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20242026
most citedOptimization of Pressure Management Strategies for Geological CO2 Sequestration Using Surrogate Model-based Reinforcement Learning

37 citations · 42 across the 7 of their papers we have counts for

collaborators

7 papers

physics.comp-ph2026

Updating DMD Operators for Changes in Domain Properties

Dimitrios Voulanas, Eduardo Gildin

Fast and reliable surrogate models are critical for optimization, control and uncertainty analysis in geological carbon-storage projects, yet high-fidelity multiphase simulators re…

eess.SY2025

Introducing Coherent-Control Koopman Modeling to Reservoir Scale Porous Media Flow Studies

Dimitrios Voulanas, Eduardo Gildin

Accurate and robust surrogate modeling is essential for the real-time control and optimization of large-scale subsurface systems, such as geological CO2 storage and waterflood mana…

eess.SY2025★ 2 cited

Identifying Large-Scale Linear Parameter Varying Systems with Dynamic Mode Decomposition Methods

Jean Panaioti Jordanou, Eduardo Camponogara, Eduardo Gildin

Linear Parameter Varying (LPV) Systems are a well-established class of nonlinear systems with a rich theory for stability analysis, control, and analytical response finding, among…

cs.LG2024★ 1 cited

Multi-Step Embed to Control: A Novel Deep Learning-based Approach for Surrogate Modelling in Reservoir Simulation

Jungang Chen, Eduardo Gildin, John Killough

Reduced-order models, also known as proxy model or surrogate model, are approximate models that are less computational expensive as opposed to fully descriptive models. With the in…

physics.flu-dyn2024★ 2 cited

Neural Operator-Based Proxy for Reservoir Simulations Considering Varying Well Settings, Locations, and Permeability Fields

Daniel Badawi, Eduardo Gildin

Simulating Darcy flows in porous media is fundamental to understand the future flow behavior of fluids in hydrocarbon and carbon storage reservoirs. Geological models of reservoirs…

physics.comp-ph2024

Dynamic Mode Decomposition Accelerated Forecast and Optimization of Geological CO2 Storage in Deep Saline Aquifers

Dimitrios Voulanas, Eduardo Gildin

Data-driven and non-intrusive DMDc and DMDspc models successfully expedite the reconstruction and forecasting of CO2 fluid flow with acceptable accuracy margins, aiding in the rapi…

cs.CE2024★ 37 cited

Optimization of Pressure Management Strategies for Geological CO2 Sequestration Using Surrogate Model-based Reinforcement Learning

Jungang Chen, Eduardo Gildin, Georgy Kompantsev

Injecting greenhouse gas into deep underground reservoirs for permanent storage can inadvertently lead to fault reactivation, caprock fracturing and greenhouse gas leakage when the…