activity
20222026
most citedDe-risking geological carbon storage from high resolution time-lapse seismic to explainable leakage detection

14 citations · 35 across the 14 of their papers we have counts for

collaborators

15 papers

cs.RO2026

Evaluating the Transfer of Co-Evolved Communication from 2D to 3D Simulation

Fernando Montes-Gonzalez

This work examines the transfer of a co-evolved communication mechanism between two robotic agents from a discrete two-dimensional (2D) simulator to a three-dimensional simulator w…

physics.comp-ph2025

A reduced-order derivative-informed neural operator for subsurface fluid-flow

Jeongjin Park, Grant Bruer, Huseyin Tuna Erdinc +2

Neural operators have emerged as cost-effective surrogates for expensive fluid-flow simulators, particularly in computationally intensive tasks such as permeability inversion from…

physics.geo-ph2025

Sensitivity-aware rock physics enhanced digital shadow for underground-energy storage monitoring

Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, Felix J. Herrmann

Underground energy storage, which includes storage of hydrogen, compressed air, and CO2, requires careful monitoring to track potential leakage pathways, a situation where time-lap…

cs.LG2025

Power-scaled Bayesian Inference with Score-based Generative Models

Huseyin Tuna Erdinc, Yunlin Zeng, Abhinav Prakash Gahlot +1

We propose a score-based generative algorithm for sampling from power-scaled priors and likelihoods within the Bayesian inference framework. Our algorithm enables flexible control…

cs.LG2025

Well2Flow: Reconstruction of reservoir states from sparse wells using score-based generative models

Shiqin Zeng, Haoyun Li, Abhinav Prakash Gahlot +1

This study investigates the use of score-based generative models for reservoir simulation, with a focus on reconstructing spatially varying permeability and saturation fields in sa…

physics.comp-ph2025

Enhancing Robustness Of Digital Shadow For CO2 Storage Monitoring With Augmented Rock Physics Modeling

Abhinav Prakash Gahlot, Felix J. Herrmann

To meet climate targets, the IPCC underscores the necessity of technologies capable of removing gigatonnes of CO2 annually, with Geological Carbon Storage (GCS) playing a central r…

physics.comp-ph2025

Advancing Geological Carbon Storage Monitoring With 3d Digital Shadow Technology

Abhinav Prakash Gahlot, Rafael Orozco, Felix J. Herrmann

Geological Carbon Storage (GCS) is a key technology for achieving global climate goals by capturing and storing CO2 in deep geological formations. Its effectiveness and safety rely…

cs.LG2025

Probabilistic Joint Recovery Method for CO Plume Monitoring

Zijun Deng, Rafael Orozco, Abhinav Prakash Gahlot +1

Reducing CO emissions is crucial to mitigating climate change. Carbon Capture and Storage (CCS) is one of the few technologies capable of achieving net-negative CO emission…

physics.geo-ph2024★ 10 cited

An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring

Abhinav Prakash Gahlot, Rafael Orozco, Ziyi Yin +1

Geological Carbon Storage GCS is arguably the only scalable net-negative CO2 emission technology available While promising subsurface complexities and heterogeneity of reservoir pr…

physics.geo-ph2024

Seismic monitoring of CO2 plume dynamics using ensemble Kalman filtering

Grant Bruer, Abhinav Prakash Gahlot, Edmond Chow +1

Monitoring carbon dioxide (CO2) injected and stored in subsurface reservoirs is critical for avoiding failure scenarios and enables real-time optimization of CO2 injection rates. S…

cs.LG2024★ 1 cited

BEACON: Bayesian Experimental design Acceleration with Conditional Normalizing flows a case study in optimal monitor well placement for CO sequestration

Rafael Orozco, Abhinav Gahlot, Felix J. Herrmann

CO sequestration is a crucial engineering solution for mitigating climate change. However, the uncertain nature of reservoir properties, necessitates rigorous monitoring of CO$…

physics.geo-ph2024★ 4 cited

A Digital Twin for Geological Carbon Storage with Controlled Injectivity

Abhinav Prakash Gahlot, Haoyun Li, Ziyi Yin +2

We present an uncertainty-aware Digital Twin (DT) for geologic carbon storage (GCS), capable of handling multimodal time-lapse data and controlling CO2 injectivity to mitigate rese…

cs.CE2023★ 4 cited

Inference of CO2 flow patterns -- a feasibility study

Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, Rafael Orozco +2

As the global deployment of carbon capture and sequestration (CCS) technology intensifies in the fight against climate change, it becomes increasingly imperative to establish robus…

physics.geo-ph2022★ 2 cited

De-risking Carbon Capture and Sequestration with Explainable CO2 Leakage Detection in Time-lapse Seismic Monitoring Images

Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin +2

With the growing global deployment of carbon capture and sequestration technology to combat climate change, monitoring and detection of potential CO2 leakage through existing or st…

physics.geo-ph2022★ 14 cited

De-risking geological carbon storage from high resolution time-lapse seismic to explainable leakage detection

Ziyi Yin, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot +2

Geological carbon storage represents one of the few truly scalable technologies capable of reducing the CO2 concentration in the atmosphere. While this technology has the potential…