The document describes a plan to inter-compare the PFLOTRAN and RepoTREND reactive transport codes. The plan involves:
1) A batch waste form simulation to compare radionuclide release from a instantly breaching nuclear waste form.
2) A full simulation of a generic salt repository with a mined drift, shaft, and aquifer to compare breakthrough curves and dose calculations.
3) PFLOTRAN has provided first results for the batch simulation showing radionuclide source terms and cumulative release over time. The next step is setting up the full repository simulation in PFLOTRAN.
Presentation given by Auli Niemi of Uppsala University on "PANACEA & TRUST Projects Status update" at the EC FP7 Projects: Leading the way in CCS implementation event, London, 14-15 April 2014
In order to determine a field’s hydrocarbon in place it is necessary to model the distribution of fluids throughout the reservoir. A water saturation vs. height (Swh) function provides this for the reservoir model. A good Swh function ensures the three independent sources of fluid distribution data are consistent. These being the core, formation pressure and electrical log data. The Swh function must be simple to apply, especially in reservoirs where it is difficult to map permeability or where there appears to be multiple contacts. It must accurately upscale the log and core derived water saturations to the reservoir model cell sizes.
This presentation clarifies the often misunderstood definitions for the free-water-level, transition zone and irreducible water saturation. Using capillary pressure theory and the concept of fractals, a practical Swh function is derived. Logs and core data from eleven fields, with very different porosity and permeability characteristics, depositional environments and geological age are compared. This study demonstrated how this Swh function is independent of permeability and litho-facies type and accurately describes the reservoir fluid distribution.
The shape of the Swh function shows that of the transition zone is related more to pore geometry rather than porosity or permeability alone. Consequently, this Swh function gives insights into a reservoir’s quality as determined by its pore architecture. A number of case studies are presented showing the excellent match between the function and well data. The function makes an accurate prediction of water saturations even in wells where the resistivity log was not run due to well conditions. The function defines the free water level, the hydrocarbon to water contact, net reservoir and the irreducible water saturation for the reservoir model. The fractal function provides a simple way to quality control electrical log and core data and justifies using core plug sized samples to model water saturations on the reservoir scale.
Presentation given by Auli Niemi of Uppsala University on "PANACEA & TRUST Projects Status update" at the EC FP7 Projects: Leading the way in CCS implementation event, London, 14-15 April 2014
In order to determine a field’s hydrocarbon in place it is necessary to model the distribution of fluids throughout the reservoir. A water saturation vs. height (Swh) function provides this for the reservoir model. A good Swh function ensures the three independent sources of fluid distribution data are consistent. These being the core, formation pressure and electrical log data. The Swh function must be simple to apply, especially in reservoirs where it is difficult to map permeability or where there appears to be multiple contacts. It must accurately upscale the log and core derived water saturations to the reservoir model cell sizes.
This presentation clarifies the often misunderstood definitions for the free-water-level, transition zone and irreducible water saturation. Using capillary pressure theory and the concept of fractals, a practical Swh function is derived. Logs and core data from eleven fields, with very different porosity and permeability characteristics, depositional environments and geological age are compared. This study demonstrated how this Swh function is independent of permeability and litho-facies type and accurately describes the reservoir fluid distribution.
The shape of the Swh function shows that of the transition zone is related more to pore geometry rather than porosity or permeability alone. Consequently, this Swh function gives insights into a reservoir’s quality as determined by its pore architecture. A number of case studies are presented showing the excellent match between the function and well data. The function makes an accurate prediction of water saturations even in wells where the resistivity log was not run due to well conditions. The function defines the free water level, the hydrocarbon to water contact, net reservoir and the irreducible water saturation for the reservoir model. The fractal function provides a simple way to quality control electrical log and core data and justifies using core plug sized samples to model water saturations on the reservoir scale.
CFD Lecture (8/8): CFD in Chemical SystemsAbhishek Jain
Above lecture can be downloaded from www.zeusnumerix.com
The presentation aims at explaining to the user the simulations that happen in the chemical industry. These simulations are characterized by the chemical reactions, mixing of fluids, particle flow etc. The standard NS equations requirement introduction of source terms and special methods for CFD simulations and these have been introduced.
