Øystein S. Klemetsdal: Reservoir modelling and simulation with MRST. Transform 2021, Software Underground, 20 April 2021

In the first part of this tutorial, we show you how to get started with MRST, including navigating the modules, constructing a geomodel, and solving simple flow problems. In the second part, we describe the numerical framework, before we advance to more complex problem solving, including multiphase flow simulations and visualization.

Knut-Andreas Lie: Building an Open-Source Community Code: the MATLAB Reservoir Simulation Toolbox (MRST). GeoScience & GeoEnergy Webinars, 27 August 2020

In this webinar, we review the development of MRST from 2007 and up today:  # What is MRST and why call it a community code?  # How and why did it all start?  # How to make a community code -- going the extra mile  # Important technological steps on the way:       - complex grids, procedural libraries and modules,       - discrete operators and automatic differentiation       - object-oriented framework (AD-OO)       - state functions (dependency graph + compute cache)       - AD backends and high-performing iterative solvers

Knut-Andreas Lie: Introduction to reservoir simulation as practiced in industry, IPAM, UCLA, 2017

This lecture discusses the three basic parts making up a reservoir simulation model: (i) a volumetric grid with cell/face properties that describes the given porous rock formation; (ii) a flow model given as a set of partial differential equations expressing conservation of mass or volumes together with appropriate closure relations; and (iii) a well model that describes the flow in and out of the reservoir.  In particular, we introduce the black-oil equations  and point out some numerical challenges involved in reservoir simulation.

Stein Krogstad: Adjoint-based sensitivities in MRSTwith application to multi-segment well completion design, IPAM, UCLA, 2017

The lecture explains how you can compute adjoint-based sensitivities in MRST. Sensitivities for reseroir controls have been around for a while, but here we also explain how to compute gradient and sensitivities with respect to parameters. We present a simple example of valve model scaling for a multisegment well and an analysis/matching of model parameters for the Sleipner CO2 injection.

Multiscale Methods Summer School, Hasselt University, Belgium, June 2017

As part of a 4-day summer school on 'Upscaling techniques for mathematical models involving multiple scales' organised at Hasselt University, Knut-Andreas Lie gave four talks:

1. Introduction to flow simulation as used in reservoir engineering
2. Introduction to the MATLAB Reservoir Simulation Toolbox (MRST)
3. Flow-based upscaling of reservoir models
4. Multiscale methods for reservoir simulation