Emil D. Attanasi, Ph.D.
Emil Attanasi is a Supervisory Research Economist (Scientist Emeritus) with the USGS Geology, Energy & Minerals (GEM) Science Center in Reston, VA.
Emil Attanasi has been an economist with the U.S. Geological Survey since 1972. His work focuses on the valuation of hydrologic data, development of resource assessment methods for undiscovered oil and gas, assessment of CO2-EOR potential, and the application of economics to oil, gas, and minerals resource assessments.
Professional Experience
United States Geological Survey since 1972
Education and Certifications
Ph.D. University of Missouri, 1972, Economics
M.S. George Mason University, 2003, Statistical Science
B.A. Evangel College, 1969, Mathematics
Affiliations and Memberships*
American Economic Association, 1972 – present
Science and Products
Natural bitumen and extra-heavy oil Natural bitumen and extra-heavy oil
A Program for Partitioning Shifted Truncated Lognormal Distributions into Size-Class Bins A Program for Partitioning Shifted Truncated Lognormal Distributions into Size-Class Bins
Heavy oil and natural bitumen resources in geological basins of the world Heavy oil and natural bitumen resources in geological basins of the world
Statistics of petroleum exploration in the world outside the United States and Canada through 2001 Statistics of petroleum exploration in the world outside the United States and Canada through 2001
Economic decision making and the application of nonparametric prediction models Economic decision making and the application of nonparametric prediction models
Prediction of resource volumes at untested locations using simple local prediction models Prediction of resource volumes at untested locations using simple local prediction models
Oil and gas assessment of central North Slope, Alaska, 2005 Oil and gas assessment of central North Slope, Alaska, 2005
Economic analysis of undiscovered oil and gas of the central North Slope of Alaska, 2005 Economic analysis of undiscovered oil and gas of the central North Slope of Alaska, 2005
Discovery sequence and the nature of low permeability gas accumulations Discovery sequence and the nature of low permeability gas accumulations
Economics of undiscovered oil and gas in the central North Slope, Alaska Economics of undiscovered oil and gas in the central North Slope, Alaska
Science and Products
Natural bitumen and extra-heavy oil Natural bitumen and extra-heavy oil
A Program for Partitioning Shifted Truncated Lognormal Distributions into Size-Class Bins A Program for Partitioning Shifted Truncated Lognormal Distributions into Size-Class Bins
Heavy oil and natural bitumen resources in geological basins of the world Heavy oil and natural bitumen resources in geological basins of the world
Statistics of petroleum exploration in the world outside the United States and Canada through 2001 Statistics of petroleum exploration in the world outside the United States and Canada through 2001
Economic decision making and the application of nonparametric prediction models Economic decision making and the application of nonparametric prediction models
Prediction of resource volumes at untested locations using simple local prediction models Prediction of resource volumes at untested locations using simple local prediction models
Oil and gas assessment of central North Slope, Alaska, 2005 Oil and gas assessment of central North Slope, Alaska, 2005
Economic analysis of undiscovered oil and gas of the central North Slope of Alaska, 2005 Economic analysis of undiscovered oil and gas of the central North Slope of Alaska, 2005
Discovery sequence and the nature of low permeability gas accumulations Discovery sequence and the nature of low permeability gas accumulations
Economics of undiscovered oil and gas in the central North Slope, Alaska Economics of undiscovered oil and gas in the central North Slope, Alaska
*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government