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‎Gahlot2025SEG/IMAGE2025.sty‎

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\RequirePackage{moreverb}
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\endinput
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%%
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%% End of file `seg.sty'.
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%% End of file `IMAGE2025.sty'.

‎Gahlot2025SEG/abstract.bib‎

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author = {Abhinav Prakash Gahlot and Huseyin Tuna Erdinc and Rafael Orozco and Ziyi Yin and Felix J. Herrmann}
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}
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@article{orozco2023invertiblenetworks,
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doi = {10.21105/joss.06554},
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url = {https://doi.org/10.21105/joss.06554},
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year = {2024},
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publisher = {The Open Journal},
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volume = {9},
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number = {99},
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pages = {6554},
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author = {Rafael Orozco and Philipp Witte and Mathias Louboutin and Ali Siahkoohi and Gabrio Rizzuti and Bas Peters and Felix J. Herrmann},
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title = {InvertibleNetworks.jl: A Julia package for scalable normalizing flows},
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journal = {Journal of Open Source Software}
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}
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@CONFERENCE{COP21_2015,
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title = {United Nations Climate Change Conference},
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booktitle = {21st Session of the Conference of the Parties (COP) to the UNFCCC and 11th Session of the Meeting of the Parties (CMP) to the Kyoto Protocol},
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year = {2015},
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month = {November 30--December 12},
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location = {Paris, France},
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organization = {United Nations Framework Convention on Climate Change (UNFCCC)}
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}
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@misc{IEA_2016,
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author = {{International Energy Agency (IEA)}},
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title = {20 Years of Carbon Capture and Storage: Accelerating Future Deployment},
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year = {2016},
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url = {https://www.iea.org/publications},
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}
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@article{masson2018global,
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title={Global warming of 1.5 C},
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author={{IPCC special report}},
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journal={An IPCC Special Report on the impacts of global warming of},
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volume={1},
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number={5},
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pages={43--50},
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year={2018}
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}
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@software{JUDI,
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author = {Mathias Louboutin and
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Philipp Witte and
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Ziyi Yin and
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Henryk Modzelewski and
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Kerim and
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Carlos da Costa and
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Peterson Nogueira},
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title = {slimgroup/JUDI.jl: v3.2.3},
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month = mar,
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year = 2023,
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publisher = {Zenodo},
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version = {v3.2.3},
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doi = {10.5281/zenodo.7785440},
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url = {https://doi.org/10.5281/zenodo.7785440}
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}
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@software{jutuldarcy,
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author = {Olav Møyner and
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Grant Bruer and
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Ziyi Yin},
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title = {sintefmath/JutulDarcy.jl: v0.2.3},
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month = apr,
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year = 2023,
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publisher = {Zenodo},
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version = {v0.2.3},
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doi = {10.5281/zenodo.7855628},
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url = {https://doi.org/10.5281/zenodo.7855628}
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}
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@ARTICLE{witte2018alf,
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author = {Philipp A. Witte and Mathias Louboutin and Navjot Kukreja and Fabio Luporini and Michael Lange and Gerard J. Gorman and Felix J. Herrmann},
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title = {A large-scale framework for symbolic implementations of seismic inversion algorithms in Julia},
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journal = {Geophysics},
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volume = {84},
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number = {3},
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pages = {F57-F71},
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year = {2019},
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month = {03},
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abstract = {},
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keywords = {FWI, LSRTM, modeling, inversion, software},
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doi = {10.1190/geo2018-0174.1},
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note = {(Geophysics)},
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url = {https://slim.gatech.edu/Publications/Public/Journals/Geophysics/2019/witte2018alf/witte2018alf.pdf}
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}
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@article{Kingma2014AdamAM,
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title={Adam: A Method for Stochastic Optimization},
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author={Diederik P. Kingma and Jimmy Ba},
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journal={CoRR},
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year={2014},
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volume={abs/1412.6980},
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url={https://api.semanticscholar.org/CorpusID:6628106}
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}
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@article{iiasa14349,
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number = {2},
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year = {2017},
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month = {January},
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doi = {10.1038/nclimate3202},
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title = {Key indicators to track current progress and future ambition of the Paris Agreement},
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pages = {118--122},
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volume = {7},
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journal = {Nature Climate Change},
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publisher = {Springer Nature},
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issn = {1758-678X},
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author = {Peters, G. P. and Andrew, R. M. and Canadell, J. G. and Fu{\ss}, S. and Jackson, R. B. and Korsbakken, J. I. and Le Qu{\'e}r{\'e}, C. and Nakicenovic, N.},
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url = {https://pure.iiasa.ac.at/id/eprint/14349/},
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keywords = {Climate-change mitigation, Climate-change policy, Energy economics, Energy policy},
