Surrogate models for groundwater flow simulations

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21 to 30 of 14,252 Results

Datasets: 100 Heat Pumps + Synthetic Permeability Fields, Simulation - Raw, 101 Data Points Jul 4, 2025 - Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport Pelzer, Julia, 2025, "Datasets: 100 Heat Pumps + Synthetic Permeability Fields, Simulation - Raw, 101 Data Points", https://doi.org/10.18419/DARUS-5064, DaRUS, V1 This data set serves as training and testing data for modelling the temperature field emanating from open loop groundwater heat pumps (100, randomly placed). It is simulated with Pflotran and saved in h5 format. It contains 101 data points, each consisting of one simulation run until a quasi-steady state is reached. Each data point measures 12.8 km...
dataset_giant_square_100hp_varyK_101dp.zip Jul 4, 2025 - Datasets: 100 Heat Pumps + Synthetic Permeability Fields, Simulation - Raw, 101 Data Points ZIP Archive - 152.0 GB - MD5: 220d3d6b7c991f7c6ca0c7e9b3492d83 Data
Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport(Universität Stuttgart) Jun 26, 2025 Raw and prepared datasets and trained models for the publication "Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport", including randomized and real permeability fields, on different domain sizes (12.8kmx12.8km and double the size for scaling tests); DDUNet- and LGCNN architectures
Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps Jan 7, 2025 Zhang, Xiaoyu, 2024, "Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps", https://doi.org/10.18419/DARUS-4518, DaRUS, V3 Prepared datasets and models for iterative modeling of heat plumes in groundwater. Models were trained with Iterative modeling. File explanation: 1HP.zip This zip file contains all prepared datapoints with a single heat pump. The input data fields are pressure, permeability, position of the heat pump, normalized distance to the heat pump, and tempe...
unet_para_f64_d5_k4_pcs_2500dp.zip Jan 7, 2025 - Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps ZIP Archive - 813.8 MB - MD5: 3c5f8ee53e45f1a67870a2417bef7dd4
unet_quad_f64_d5_k4_2500dp.zip Jan 7, 2025 - Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps ZIP Archive - 806.9 MB - MD5: 0d329e714747cabd00c5028bec1c70c0
unet_stand_f64_d5_k4_2500dp.zip Jan 7, 2025 - Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps ZIP Archive - 799.2 MB - MD5: 2f56a18ad50b50024b95043d7531d484
Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks Dec 19, 2024 Hofmann, Johanna, 2024, "Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks", https://doi.org/10.18419/DARUS-4514, DaRUS, V2 The dataset contains trained ConvLSTM models for heat plume extension and the prepared dataset for training and testing. In this repo the code for model training and dataset preparation is published. The last relevant git commit is 0a148e6131b98260. The prepared dataset for training is called ep_medium_1000dp_only_vary_dist inputs_ks. It consists o...
ep_medium_1000dp_only_vary_dist inputs_ks.zip Dec 19, 2024 - Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks ZIP Archive - 683.6 MB - MD5: 6d85ec6273279e3ed81b683f747ed5b6 This file contains the dataset prepared for the ConvLSTM for heat plume extension.
Models and Prepared Datasets for 3D-CNN - First Stage Nov 26, 2024 Trick, Johanna, 2024, "Models and Prepared Datasets for 3D-CNN - First Stage", https://doi.org/10.18419/DARUS-4534, DaRUS, V1 Models trained with Heat Plume Prediction 3D and datasets prepared with Heat Plume Prediction 3D into reasonable format, normalization used to train these models. Based on raw data from doi:darus-4533.

Datasets: 100 Heat Pumps + Synthetic Permeability Fields, Simulation - Raw, 101 Data Points

Jul 4, 2025 - Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport

Pelzer, Julia, 2025, "Datasets: 100 Heat Pumps + Synthetic Permeability Fields, Simulation - Raw, 101 Data Points", https://doi.org/10.18419/DARUS-5064, DaRUS, V1

This data set serves as training and testing data for modelling the temperature field emanating from open loop groundwater heat pumps (100, randomly placed). It is simulated with Pflotran and saved in h5 format. It contains 101 data points, each consisting of one simulation run until a quasi-steady state is reached. Each data point measures 12.8 km...

dataset_giant_square_100hp_varyK_101dp.zip

Jul 4, 2025 - Datasets: 100 Heat Pumps + Synthetic Permeability Fields, Simulation - Raw, 101 Data Points

ZIP Archive - 152.0 GB -

Data

Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport(Universität Stuttgart)

Jun 26, 2025

Raw and prepared datasets and trained models for the publication "Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport", including randomized and real permeability fields, on different domain sizes (12.8kmx12.8km and double the size for scaling tests); DDUNet- and LGCNN architectures

Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps

Jan 7, 2025

Zhang, Xiaoyu, 2024, "Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps", https://doi.org/10.18419/DARUS-4518, DaRUS, V3

Prepared datasets and models for iterative modeling of heat plumes in groundwater. Models were trained with Iterative modeling. File explanation: 1HP.zip This zip file contains all prepared datapoints with a single heat pump. The input data fields are pressure, permeability, position of the heat pump, normalized distance to the heat pump, and tempe...

unet_para_f64_d5_k4_pcs_2500dp.zip

Jan 7, 2025 - Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps

ZIP Archive - 813.8 MB -

unet_quad_f64_d5_k4_2500dp.zip

Jan 7, 2025 - Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps

ZIP Archive - 806.9 MB -

unet_stand_f64_d5_k4_2500dp.zip

Jan 7, 2025 - Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps

ZIP Archive - 799.2 MB -

Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks

Dec 19, 2024

Hofmann, Johanna, 2024, "Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks", https://doi.org/10.18419/DARUS-4514, DaRUS, V2

The dataset contains trained ConvLSTM models for heat plume extension and the prepared dataset for training and testing. In this repo the code for model training and dataset preparation is published. The last relevant git commit is 0a148e6131b98260. The prepared dataset for training is called ep_medium_1000dp_only_vary_dist inputs_ks. It consists o...

ep_medium_1000dp_only_vary_dist inputs_ks.zip

Dec 19, 2024 - Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks

ZIP Archive - 683.6 MB -

This file contains the dataset prepared for the ConvLSTM for heat plume extension.

Models and Prepared Datasets for 3D-CNN - First Stage

Nov 26, 2024

Trick, Johanna, 2024, "Models and Prepared Datasets for 3D-CNN - First Stage", https://doi.org/10.18419/DARUS-4534, DaRUS, V1

Models trained with Heat Plume Prediction 3D and datasets prepared with Heat Plume Prediction 3D into reasonable format, normalization used to train these models. Based on raw data from doi:darus-4533.

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