• Professor
  • Assistant Department Head, Academics
  • Albert B. Stevens Chair Professor in Petroleum Engineering
  • Associate Director, Crisman Institute for Petroleum Research
Duane McVay

Educational Background

  • Doctor of Philosophy, petroleum engineering, Texas A&M University - 1994
  • Master of Science, petroleum engineering, Texas A&M University - 1982
  • Bachelor of Engineering, petroleum engineering, Texas A&M University - 1980

Research Interests

    • Risk and uncertainty assessment
    • Unconventional resource assessment
    • Petroleum reservoir simulation
    • Integrated reservoir characterization and management

Industry Experience

    • Senior Vice-President and Technology Specialist, S.A. Holditch & Associates, Inc. - 1982-1999

Certifications & Memberships

  • Distinguished Member, Society of Petroleum Engineers - 2007
  • Member, Petroleum Engineering Academy of Distinguished Graduates of Texas A&M University - 2015

Awards & Honors

  • Distinguished Lecturer, Society of Petroleum Engineers - 2015-2016
  • Practice Award, Decision Analysis Society of the Institute for Operations Research and the Management Sciences - 2006

Selected Publications

  • Alarfaj, M., and McVay, D.A. 2019. Improved Framework for Measuring the Magnitude and Impact of Biases in Project Evaluation. SPE Reservoir Evaluation & Engineering. SPE-181430-PA. https://doi.org/10.2118/181430-PA.
  • Dong, Z., Holditch, S.A., McVay, D.A., Ayers, Jr., W.B., Lee, W.J., and Morales, E. 2015. Probabilistic Assessment of World Recoverable Shale-Gas Resources. SPE Economics & Management, Vol. 7, No. 2, pp. 72-82.
  • McVay, D.A. 2015. Industry Needs Re-Education in Uncertainty Assessment. Journal of Petroleum Technology, Vol. 67, No. 2, pp. 72-76.
  • Gong, X., Gonzalez, R., McVay, D.A. and Hart, J.D. 2014. Bayesian Probabilistic Decline-Curve Analysis Reliably Quantifies Uncertainty in Shale-Well-Production Forecasts. SPE Journal, Vol. 19, No. 6, pp. 1047-1057.
  • McVay, D.A., and Dossary, M.N. 2014. The Value of Assessing Uncertainty. SPE Economics & Management, Vol. 6, No. 2, pp. 100-110.