storage potential has mainly been estimated based on volumetrics or detailed simulations for specific injection ... -
Ranking and categorizing large-scale saline aquifer formations based on optimized CO2 storage potentials and economic factors
Allen, Rebecca; Nilsen, Halvor Møll; Andersen, Odd; Lie, Knut-Andreas (Journal article; Peer reviewed, 2017)The process of selecting a CO2 storage site involves evaluating many potentially suitable sites in terms of their storage potentials as well as their associated technical and economic limitations. As such, it is useful to ... -
Rapid Optimisation of the New Sleipner Benchmark Model
Watson, Francesca; Andersen, Odd; Nilsen, Halvor Møll (SINTEF Proceedings;7, Chapter; Peer reviewed; Conference object, 2021)A new Sleipner benchmark model has recently been released. Basic petrophysical parameters are included in the dataset but it is intended that further modelling work should be carried out in order to refine parameter ... -
Robust simulation of sharp-interface models for fast estimation of CO2 trapping capacity in large-scale aquifer systems
Nilsen, Halvor Møll; Lie, Knut-Andreas; Andersen, Odd (Journal article, 2015)Modeling geological carbon storage represents a new and substantial challenge for the subsurface geosciences. To increase understanding and make good engineering decisions, containment processes and large-scale storage ... -
Spill-point analysis and structural trapping capacity in saline aquifers using MRST-co2lab
Nilsen, Halvor Møll; Lie, Knut Andreas; Møyner, Olav; Andersen, Odd (Journal article; Peer reviewed, 2015)Geological carbon storage represents a substantial challenge for the subsurface geosciences. Knowledge of the subsurface can be captured in a quantitative form using computational methods developed within petroleum production. ...