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Mehrdad Gharib Shirangi

Title: Machine Learning Engineer | Digital Transformation Lead
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Stanford SES Profile:SES Profile.
E-mail: mehr@alumni.stanford.edu

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Education

  • 2016 | PhD, Stanford University
  • 2011 | Master of Science, University of Tulsa
  • 2009 | Bachelor of Science, Mechanical Engineering, Sharif University
  • 2009 | Bachelor of Science, Chemical Engineering, Sharif University

Honors & Awards

  • 2014 | Recipient of Hossein Kazemi Award from APPIH
  • 2012 | Recipient of SPE Star Fellowship in the Western North American Region
  • 2011 | Member of Phi Kappa Phi National Honor Society
  • 2004 | Ranked 34th in the nation-wide university entrance examination among 450,000 participants, Iran

Professional Experience

  • 2016-2019 | Sr data scientist | Digital transformation lead GE Oil & Gas
  • 2013-2014 | Reservoir optimization expert at QRI Innovation Group
  • 2007-2009 | Simulation & analytics engineer at North Drilling Company
  • 2006 | Mechanical engineer at Gorgan Felez Company

Teaching Experience

  • Teaching Assistant for "Advanced reservoir engineering".  Spring 2015
  • Teaching Assistant for "Advanced reservoir simulation".  Fall 2012

Journal Articles

  • 2019 | Shirangi, M. G., Closed-loop field development with multipoint geostatistics and statistical performance assessment. Journal of Computational Physics 390: 249-264. (download)
  • 2017 | Shirangi, M. G., Volkov, O., Durlofsky, L. J., Joint optimization of economic project life and well controls. SPE Journal (download)
  • 2016 | Shirangi, M. G., Durlofsky, L. J., A general method to select representative models for decision making and optimization under uncertainty, Computers & Geosciences 96: 109-123. (download)
  • 2016 | Shirangi, M. G., Emerick, A. A., An Improved TSVD-based Levenberg-Marquardt Algorithm for History Matching and Comparison with Gauss-Newton,   Journal of Petroleum Science and Engineering 143: 258-271. (download)
  • 2015 | Shirangi, M. G., Durlofsky, L. J., Closed-loop field development under uncertainty by use of optimization with sample validation, SPE Journal 20 (05): 908-922. (download)
  • 2014 | Shirangi, M. G., History matching production data and uncertainty assessment with an efficient TSVD parameterization algorithm,  Journal of Petroleum Science and Engineering 113: 54-71. (download)

Conference Articles

  • 2020 | Shirangi MG, KS Sims, E Furlong. Digital twins for well planning and bit dull grade prediction. Paper SPE-200740-MS presented at the SPE Norway Subsurface Conference, Bergen, Norway. (download)
  • 2020 | Shirangi, M. G., Ettehadi R, Aragall R, Furlong E. Digital Twins for Drilling Fluids: Advances and Opportunities. Paper SPE-199681-MS presented at IADC/SPE International Drilling Conference. Galveston, Texas. (download)
  • 2020 | Samnejad, M., M. G. Shirangi, R Ettehadi. 2020. A digital twin of drilling fluids rheology for real-time rig operations. Paper OTC-30738 presented at Offshore Technology Conference. Houston, Texas. (download)
  • 2020 | Popp T, MG Shirangi. Prescriptive Data Analytics to Optimize Casing Exits . Paper SPE-199612-MS presented at IADC/SPE International Drilling Conference. Galveston, Texas. (download)
  • 2019 | Shirangi, M. G., Oruganti Y, Wilson TA, Furlong E, Winter E, Martin J, Yancy R, Prescriptive Analytics for Completion Optimization in Unconventional Resources. Paper SPE-195311 presented at SPE Western Regional Conference, San Jose, California. (download)
  • 2017 | Shirangi, M. G., Volkov, O., Durlofsky, L. J., Joint optimization of economic project life and well controls. Paper SPE 182642 presented at SPE Reservoir Simulation Conference, Houston, Texas. (download)
  • 2015 | Shirangi, M. G., Durlofsky, L. J., Closed-loop field development optimization under uncertainty. Paper SPE 173219 presented at SPE RSS, Houston, Texas. (download)
  • 2013 | Shirangi, M. G., Closed-loop field development optimization. Proceedings of the 26th Annual SCRF Meeting, Palo Alto, CA. (download)
  • 2012 | Shirangi, M. G., Mukerji, T., Retrospective optimization of well controls under uncertainty using kernel clustering,  Proceedings of the 25th Annual SCRF Meeting, Monterey, CA. (download)
  • 2012 | Shirangi, M. G., Applying Machine Learning Algorithms to Oil Reservoir Production Optimization, Stanford Machine Learning. (download)

Conferences and Invited Presentations

"It's not about what you do, it's the way you do it! It's the style that matters!"