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Cevat O. Karacan, Ph.D.

Dr. C. Özgen Karacan is a Research Petroleum Engineer with the USGS Geology, Energy & Minerals (GEM) Science Center in Reston, VA.

Dr. Karacan conducts research related to CO2-EOR, CO2 sequestration, reservoir engineering of petroleum system, and coal mine and abandoned mine methane emissions and resources. Before joining the USGS in 2017, Dr. Karacan worked for the National Institute for Occupational Safety and Health’s (NIOSH) Pittsburgh Mining Research Division for 13 years, where he managed research projects related to ventilation, and sources of gob gas and its control in coal mines.

Dr. Karacan has served as one of the Editors of International Journal of Coal Geology (2009-2021), and the Editor of Results in Geophysical Sciences (2020-2022). He is a Bureau member and vice chair of the United Nations Economic Commission for Europe’s (UNECE) Group of Experts on Coal Mine Methane and Just Transition, and a U.S. delegate for Global Methane Initiative’s (GMI) Coal Mines Subcommittee. He holds associate professor of petroleum engineering accreditation in Turkey and adjunct professor positions at China University of Geosciences (Wuhan and Beijing). Dr. Karacan was awarded NIOSH Alice Hamilton Awards in 2013 and 2016.

Dr. Karacan received his B.S., M.S., and Ph.D. degrees in petroleum and natural gas engineering from Middle East Technical University, in Ankara, Turkey and worked for the Pennsylvania State University between 1998 and 2003 as a research associate.

Professional Experience

  • 2017-present: USGS, Geology, Energy & Minerals Science Center, Reston VA 

  • 2003-2017: CDC/NIOSH, Pittsburgh Mining Research Division, Pittsburgh PA 

  • 1998-2003: The Pennsylvania State University, University Park PA

  • 1991-1998: Middle East Technical University, Ankara, Turkey

Education and Certifications

  • Ph.D. Petroleum and Natural Gas Engineering, Middle East Technical University, Ankara, Turkey, 1998

  • M.S. Petroleum and Natural Gas Engineering, Middle East Technical University, Ankara, Turkey, 1993

  • B.S. Petroleum and Natural Gas Engineering, Middle East Technical University, Ankara, Turkey, 1991

Science and Products

link
Abandoned Mines Assessing Emissions Task 1 Representation Thumb

Assessing Emissions from Active and Abandoned Coal Mines

The gas emission zone liberates and accumulates significant amounts of coal mine methane as a by-product of active mining. In most active mines, coal mine methane is controlled by wellbores, called gob gas ventholes. Despite the presence of these wellbores, it is not possible to capture all of the methane generated within the gas emission zone. As a consequence, a large amount of gas migrates into...
By
Energy Resources Program, Geology, Energy & Minerals Science Center
link

Assessing Emissions from Active and Abandoned Coal Mines

The gas emission zone liberates and accumulates significant amounts of coal mine methane as a by-product of active mining. In most active mines, coal mine methane is controlled by wellbores, called gob gas ventholes. Despite the presence of these wellbores, it is not possible to capture all of the methane generated within the gas emission zone. As a consequence, a large amount of gas migrates into...
Learn More

National assessment of carbon dioxide enhanced oil recovery and associated carbon dioxide retention resources - data release

In 2020, the U.S. Geological Survey (USGS) completed a probabilistic assessment of the volume of technically recoverable oil resources available if current carbon dioxide enhanced oil recovery (CO2-EOR) technologies were applied in amenable oil reservoirs underlying the onshore and State waters area of the conterminous United States. The assessment also includes estimates of the magnitude of CO2 s
By
Energy Resources Program, Geology, Energy & Minerals Science Center

Results from surveys to academic and industry and government geoscientists on the future of coal geoscientists

At recent technical conferences, many coal geoscientists in academia and government institutions as well as in industry organizations have expressed concern about the dwindling number of students and young staff members interested in careers in coal geoscience. To better understand what is driving these trends and to identify potential ways that the community can increase interest and participatio
By
Energy Resources Program, Geology, Energy & Minerals Science Center
No results found.
Filter Total Items: 32

Mitigating climate change by abating coal mine methane: A critical review of status and opportunities

Methane has a short atmospheric lifetime compared to carbon dioxide (CO2), ∼decade versus ∼centuries, but it has a much higher global warming potential (GWP), highlighting how reducing methane emissions can slow the rate of climate change. When considering the contribution of greenhouse gas (GHG) emissions to current global warming (2010–2019) relative to the industrial revolution (1850–1900) leve
Authors
C. Özgen Karacan, Robert A. Field, Maria Olczak, Malgorzata Kasprzak, Felicia Ruiz, Stefan Schwietzke
By
Energy Resources Program, Geology, Energy & Minerals Science Center

