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An integrated framework for optimal monitoring and history matching in CO$$$$_{2}$$$$ storage projects

Journal Article · · Computational Geosciences

Not provided.

Research Organization:
Univ. of Illinois at Urbana-Champaign, IL (United States)
Sponsoring Organization:
USDOE Office of Fossil Energy (FE)
DOE Contract Number:
FE0031892
OSTI ID:
2418229
Journal Information:
Computational Geosciences, Journal Name: Computational Geosciences Journal Issue: 2 Vol. 28; ISSN 1420-0597
Publisher:
Springer
Country of Publication:
United States
Language:
English

References (24)

Cost-optimal design of pressure-based monitoring networks for carbon sequestration projects, with consideration of geological uncertainty journal April 2018
The State of the Art in Monitoring and Verification: an update five years on journal September 2020
Deep-learning-based coupled flow-geomechanics surrogate model for CO2 sequestration journal July 2022
Detection of potential leakage pathways from geological carbon storage by fluid pressure data assimilation journal December 2015
CO2 Plume Tracking and History Matching Using Multilevel Pressure Monitoring at the Illinois Basin – Decatur Project journal January 2014
20 Years of Monitoring CO2-injection at Sleipner journal July 2017
Toward an adaptive monitoring design for leakage risk – Closing the loop of monitoring and modeling journal September 2018
Early Operational Experience at a One-million Tonne CCS Demonstration Project, Decatur, Illinois, USA journal January 2013
Ensemble smoother with multiple data assimilation journal June 2013
Use of above-zone pressure data to locate and quantify leaks during carbon storage operations journal September 2016
Integrated Framework for Optimization of Horizontal/Deviated Well Placement and Control for Geological CO2 Storage conference March 2023
Risk-based Monitoring Network Design for Geologic Carbon Storage Sites journal July 2017
Stochastic inversion method of time-lapse controlled source electromagnetic data for CO2 plume monitoring journal September 2020
Pressure management via brine extraction in geological CO2 storage: Adaptive optimization strategies under poorly characterized reservoir conditions journal April 2019
CCSNet: A deep learning modeling suite for CO 2 storage journal September 2021
Quantitative assessment of monitoring strategies for conformance verification of CO2 storage projects journal September 2021
Data-space approaches for uncertainty quantification of CO2 plume location in geological carbon storage journal January 2019
Using a machine learning proxy for localization in ensemble data assimilation journal February 2021
Managing Uncertainty in Geological CO2 Storage Using Bayesian Evidential Learning journal March 2021
Geologic CO2 sequestration monitoring design: A machine learning and uncertainty quantification based approach journal September 2018
CO2 Leakage Rate Forecasting Using Optimized Deep Learning conference September 2021
Petrophysical characterization of deep saline aquifers for CO2 storage using ensemble smoother and deep convolutional autoencoder journal August 2020
Applied Geostatistics with SGeMS book January 2009
Reducing uncertainty in geologic CO2 sequestration risk assessment by assimilating monitoring data journal March 2020

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