Tel: (970) 426-2506
Email: jackswsc@q.com

Publications

Schuenemeyer, J.H., 2014, Hierarchical Bayesian spatial discovery modeling & resource costs in oil shale plays, US Energy Information Administration, American Statistical Association, Energy Statistics Meeting, Nov. 6, 2014, Washington, DC.


 

Schuenemeyer, J.H. and Gautier, D., 2014, Probabilistic Resource Costs of Continuous Oil Resources in the Bakken and Three Forks Formations, North Dakota and Montana, Unconventional Resources Technology Conference, Denver, Colorado, USA, 25-27 August 2014, 6 p.


 

Frye, M., Shedd, W. and Schuenemeyer, J., 2013, Gas hydrate resource assessment Atlantic Outer Continental Shelf, spatial analysis of inputs & outputs + graphical & mathematical description of models and sub-models, U.S. Bureau of Ocean Energy Management, Report RED 2013-01, 57 p.


 

Gough, L.P., Lamothe, P.J., Sanzolone, Drew, L.J., Maier, J.A.K., and Schuenemeyer, J.H., 2013, Cadmium geochemistry of soils and willow in a metamorphic bedrock terrain, Alaska, and its possible relation to moose health: Alces, v. 49, p. 1-13.


 

Kaufman, G.M., Faith, R.E., and Schuenemeyer, J.H., 2013, Predictive probability distributions for petroleum unit resource projections via hierarchical modeling, Massachusetts Institute of Technology Sloan Resarch Paper No. 4981-12.


 

Blondes, MS, Schuenemeyer, JH, Olea, RA, and Drew, LJ, 2013, Aggregation of carbon dioxide sequestrations storage assessment units, Stochastic Environmental Research and Risk Assessment, v. 27, p. 1839-1859.


Frye, M, Shedd, W, Piper, K., and Schuenemeyer, JH, 2013, BOEM Releases Assessment of In-Place Gas Hydrate Resources of the Lower 48 United States Outer Continental Shelf, US Dept. of Energy, Fire in the Ice, v. 12, no. 1


Frye, M., Schuenemeyer, J.H., Shedd, W., Piper, K., and Herman B., 2011, Gas hydrate resource assessment on the United States outer continental shelf: a mass balance model, Proceedings of the 7th International Conference on Gas Hydrates (ICGH 2011), Edinburgh, Scotland, United Kingdom, July 17-21, 2011, 12 p.


 

Schuenemeyer, JH and Donald L. Gautier, 2010, Aggregation methodology for the Circum-Arctic resource appraisal: Mathematical Geosciences v.42, n. 5, p. 583-594.


 

Gautier, Donald L., Kenneth J. Bird, Ronald R. Charpentier, Arthur Grantz, David W. Houseknecht, Timothy R. Klett, Thomas E. Moore, Janet K. Pitman, Christopher J. Schenk, John H. Schuenemeyer, Kai Sørensen, Marilyn E. Tennyson, Zenon C. Valin, and Craig J. Wandrey, 2009, Assessment of undiscovered oil and gas in the Arctic: Science 324 (5931), 1175. [DOI: 10.1126/science.1169467]


 

Drew, L.J., Grunsky, E.C., M.R., and Schuenemeyer, J.H., 2008, Investigation of the structure of geological process through multivariate statistical analysis – the creation of a coal: Mathematical Geosciences, v. 40, n. 7, p. 789-821.


 

Frye, M., Grace, J., Hunt, J., Kaufman, G., Schuenemeyer, J., and Shedd, W., 2008, Methane hydrate resources assessment of the Outer Continental Shelf: In-place Gulf of Mexico results. Proceedings of the 6th International Conf on Gas Hydrates, Vancouver, British Columbia, July 6-10, 2008.


 

Schuenemeyer, J.H. Methodology for the 2005 USGS assessment of undiscovered oil and gas resources, Central North Slope, Alaska: U.S. Geological Survey Open File Report 2005-1410. Available on line at http://pubs.usgs.gov/of/2005/1410/


 

Drew, L.J., Southworth, S., Sutphin, D.M., Rubis, G.A., Schuenemeyer, J.H., and Burton, W.C., 2004, Validation of the relations between patterns in the structure of fractured bedrock and structural information interpreted from 2D-variogram maps of water-well yields, Nonrenewable Resources, v. 13, n. 4, pp. 255-264.


 

Schuenemeyer, J.H., 2003, Methodology and results from the assessment of oil and gas resources, National Petroleum Reserve, Alaska: U. S. Geological Survey Open-File Report 03-118. Available online at: http://geopubs.wr.usgs.gov/open-file/of03-118/of03-118.pdf


 

Drew, L.J., Karlinger, M.R., Schuenemeyer, J.H., and Armstrong, T.R., 2003, Hydrogeologic significance of the association between well-yield variography and bedrock geologic structures, Pinardville Quadrangle, New Hampshire: Natural Resources Research, v. 12, n. 1, p. 79-91.


 

Schuenemeyer, J.H., Karlinger, M.R., and Drew, L.J., 2002, The effects of declustering on ground-water estimation, Proceedings of 2002 International Association for Mathematical Geology, Berlin, Germany, 20 p.


 

Drew, L.J., Sutphin, D.M., and Schuenemeyer, J.H., 2002, Geology and medicine-recovery and use of a large set of chemical data for soil and plant samples collected in the 1960s and the 1970s, Proceedings of 2002 International Association for Mathematical Geology, Berlin, Germany.


 

Schuenemeyer, J.H., 2003, Methodology and results for the assessment of oil and gas resources, National Petroleum Reserve Alaska: U.S. Geological Survey OFR 03-118, available at http://geopubs.wr.usgs.gov/open-file/of03-118/.


 

Schuenemeyer, J.H., 2002, A framework for expert judgment to assess oil and gas resources: Natural Resources Research, v. 11, no. 2, p. 97-107.


 

Attanasi, E.D., and Schuenemeyer, J.H., 2002, Some aspects of resource uncertainty and their economic consequences in assessment of the 1002 area of the Arctic National Wildlife Refuge: Natural Resources Research, v. 11, no. 2, p. 109-120.

Welcome

Meet Jack John H. (Jack) Schuenemeyer, Ph.D is a consulting statistician, teacher, and researcher. Statistical analysis and modeling areas of application include earth and environmental sciences and energy. His recent…

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Experience

John H. (Jack) Schuenemeyer, Ph.D is a consulting statistician, teacher, and researcher. Statistical analysis and modeling areas of application include earth and environmental sciences and energy. His recent work with…

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Energy Water Climate

Energy Developing resource methodology for the Bureau of Ocean Energy Management gas hydrate assessment of Federal offshore areas Developed methodology (Monte Carlo simulation and elicitation of expert judgment) for the…

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Courses in R

Courses in R for earth scientists by John H (Jack) Schuenemeyer Southwest Statistical Consulting, LLC R is an open source language increasingly used in the earth, environmental, and biological sciences. …

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Affiliated Consultants

Gordon Kaufman 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…

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