@let@token flow an open source research tool for reservoir simulation … klofkorn.pdf · flow –...

Flow – an open source research tool forreservoir simulation

Robert Klöfkorn – IRIS & The National IOR Centre of Norway

April 27, 2016

Task 6 – Reservoir Simulation Tools

Pål (PostDoc UiS) Trine (PostDoc IRIS) Anna (PhDUiS/IRIS)

Steinar (Prof. UiS) Ove (IRIS) Robert (IRIS)Task Leader

Svein (Prof. UiS)Task Leader

Outline

1. Current status of OPM-Flow

2. Research Activities in Task 6Higher order schemes for reactive advection-diffusionModeling reactive advection-diffusion

3. Summary

2 / 23 Robert Klöfkorn

Outline

3. Summary

Open Porous Media Initiative (OPM)OPM encourages open innovation and reproducible research for modeling andsimulation of porous media processes. All OPM software is open-source.

Main contributors

I Statoil ASA (Alf B. Rustad, Joakim Hove, and many more)I SINTEF ICT (group of K.A. Lie, Atgeirr Rasmussen and many more)I IRIS Energy (Reservoir group)I Ceetron Solutions ASI A. Lauser (Poware)I M. Blatt (Dr. Blatt HPC Simulation and Service)

Other (current and former) partners:I Uni Research CIPRI University of BergenI TotalI University of StuttgartI University of Heidelberg

www.opm-project.org

Main contributors

www.opm-project.org

Main contributors

www.opm-project.org

Open Porous Media Initiative (OPM)

Installation (releases twice a year):

Open-source (GPL v3+)

I Ubuntu/Red Hat packing systemI Run OPM-Flow using a virtual machineI Install from source on Linux and Mac OS X

Installation (releases twice a year):

Open-source (GPL v3+)

I Ubuntu/Red Hat packing systemI Run OPM-Flow using a virtual machineI Install from source on Linux and Mac OS X

Installation (releases twice a year): Open-source (GPL v3+)I Ubuntu/Red Hat packing systemI Run OPM-Flow using a virtual machineI Install from source on Linux and Mac OS X

OPM-Flow Features

Fully implicit model formulation based on Automatic Differentiation:I black-oil with dissolved gas and vaporized oilI rock-dependent capillary and relative-permeability curvesI end-point scaling and hysteresisI oil vaporization control

EOR options:I Todd-Longstaff type polymer model with adsorption, dead-pore space,

permeability reduction, and shear effects (Flow-polymer)I extra component equation(s), such as a solvent model (Flow-solvent)

Performance:I 2014: ≈ 60× slower than Eclipse100 on SPE cases

I 2015: ≈ 8× slower than Eclipse100 on Norne field modelI 2016: ≈ 2.2× slower than Eclipse100 on Norne field model

Other features:I Code review via github merge requestsI Performance monitoring on linuxbenchmarking.orgI Parallel version of flow working for limited number of cores

OPM-Flow Features

Performance:I 2014: ≈ 60× slower than Eclipse100 on SPE casesI 2015: ≈ 8× slower than Eclipse100 on Norne field model

I 2016: ≈ 2.2× slower than Eclipse100 on Norne field model

OPM-Flow Features

Performance:I 2014: ≈ 60× slower than Eclipse100 on SPE casesI 2015: ≈ 8× slower than Eclipse100 on Norne field modelI 2016: ≈ 2.2× slower than Eclipse100 on Norne field model

OPM-Flow Features

Performance:I 2014: ≈ 60× slower than Eclipse100 on SPE casesI 2015: ≈ 8× slower than Eclipse100 on Norne field modelI 2016: ≈ 2.2× slower than Eclipse100 on Norne field model

NORNE field model (SOIL)

Visualization with ResInsight

NORNE field model (SWAT)

Visualization with ResInsight

NORNE field model (D-2H)

0 500 1000 1500 2000 2500 3000 3500

ECL.2014.2OPM-Flow

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ECL.2014.2OPM-Flow

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ECL.2014.2OPM-Flow

500000

1.5x106

2.5x106

0 500 1000 1500 2000 2500 3000 3500

ECL.2014.2OPM-Flow

NORNE field model (E-3H)

0 500 1000 1500 2000 2500 3000 3500

ECL.2014.2OPM-Flow

0 500 1000 1500 2000 2500 3000 3500

ECL.2014.2OPM-Flow

0 500 1000 1500 2000 2500 3000 3500

ECL.2014.2OPM-Flow

100000

200000

300000

400000

500000

600000

0 500 1000 1500 2000 2500 3000 3500

ECL.2014.2OPM-Flow

OPM-Flow future directions

Ongoing work:I More field cases (Model 2,...)I Enhanced solvent model (CO2,...)I Use OPM-Flow in history matching activities in Task 7I Coupling with IORSimI Improved overall performanceI Parallelization to many cores

Long term:I New non-linear solvers and splitting methodsI Higher order methods discretization methodsI Seamless integration with history matching and UQ

Except a bumpy ride.

Outline

3. Summary

Reactive Advection-Diffusion Problems

Motivation

Unlike water fronts, polymer fronts described by linear waves are not self-sharpening.

φ∂tc+∇ ·(uc−D(u)∇c

)= S(c)

Low Order Finite Volume Higher Order Finite Volume

R. Klöfkorn, D. Kröner, and M. Ohlberger. Local adaptive methods for convection dominatedproblems. Int. J. Numer. Methods Fluids, 40(1-2):79–91, 2002.

