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Timothy Anderson
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Multimodal imaging and machine learning to enhance microscope images of shale
TI Anderson, B Vega, AR Kovscek
Computers & Geosciences 145, 104593, 2020
512020
Flexible and efficient optimization of quantitative sequences using automatic differentiation of Bloch simulations
PK Lee, LE Watkins, TI Anderson, G Buonincontri, BA Hargreaves
Magnetic resonance in medicine 82 (4), 1438-1451, 2019
462019
Striving to translate shale physics across ten orders of magnitude: What have we learned?
Y Mehmani, T Anderson, Y Wang, SA Aryana, I Battiato, HA Tchelepi, ...
Earth-Science Reviews 223, 103848, 2021
342021
Time compressed delivery for quantitative college courses: The key to student success
TI Anderson, RJ Anderson
Academy of Educational Leadership Journal 16, 55, 2012
252012
Reconstructing porous media using generative flow networks
KM Guan, TI Anderson, P Creux, AR Kovscek
Computers & Geosciences 156, 104905, 2021
222021
Analysis and comparison of in-situ combustion chemical reaction models
TI Anderson, AR Kovscek
Fuel 311, 122599, 2022
192022
RockFlow: Fast generation of synthetic source rock images using generative flow models
TI Anderson, KM Guan, B Vega, SA Aryana, AR Kovscek
Energies 13 (24), 6571, 2020
172020
Multimodal brain MRI tumor segmentation via convolutional neural networks
L Shen, T Anderson
vol 18, 2014-2015, 2017
162017
Economic analysis of solar-based thermal enhanced oil recovery
T Anderson
SPE Annual Technical Conference and Exhibition?, SPE-173466-STU, 2014
132014
Optimization and uncertainty quantification of in situ combustion chemical reaction models
TI Anderson, AR Kovscek
Fuel 319, 123683, 2022
122022
Applications of additive manufacturing to rock analogue fabrication
T Anderson
SPE Annual Technical Conference and Exhibition?, D023S099R013, 2016
122016
2D-to-3D image translation of complex nanoporous volumes using generative networks
TI Anderson, B Vega, J McKinzie, SA Aryana, AR Kovscek
Scientific Reports 11 (1), 20768, 2021
62021
Ignition forecast based on chemical kinetics and uncertainty quantification
Y Li, TI Anderson, AR Kovscek
SPE Western Regional Meeting, 2021
52021
Predicting heavy oil combustion kinetics with machine learning
TI Anderson, Y Li, AR Kovscek
SPE Western Regional Meeting, 2021
42021
Split-complex convolutional neural networks
T Anderson
42017
Regularization and Applications of a Network Structure Deep Image Prior
T Anderson
Semantic Scholar, 2018
22018
Data-driven methods in laboratory-scale study of enhanced oil recovery
T Anderson
Stanford University, 2021
12021
Evaluation of Image Prediction Models for Nondestructive Porous Media Characterization
T Anderson, B Vega, K Guan, A Kovscek
AGU Fall Meeting Abstracts 2021, H53A-04, 2021
2021
Reconstruction and Synthesis of Source Rock Images at the Pore Scale
T Anderson
SPE Annual Technical Conference and Exhibition?, D011S199R010, 2021
2021
Rapid Synthesis of Porous Media Volumes with Deep Learning Generative Models
T Anderson, KM Guan, AR Kovscek
AGU Fall Meeting 2020, 2020
2020
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