Sherilyn Williams-Stroud

Wang, H., Williams-Stroud, S., Crandall, D., & Chen, C. (2024). Machine learning and deep learning for mineralogy interpretation and CO₂ saturation estimation in geological carbon Storage: A case study in the Illinois Basin. Fuel, 361, Article 130586. https://doi.org/10.1016/j.fuel.2023.130586

Leetaru, H. E., Williams-Stroud, S., Freiburg, J., McBride, J., & Whittaker, S. (2023). Geological risk and uncertainty for underground storage of buoyant fluids, lessons learned in Illinois. Geological Society Special Publication, 528, 449-459. https://doi.org/10.1144/SP528-2022-85

Schultz, R. A., Heinemann, N., Horváth, B., Wickens, J., Miocic, J. M., Babarinde, O. O., Cao, W., Capuano, P., Dewers, T. A., Dusseault, M., Edlmann, K., Goswick, R. A., Hassanpouryouzband, A., Husain, T., Jin, W., Meng, J., Kim, S., Molaei, F., Odunlami, T., ... Zhao, Q. (2023). An overview of underground energy-related product storage and sequestration. Geological Society Special Publication, 528(1), 15-35. https://doi.org/10.1144/SP528-2022-160

Schultz, R. A., Williams-Stroud, S., Horváth, B., Wickens, J., Bernhardt, H., Cao, W., Capuano, P., Dewers, T. A., Goswick, R. A., Lei, Q., McClure, M., Prasad, U., Schwartz, B. A., Yu, H., Voegeli, S., & Zhao, Q. (2023). Underground energy-related product storage and sequestration: site characterization, risk analysis and monitoring. Geological Society Special Publication, 528(1), 37-59. https://doi.org/10.1144/SP528-2022-66

Bromhal, G., Mishra, S., Guthrie, G., Aminzadeh, F., Crandall, D., Alumbaugh, D., White, J., Williams-Stroud, S., Azzolina, N., Yonkofski, C., McGuire, T., Pawar, R., Schuetter, J., Morris, J., Butler, S., Viswanathan, H., & Carr, T. (2022). The SMART Initiative: Applying Machine Learning to Enable Efficient and Effective Real-Time Decisions for Geological Carbon Storage Operations. SSRN. https://doi.org/10.2139/ssrn.4296267

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