Ricardo A. Olea, Ph.D. (Former Employee)
Science and Products
Filter Total Items: 84
Carbon dioxide enhanced oil recovery and residual oil zone studies at the U.S. Geological Survey Carbon dioxide enhanced oil recovery and residual oil zone studies at the U.S. Geological Survey
The U.S. Geological Survey (USGS) is preparing a national resource assessment of the potential hydrocarbons recoverable after injection of carbon dioxide (CO2) into conventional oil reservoirs in the United States. The implementation of CO2-enhanced oil recovery (CO2-EOR) techniques can increase hydrocarbon production, and lead to incidental retention of CO2 in reservoir pore space...
Authors
Peter D. Warwick, Emil D. Attanasi, Madalyn S. Blondes, Sean T. Brennan, Marc L. Buursink, Colin A. Doolan, Philip A. Freeman, Hossein Jahediesfanjani, C. Ozgen Karacan, Celeste D. Lohr, Matthew D. Merrill, Ricardo A. Olea, Jacqueline N. Roueche, Jenna L. Shelton, Ernie Slucher, Brian A. Varela, Mahendra K. Verma
Self-organizing maps for compositional data: coal combustion products of a Wyoming power plant Self-organizing maps for compositional data: coal combustion products of a Wyoming power plant
A self-organizing map (SOM) is a non-linear projection of a D-dimensional data set, where the distance among observations is approximately preserved on to a lower dimensional space. The SOM arranges multivariate data based on their similarity to each other by allowing pattern recognition leading to easier interpretation of higher dimensional data. The SOM algorithm allows for selection...
Authors
Josep M. Martin-Fernandez, Mark A. Engle, Leslie F. Ruppert, Ricardo A. Olea
Compositional data analysis of coal combustion products with an application to a Wyoming power plant Compositional data analysis of coal combustion products with an application to a Wyoming power plant
A mathematically sound approach for summarizing chemical analyses of feed coal and all its combustion products (bottom ash, economizer fly ash, and fly ash) is presented. The nature of the data requires the application of compositional techniques when conducting statistical analysis, techniques that have not been applied before to the study of partitioning of elements between the coal...
Authors
J. A. Martín-Fernández, Ricardo A. Olea, Leslie F. Ruppert
Gas emissions, tars, and secondary minerals at the Ruth Mullins and Tiptop coal mine fires Gas emissions, tars, and secondary minerals at the Ruth Mullins and Tiptop coal mine fires
Both the Tiptop and Ruth Mullins coal fires, Kentucky, were reinvestigated in 2009 and 2010. The Tiptop fire was not as active in 2009 and may have been on the path to burning out at the time of the 2009 visit. The Ruth Mullins coal mine fire, Perry County, Kentucky, has been the subject of several field investigations, including November 2009–February 2010 investigations in which we...
Authors
Jennifer M. K. O’Keefe, Erika R. Neace, Maxwell L. Hammond, James C. Hower, Mark A. Engle, Joseph A. East, Nicholas J. Geboy, Ricardo A. Olea, Kevin R. Henke, Gregory C. Copley, Edward W. Lemley, Rachel S. Hatch Nally, Antonia E. Hansen, Allison R. Richardson, Anne B. Satterwhite, Glenn B. Stracher, Larry F. Radke, Charles Smeltzer, Christopher Romanek, Donald R. Blake, Paul A. Schroeder, Stephen D. Emsbo-Mattingly, Scott A. Stout
Advances in sensitivity analysis of uncertainty to changes in sampling density when modeling spatially correlated attributes Advances in sensitivity analysis of uncertainty to changes in sampling density when modeling spatially correlated attributes
A comparative analysis of distance methods, kriging and stochastic simulation is conducted for evaluating their capabilities for predicting fluctuations in uncertainty due to changes in spatially correlated samples. It is concluded that distance methods lack the most basic capabilities to assess reliability despite their wide acceptance. In contrast, kriging and stochastic simulation...
Authors
Ricardo A. Olea
Advancements in hydrochemistry mapping: methods and application to groundwater arsenic and iron concentrations in Varanasi, Uttar Pradesh, India Advancements in hydrochemistry mapping: methods and application to groundwater arsenic and iron concentrations in Varanasi, Uttar Pradesh, India
The area east of Varanasi is one of numerous places along the watershed of the Ganges River with groundwater concentrations of arsenic surpassing the maximum value of 10 parts per billion (ppb) recommended by the World Health Organization in drinking water. Here we apply geostatistics and compositional data analysis for the mapping of arsenic and iron to help in understanding the...
