Roman Shor

About

Roman Shor, Ph.D., P.Eng., is an Associate Professor in the Harold Vance Department of Petroleum Engineering at Texas A&M University. Previously, he was an Associate Professor and the Energi Simulation Industrial Research Chair in Geothermal Systems at the University of Calgary. He holds a BA in mathematics and a BSE and MSE in computer science from the University of Pennsylvania and an MSE and PhD in petroleum engineering from the University of Texas at Austin. He is interested in energy systems, the interplay of renewable and traditional energy sources, systems thinking, and sustainability.

He leads the Wells for the Future Consortiuma at Texas A&M and his research interests lie in the areas of drillstring dynamics modelling and control, drilling optimization, drilling systems automation and drilling in extreme environments. His team explores topics in deep drilling systems with the goal of reducing well costs to enable deep geothermal systems. He also applies machine learning techniques to problems in the energy sector and is interested in reducing the impact of drilling operations on the environment and surrounding communities. He collaborates with researchers around the world on topics in geothermal energy, drill string dynamics, and the subsurface as an energy asset. He continues his collaboration with researchers in the Energi Simulation Centre for Geothermal Systems Research at the University of Calgary to help plan, develop and monitor geothermal demonstration projects throughout Western Canada.

Publications

Google Scholar Profile

Highlights: Drilling Systems

• Ambrus, A., Cayeux, E., & Shor, R. J. (2024). Investigation of field scenarios using a 4n degrees of freedom transient torque and drag model. Geoenergy Science and Engineering, 233, 212563.
• Shor, R. J., Mai, A., Manolakos, A. E., Sambrook, J., Trivedi, A., Hess, S., & Arseniuk, S. (2023, March). Enabling High Performance Multi-Lateral Wells: Current Technologies and Gaps. In SPE Canadian Energy Technology Conference and Exhibition. OnePetro.
• Auriol, J., Shor, R., Niculescu, S. I., & Kazemi, N. (2022, June). Estimating Drill String Friction with Model-Based and Data-Driven Methods. In 2022 American Control Conference (ACC) (pp. 3464-3469). IEEE.
• Auriol, J., Boussaada, I., Shor, R. J., Mounier, H., & Niculescu, S. I. (2022). Comparing advanced control strategies to eliminate stick-slip oscillations in drillstrings. IEEE Access, 10, 10949-10969.
• Kandala, S. S., & Shor, R. (2022). Evolution of static and kinetic friction in a horizontal well using an adaptive model-based observer: Field validation. Journal of Petroleum Science and Engineering, 208, 109663.
• Kandala, S. S., & Shor, R. (2021, October). Enabling Real-time Estimation of Borehole Parameters in Deep Drilling. In 2021 IEEE Sensors (pp. 1-4). IEEE.
• Zhang, H., Ashok, P., van Oort, E., & Shor, R. (2021). Investigation of pipe rocking and agitator effectiveness on friction reduction during slide drilling. Journal of Petroleum Science and Engineering, 204, 108720.

Highlights: Geothermal Energy

• Brasnett, G., Hickson, C., & Shor, R.J. (2023). Mapping Techno-Economic Feasibility of Geothermal Energy Resources in Alberta, Canada. Stanford Geothermal Workshop.
• Kandala, S.S., Mai, A., Vetsak, A. & Shor, R.J. (2022). An integrated model for deep drilling through hard rock. European Geothermal Congress.
• Sambrook, J.V., Manolakos, A.E., Mai, A., Kantza, A., Shor, R.J., Torre, A. & Vetsak, A. (2022). Geothermal Drilling in Deep and Hot Conditions with Conventional Technologies: Rig Design. European Geothermal Congress.
• Trivedi, A., De La Fuente Valadez, J., Kandala, S.S., Mai, A., Shor, R.J. & Vetsak, A. (2022, June). Experimental Study for the Validation of Drilling Optimization Model for Improved Performance in Hard Rock Formations. 56th US Rock Mechanics/Geomechanics Symposium.
• Shor, R.J., Kandala, S.S., Trivedi, A., Valadez, J., Mai., A. & Vetsak, A. (2022). Optimization of Hammer Bit Performance for Rotary Percussive Deep Drilling. Stanford Geothermal Workshop.
• Shor, R.J., Ashok, P. & van Oort, E. (2021). Identifying the Gaps to Achieve the Goal of ‘Geothermal Anywhere’. Geothermal Rising Conference.
• Ashok, Pradeepkumar, van Oort, E. & Shor, R.J. (2021). Leveraging Oil & Gas Well Construction Expertise for Deep Geothermal Drilling. Geothermal Rising Conference.
• Adepoju, Y., Shor, R.J. & Chen, Z. (2020). Geothermal Energy Development in the Canadian Cordillera, a Case Study. Geothermal Research Conference.

Open Source Projects

Dr. Shor is one of the leads of the Open Source Drilling Community, which seeks to accelerate drillstring dynamics model development through open source collaboration. As part of this, his team is developing and releasing PyDrill, an open source drilling modelling library. This library is designed to be easy to use and to provide a common interface for drillstring modelling.

Recent publications for the Open Source Drilling Community include:

• Shor, R. J., Kandala, S. S., Gildin, E., Noynaert, S. F., Losoya, E. Z., Kesireddy, V., … & Pastusek, P. E. (2022, March). Progress Toward an Open-Source Drilling Community: Contributing and Curating Models. In IADC/SPE International Drilling Conference and Exhibition. OnePetro.
• Pastusek, P., Payette, G., Shor, R., Cayeux, E., Aarsnes, U.J., Hedengren, J., Menand, S., Macpherson, J., Gandikota, R., Behounek, M., Harmer, R., Detournay, E., Illerhaus, R. & Liu, Y. (2019). Creating Open Source Models, Test Cases, and Data for Oilfield Drilling Challenges. SPE/IADC International Drilling Conference and Exhibition.

The early alpha version of PyDrill, released as DrillPyze, is currently in development. The documentation may be found here.