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An introduction to PFLOTRAN and its application to CO 2 geological storage problems PowerPoint Presentation

An introduction to PFLOTRAN and its application to CO 2 geological storage problems

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and its application to CO2 geological storage problems

Edinburgh, 10 January 2014

Paolo Orsini

Parallel n-phases n-components reactive flow code for modeling sub-surface processes, developed by the cooperation of four US national labs (LANL, PNNL, ORNL, LBNL):

Open Source GNU Lesser General Public License (LGPL)

Object oriented programming (F95, F2003-2008): easy to extend and to incorporate additional processes

Parallel computation based on the PETSC library (ANL lab)

Parallel implementation tested on computer architectures with >100k processor cores

PFLOTRAN modeling capabilities

Solution of mass balance and energy equations that can be coupled sequentially to reactive-transport and quasi-static geo-mechanical models:

Single phase variable saturated flow (Richards equation)

TH (Thermal Hydrologic) Single phase variable saturated flow with variable density (function of p and T)

Immiscible CO2 – brine: non-isothermal two-phase flow

Supercritical CO2 – brine: non-isothermal two-phase two-components flow (Variable switch)

Development of a black oil model (FVFs) is at planning stage

- Variable saturated flow problems
- 270 M DOF
- Time[s]: wall clock time per time step

Example of parallel performance on a super computer: Richards Equation (Hanford 300 Area)

- CO2-Brine: 25 M cells
- Yellowstone machine: 8000 cores
- Flow: 3 DOF
- Transport: 10 DOF
- Time[s] for 10 flow step + 14 transport steps

Example of parallel performance on a super computer: CO2-Brine

PETSc (Portable extensible toolkit for scientific computing) parallel framework - overview

Data structure for a parallel (CSR matrices, Blocked CSR matrices, distributed arrays, etc)

Non linear solvers (Newton-based methods)

Pre-conditioners ( Additive Swartz, ILU, etc..)

Time stepper algorithms (Euler, Backward Euler, etc)

Krylov Subspace methods (GMRES, CG, CGS, etc)

Space: Control volume (structured and unstructured grids), two point flux formula, MFD under development

Time:

Flow solvers: implicit

Reactive transport

Fully implicit

Operator splitting (require less memory but also to satisfy the CFL condition for stability

Coupling

Sequential between flow and reactive transport

Parallelisation based on overlapping-domain decomposition (each processor is assigned to a sub-domain): accumulation terms are easy to compute because are local operations, computation of fluxes require message passing

To evaluate a local function f(x), each process requires the local portion of x and its ghosted part (overlapping part)

General n-phase n-components mass balance and energy equations

Mass balance equation

Energy equation

- sαphase saturation, η molar density,Xiαmolar fraction of componentiin phaseα, Dαphase diffusivity coefficient, φporosity, Henthalpy, Uinternal energy, ρrrock density, κthermal diffusivity coefficient, kαrelative permeability,ksaturated media permeability

General n-phase n-components mass balance and energy equations: degrees of freedom

Gibbs phase rule

Open System

Unknowns

Constraints

Degrees of freedom (Ndof)

MPHASE - CO2-Brine module: governing equations equations: degrees of freedom

Two phase [gas, liquid], two components [CO2, H2O]: 3 DOF

Two component mass balance:

MPHASE – CO2-Brine module: auxiliary variables equations: degrees of freedom

The pure CO2 properties, which depend on P and T, are computed with the Spang & Wagner (1994) EOS. They are tabulated before the computation, and a look-up table is used during the simulation

Brine/CO2 mixture density Duan (2008):

Solubility of CO2 in brine, Duan and Sun (2003):

Solution procedure by variable switch approach

MPHASE CO2-Brine Module: pressure and temperature range limits

The code standard release is limited to Supercritical CO2, however the real limit is the number of phases (CO2 liquid and gas cannot coexist)

Geomechanics limits Model

Governing equations (quasi-static equilibrium)

- λ and μ are the Lame parameters, related to the Young’s modulus and Poisson ratio.α= coefficient of thermal expansionβ=Biot’s coefficient

- Equation is solved with the limitsGalerkin finite element method.
- One-way coupling with the flow solver via pressure and temperature, which are available at the control volume cell centres.
- The geo-mechanics does not need to be solved at every flow time step.
- The cell centres are the nodes of the finite element mesh, so there is no need of interpolating P and T. (Voronoi mesh)

