Selected list of publications of John H. Schuenemeyer.

    A complete list is available by request.

  • Validation of the relation between structural patterns in fractured bedrock and structural information interpreted from 2D-variogram maps of water-well yields in Loudoun County, Virginia: Natural Resources Research, 2004, v. 13, n. 4, p. 255-264. (With L.J. Drew, S. Southworth, D.M. Rubis, and W.C. Burton.)

  • Methodology and results for the assessment of oil and gas resources, National Petroleum Reserve, Alaska, 2003, Geological Survey, Open File Report 03-118, 201p. (Download: http://geopubs.wr.usgs.gov/open-file/of03-118/)

  • 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.

  • 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 (in press).

  • Schuenemeyer, J.H., 2002, Methodology and results for the assessment of oil and gas resources, National Petroleum Reserve Alaska: Web published, U.S. Geological Survey (in press).

  • 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.

  • Schuenemeyer, J.H., 2002, The impact of the internet and technology on consulting practice: The Statistical Consultant, v. 19, no. 1-2, American Statistical Association, p. 9-11.

  • Schuenemeyer, J.H., and Power, Helen C., 2000, Uncertainty estimation for resource assessment-an application to coal: Mathematical Geology, v. 32, no. 5, p. 521-541.

  • Attanasi, E. D. and Schuenemeyer, J. H., 1999, Economics and resource uncertainty: The 1002 Area of the Arctic National Wildlife Refuge in Proceedings of 1999 SPE Hydrocarbon Economics and Evaluation Symposium, SPE 52948, Dallas, Texas, pp. 81-90.

  • Schuenemeyer, J.H., 1999, Methodology, in the oil and gas resource potential of the 1002 Area, Arctic National Wildlife Refuge, Alaska, U.S. Geological Survey Open File Report 98-34, CDROM.

  • Schuenemeyer, J.H., 1999, Assessment results, in the oil and gas resource potential of the 1002 Area, Arctic National Wildlife Refuge, Alaska, U.S. Geological Survey Open File Report 98-34, CDROM.

  • Schuenemeyer, J.H., and Drew, L.J., 1999, Uncovering influences on the form of oil and gas field size distributions: Natural Resources Research, v. 8, no. 1, p. 37-47.

  • Drew, L.J., and Schuenemeyer, J.H., 1997, Oil and gas resource assessment in certain South American Basins-An application of ARDS (Ver. 5.0) to complex exploration and discovery histories: Nonrenewable Resources, v. 6, p. 295-315.

  • Schuenemeyer, J.H., and Drew, L.J., 1996, Description of a discovery process modeling procedure to forecast future oil and gas using field growth (ARDS 4.01): U.S. Geological Survey Digital Data Series DDS-36.

  • Drew, L.J., Schuenemeyer, J.H., and Mast, R.F., 1995, Application of the modified Arps-Roberts discovery process model to the 1995 U.S. National Oil and Gas Assessment: Nonrenewable Resources, v. 4, p. 242-252.

  • Altekar, M., Lucas, J., and Schuenemeyer, J.H., 1995, Shift detection in two-way arrays: Communications in Statistics -Simulation, v. 24, p. 711-731.

  • Drew, L.J., and Schuenemeyer, J.H., 1993, The evolution and use of discovery process models at the U.S. Geological Survey: American Association of Petroleum Geologists Bulletin, v. 77, p. 467-478.

  • McCammon, R.B., Menzie, W.D., and Schuenemeyer, J.H., eds., 1992, Energy- and mineral-resource assessments--How are they done? Who are they for? How effective are they?: Nonrenewable Resources, v. 1, p. 5-38.

  • Drew, L.J., and Schuenemeyer, J.H., 1992, A petroleum discovery-rate forecast revisited—the problem of field growth: Nonrenewable Resources, v. 1, p.5-38.

  • Coburn, T.C., and Schuenemeyer, J.H. (editors), 1991, When are we really going to run out of oil and gas? Statistical, political, economic and geoscientific issues: Mathematical Geology, v. 23, p. 403-442.

  • Tung, S.T.Y., and Schuenemeyer, J.H., 1990, An expert system for statistical consulting: Applied Statistics, v. 18, no. 1, p. 35-47.

  • Schuenemeyer, J.H., Drew, L.J., Root, D.H., and Attanasi, E.D., 1990, Estimating potential for small fields in mature petroleum province - discussion: American Association of Petroleum Geologists Bulletin, v. 74, p. 1761- 1763.

  • Jogeklar, G., Schuenemeyer, J.H., and LaRiccia, V.L., 1989, Lack of fit testing when replicates are not available: American Statistician, v. 43, p. 135-143.

  • Attanasi, E.D., and Schuenemeyer, J.H., 1989, Robustness of disaggregated oil and gas discovery forecasting models: Marine and Petroleum Geology, v. 6, p. 270-276.

  • Schuenemeyer, J.H., and Tung, S.T., 1988, An expert system for statistical strategies: The Statistical Consultant, v. 5, Subsection on Statistical Consulting Education, American Statistical Association, p. 1-2.

  • Drew, L.J., Attanasi, E.D., and Schuenemeyer, J.H., 1988, Observed oil and gas field size distributions: A consequence of the discovery process and prices of oil and gas: Mathematical Geology, v. 20, no. 8, p. 939-953.

  • Schuenemeyer, J.H., and Reed, M.J., 1987, Statistics: A discussion of the development and implementation of CAI lessons: EDU Magazine, Issue 43, p. 24-26.

  • Hoerl, R.W., Schuenemeyer, J.H., and Hoerl, A.E., 1986, A simulation study of biased estimation and subset regression techniques: Technometrics, v. 28, no. 4, p. 369-380.

  • Schuenemeyer, J.H., and Houghton, J.C., 1985, Oil and gas resource estimation procedures: Journal of Resource Management & Technology, v. 14, no. 1, p. 35-40.

  • Schuenemeyer, J.H., 1984, Directional data: in Gaile G.L. and Willmott, C.J., ed., Spatial Statistics and Models: Reidel, Dordrecht, p. 253-270.

  • Schuenemeyer, J.H., and Drew, L.J., 1983, A procedure to estimate the parent population of the size of oil and gas fields as revealed by a study of economic truncation: Mathematical Geology, v. 15, no. 1, p. 145-161.

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