DSD-INT 2017 Delft3D FM - validation of hydrodynamics (1D,2D,3D) - van DamDeltares
Presentation by Arthur van Dam, Deltares, Netherlands, at the Delft3D - User Days (Day 1: Hydrodynamics), during Delft Software Days - Edition 2017. Monday, 30 October 2017, Delft.
OECD Webinar | Assessing the dispersion stability and dissolution (rate) of n...OECD Environment
On Thursday 25 February 2021, Anne Gourmelon (Environment Directorate, OECD), Kathrin Schwirn (German Environment Agency, Umweltbundesamt, UBA); Frank von der Kammer (University of Vienna) Research and Development Center) and Doris Völker (German Environment Agency, Umweltbundesamt, UBA) presented the scope, content, and use of the Test Guideline No. 318: Dispersion Stability of Nanomaterials in Simulated Environmental Media and its accompanying Guidance Document. Further discussions focused on the scope of the upcoming Test Guideline.
The increased production and wide usage of manufactured nanomaterials suggest a higher probability of finding them in the environment. Therefore, testing the dissolution rate and dispersion stability for toxicity assessment are of paramount importance for adequate hazard assessment.
gSAFT: advanced physical properties for carbon capture and storage system modelling, Javier Rodriguez, Process Systems Enterprise Ltd. Presented at CO2 Properties and EoS for Pipeline Engineering, 11th November 2014
gSAFT: advanced physical properties for carbon
capture and storage system modelling - Presentation by Javier Rodriguez at the Effects of Impurities on CO2 Properties session at the UKCCSRC Cardiff Biannual Meeting 10-11 September 2014
Are Industrial Buildings Different? Implication of a Quantitative Vapor Intr...Chris Lutes
Lutes C., K. Hallberg, J. Lowe, L Lund, M. Novak, P. Venable, T. Chaudhry, I. Rivera-Duarte and D. Caldwell Are Industrial Buildings Different? Implication of a Quantitative Vapor Intrusion at DoD Industrial Buildings Nationwide; Presented at Third International Symposium on Bioremediation and Sustainable Environmental Technologies (Battelle Symposium); Miami Florida 2015
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
06b PFLOTRAN-RepoTREND Code Inter-comparison: Inter-comparison Plan & First PFLOTRAN Results
1. PFLOTRAN-RepoTREND Code Inter-comparison:
Inter-comparison Plan & First PFLOTRAN Results
Jennifer M. Frederick, Emily R. Stein,
and S. David Sevougian
Sandia National Laboratories
Middelburg, The Netherlands
September 5-7, 2017
Sandia National Laboratories is a multi-mission laboratory managed and operated by
National Technology and Engineering Solutions of Sandia LLC, a wholly owned subsidiary
of Honeywell International Inc. for the U.S. Department of Energy’s National Nuclear
Security Administration under contract DE-NA0003525. SAND2017-9098-C.
2. Code Inter-comparison Plan
What is a code inter-comparison?
A comparison between two or more codes (software or programs)
meant to verify* or benchmark the codes
Based on results of the same* simulation
PFLOTRAN (used and partially developed at Sandia
National Laboratories, New Mexico, USA)
RepoTREND (used and developed by GRS, Germany)
Do you want to join with your software?