Geomechanics model – Discretisation

- CV mesh for flow solution

- FEM mesh geomechanics

PFLOTRAN – Pre-Post processors limits

There is no specific pre-processor

Geological model and grid generation with external software

Several mesh formats: (i) structured with variable spacing [internal generator], (ii) implicit unstructured [list of nodes and connectivity table for hex, wedges, pyramids and tets], (iii) explicit unstructured [list of cell centre volumes and connecting faces, for general polyhedrons]

Simulation control parameters, BCs and ICs via flexible text files

Post-processor

Open source, VisIt, ParaView. Both can post-process remotely, on parallel architectures (auto-reassembling).

Commercial software: Tecplot

Input deck file to set up the simulation control limitsparametres – organised in cards

Grid (internal mesh generator or external mesh)

Specify flow mode (the application module: e.g. CO2-brine, Richards)

Material properties

Capillary & relative permeability functions

Regions: interior domain and surfaces

Geometry may be specified independent of grid

Initial & boundary conditions, source/sinks for flow and transport

Coupler: to couple regions with initial and boundary conditions

Solvers (direct, Iterative)

Time stepping

Output

Checkpoint/Restart

Input deck file example: grid, regions, material, strata limits

Each card containing multiple instructions starts by its key word and ends by “END” or “/”

Input deck file example: flow conditions & initial and boundary condition couplers

A line of the input deck file can be commented using “:”, a block using the “skip”/“noskip” key words. The cards can be inserted in any order.

Input deck file example: output, restarts, observations boundary condition couplers

Geomechanics boundary condition couplers Model – Demo test case

3D domain with CO2 being injected at the centre of the domain in a deep aquifer formation. Deformation in the domain is considered due to injection.

- overburden

- caprock

- reservoir

- basement

Geomechanics boundary condition couplers Model – Demo case parameter

Problem domain: 2500 x 2500 x 1000 m (x y z)

Grid resolution 21 x 21 x 20 for subsurface grid

CO2 injection rate: 10 kg/s

Young's modulus: 10 Gpa(sandstone)

Poisson's ratio: 0.3

Biot Coefficient: 1.0

Coefficient of Thermal Expansion: 10-5 Pa/K

Total injection time: 20 y

Simulation time: 100 y

Displacement in normal directions are set to zero. Top boundary face is free to move

Geomechanics boundary condition couplers Model – Demo case: CO2 saturation

Geo-mechanics Model – Demo case: relative vertical displacement

- Case study: displacementSleipner – commercial CO2 storage site
- Reservoir: Utsira formation at a depth of 800-1100 m, average porosity 36%, permeability range from 1000 to 5000 md. Residual gas saturation = 0.21.
- Many horizontal intra-formation shale layers (0.5 – 2 m thick) that affects the CO2 flow through the reservoir
- Caprock, shale units with a low permeability of ~ 0.001 md
- CO2 just above critical conditions on the uppermost layer (Pressure ~80 bars, Temperature ~ 29-33 C)
- CO2 injected over a 38 m interval of a deviated well at 1012 m depth
- Injection of about 1Mton of CO2 per year since 1996

- Sleipner displacement - Seismic cross section - 2008

Layer 9

- Sleipner displacement L9 layer – benchmark released by STATOIL
- Uppermost point L9 model = -800 m b.s.l. Sea bed ~80 m b.s.l. (T=7 °C). Injection location, (spill/leakage from underneath layer): x~1600m, y~2100m.

- Injection location

- MESH and topography (vertical direction out of scale with horizontal direction)
- Grid: dx=dy=50m, dz~1m (17 layers). Unstructured grid (~310k) prisms. A mesh created by STATOIL for ECLIPSE was converted to the PFLOTRAN format.

- Parameters controlling the CO2 plume location and distribution
- Caprock topography
- Mass rate from the underneath layer (volume rates estimated by structural analysis and seismic measurements Chadwick & Noy 2010)
- Temperature. Variations close to the CO2 critical temperature value cause large changes in density and viscosity (->mobility)
- Permeability changes with phase saturation. The relative permeability parameters used in SPE-134891 are adopted (Corey 1958).
- Capillary pressure has been neglected as suggested in SPE-134891.

