Journal and Conference Papers

• Anderson, T.I., Kovscek A.R. Optimization and Uncertainty Quantification of In-Situ Combustion Kinetics Parameters. Fuel, in review 2021.
• Anderson, T.I., Kovscek, A.R. Analysis and Comparison of Heavy Oil Combustion Reaction Models. Fuel, to appear 2021.
• Mehmani, Y., Anderson, T., Wang, Y., Aryana, S.A., Battiato, I., Tchelepi, H.A., & Kovscek, A.R. (2021). Striving to translate shale physics across ten orders of magnitude: What have we learned? Earth-Science Reviews, 223, 103848.
• Anderson, T.I., Vega, B., Mckinzie, J., Wang, Y., Aryana, S., Kovscek, A.R. (2021). 2D-to-3D image translation of complex nanoporous volumes using generative networks. Nature Scientific Reports, 11, 20768. [Code]
• Anderson, T.I. “Reconstruction and Synthesis of Source Rock Images at the Pore Scale.” Paper presented at the SPE Annual Technical Conference and Exhibition, Dubai, UAE and Virtual, September 2021.
• Anderson, T.I., Li, Y., Kovscek, A.R. “Predicting Heavy Oil Combustion Kinetics with Machine Learning.” Paper presented at the SPE Western Regional Meeting, Virtual, April 2021. [Code]
• Li, Y., Anderson, T.I., Kovscek, A.R. “Ignition Forecast Based on Chemical Kinetics and Uncertainty Quantification.” Paper presented at the SPE Western Regional Meeting, Virtual, April 2021.
• Guan, K.M., Anderson, T.I., Creux, P., & Kovscek, A.R. (2021). Reconstructing porous media using generative flow networks. Computers & Geosciences 156, 104905. [Code]
• Anderson, T.I., Guan, K.M., Vega, B., Aryana, S., Kovscek, A.R., 2020. RockFlow: Fast Generation of Synthetic Source Rock Images Using Generative Flow Models. Energies 13(24), 6571. [Code]
• Anderson, T.I., Vega, B., Kovscek, A.R., 2020. Multimodal imaging and machine learning to enhance microscope images of shale. Computers and Geosciences 145, 104593. [Code]
• Lee, P.K., Watkins, L.E., Anderson, T.I., Buonincontri, G., Hargreaves, B.A. (2019). Flexible and efficient optimization of quantitative sequences using automatic differentiation of Bloch simulations. Magnetic Resonance in Medicine, 00: 1-14. [Code]
• Timothy Anderson. Applications of Additive Manufacturing to Rock Analogue Fabrication. Paper presented at the SPE Annual Technical Conference and Exhibition, Dubai, UAE, September 2016.
• Timothy Anderson. Economic Analysis of Solar-Based Thermal Enhanced Oil Recovery. Paper presented at the SPE Annual Technical Conference and Exhibition, Amsterdam, The Netherlands, October 2014.
• Anderson, T.I. and Anderson, R.J. Applications of machine learning to student grade prediction in quantitative business courses. Global Journal of Business Pedagogy 1(3), 13-22.

Posters and Talks

• Timothy I Anderson, Bolivia Vega, Laura Frouté, Kelly Guan, Anthony R Kovscek. International Conference on Machine Learning Tackling Climate Change with Machine Learning Workshop, “Improving Image-Based Characterization of Porous Media with Deep Generative Models.” Online, July 2021.
• Manju Pharkavi Murugesu, Timothy Anderson, Niccolo Dal Santo, Vignesh Krishnan, Anthony Kovscek. International Conference on Machine Learning Tackling Climate Change with Machine Learning Workshop, “Enhancing Laboratory-scale Flow Imaging of Fractured Geological Media with Deep Learning Super Resolution.” Online, July 2021.
• Timothy I Anderson, Bolivia Vega, Laura Frouté, Kelly Guan, Anthony R Kovscek. International Conference on Learning Representations Workshop on Deep Learning for Simulation, “Simulation Domain Generation for Characterization of Shale Source Rocks.” Online, May 2021.
• Kelly M Guan, Timothy I Anderson, Anthony R Kovscek, International Conference on Learning Representations Workshop on Synthetic Data Generation, “Evaluating the Quality of Synthetic Images of Porous Media: A Morphological and Physics-Based Approach.” Online, May 2021.
• Timothy Anderson, Kelly M Guan, Anthony R Kovscek, American Geophysical Union Fall Meeting, “Rapid Synthesis of Porous Media Volumes with Deep Learning Generative Models.” Online, Dec. 2020.
• Timothy Anderson, Bolivia Vega, Jesse Mckinzie, Yuhang Wang, Saman Aryana, Anthony Kovscek, American Geophysical Union Fall Meeting, “Three-Dimensional Source Rock Image Reconstruction through Multimodal Imaging.” Online, Dec. 2020.
• Manju Pharkavi Murugesu, Timothy Anderson, Anthony Kovscek, American Geophysical Union Fall Meeting, “Improved Visualization of Reactive Transport Dynamics in Fractured Shales using Computed Tomography and Deep Learning Super Resolution.” Online, Dec. 2020.
• Timothy Anderson. Department of Energy Basic Energy Sciences Seminar. “Synthesis of Porous Media Samples for Improved Characterization of Shales.” Online, Nov. 2020.
• Timothy Anderson, Bolivia Vega, Anthony Kovscek, American Geophysical Union Fall Meeting, “Deep Learning and Multimodality Imaging to Improve Shale Fabric Characterization.” San Francisco, USA, Dec. 2019.

Patents

• Anderson, T.; Martinez-Canales, M.; Sharma, V.; “Neural Network Training” 2018, US Patent Application No. 15/869,987.