2
Same problem set-up or description,
but
implemented in each code
independently
ensure mathematical equations are being solved
correctly
Contact David Sevougian
sdsevou@sandia.gov
3. Reactive multiphase flow and transport code for porous media
Open source license (GNU LGPL 2.0)
Object-oriented Fortran 2003/2008
Pointers to procedures
Classes (extendable derived types with
member procedures)
Founded upon well-known (supported) open source libraries
MPI, PETSc, HDF5, METIS/ParMETIS/CMAKE
Demonstrated performance
Maximum # processes: 262,144 (Jaguar supercomputer)
Maximum problem size: 3.34 billion degrees of freedom
Scales well to over 10K cores
3
4. Nuclear waste disposal
Waste Isolation Pilot Plant (WIPP) in Carlsbad, NM
DOE Spent Fuel and Waste Science & Technology Program
SKB Forsmark Spent Fuel Nuclear Waste Repository (Sweden, Amphos21)
Climate: coupled overland/groundwater flow; CLM
Next Generation Ecosystem Experiments (NGEE) Arctic
DOE Earth System Modeling (ESM) Program
Biogeochemical transport modeling
CO2 sequestration
Enhanced geothermal energy
Radioisotope tracers
Colloid-facilitated transport
4
~7800 m
10,892,330 hexes 1024 cores ~2 hours
Simulation by Emily Stein, SNL
5. PFLOTRAN-RepoTREND Comparison Table
5
Comparison Topics PFLOTRAN RepoTREND*
Repository Concepts
Near-field (EBS/CRZ) 3D/2D/1D
Coupled
compartments
(LOPOS)
1D-Diffusion
(CLAYPOS)
Far-field (Geosphere) 3D/2D/1D 1D (GeoTREND)
Biosphere
Dose and water well/pumping
under development
BioTREND
Process Physics
Flow
Single-phase Yes Yes
Multi-phase Yes (air/water) No
Miscible multi-phase Yes No
Permeability Tensor
Anisotropic, diagonal
components only
No
Variable phase density Yes No
Variable phase viscosity Yes No
Soil compressibility Yes No
Reactive Transport
Advection First-order upwinding Yes
Diffusion Yes Yes
Mechan. dispersion Yes Yes
Sorption
Sorption onto solids and
colloids with elemental
material-specific Kd values
Yes (Kd concept)
Dissolution and Precipitation Yes Yes
Geochemistry
Aqueous speciation, surface
complexation, ion exchange
No
Source/Sink ‚Sandbox‘
Customizable source or sink
with a user-defined reaction
No
Energy (Heat)
Conduction
Material-specific conductivity,
specific heat
No
Convection
Density-driven flow (density a
function of temperature)
No
Geomechanics
3D, finite element, elastic, no
mesh deformation
6. PFLOTRAN-RepoTREND Comparison Table
6
Comparison Topics PFLOTRAN RepoTREND*
Radionuclides
Number of RNs
No limit except for practicality in
computation time (~15)
Unlimited
Decay chain
Decay and ingrowth with implicit
solution in solid and aqueous
phases
Decay and ingrowth
in all compartments
Waste package
(source term)
Waste form
Number of RNs
No limit except for practicality in
computation time (~15)
Unlimited
Decay Chain
Decay and ingrowth with explicit
solution
Decay and ingrowth
in all compartments
Degradation/release mechanism
Slow dissolution or
instantaneous release, custom
dissolution rates or rates
coupled to simulated T,pH,Q
values.
Instantaneous release
or mobilization models
for vitrified, cemented
or LWR waste
Waste Package Degradation
Waste package lifetime and
performance terms, distributed
breach times with rates coupled
to simulated T values.
Instantaneous failure or
linear, exponential or
normal distributed
failure
Discretization
Grid/Meshing Structured and unstructured
Compartment model
(LOPOS)
1D-Grid (CLAYPOS,
GeoTREND
Serial/Parallel
Serial and parallel using domain
decomposition via PETSc library
Serial
(parallel for
probabilistic)
Solution method
Numerical Method
Finit volume, Newtons method
using PETSc library package
Balance calculation
(LOPOS)
Implicit solver
(CLAYPOS)
Flow & Transport Coupling Sequential
Transport & Reaction Coupling Global implicit
7. PFLOTRAN-RepoTREND Comparison Table
7
Comparison Topics PFLOTRAN RepoTREND*
I/O and data exchange
Input
*.in file (ASCII file with
structured keywords)
JSON file
Output
HDF5 and Formatted ASCII (VTK,
TECPLOT)
Formatted ASCII
Data exchange
HDF5 and Formatted ASCII
databases
Formatted ASCII
Documentation
Available at
pflotran.org/documentation
Documentation is version
controlled in sync with the
software version control.