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abstract = {Current emission pledges to the Paris Agreement appear insufficient to hold the global average temperature increase to well below 2 oC above pre-industrial levels. Yet, details are missing on how to track progress towards the 'Paris goal', inform the five-yearly 'global stocktake', and increase the ambition of Nationally Determined Contributions (NDCs). We develop a nested structure of key indicators to track progress through time. Global emissions track aggregated progress, country-level decompositions track emerging trends that link directly to NDCs, and technology diffusion indicates future reductions. We find the recent slowdown in global emissions growth11 is due to reduced growth in coal use since 2011, primarily in China and secondarily in the United States. The slowdown is projected to continue in 2016, with global CO2 emissions from fossil fuels and industry similar to the 2015 level of 36 GtCO2. Explosive and policy-driven growth in wind and solar has contributed to the global emissions slowdown, but has been less important than economic factors and energy efficiency. We show that many key indicators are currently broadly consistent with emission scenarios that keep temperatures below 2 oC, but the continued lack of large-scale carbon capture and storage threatens 2030 targets and the longer-term Paris ambition of net-zero emissions.}
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}
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@online{GCCSI_2019,
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author = {{Global CCS Institute (GCCSI)}},
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title = {GCCSI CO\textsubscript{2}RE Database: 2019},
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year = {2019},
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url = {https://co2re.co},
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}
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@article{gahlot2025erd,
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title={Enhancing Robustness Of Digital Shadow For CO2 Storage Monitoring With Augmented Rock Physics Modeling},
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author={Abhinav Prakash Gahlot and Felix J. Herrmann},
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year={2025},
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eprint={2502.07171},
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archivePrefix={arXiv},
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primaryClass={physics.comp-ph},
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url={https://arxiv.org/abs/2502.07171},
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}
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@article{elsemuller2024sensitivityaware,
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title={Sensitivity-Aware Amortized Bayesian Inference},
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author={Lasse Elsem{\"u}ller and Hans Olischl{\"a}ger and Marvin Schmitt and Paul-Christian B{\"u}rkner and Ullrich Koethe and Stefan T. Radev},
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journal={Transactions on Machine Learning Research},
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issn={2835-8856},
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year={2024},
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url={https://openreview.net/forum?id=Kxtpa9rvM0},
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note={}
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}
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@article{radev2020bayesflow,
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title={BayesFlow: Learning complex stochastic models with invertible neural networks},
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author={Radev, Stefan T and Mertens, Ulf K and Voss, Andreas and Ardizzone, Lynton and K{\"o}the, Ullrich},
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journal={IEEE transactions on neural networks and learning systems},
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volume={33},
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number={4},
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pages={1452--1466},
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year={2020},
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publisher={IEEE}
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}
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@article{herrmann2023president,
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title={President's Page: Digital twins in the era of generative AI},
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author={Herrmann, Felix J},
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publisher={Springer}
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}
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@CONFERENCE{yu2023IMAGEmsc,
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author = {Ting-ying Yu and Abhinav Prakash Gahlot and Rafael Orozco and Ziyi Yin and Mathias Louboutin and Felix J. Herrmann},
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title = {Monitoring Subsurface CO2 Plumes with Sequential Bayesian Inference},
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year = {2023},
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month = {08},
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booktitle = {International Meeting for Applied Geoscience and Energy},
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abstract = {To monitor and predict CO2 plume dynamics during geological carbon storage, reservoir engineers usually perform two-phase flow simulations. While these simulations may provide useful insights, their usefulness is limited due to numerous complicating factors including uncertainty in the dynamics of the plume itself. To study this phenomenon, we consider stochasticity in the dynamic caused by unknown random changes in the injection rate. By conditioning the CO2 plume predictions on seismic observations, we correct the CO2 plume predictions and quantify uncertainty with machine learning.},
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keywords = {SEG, ccs, deep learning, uncertainty quantification, bayesian inference, imaging, monitoring},
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url = {https://slimgroup.github.io/IMAGE2023/SequentialBayes/abstract.html},
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presentation = {https://slim.gatech.edu/Publications/Public/Conferences/SEG/2023/yu2023IMAGEmsc},
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note = {(IMAGE, Houston)}
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@article{spantini2022coupling,
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title={Coupling techniques for nonlinear ensemble filtering},
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author={Spantini, Alessio and Baptista, Ricardo and Marzouk, Youssef},
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journal={SIAM Review},
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volume={64},
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number={4},
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pages={921--953},
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year={2022},
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publisher={SIAM}
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}
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@book{ringrose2020store,
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title={How to store CO$_{2}$ underground: Insights from early-mover CCS Projects},
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author={Ringrose, Philip},
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volume={129},
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year={2020},
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publisher={Springer}
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}
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@book{ringrose2023storage,
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title={Storage of Carbon Dioxide in Saline Aquifers: Building confidence by forecasting and monitoring},
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author={Ringrose, Philip},
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year={2023},
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publisher={Society of Exploration Geophysicists}
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}
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@article{doi:10.1073/pnas.1912789117,
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author = {Kyle Cranmer and Johann Brehmer and Gilles Louppe },
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title = {The frontier of simulation-based inference},
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journal = {Proceedings of the National Academy of Sciences},
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volume = {117},
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number = {48},
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pages = {30055-30062},
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year = {2020},
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doi = {10.1073/pnas.1912789117},
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URL = {https://www.pnas.org/doi/abs/10.1073/pnas.1912789117},
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eprint = {https://www.pnas.org/doi/pdf/10.1073/pnas.1912789117},
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abstract = {Many domains of science have developed complex simulations to describe phenomena of interest. While these simulations provide high-fidelity models,
