Seismic Foundation Model (SFM): a next generation deep learning model in geophysics
While computer science has seen remarkable advancements in foundation models, they
remain underexplored in geoscience. Addressing this gap, we introduce a workflow to …
remain underexplored in geoscience. Addressing this gap, we introduce a workflow to …
Machine Learning Developments and Applications in Solid‐Earth Geosciences: Fad or Future?
After decades of low but continuing activity, applications of machine learning (ML) in solid
Earth geoscience have exploded in popularity. This special collection provides a snapshot …
Earth geoscience have exploded in popularity. This special collection provides a snapshot …
Joint inversion of geophysical data for geologic carbon sequestration monitoring: A differentiable physics‐informed neural network model
Geophysical monitoring of geologic carbon sequestration is critical for risk assessment
during and after carbon dioxide (CO2) injection. Integration of multiple geophysical …
during and after carbon dioxide (CO2) injection. Integration of multiple geophysical …
[HTML][HTML] Evaluating geophysical monitoring strategies for a CO2 storage project
Geophysical monitoring of CO 2 storage projects enables informed decision making of
injection strategies. When monitoring projects are designed, decisions should be made …
injection strategies. When monitoring projects are designed, decisions should be made …
Time-lapse seismic inversion for CO2 saturation with SeisCO2Net: An application to Frio-II site
Seismic monitoring of geological CO 2 storage (GCS) involves highly nonlinear seismic
inversion and petrophysical inversion, making it challenging to estimate CO 2 volume …
inversion and petrophysical inversion, making it challenging to estimate CO 2 volume …
Deep learning for characterizing CO2 migration in time-lapse seismic images
Abstract Time-lapse (or 4-D) seismic data play an important role in monitoring the spatial CO
2 distribution during and after the injection period. However, traditional interpretation or …
2 distribution during and after the injection period. However, traditional interpretation or …
[HTML][HTML] Characterization of petrophysical and seismic properties for CO2 storage with sensitivity analysis
Saline aquifers are considered as highly favored reservoirs for CO 2 sequestration due to
their favorable properties. Understanding the impact of saline aquifer properties on the …
their favorable properties. Understanding the impact of saline aquifer properties on the …
Geological reservoir characterization tasks based on computer vision techniques
Reservoir characterization is of great importance in oil and gas exploration and production.
To automate and improve the procedures involved in this task, several approaches in the …
To automate and improve the procedures involved in this task, several approaches in the …
Assimilation of geophysics-derived spatial data for model calibration in geologic co2 sequestration
Uncertainty in geological models usually leads to large uncertainty in the predictions of risk-
related system properties and/or risk metrics (eg, CO 2 plumes and CO 2/brine leakage …
related system properties and/or risk metrics (eg, CO 2 plumes and CO 2/brine leakage …
Reservoir multiparameter prediction method based on deep learning for CO2 geologic storage
D Li, S Peng, Y Guo, Y Lu, X Cui, W Du - Geophysics, 2023 - library.seg.org
Time-lapse seismic difference refers to the comprehensive response of fluid saturation, pore
pressure, and porosity. However, the contribution of different parameters to the seismic …
pressure, and porosity. However, the contribution of different parameters to the seismic …