CCSNet: a deep learning modeling suite for CO2 storage
Gege Wen, Catherine Hay, Sally M. Benson, CCSNet: a deep learning modeling suite for CO2 storage, Advances in Water Resources(2021), doi:https://doi.org/10.1016/j.advwatres.2021.104009
Data sets
The data set is available at https://drive.google.com/drive/folders/1SVZFkaxkAIjcGKew3rzGTmKW5tSBUGf7?usp=sharing
Note: variable name is same as file name.
Train:
- Input:
train_x.h5 - Gas saturation:
trian_y_SG.h5 - Reservoir pressure:
train_y_BPR.h5 - Initial pressure:
train_y_P_init.h5 - xCO2 molar fraction:
train_y_BXMF.h5 - yCO2 molar fraction:
train_y_BYMF.h5 - Liquid phase density:
train_y_BDENW.h5 - Gas phase density:
train_y_BDENG.h5
Test:
- Input:
test_x.h5 - Gas saturation:
test_y_SG.h5 - Reservoir pressure:
test_y_BPR.h5 - Initial pressure:
test_y_P_init.h5 - xCO2 molar fraction:
test_y_BXMF.h5 - yCO2 molar fraction:
test_y_BYMF.h5 - Liquid phase density:
test_y_BDENW.h5 - Gas phase density:
test_y_BDENG.h5
Pre-trained models
The data set is available at https://drive.google.com/drive/folders/1SVZFkaxkAIjcGKew3rzGTmKW5tSBUGf7?usp=sharing
- Gas saturation:
trained_models/SG_v1.h5 - Pressure buildup:
trained_models/dP_v1.h5 - xCO2 molar fraction:
trained_models/bxmf_v1.h5 - yCO2 molar fraction:
trained_models/bymf_v1.h5 - Liquid phase density:
trained_models/bdenw_v1.h5 - Gas phase density:
trained_models/bdeng_v1.h5
Requirements
tensorflow-gpu==1.15numpy==1.19.0
Web application
The pre-trained models are hosted at ccsnet.ai.
Please refer to https://youtu.be/5bIlfjyo6Jkfor a video demonstration.