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they are poorly suited for inference and lead to challenging inverse problems. We review the rapidly developing field of simulation-based inference and identify
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the forces giving additional momentum to the field. Finally, we describe how the frontier is expanding so that a broad audience can appreciate the profound
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influence these developments may have on science.}
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author = {Kyle Cranmer and Johann Brehmer and Gilles Louppe },
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title = {The frontier of simulation-based inference},
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journal = {Proceedings of the National Academy of Sciences},
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volume = {117},
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number = {48},
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pages = {30055-30062},
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year = {2020},
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doi = {10.1073/pnas.1912789117},
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URL = {https://www.pnas.org/doi/abs/10.1073/pnas.1912789117},
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eprint = {https://www.pnas.org/doi/pdf/10.1073/pnas.1912789117},
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abstract = {Many domains of science have developed complex simulations to describe phenomena of interest. While these simulations provide high-fidelity models,
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they are poorly suited for inference and lead to challenging inverse problems. We review the rapidly developing field of simulation-based inference and identify
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the forces giving additional momentum to the field. Finally, we describe how the frontier is expanding so that a broad audience can appreciate the profound
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influence these developments may have on science.}
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}
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@article{papamakarios2019sequential,
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title={Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows},
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author={George Papamakarios and David C. Sterratt and Iain Murray},
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year={2019},
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eprint={1805.07226},
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archivePrefix={arXiv},
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primaryClass={stat.ML}
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title={Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows},
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author={George Papamakarios and David C. Sterratt and Iain Murray},
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year={2019},
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eprint={1805.07226},
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archivePrefix={arXiv},
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primaryClass={stat.ML}
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}
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@inproceedings{kruse2021hint,
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pages={8191--8199},
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year={2021}
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}
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@article{lumley20104d,
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title={4D seismic monitoring of CO 2 sequestration},
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author={Lumley, David},
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journal={The Leading Edge},
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volume={29},
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number={2},
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pages={150--155},
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year={2010},
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publisher={Society of Exploration Geophysicists}
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}
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@book{avseth2010quantitative,
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title={Quantitative seismic interpretation: Applying rock physics tools to reduce interpretation risk},
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author={Avseth, Per and Mukerji, Tapan and Mavko, Gary},
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year={2010},
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publisher={Cambridge university press}
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}
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@article{BG,
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author = "E. Jones, C. and A. Edgar, J. and I. Selvage, J. and Crook, H.",
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title = "Building Complex Synthetic Models to Evaluate Acquisition Geometries and Velocity Inversion Technologies",
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journal= "In 74th EAGE Conference and Exhibition Incorporating EUROPEC 2012",
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year = "2012",
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volume = "",
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number = "",
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pages = "cp–293",
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doi = "https://doi.org/10.3997/2214-4609.20148575",
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url = "https://www.earthdoc.org/content/papers/10.3997/2214-4609.20148575",
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publisher = "European Association of Geoscientists \& Engineers",
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issn = "2214-4609",
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type = "",
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eid = "cp-293-00580",
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}
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@article{nf,
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author = {Papamakarios, George and Nalisnick, Eric and Rezende, Danilo Jimenez and Mohamed, Shakir and Lakshminarayanan, Balaji},
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title = {Normalizing Flows for Probabilistic Modeling and Inference},
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year = {2021},
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issue_date = {January 2021},
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publisher = {JMLR.org},
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volume = {22},
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number = {1},
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issn = {1532-4435},
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journal = {J. Mach. Learn. Res.},
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month = {jan},
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articleno = {57},
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numpages = {64},
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keywords = {normalizing flows, generative models, probabilistic modeling, probabilistic inference, invertible neural networks}
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}
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@article{yin2024wise,
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title={WISE: full-Waveform variational Inference via Subsurface Extensions},
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author={Yin, Ziyi and Orozco, Rafael and Louboutin, Mathias and Herrmann, Felix J},
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journal={Geophysics},
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volume={89},
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number={4},
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pages={1--31},
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year={2024},
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publisher={Society of Exploration Geophysicists}
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}
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@article{gahlot2024uads,
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title = {An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring},
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year = {2024},
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month = {10},
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abstract = {},
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keywords = {Bayesian inference, conditional normalizing flows, deep learning, digital twin, GCS, Inverse problems, sequential Bayes, Summary Statistics, Uncertainty quantification},
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doi = {10.48550/arXiv.2410.01218},
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url = {https://slim.gatech.edu/Publications/Public/Submitted/2024/gahlot2024uads/paper.html},
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author = {Abhinav Prakash Gahlot and Rafael Orozco and Ziyi Yin and Felix J. Herrmann}
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}

‎Gahlot2025SEG/abstract.pdf‎

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