EURAD-2 Deliverable 16.1 – State-of-the-art on high fidelity numerical simulations of strongly coupled processes for repository systems

Eric Laloy; Sergey V. Churakov; Baksay Attila; Jan Brezinsek; Anne-Catherine Dieudonné; Olaf Kolditz; Nikolaos I. Prasianakis; Luis Montenegro; Alba Mon Lopez; Ryan Santoso; Yuankai Yang; Jenna Poonoosamy; Gesa Ziefle; Francesco Freddi; Lorenzo Mingazzi; Xavi Pintado; Laura Asensio; Vicente Navarro; Romin Dagnelie; Clément Lynde; Anne-Julie Tinet; Fabrice Golfier F.; Marco De Lucia; Guangjing Chen; Ersan Demirer; Jan Stebel; Michal Béreš; Zoltan Böthi; Tamás Olasz; Jianfu Shao; Zhan Yu

EURAD-2 Deliverable 16.1 – State-of-the-art on high fidelity numerical simulations of strongly coupled processes for repository systems

Eric Laloy
, Sergey V. Churakov
, Baksay Attila
, Jan Brezinsek
, Anne-Catherine Dieudonné
, Olaf Kolditz
, Nikolaos I. Prasianakis
, Luis Montenegro
, Alba Mon Lopez
, Ryan Santoso
, Yuankai Yang
, Jenna Poonoosamy
, Gesa Ziefle
, Francesco Freddi
, Lorenzo Mingazzi
, Xavi Pintado
, Laura Asensio
, Vicente Navarro
, Romin Dagnelie
, Clément Lynde

Anne-Julie Tinet, Fabrice Golfier F., Marco De Lucia, Guangjing Chen, Ersan Demirer, Jan Stebel, Michal Béreš, Zoltan Böthi, Tamás Olasz, Jianfu Shao, Zhan Yu

Engineered and Geosystems Analysis

Research output › peer-review

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Abstract

This initial State-of-the-Art report describes the major coupled T-H-M-C processes in geological repository systems and the frontier of related model development. Particular focus is placed on the analysis of existing approaches and open research questions with respect to further developments of coupled codes and models for realistic multiscale simulation of repository systems. These include the use of machine learning and artificial intelligence for the acceleration of computer codes; sensitivity analysis, inverse modelling and optimisation; software engineering and collaborative platforms for model development. By the end of the WP-HERMES, this report will be complemented with the knowledge acquired during the course of the WP HERMES RD&D program.

Original language	English
Publisher	EURAD - European Joint Programme on Radioactive Waste Management
Number of pages	80
State	Published - 29 Sep 2025

Publication series

Name	EURAD2 Reports
Publisher	EURAD
No.	D16.1

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EURAD-2 Deliverable 16.1 – State-of-the-art on high fidelity numerical simulations of strongly coupled processes for repository systems.pdfFinal published version, 1.33 MBLicense: Other

Cite this

Laloy, E., Churakov, S. V., Attila, B., Brezinsek, J., Dieudonné, A.-C., Kolditz, O., Prasianakis, N. I., Montenegro, L., Mon Lopez, A., Santoso, R., Yang, Y., Poonoosamy, J., Ziefle, G., Freddi, F., Mingazzi, L., Pintado, X., Asensio, L., Navarro, V., Dagnelie, R., ... Yu, Z. (2025). EURAD-2 Deliverable 16.1 – State-of-the-art on high fidelity numerical simulations of strongly coupled processes for repository systems. (EURAD2 Reports; No. D16.1). EURAD - European Joint Programme on Radioactive Waste Management.

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title = "EURAD-2 Deliverable 16.1 – State-of-the-art on high fidelity numerical simulations of strongly coupled processes for repository systems",

abstract = "This initial State-of-the-Art report describes the major coupled T-H-M-C processes in geological repository systems and the frontier of related model development. Particular focus is placed on the analysis of existing approaches and open research questions with respect to further developments of coupled codes and models for realistic multiscale simulation of repository systems. These include the use of machine learning and artificial intelligence for the acceleration of computer codes; sensitivity analysis, inverse modelling and optimisation; software engineering and collaborative platforms for model development. By the end of the WP-HERMES, this report will be complemented with the knowledge acquired during the course of the WP HERMES RD\&D program.",

keywords = "Coupled processes, Numerical simulation, Repository, Radioactive waste, T-H-M-C, Machine learning, Artificial intelligence",

