Conference Papers

Neutel, J., Berson, A. ., Saltzer, S., Orr, F., Brandt, A. ., & Benson, S. (2024). What will it take to get to Net-Zero Emissions in California?. Society of Petroleum Engineers, 1-42. https://doi.org/10.2118/218852-MS

Zou, A., & Durlofsky, L. (2023). Integrated Framework for Optimization of Horizontal/Deviated Well Placement and Control for Geological CO2 Storage . SPE Reservoir Simulation Conference, 2023, SPE-212228. https://doi.org/10.2118/212228-MS

Okoroafor, E., Kim, T., Nazari, N., Watkins, H., Saltzer, S., & Kovscek, A. (2022). Assessing the Underground Hydrogen Storage Potential of Depleted Gas Fields in Northern California. SPE Annual Technical Conference and Exhibition, 2022, SPE-209987. https://doi.org/10.2118/209987-MS

Hashemi, S., Kovscek, A., & Zoback, M. (2022). Effect of Supercritical CO2 on the Poroelastic Characteristics of Poorly Cemented Sandstone Reservoirs During Depletion and Injection. SPE Annual Technical Conference and Exhibition, 2022, SPE-210228. https://doi.org/10.2118/210228-MS

Hydrogen Derived from Natural Gas with Carbon, Capture and Storage. (2022). Hydrogen Derived From Natural Gas with Carbon, Capture and Storage, 2022.

Crain, D., Saltzer, S., Benson, S., & Durlofsky, L. (2022). An Integrated Framework for Optimal Monitoring and History Matching in CO2 Storage Projects. ECMOR 2022, 2022, 1-15. https://doi.org/10.1007/s10596-023-10216-3

Kim, T. W., Yaw, S., & Kovscek, A. (2022). Evaluation of Geological Carbon Storage Opportunities in California and a Deep Look in the Vicinity of Kern County. SPE Western Regional Meeting, SPE-209340. https://doi.org/10.2118/209340-MS

Murugesu, M., Anderson, T., Dal Santo, N., Krishnan, V., & Kovscek, A. (2021). Enhancing Laboratory-scale Flow Imaging of Fractured Geological Media with Deep Learning Super Resolution (Proposals Track). ICML 2021 Workshop on Tackling Climate Change with Machine Learning.

Anderson, T., Guan, K., Vega, B., Froute, L., & Kovscek, A. (2021). Improving Image-Based Characterization of Porous Media with Deep Generative Models (Papers Track). ICML 2021 Workshop on Tackling Climate Change with Machine Learning.

Soulaine, C., & Tchelepi, H. (2016). Micro-continuum Formulation for Modelling Dissolution in Natural Porous Media. European Association of Geoscientists & Engineers, cp-494. https://doi.org/10.3997/2214-4609.201601761

Mishra, S., Ganesh, P., Schuetter, J., He, J., Jin, Z., & Durlofsky, L. (2015). Developing and Validating Simplified Predictive Models for CO2 Geologic Sequestration. SPE Annual Technical Conference and Exhibition, SPE-175097. https://doi.org/10.2118/175097-MS

Huo, D., Li, B., & Benson, S. (2014). Investigating Aperture-Based Stress-Dependent Permeability and Capillary Pressure in Rock Fractures. SPE Annual Technical Conference and Exhibition, SPE-170819. https://doi.org/10.2118/170819-MS

Al Ismail, M., Reece, J., Hol, S., & Zoback, M. (2014). The Effect of CO2 Adsorption on Permeability Anisotropy in the Eagle Ford Shale. Unconventional Resources Technology Conference, 2879. https://doi.org/10.15530/urtec-2014-1921520

Farghal, N., & Zoback, M. (2014). Utilizing Ant-tracking to Identify Slowly Slipping Faults in the Barnett Shale. Unconventional Resources Technology Conference, 2879. https://doi.org/10.15530/urtec-2014-1922263