Motivation

)= S(c)

Low Order Finite Volume

Higher Order Finite Volume

Motivation

)= S(c)

Motivation

)= S(c)

Fully implicit higher order schemes for polymerflooding

Motivation

∂tρφso +∇ ·(ρouo(sw,o)

∂tρφsw +∇ ·(ρwuw(sw,o)

∂tR(c, sw) +∇ ·(cρwuwp(so, sw)

Challenges:I Fully implicit fully coupled formulationI Integration of slope limiter techniques

into OPM’s Automatic Differentiationframework

Trine S. Mykkeltvedt (IRIS), Xavier Raynaud (SINTEF), Knut-Andreas Lie (SINTEF).Fully implicit higher-order scheme applied to polymer flooding. In preparation.

Fully implicit higher order schemes for polymerflooding

Grid = 20× 20

Grid = 50× 50

Challenges:I Fully implicit fully coupled formulationI Integration of slope limiter techniques

into OPM’s Automatic Differentiationframework

Trine S. Mykkeltvedt (IRIS), Xavier Raynaud (SINTEF), Knut-Andreas Lie (SINTEF).Fully implicit higher-order scheme applied to polymer flooding. In preparation.

Higher order schemes in 3D on regular meshes

∂tc+∇ ·(uc) = 0

Logarithm of the CPU time

Logarith

Error Change w.r.t. CPU on Cartesian Grid

First Order

Second Order

EOC = 1

EOC = 0.5

Results on the Cartesian grid for thesecond order scheme (top-left) and the firstorder scheme (bottom-right).

A. Dedner and R. Klöfkorn.A Generic Stabilization Approach for Higher Order DiscontinuousGalerkin Methods for Convection Dominated Problems.J. Sci. Comput. 47(3):365–388, 2011.

Higher order schemes in 3D on regular meshes

∂tc+∇ ·(uc) = 0

Logarithm of the CPU time

Logarith

Error Change w.r.t. CPU on Cartesian Grid

First Order

Second Order

EOC = 1

EOC = 0.5

Results on the Cartesian grid for thesecond order scheme (top-left) and the firstorder scheme (bottom-right).

A. Dedner and R. Klöfkorn.A Generic Stabilization Approach for Higher Order DiscontinuousGalerkin Methods for Convection Dominated Problems.J. Sci. Comput. 47(3):365–388, 2011.

Higher order schemes on polyhedral meshes

Results on a grid consisting of hexagonalprims for the second order scheme(top-left) and the first order scheme(bottom-right).

Hexagonal prism grid

Anna Kvashchuk (UiS/IRIS), R. Klöfkorn (IRIS), and M. Nolte (Uni Freiburg).Higher Order Finite Volume Schemes on Polygonal and Polyhedral Grids.In preparation.

Anna Kvashchuk (UiS/IRIS), IOR Norway 2016, Poster.

Higher order schemes on polyhedral meshes

Results on a grid consisting of hexagonalprims for the second order scheme(top-left) and the first order scheme(bottom-right).

Hexagonal prism grid

Anna Kvashchuk (UiS/IRIS), R. Klöfkorn (IRIS), and M. Nolte (Uni Freiburg).Higher Order Finite Volume Schemes on Polygonal and Polyhedral Grids.In preparation.

Anna Kvashchuk (UiS/IRIS), IOR Norway 2016, Poster.

UiS Postdoc activity: Paper 1

Issue:

How would lab scale experiment behave on higher scale?

Consider MgCl2 which reacts with chalk in similar way as

seawater:

Dissolution + precipitation

of minerals

Exchange of ions at the surface

Obtain reaction kinetic parameters from core scale experiment

Scaled model for MgCl2 injection into

fracture-matrix geometry

Advection along fracture

Diffusion between matrix and

fracture

Ion exchange and dissolution +

precipitation in matrix

Important dimensionless numbers

Alfa: time scale ratio of diffusion to advection

Beta: volume ratio of matrix to fracture

Gamma: time scale ratio of reaction to advection

Time scale given in injected fracture volumes (FV)

Ex 3: Flow in different regions

• 3 regions with different fracture spacing and apertures, same volume

• Case with similar flux to each region (depends on parameters)

• Produced compositions from regions 1-3 and combined composition

• Even if the regions receive same amount of brine the interaction is

very different in each region (alfa * beta and beta * gamma)

P. Ø. Andersen and S. Evje. A Model for reactive flow

in fractured porous media. Chem. Eng. Sci. , 2016

Outline

3. Summary

SummaryCollaborations outside of the IOR Centre

I SINTEF ICTI Cluster of Excellence in Simulation Technology (University of Stuttgart)I Collaboration through DUNE, especially EXA-DUNE: Flexible PDE Solvers,

Numerical Methods, and Applications1. RWTH Aachen2. Heidelberg University3. University of Freiburg4. University of Heidelberg5. University of Münster6. University of Stuttgart7. University of Warwick and Imperial College London

I Colorado School of MinesI ...

I Task 6 research contributes to improved reservoir simulation capabilitiesI Research is supposed to be integrated into OPM

I Flow (OPM-SIMULATORS) allows for simulation of field scale modelsI Performance is currently addressed (right now within reach of the commercial

simulators)I Improve research transfer to industry relevant casesI Upcoming release 2016.04 (www.opm-project.org)I OPM Meeting at SINTEF in Oslo, June 1-2, 2016

Thank you for your attention.

Numerical Methods, and Applications (University of Heidelberg and others)I Colorado School of MinesI ...

@let@token flow an open source research tool for reservoir simulation … klofkorn.pdf · flow –...

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