Authors
Ricardo A. Olea, N. Janardhana Raju, Juan J. Egozcue, Vera Pawlowsky-Glahn, Shubhra Singh
Non-USGS Publications**
Buatois, L.A., Mángano, M.G, Olea, R.A., Wilson, M.A., 2016. Decoupled evolution of soft and hard substrate communities during Cambrian Explosion and Great Ordovician Biodiversification Event. Proceedings of the National Academy of Sciences, vol. 113, no. 25, p. 6945−6948 and 28 pp. of Supporting Information.
Schuenemeyer, J. H., Olea, R.A., 2014. Distributional assumptions and parametric uncertainties in the aggregation of geologic resources. In Mathematics of Planet Earth, Proceedings of the 15th Annual Conference of the International Association for Mathematical Geosciences, Pardo-Igúzquiza, E., Guardiola-Albert, C., Heredia, J., Moreno-Merino, L., Durán, J.J., Vargas-Guzmán, J.J., editors, p. 49−52.
Pardo-Igúzquiza, E., Olea, R. A., Dowd, P.A, 2014. Semivariogram model inference using the median bootstrap statistics. In Mathematics of Planet Earth, Proceedings of the 15th Annual Conference of the International Association for Mathematical Geosciences, Pardo-Igúzquiza, E., Guardiola-Albert, C., Heredia, J., Moreno-Merino, L., Durán, J.J., Vargas-Guzmán, J.J., editors, p. 79−82.
Karacan, C. Ö., Olea, R.A., 2014. Coalbed methane production analysis and filter simulation for quantifying gas drainage from coal seams. In Mathematics of Planet Earth, Proceedings of the 15th Annual Conference of the International Association for Mathematical Geosciences, Pardo-Igúzquiza, E., Guardiola-Albert, C., Heredia, J., Moreno-Merino, L., Durán, J.J., Vargas-Guzmán, J.J., editors, p. 549−552.
Olea, R.A., Luppens, J.A., Tewalt, S.J., 2014. Moving away from distance classifications as measures of resource uncertainty. In Mathematics of Planet Earth, Proceedings of the 15th Annual Conference of the International Association for Mathematical Geosciences, Pardo-Igúzquiza, E., Guardiola-Albert, C., Heredia, J., Moreno-Merino, L., Durán, J.J., Vargas-Guzmán, J.J., editors, p. 585−588.
Olea, R.A., Houseknecht, D.W., Garrity, C. P. and Cook, T.A., 2011, Assessment of shale-gas resources using correlated variables and application to the Woodford play, Arkoma basin, southeast Oklahoma: Special issue on New Quantitative Applications of Geomathematics in Earth Sciences of the Geological Survey of Spain Bulletin, Boletín Geológico y Minero, vol. 122, no.4, p. 483–496.
Martín-Fernández, J. A., Palarea-Alabaladejo, J., and Olea, R.A., 2011, Dealing with zeros. In V. Pawlowsky-Glahn and A. Buccianti (eds.), Compositional Data Analysis—Theory and Applications: Wiley & Sons, Ltd, Chichester, UK, p. 43–58.
Martín-Fernández, J. A., Palarea-Alabaladejo, J., and Olea, R.A., 2011, Dealing with zeros. In V. Pawlowsky-Glahn and A. Buccianti (eds.), Compositional Data Analysis—Theory and Applications: Wiley & Sons, Ltd, Chichester, UK, p. 43–58.
Bunnell, J. E., Garcia, L. V., Furst, J. M., Lerch, H., Olea, R. A., Suitt, S. E., and Kolker, A., 2010, Navajo coal combustion and respiratory health near Shiprock, New Mexico. Journal of Environmental and Public Health, vol. 2010, article ID 260525, DOI:10.1155/2010/260525, 14 p.
Olea, R. A., 2009, Crossvalidation of cumulative probabilities for parameter selection in geostatistical estimation and simulation: Proceedings of the 2009 Conference of the International Association for Mathematical Geosciences, http://iamg09.stanford.edu
Martín-Fernández, J. A., Olea, R. A., and Palarea-Albaladejo, J., 2009, Multivariate approach using bootstrapping for the inference of distributional parameters of samples containing compositional values below detection limit. Abstract in Proceedings of the 31st Spanish Congress of Statistics and Operations Research, Murcia, Spain, p. 54, CD-ROM. (ISBN: 978-84-691-8159-1)
Kolker, A , Engle, M. A., Hower, J. C., O’Keefe, J. M. K., Heffern, E. L., Radke, L. F., Prakash, A., ter Schure, A., Román-Colón, Y., and Olea, R., 2009, Measuring CO2 emissions from coal fires in the U.S.: Proceedings, Annual International Coal Conference, Pittsburgh, PA, September, 2009, 7 p.
Olea, R. A., 2008, Basic Statistical Concepts and Methods for Earth Scientists: U.S. Geological Survey, Open-File Report 2008-1017, http://pubs.usgs.gov/of/2008/1017/, 191 p.