CO2 properties distribution

- Computed with the Spang and Wagner EOS implemented in PFLOTRAN:
- Density limits 500-700 kg/m3 as suggested by Alnes et al (2011)
- Viscosity doubles with 3 °C temperature reduction

- Numerical model set up distribution
- Initial conditions:
- Hydrostatic pressure: ~ P[8.24, 7.98] MPa
- Temperature: (a) T=35 °C, rho~500 m3/kg; (b) T= 29 °C, rho~700 m3/kg (Alnes et al 2011)

- Boundary conditions: (i) top and bottom layer considered perfectly impermeable (replaced by zero flux condition), (ii) side boundaries hydrostatic pressure, (iii) Injection temperature (a) -> T=35 °C, (b) -> T=29 °C
- Material properties. Rock thermal properties: rho=2600 kg/m3, cp=920 J/kg/°C, ĸ=2.51 W/m/°C (saturated medium). Permeability and porosity assigned cell by cell (Kh~10-12 m2, η~0.35), Kv/Kh=0.1.

- PFLOTRAN – history matching distribution

- Top down view of the layer-9 CO2 saturation contour

- 2002

- 2004

- 2006

- 2008

- Monitoring data acquired via repeated seismic and gravimetric surveys by STATOIL

- ECLIPSE 100 (Oil – gas system) - history matching distribution

- To conclude distribution
- PFLOTRAN is distributed by BitBucket, a distributed version control system (DVCS): https://bitbucket.org/pflotran/pflotran-dev/wiki/Home
- PFLOTRAN website: www.pflotran.org
- User-group forum: google group
- We are planning to the development of a black oil model within PFLOTRAN: we welcome any suggestion regarding the best type of formulation to implement, and also ideas on how to fund the development

Thank you distribution

- Can be used in the THC and distributionCO2-brine flow modules
- Dual continuum. Primary: fracture (f), ε=Vn/V; secondary matrix (m)
- Different shape are available for the secondary media (nested sphere, slabs, etc)
- The solution for the temperature in the secondary media is local (1D) and easy to parallelise

Energy Equation – Thermal conduction multiple continuum model

PETSC framework – flow of control distribution

PFLOTRAN distribution

Geo-Mechanical model

- x rel. displacement distribution

Geomechanics model – Demo case:

Cross section plane; relative displacement vectors at 20 years

- z rel. displacement

Evolution of damage: distribution

Continuum Damage Formulation (not implemented yet):

Empirical model for the propagation of micro-fractures: A.P.S. Selvadurai.

Introduces a continuum hydromechanical damage parameter, D.

Hydromechanical damage modifies the bulk modulus and permeability.

Equivalent shear-strain:

Where:

- Two primary effects of damage: distribution

Increase in hydraulic conductivity:

Damage grows where the material deformations are dilatational:

Reduction in bulk modulus:

- Model is valid up to a critical damage; Dc, beyond which the porousskeleton breaks down and macro-fractures dominate.

Representative parameters for sandstone (Selvadurai):

Damage

Increase in hydraulic conductivity

- Large increase in hydraulic conductivity as the injection location is approached.
- Pre-damaging the injected medium in this way allows a lower injection pressure for a given mass flux.

Black oil module – formation volume factor approach of 200

RC: reservoir condition, STC: stock tank conditions,

Vdg: gas component in the oil phase

Black oil model - development plan of 200

Black oil model is valid for dry gas, with a small percentage of volatile component dissolved in the oil phase. The same mathematical formulation can be used for wet and gas condensate with a small oil vapour component

Implementation of look-up tables to load the properties required (FVFs, Rs , viscosity) that depend on pressure.

The module will be fully integrated into the PFLOTRAN parallel framework and released under the same open source licence

Any feedback on what you are not happy with the software you are using at the moment, or any other suggestion is very welcome

Span and Wagner accuracy of 200

Reactive Transport Model of 200

Conservation equation for primary species

Equilibrium mass action laws for aqueous species

Mineral kinetics (transition state theory)

Black oil module of 200

- Transport Equation: 4k cells, 12 species (~50k DOF) of 200
- Memory contention issues in the first 8 cores, good scalability after
- Time for each transport step

Example of parallel performance on a smaller cluster

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