Task 6: Reservoir simulation tools

These are the projects in Task 6.

Project title: Adding more physics, chemistry and geological realism into the reservoir simulator
Project manager: Robert Klöfkorn/Ove Sævareid
Objective: The main objective of this project is to provide modeling methodology and simulation capabilities for IOR. This includes the following research topics: Field scale simulation of «modified water» injection, representation of brine-dependent behaviour in terms of mathematical models, transferring lab-scale mechanisms to field scale, field scale simulation of fracture systems, including imbibition effects controlled by water-rock chemistry on field scale and implementing the results of the above in the Open Porous Media (OPM) framework.

Project title: Advanced Numerical Methods for Compositional Flow Applied to Field Scale Reservoir Models (PhD project)
Project manager: Robert Klöfkorn/Ove Sævareid
Objective: The main objective of this project is to investigate and establish higher order numerical methods for modeling IEOR processes in reservoir simulation tools. Prototype implementations will be provided within the Open Porous Media (OPM) project and a compositional flow module for the black oil flow simulator in OPM will be provided. The key elements will be: Higher order approximations, including thermal effects, with appropriate coupling to the flow simulator. Inclusion of field scale «smart water» simulation where thermal effects cannot be neglected. The PhD project consists of three main parts: studying and implementing higher order schemes, coupling the scheme with the black oil flow model and field-scale study. All of the activities will be carried out under the OPM code base.

Project title: CO2 Foam EOR Field Pilots (PhD project)
Project manager: Arne Graue (UiB)
Objective: The project aims to understand large-scale CO2 mobility control using foam from onshore field pilots based in the USA. The primary objective of the project is to develop CO2 foam mobility control technology for EOR and aquifer storage on the NCS. As a secondary objective, improved modeling of CO2 foam processes will be established by upscaling the results from laboratory scale to reservoir scale based on the pilot results.

Project title: Upscaling of chemo-mechanical compaction to field scale models
Project manager: To be decided
Objective: This is a Postdoc project is linked to both Theme 1 and Theme 2. The project will integrate lab and field research, and moreover contribute to upscaling of lab-results into full field simulation tools.
The main objectives of the project are:

  • To investigate different coupling strategies for the flow and mechanics solvers
  • To construct appropriate constitutive models that incorporate the effect of chemical processes on mechanical rock properties in connection with the «full system» (i.e. poro-chemo-mechanical)simulations
  • To explore the possibility of using the full system simulations to construct simplified but sufficiently accurate phenomenological models that relate localized chemo-mechanical effects to fluid pressure.


  • Arne Stavland

    Task 1: Core scale

    Task leader: Arne Stavland, NORCE

    The aim of this task is to design novel experiments on core scale and develop models that capture the transport mechanisms observed. The deliverables of this task will be chemical systems that can improve the microscopic and microscopic sweep on clastic and chalk fields.

    Read more about the projects in Task 1 here

  • Udo Zimmermann

    Task 2: Mineral fluid reactions at nano/submicron scale

    Task leader: Udo Zimmermann, UiS

    The research focuses on rock-fluid interactions when injecting fluids into rock formations, clastic or chemical sedimentary rocks. We use electron microscopy, Raman spectroscopy, specific surface area measurements and X-Ray Diffraction for further investigations of EOR related experiments. The geology of the hydrocarbon bearing formations plays a significant role.

    Read more about the projects in Task 2 here

  • Espen Jettestuen

    Task 3: Pore scale

    Task leader: Espen Jettestuen, NORCE

    The focus in this task is to study the interplay between fluid transport, mineral reactions and oil recovery in reservoir rocks at pore scale. The main aspects are to identify the mechanisms that influence transport and reactions on the pore scale using experiments and numerical modeling, and then to evaluate if these mechanisms are important on the core scale.

    Read more about the projects in Task 3 here

  • Aksel Hiorth

    Task 4: Upscaling and environmental impact

    Task leader: Aksel Hiorth, UiS/NORCE

    The main objective is to translate the knowledge we have about EOR processes on core scale to field scale. The deliverables from this task will be simulation models and work flows that can be used to design IOR operations and interpret IOR implementations.

    Read more about the projects in Task 4 here

  • Tor Bjørnstad

    Task 5: Tracer technology

    Task leader: Tor Bjørnstad, IFE

    The objective is the development of tracer technology to measure reservoir properties and (changing) conditions during production. The most important condition is the (remaining) oil saturation, either in the flooded volume between wells (interwell examinations) or in the near-well region out to some 10 m from the well (single-well huff-and-puff examinations).

    Read more about the projects in Task 5 here

  • Robert Klöfkorn

    Task 6: Reservoir simulation tools

    Task leader: Robert Klöfkorn, NORCE

    The primary objective of this task is to advance the state-of-the-art of modeling and simulation in context of reservoirs. Such advance is needed to cope with the challenges arising from scientific questions and targets of The National IOR Centre of Norway.

    Read more about the projects in Task 6 here

  • Geir Nævdal

    Task 7: Field scale evaluation and history matching

    Task leader: Geir Nævdal, NORCE

    We do history matching using 4D seismic data, tuning reservoir parameters to obtain reservoir models that are matching actual observations. We are using ensemble based methods, running with a set of different realizations of the parameter set and use statistical methods to tune the parameters. The outcome is models that are aligned with actual observations.

    Read more about the projects in Task 7 here