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
Filter Total Items: 84
Carbon dioxide enhanced oil recovery and residual oil zone studies at the U.S. Geological Survey Carbon dioxide enhanced oil recovery and residual oil zone studies at the U.S. Geological Survey
The U.S. Geological Survey (USGS) is preparing a national resource assessment of the potential hydrocarbons recoverable after injection of carbon dioxide (CO2) into conventional oil reservoirs in the United States. The implementation of CO2-enhanced oil recovery (CO2-EOR) techniques can increase hydrocarbon production, and lead to incidental retention of CO2 in reservoir pore space...
Authors
Peter D. Warwick, Emil D. Attanasi, Madalyn S. Blondes, Sean T. Brennan, Marc L. Buursink, Colin A. Doolan, Philip A. Freeman, Hossein Jahediesfanjani, C. Ozgen Karacan, Celeste D. Lohr, Matthew D. Merrill, Ricardo A. Olea, Jacqueline N. Roueche, Jenna L. Shelton, Ernie Slucher, Brian A. Varela, Mahendra K. Verma
Self-organizing maps for compositional data: coal combustion products of a Wyoming power plant Self-organizing maps for compositional data: coal combustion products of a Wyoming power plant
A self-organizing map (SOM) is a non-linear projection of a D-dimensional data set, where the distance among observations is approximately preserved on to a lower dimensional space. The SOM arranges multivariate data based on their similarity to each other by allowing pattern recognition leading to easier interpretation of higher dimensional data. The SOM algorithm allows for selection...
Authors
Josep M. Martin-Fernandez, Mark A. Engle, Leslie F. Ruppert, Ricardo A. Olea
Compositional data analysis of coal combustion products with an application to a Wyoming power plant Compositional data analysis of coal combustion products with an application to a Wyoming power plant
A mathematically sound approach for summarizing chemical analyses of feed coal and all its combustion products (bottom ash, economizer fly ash, and fly ash) is presented. The nature of the data requires the application of compositional techniques when conducting statistical analysis, techniques that have not been applied before to the study of partitioning of elements between the coal...
Authors
J. A. Martín-Fernández, Ricardo A. Olea, Leslie F. Ruppert
Gas emissions, tars, and secondary minerals at the Ruth Mullins and Tiptop coal mine fires Gas emissions, tars, and secondary minerals at the Ruth Mullins and Tiptop coal mine fires
Both the Tiptop and Ruth Mullins coal fires, Kentucky, were reinvestigated in 2009 and 2010. The Tiptop fire was not as active in 2009 and may have been on the path to burning out at the time of the 2009 visit. The Ruth Mullins coal mine fire, Perry County, Kentucky, has been the subject of several field investigations, including November 2009–February 2010 investigations in which we...
Authors
Jennifer M. K. O’Keefe, Erika R. Neace, Maxwell L. Hammond, James C. Hower, Mark A. Engle, Joseph A. East, Nicholas J. Geboy, Ricardo A. Olea, Kevin R. Henke, Gregory C. Copley, Edward W. Lemley, Rachel S. Hatch Nally, Antonia E. Hansen, Allison R. Richardson, Anne B. Satterwhite, Glenn B. Stracher, Larry F. Radke, Charles Smeltzer, Christopher Romanek, Donald R. Blake, Paul A. Schroeder, Stephen D. Emsbo-Mattingly, Scott A. Stout
Advances in sensitivity analysis of uncertainty to changes in sampling density when modeling spatially correlated attributes Advances in sensitivity analysis of uncertainty to changes in sampling density when modeling spatially correlated attributes
A comparative analysis of distance methods, kriging and stochastic simulation is conducted for evaluating their capabilities for predicting fluctuations in uncertainty due to changes in spatially correlated samples. It is concluded that distance methods lack the most basic capabilities to assess reliability despite their wide acceptance. In contrast, kriging and stochastic simulation...
Authors
Ricardo A. Olea
Advancements in hydrochemistry mapping: methods and application to groundwater arsenic and iron concentrations in Varanasi, Uttar Pradesh, India Advancements in hydrochemistry mapping: methods and application to groundwater arsenic and iron concentrations in Varanasi, Uttar Pradesh, India
The area east of Varanasi is one of numerous places along the watershed of the Ganges River with groundwater concentrations of arsenic surpassing the maximum value of 10 parts per billion (ppb) recommended by the World Health Organization in drinking water. Here we apply geostatistics and compositional data analysis for the mapping of arsenic and iron to help in understanding the...
