Gordon Kaufman is the Morris Adelman Professor Emeritus of Management at the Sloan School of Management, Massachusetts Institute of Technology. He has 40 years of experience in the development and application of statistical methodology to oil and gas resource estimation. His seminal work has been the development of a probabilistic discovery process model based upon sampling proportional to size. Kaufman has developed and applied Bayesian methods to solve problems in economics, sampling, and time series analysis. He has served as a consultant to numerous government agencies and private industry, including the U.S. Department of Interior, the U.S. Department of Justice, and the U.S. Energy Information Administration. He has served on National Academy of Sciences panels. Kaufman is an elected fellow of the American Statistical Association and the American Association for the Advancement of Science. He received a D.B.A. from the Harvard Business School and holds an M.B.A from Harvard University and an undergraduate degree from Yale University.
Dr. Tim Coburn serves as Director of the School of Energy Economics, Policy and Commerce within the Collins College of Business at The University of Tulsa. He is a professional statistician with extensive experience in the analysis and modeling of energy, transportation, environmental, and natural resources data, as well as data from the related health sciences. He has worked in various management and scientific positions in industry and government, and he is a seasoned educator and consultant. In his management and technical advisory roles, Coburn has participated in project planning and implementation; scientific investigations leading to the development of new products, technologies, or problem-solving strategies; policy analysis and development; risk and performance assessment; and litigation support. In addition, he is well versed in the physical, natural, engineering, and biological sciences, and he has strong computing and information management skills. Coburn holds a Ph.D and an M.S. degree in statistics from Oklahoma State University and bachelors’ degrees in mathematics and physics from Abilene Christian University.
With a career spanning almost four decades, Dr. Donald L. Gautier is an internationally recognized leader and author in the theory and practice of petroleum resource analysis. As a principal architect of modern USGS assessment methodology, Gautier’s accomplishments include leadership of the first comprehensive evaluation of undiscovered oil and gas resources north of the Arctic Circle, the first national assessment of United States petroleum resources to be fully documented in a digital environment, and the first development of performance-based methodology for assessment of unconventional petroleum resources such as shale gas or light, tight oil. He was lead scientist for the San Joaquin Basin and Los Angeles Basin Resource Assessment projects. His recent work has focused on the analysis of growth of reserves in existing fields and on the development of probabilistic resource/cost functions. Gautier is the author of more than 200 technical publications, most of which concern the evaluation of undiscovered and undeveloped petroleum resources. He holds a Ph.D. in geology from the University of Colorado.