Short English
documentation can be
provided, detailed
documentation only in
German
License Open source GPL,
bitbucket.org/pflotran/pflotran-dev
Private
Quality Assurance
Regression Tests
More than 200 tests that must
be run before changes to the
code become adopted.
Only for new codes
(GeoTREND, BioTREND)
Unit tests
Several tests that examine
changes in output files when
changes to code occur.
Verification Test Suite
More than 50 tests which
calculate error against analytical
solutions for fluid flow, energy,
and mass transport. Automatic
convergence testing is planned.
Version Control Git with hosting on bitbucket.org svn
8. Code Inter-comparison Plan
The PFLOTRAN-RepoTREND inter-comparison plan
consists of:
A “batch” waste form simulation to compare the source term
spent nuclear fuel waste form that breaches instantly
RN inventory: 241Am -> 237Np -> 233U -> 229Th and 129I
comparison metric: evolution of RN release [mol-RN/m3/yr]
A ‘full’ simulation of a generic salt repository
a single mined drift within a salt body undergoing creep closure
a single vertical shaft that connects the drift to an aquifer above
uses same waste form inventory as tested in the batch simulation
transport can occur via advection and diffusion
comparison metric: break-through curves of each RN at specified
points in aquifer and salt body, and dose calculation at a water well in
aquifer 8
single grid cell simulation
9. “Full” Salt Repository Simulation
shaft
Area of detail
A
B
C
Well for dose
calculation
Pwest
Peast
Flow through aquifer layer
500m
2000 m
Salt
(785m thick)
Aquifer
(15m thick)
Overburden
(400m thick)
Observation points A, B, and C
N
(0,0,0)
1200m
A (600m,600m,-200m) in overburden
B (1600m,600m,-500m) in salt
C (1800m,600m,-407m) in aquifer
Center of drift (600m,600m,-500m)
T = 300K (uniform)
9
10. “Full” Salt Repository Simulation
5 m
5 m
Area of detail
Drift with
backfill
DRZ
5/3 m
5/3 m
5 m
5/3 m
5/3 m
10 m
center-to-center
PFLOTRAN will model total waste inventory as 80 waste forms spaced 10m c2c
RepoTREND will model total waste inventory as a homogeneous mass within drift.
waste
form
10
12. Waste Inventory
12
129I 241Am 237Np 233U 229Th
Kd value [mL/g] 0 62.5 5.5 0.6 550
Decay rate [1/s] 1.29e-15 5.08e-11 1.03e-14 1.38e-13 2.78e-12
Element solubility
limit [mol/L]
unlimited 6e-6 1e-9 4e-10 4e-7
Mass fraction in
waste form* [g/g]
2.17e-4 1.01e-3 9.72e-4 3.01e-8 1.03e-11
Total inventory (g) 1.3e5 6.07e5 5.85e5 1.81e1 6.19e-3
* PFLOTRAN requires a mass fraction, but RepoTREND should use the next row, total inventory.
* These mass fractions are based on 12-PWR 100 y OoR waste.
243Am 234U 236U 238U 230Th
Kd value [mL/g] 62.5 0.6 0.6 0.6 550
Decay rate [1/s] 2.98e-12 8.90e-14 9.20e-16 4.87e-18 2.75e-13
Element solubility
limit [mol/L]
6e-6 4e-10 4e-10 4e-10 4e-7
Mass fraction in
waste form* [g/g]
1.87e-4 3.55e-4 4.35e-4 6.32e-1 7.22e-8
Total inventory (g) 1.125e5 2.135e5 2.616e5 3.8e8 4.342e1
RNs
considered
as waste
extra RNs
for more
accurate
solubility
calculation
13. Batch Simulation: First PFLOTRAN Results
First PFLOTRAN results for the batch simulation
designed to compare the source term calculation from dissolving
spent nuclear fuel waste forms
13
spent nuclear fuel
• RN inventory: (shown previously)
• 241Am -> 237Np -> 233U -> 229Th and 129I
• based on 12-PWR 100 y OoR waste
• 80 waste forms make up total inventory
• Breach time is t = 0 yrs
• Fractional dissolution rate is 1x10-7 1/yr