Replication Data for: Original Python Codes for : 'Combining autoencoder neural network and Bayesian inversion algorithms to estimate heterogeneous fracture permeability in enhanced geothermal reservoirs'
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Enoder_MCMC code package written by Python 3.5 (with tensorflow_cpu) contain four major parts: (1) MCMC package for inversion (including run_main.py, mcmc.py, mcmc_func.py) is most from Eric Laloy published in GitHub https://github.com/elaloy/VAE_MCMC(2) training_images_generation.py was written by Jiang, Oct, 2018 to generate 3D trainging images analog to the fracture pattern in enhanced geothermal system. (3) Dimensionality reduction package (including var_model.py and VAE_train_main.py) was written by Jiang to convert full-dimension parameters to low-dimenison codes for inversion. and (4) The forward model is estblished by Flopy (via seawat_py.py) to run SEAWAT(https://www.usgs.gov/software/seawat-a-computer-program-simulation-three-dimensional-variable-density-ground-water-flow)The codes were developed by Python 3.5, wit' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Markov chain Monte Carlo inversion","Deep learning","Tracer test","Enhanced geothermal system","Permeability"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Enoder_MCMC code package written by Python 3.5 (with tensorflow_cpu) contain four major parts: (1) MCMC package for inversion (including run_main.py, mcmc.py, mcmc_func.py) is most from Eric Laloy published in GitHub https://github.com/elaloy/VAE_MCMC(2) training_images_generation.py was written by Jiang, Oct, 2018 to generate 3D trainging images analog to the fracture pattern in enhanced geothermal system. (3) Dimensionality reduction package (including var_model.py and VAE_train_main.py) was written by Jiang to convert full-dimension parameters to low-dimenison codes for inversion. and (4) The forward model is estblished by Flopy (via seawat_py.py) to run SEAWAT(https://www.usgs.gov/software/seawat-a-computer-program-simulation-three-dimensional-variable-density-ground-water-flow)The codes were developed by Python 3.5, wit' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Enoder_MCMC code package written by Python 3.5 (with tensorflow_cpu) contain four major parts: (1) MCMC package for inversion (including run_main.py, mcmc.py, mcmc_func.py) is most from Eric Laloy published in GitHub https://github.com/elaloy/VAE_MCMC(2) training_images_generation.py was written by Jiang, Oct, 2018 to generate 3D trainging images analog to the fracture pattern in enhanced geothermal system. (3) Dimensionality reduction package (including var_model.py and VAE_train_main.py) was written by Jiang to convert full-dimension parameters to low-dimenison codes for inversion. and (4) The forward model is estblished by Flopy (via seawat_py.py) to run SEAWAT(https://www.usgs.gov/software/seawat-a-computer-program-simulation-three-dimensional-variable-density-ground-water-flow)The codes were developed by Python 3.5, wit
Markov chain Monte Carlo inversion; Deep learning; Tracer test; Enhanced geothermal system; Permeability