Publications making use of JutulDarcy.jl

This page lists papers that use JutulDarcy.jl. Do you have a paper that is not listed here? Feel free to make a pull request, or send an e-mail with the paper title and link.

JutulDarcy.jl - a Fully Differentiable High-Performance Reservoir Simulator based on Automatic Differentiation. O. Møyner. Computational Geosciences (2025) is the main paper on JutulDarcy.jl. Please cite this if you make use of this package in your work.

Journal papers

1. Grid-Orientation Effects in the 11th SPE Comparative Solution Project Using Unstructured Grids and Consistent Discretizations. K. Holme, K.-A. Lie, O. Møyner, A. Johansson. SPE Journal (2025)

2. Diffusion-Based Subsurface Multiphysics Monitoring and Forecasting. X. Huang, F. Wang, T. Alkhalifah. JGR Machine Learning And Computation (2025)

3. Accelerating Nonlinear Convergence in Reservoir Simulation by Adaptive Relaxation and Nonlinear Domain-Decomposition Preconditioning. K-A. Lie, O. Møyner, Ø.Klemetsdal. SPE Journal (2025)

4. An uncertainty-aware digital shadow for underground multimodal CO2 storage monitoring. A.P. Gahlot, R. Orozco, Z. Yin, G. Bruer, F.J. Herrmann. Geophysical Journal International (2025)

5. Nonlinear domain-decomposition preconditioning for robust and efficient field-scale simulation of subsurface flow. O. Møyner, Atgeirr F. Rasmussen, Ø. Klemetsdal, H.M. Nilsen, A. Moncorgé, and K-A. Lie. Computational Geosciences (2024)

6. Time-lapse full-waveform permeability inversion: A feasibility study. Z. Yin, M. Louboutin, O. Møyner, F.J. Herrmann. The Leading Edge (2024)

7. Seismic Monitoring of CO₂ Plume Dynamics Using Ensemble Kalman Filtering. G. Bruer, A.P. Gahlot, E. Chow, Felix Herrmann. IEEE Transactions on Geoscience and Remote Sensing (2024)

8. Learned multiphysics inversion with differentiable programming and machine learning. M. Louboutin, Z. Yin, R. Orozco, Thomas J. Grady II, Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, O. Møyner, G.J. Gorman, and F.J. Herrmann, The Leading Edge 2023 42:7, 474-486 (2023)

9. Solving multiphysics-based inverse problems with learned surrogates and constraints. Z. Yin, R. Orozco, M. Louboutin & F.J. Herrmann. Advanced Modeling and Simulation in Engineering Sciences (2023)

In proceedings

1. Enabling Intelligent Reservoir Engineer: Exploring New Possibilities with Reinforcement Learning and Proxy Models. X. Wang, J. Li, J. Shu, Y. Cui. SPE Advances in Integrated Reservoir Modelling and Field Development Conference and Exhibition (2025)

2. Reduced physics-based simulation for unconventional production forecasting – A 1D approach. S. Krogstad, M.A. Jakymec, A. Kianinejad, D. Pertuso, S. Matringe, A. Brostrom, J. Torben, O. Møyner, and K.-A. Lie. URTEC (2025)

3. Predictive Digital Twins for Underground Thermal Energy Storage using Differentiable Programming. Ø. Klemetsdal, O. Andersen, S. Krogstad. DTE - AICOMAS (2025)

4. Sensitivity-aware rock physics enhanced digital shadow for underground-energy storage monitoring. A.P. Gahlot, H.T. Erdinc, F.J. Herrmann. International Meeting for Applied Geoscience and Energy (2025)

5. A reduced-order derivative-informed neural operator for subsurface fluid-flow. International Meeting for Applied Geoscience and Energy. J. Park, G. Bruer, H. Erdinc, A. Gahlot, F.J. Herrmann (2025)

6. A Data-Driven Approach to Select Optimal Time Steps for Complex Reservoir Models. O. Møyner, K-A. Lie. SPE Reservoir Simulation Conference (2025)

7. An Accurate and Efficient Surrogate Model-Based Framework for Coupled Wellbore-Reservoir Modeling. Jin S., Guoqing H., Zhenduo Y., Xin W., Long P., Junjian L. Advances in Integrated Reservoir Modelling and Field Development Conference and Exhibition (2025)

8. JutulDarcy.jl - a Fully Differentiable High-Performance Reservoir Simulator based on Automatic Differentiation. O. Møyner. ECMOR 2024 (2024)

9. Proxy Models for Rapid Simulation of Underground Thermal Energy Storage. Ø. Klemetsdal, O. Andersen. EAGE GET (2024)

10. Enhancing Performance of Complex Reservoir Models via Convergence Monitors. K-A. Lie, O. Møyner, Ø. Klemetsdal, B. Skaflestad, A. Moncorgé and V. Kippe, ECMOR 2024 (2024)

11. Inference of CO2 flow patterns – a feasibility study. A.P. Gahlot, H.T- Erdinc, R- Orozco, Z. Yin, F.J. Herrmann. NeurIPS 2023 Workshop - Tackling Climate Change with Machine Learning (2023)

12. Well Control Optimization with Output Constraint Handling by Means of a Derivative-Free Trust Region Algorithm. M. Hannanu, T. L. Silva, E. Camponogara, M. Hovd. ADIPEC (2023)

13. An Adaptive Newton–ASPEN Solver for Complex Reservoir Models. K-A. Lie, O. Møyner and Ø. Klemetsdal. SPE Reservoir Simulation Conference, Galveston, Texas, USA, March (2023)

Preprints

1. Benchmarking CO Storage Simulations: Results from the 11th Society of Petroleum Engineers Comparative Solution Project. J.M. Nordbotten, M.A. Fernø, B. Flemisch, A.R. Kovscek, K.-A. Lie, J.W. Both, O. Møyner, T.H. Sandve, E. Ahusborde, S. Bauer, Z. Chen, H. Class, C. Di, D. Ding, D. Element, A. Firoozabadi, E. Flauraud, J. Franc, F. Gasanzade, Y. Ghomian, M.A. Giddins, C. Green, B.R.B. Fernandes, G. Hadjisotiriou, G. Hammond, H. Huang, D. Kachuma, M. Kern, T. Koch, P. Krishnamurthy, K.O. Lye, D. Landa-Marbán, M. Nole, P. Orsini, N. Ruby, P. Salinas, M. Sayyafzadeh, J. Solovský, J. Torben, A. Turner, D.V. Voskov, K. Wendel, A.A. Youssef (2025)

2. Advancing geological carbon storage monitoring with 3D digital shadow technology. A.P. Gahlot, R. Orozco, F.J. Herrmann (2025)

3. Enhancing robustness of digital shadow for CO2 storage monitoring with augmented rock physics modeling. A.P. Gahlot, F.J. Herrmann (2025)

4. A digital twin for geological carbon storage with controlled injectivity. A.P. Gahlot, H. Li, Z. Yin, R. Orozco, F.J. Herrmann (2024)

5. Well2Flow: Reconstruction of reservoir states from sparse wells using score-based generative models. S. Zeng, H. Li, A.P. Gahlot, F.J. Herrmann. International Meeting for Applied Geoscience and Energy (2025)

Theses

1. Grid Orientation Effects and Consistent Discretizations for Simulation of Geologic Carbon Storage: A Study of the SPE11 Benchmark. K. Holme. MSc thesis, NTNU (2024)