Deep-learning-based coupled flow-geomechanics surrogate model for CO2 sequestration
A deep-learning-based surrogate model capable of predicting flow and geomechanical
responses in CO 2 storage operations is presented and applied. The 3D recurrent RU-Net …
responses in CO 2 storage operations is presented and applied. The 3D recurrent RU-Net …
Improving deep learning performance for predicting large-scale geological sequestration modeling through feature coarsening
Physics-based reservoir simulation for fluid flow in porous media is a numerical simulation
method to predict the temporal-spatial patterns of state variables (eg pressure p) in porous …
method to predict the temporal-spatial patterns of state variables (eg pressure p) in porous …
Block preconditioning for fault/fracture mechanics saddle-point problems
The efficient simulation of fault and fracture mechanics is a key issue in several applications
and is attracting a growing interest by the scientific community. Using a formulation based on …
and is attracting a growing interest by the scientific community. Using a formulation based on …
The future of subsidence modelling: compaction and subsidence due to gas depletion of the Groningen gas field in the Netherlands
K van Thienen-Visser, PA Fokker - Netherlands Journal of …, 2017 - cambridge.org
The Groningen gas field has shown considerable compaction and subsidence since starting
production in the early 1960s. The behaviour is understood from the geomechanical …
production in the early 1960s. The behaviour is understood from the geomechanical …
Subsidence in the Dutch Wadden sea
Ground surface dynamics is one of the processes influencing the future of the Wadden Sea
area. Vertical land movement, both subsidence and heave, is a direct contributor to changes …
area. Vertical land movement, both subsidence and heave, is a direct contributor to changes …
Feasibility of using in situ deformation to monitor CO2 storage
LC Murdoch, LN Germanovich, SJ DeWolf… - International Journal of …, 2020 - Elsevier
Deformation during CO 2 injection can lead to problems, like seismicity or fluid leaks, but
small strains have the potential to be a useful signal for monitoring. The objective of this …
small strains have the potential to be a useful signal for monitoring. The objective of this …
A novel methodological approach for land subsidence prediction through data assimilation techniques
Anthropogenic land subsidence can be evaluated and predicted by numerical models,
which are often built over deterministic analyses. However, uncertainties and …
which are often built over deterministic analyses. However, uncertainties and …
Assimilation of deformation data for eruption forecasting: Potentiality assessment based on synthetic cases
In monitoring active volcanoes, the magma overpressure is one of the key parameters used
in forecasting volcanic eruptions. This parameter can be inferred from the ground …
in forecasting volcanic eruptions. This parameter can be inferred from the ground …
A bi-fidelity ensemble Kalman method for PDE-constrained inverse problems in computational mechanics
Mathematical modeling and simulation of complex physical systems based on partial
differential equations (PDEs) have been widely used in engineering and industrial …
differential equations (PDEs) have been widely used in engineering and industrial …
Land subsidence caused by seasonal groundwater level fluctuations in Kawajima (Japan) and one-dimensional numerical modeling with an evolutionary algorithm
K Akitaya, M Aichi - Hydrogeology Journal, 2023 - Springer
The causes of land subsidence in Kawajima, Japan, have been investigated through data
compilation and numerical modeling. Land subsidence has progressed despite a gradual …
compilation and numerical modeling. Land subsidence has progressed despite a gradual …