Authors
Ricardo A. Olea, N. Janardhana Raju, Juan J. Egozcue, Vera Pawlowsky-Glahn, Shubhra Singh
Non-USGS Publications**
Buatois, L.A., Mángano, M.G, Olea, R.A., Wilson, M.A., 2016. Decoupled evolution of soft and hard substrate communities during Cambrian Explosion and Great Ordovician Biodiversification Event. Proceedings of the National Academy of Sciences, vol. 113, no. 25, p. 6945−6948 and 28 pp. of Supporting Information.
Schuenemeyer, J. H., Olea, R.A., 2014. Distributional assumptions and parametric uncertainties in the aggregation of geologic resources. In Mathematics of Planet Earth, Proceedings of the 15th Annual Conference of the International Association for Mathematical Geosciences, Pardo-Igúzquiza, E., Guardiola-Albert, C., Heredia, J., Moreno-Merino, L., Durán, J.J., Vargas-Guzmán, J.J., editors, p. 49−52.
Pardo-Igúzquiza, E., Olea, R. A., Dowd, P.A, 2014. Semivariogram model inference using the median bootstrap statistics. In Mathematics of Planet Earth, Proceedings of the 15th Annual Conference of the International Association for Mathematical Geosciences, Pardo-Igúzquiza, E., Guardiola-Albert, C., Heredia, J., Moreno-Merino, L., Durán, J.J., Vargas-Guzmán, J.J., editors, p. 79−82.
Karacan, C. Ö., Olea, R.A., 2014. Coalbed methane production analysis and filter simulation for quantifying gas drainage from coal seams. In Mathematics of Planet Earth, Proceedings of the 15th Annual Conference of the International Association for Mathematical Geosciences, Pardo-Igúzquiza, E., Guardiola-Albert, C., Heredia, J., Moreno-Merino, L., Durán, J.J., Vargas-Guzmán, J.J., editors, p. 549−552.
Olea, R.A., Luppens, J.A., Tewalt, S.J., 2014. Moving away from distance classifications as measures of resource uncertainty. In Mathematics of Planet Earth, Proceedings of the 15th Annual Conference of the International Association for Mathematical Geosciences, Pardo-Igúzquiza, E., Guardiola-Albert, C., Heredia, J., Moreno-Merino, L., Durán, J.J., Vargas-Guzmán, J.J., editors, p. 585−588.
Olea, R.A., Houseknecht, D.W., Garrity, C. P. and Cook, T.A., 2011, Assessment of shale-gas resources using correlated variables and application to the Woodford play, Arkoma basin, southeast Oklahoma: Special issue on New Quantitative Applications of Geomathematics in Earth Sciences of the Geological Survey of Spain Bulletin, Boletín Geológico y Minero, vol. 122, no.4, p. 483–496.
Martín-Fernández, J. A., Palarea-Alabaladejo, J., and Olea, R.A., 2011, Dealing with zeros. In V. Pawlowsky-Glahn and A. Buccianti (eds.), Compositional Data Analysis—Theory and Applications: Wiley & Sons, Ltd, Chichester, UK, p. 43–58.
Martín-Fernández, J. A., Palarea-Alabaladejo, J., and Olea, R.A., 2011, Dealing with zeros. In V. Pawlowsky-Glahn and A. Buccianti (eds.), Compositional Data Analysis—Theory and Applications: Wiley & Sons, Ltd, Chichester, UK, p. 43–58.
Bunnell, J. E., Garcia, L. V., Furst, J. M., Lerch, H., Olea, R. A., Suitt, S. E., and Kolker, A., 2010, Navajo coal combustion and respiratory health near Shiprock, New Mexico. Journal of Environmental and Public Health, vol. 2010, article ID 260525, DOI:10.1155/2010/260525, 14 p.
Olea, R. A., 2009, Crossvalidation of cumulative probabilities for parameter selection in geostatistical estimation and simulation: Proceedings of the 2009 Conference of the International Association for Mathematical Geosciences, http://iamg09.stanford.edu
Martín-Fernández, J. A., Olea, R. A., and Palarea-Albaladejo, J., 2009, Multivariate approach using bootstrapping for the inference of distributional parameters of samples containing compositional values below detection limit. Abstract in Proceedings of the 31st Spanish Congress of Statistics and Operations Research, Murcia, Spain, p. 54, CD-ROM. (ISBN: 978-84-691-8159-1)
Kolker, A , Engle, M. A., Hower, J. C., O’Keefe, J. M. K., Heffern, E. L., Radke, L. F., Prakash, A., ter Schure, A., Román-Colón, Y., and Olea, R., 2009, Measuring CO2 emissions from coal fires in the U.S.: Proceedings, Annual International Coal Conference, Pittsburgh, PA, September, 2009, 7 p.
Olea, R. A., 2008, Basic Statistical Concepts and Methods for Earth Scientists: U.S. Geological Survey, Open-File Report 2008-1017, http://pubs.usgs.gov/of/2008/1017/, 191 p.
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
*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