author = "Eric Laloy and Churakov, \{Sergey V.\} and Baksay Attila and Jan Brezinsek and Anne-Catherine Dieudonn{\'e} and Olaf Kolditz and Prasianakis, \{Nikolaos I.\} and Luis Montenegro and \{Mon Lopez\}, Alba and Ryan Santoso and Yuankai Yang and Jenna Poonoosamy and Gesa Ziefle and Francesco Freddi and Lorenzo Mingazzi and Xavi Pintado and Laura Asensio and Vicente Navarro and Romin Dagnelie and Cl{\'e}ment Lynde and Anne-Julie Tinet and \{Golfier F.\}, Fabrice and \{De Lucia\}, Marco and Guangjing Chen and Ersan Demirer and Jan Stebel and Michal B{\'e}re{\v s} and Zoltan B{\"o}thi and Tam{\'a}s Olasz and Jianfu Shao and Zhan Yu",

note = "RN - EURAD D16.1 Score=1",

year = "2025",

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day = "29",

language = "English",

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publisher = "EURAD - European Joint Programme on Radioactive Waste Management",

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Laloy, E, Churakov, SV, Attila, B, Brezinsek, J, Dieudonné, A-C, Kolditz, O, Prasianakis, NI, Montenegro, L, Mon Lopez, A, Santoso, R, Yang, Y, Poonoosamy, J, Ziefle, G, Freddi, F, Mingazzi, L, Pintado, X, Asensio, L, Navarro, V, Dagnelie, R, Lynde, C, Tinet, A-J, Golfier F., F, De Lucia, M, Chen, G, Demirer, E, Stebel, J, Béreš, M, Böthi, Z, Olasz, T, Shao, J & Yu, Z 2025, EURAD-2 Deliverable 16.1 – State-of-the-art on high fidelity numerical simulations of strongly coupled processes for repository systems. EURAD2 Reports, no. D16.1, EURAD - European Joint Programme on Radioactive Waste Management.

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AU - Laloy, Eric

AU - Churakov, Sergey V.

AU - Attila, Baksay

AU - Brezinsek, Jan

AU - Dieudonné, Anne-Catherine

AU - Kolditz, Olaf

AU - Prasianakis, Nikolaos I.

AU - Montenegro, Luis

AU - Mon Lopez, Alba

AU - Santoso, Ryan

AU - Yang, Yuankai

AU - Poonoosamy, Jenna

AU - Ziefle, Gesa

AU - Freddi, Francesco

AU - Mingazzi, Lorenzo

AU - Pintado, Xavi

AU - Asensio, Laura

AU - Navarro, Vicente

AU - Dagnelie, Romin

AU - Lynde, Clément

AU - Tinet, Anne-Julie

AU - Golfier F., Fabrice

AU - De Lucia, Marco

AU - Chen, Guangjing

AU - Demirer, Ersan

AU - Stebel, Jan

AU - Béreš, Michal

AU - Böthi, Zoltan

AU - Olasz, Tamás

AU - Shao, Jianfu

AU - Yu, Zhan

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N2 - This initial State-of-the-Art report describes the major coupled T-H-M-C processes in geological repository systems and the frontier of related model development. Particular focus is placed on the analysis of existing approaches and open research questions with respect to further developments of coupled codes and models for realistic multiscale simulation of repository systems. These include the use of machine learning and artificial intelligence for the acceleration of computer codes; sensitivity analysis, inverse modelling and optimisation; software engineering and collaborative platforms for model development. By the end of the WP-HERMES, this report will be complemented with the knowledge acquired during the course of the WP HERMES RD&D program.

AB - This initial State-of-the-Art report describes the major coupled T-H-M-C processes in geological repository systems and the frontier of related model development. Particular focus is placed on the analysis of existing approaches and open research questions with respect to further developments of coupled codes and models for realistic multiscale simulation of repository systems. These include the use of machine learning and artificial intelligence for the acceleration of computer codes; sensitivity analysis, inverse modelling and optimisation; software engineering and collaborative platforms for model development. By the end of the WP-HERMES, this report will be complemented with the knowledge acquired during the course of the WP HERMES RD&D program.

KW - Coupled processes

KW - Numerical simulation

KW - Repository

KW - Radioactive waste

KW - T-H-M-C

KW - Machine learning

KW - Artificial intelligence

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M3 - Third partyreport

T3 - EURAD2 Reports

BT - EURAD-2 Deliverable 16.1 – State-of-the-art on high fidelity numerical simulations of strongly coupled processes for repository systems

PB - EURAD - European Joint Programme on Radioactive Waste Management

ER -