Exploring the uncertainty of machine learning models and geostatistical mapping of rare earth element potential in Indiana coals, USA

Rare earth elements and yttrium (REEs) have a wide range of applications in high- and low-carbon technologies. The strategic significance of REEs has grown due to their expanding applications in manufacturing industries and the constrained availability of these essential resources. This research explores the applicability of machine learning models and their uncertainty for assessing the REE poten

Authors
Snehamoy Chatterjee, C. Özgen Karacan, Maria Mastalerz
By
Energy Resources Program, Geology, Energy & Minerals Science Center

Geologic carbon management options for the North Atlantic-Appalachian Region

IntroductionThe U.S. Geological Survey (USGS) North Atlantic-Appalachian Region is developing the regionwide capacity to provide timely science support for decision-makers attempting to enhance carbon removal, sequestration, and emissions mitigation to meet national atmospheric carbon reduction goals. The U.S. Environmental Protection Agency (EPA) reported that in 2021, the fourteen States and the
Authors
Peter D. Warwick, Madalyn S. Blondes, Sean T. Brennan, Steven M. Cahan, C. Özgen Karacan, Kevin D. Kroeger, Matthew D. Merrill
By
Energy Resources Program, Geology, Energy & Minerals Science Center, Woods Hole Coastal and Marine Science Center

A residual oil zone (ROZ) assessment methodology with application to the central basin platform (Permian Basin, USA) for enhanced oil recovery (EOR) and long-term geologic CO2 storage

Residual oil zones (ROZ) form due to various geologic conditions and are located below the oil/water contact (OWC) of main pay zones (MPZ). Since ROZs usually contain immobile oil, they have not typically been considered commercially attractive for development by conventional primary recovery methods used in the initial phases of oil production. However, during the last decade some operators of th
Authors
C. Özgen Karacan, Sean T. Brennan, Marc Buursink, Philip A. Freeman, Celeste D. Lohr, Matthew D. Merrill, Ricardo A. Olea, Peter D. Warwick
By
Energy Resources Program, Geology, Energy & Minerals Science Center

Merging machine learning and geostatistical approaches for spatial modeling of geoenergy resources

Geostatistics is the most commonly used probabilistic approach for modeling earth systems, including quality parameters of various geoenergy resources. In geostatistics, estimates, either on a point or block support, are generated as a spatially-weighted average of surrounding samples. The optimal weights are determined through the stationary variogram model which accounts for the spatial structur
Authors
Gamze Erdogan Erten, Oktay Erten, C. Özgen Karacan, Jeff Boisvert, Clayton V. Deutsch
By
Energy Resources Program, Geology, Energy & Minerals Science Center

Predicting methane emissions and developing reduction strategies for a Central Appalachian Basin, USA, longwall mine through analysis and modeling of geology and degasification system performance

Coal mine methane is a safety concern in active mines due to explosion risk and an environmental concern due to the greenhouse gas (GHG) properties of methane emissions to the atmosphere. Depending on the mine design and operation, structural and stratigraphic characteristics of the geology, and the properties of coal beds affected by mining, a significant amount of methane can be released during
Authors
C. Özgen Karacan
By
Energy Resources Program, Geology, Energy & Minerals Science Center

Assessment of resource potential from mine tailings using geostatistical modeling for compositions: A methodology and application to Katherine Mine site, Arizona, USA

The mining industry, in most cases, targets a specific valuable commodity that is present in small quantities within large volumes of extracted material. After milling and processing, most of the extracted material and the effluents are stored as waste (tailings) in impoundments, such as dams or waste dumps, or are backfilled into underground mines. In time, tailing materials may become an issue o
Authors
C. Özgen Karacan, Oktay Erten, Josep Antoni Martín-Fernández
By
Energy Resources Program, Geology, Energy & Minerals Science Center

Machine learning and data augmentation approach for identification of rare earth element potential in Indiana Coals, USA

Rare earth elements and yttrium (REYs) are critical elements and valuable commodities due to their limited availability and high demand in a wide range of applications and especially in high-technology products. The increased demand and geopolitical pressures motivate the search for alternative sources of REYs, and coal, coal waste, and coal ash are considered as new sources for these critical ele
Authors
Snahamoy Chatterjee, Maria Mastalerz, Agnieszka Drobniak, C. Özgen Karacan
By
Energy Resources Program, Mineral Resources Program, Geology, Energy & Minerals Science Center

National assessment of carbon dioxide enhanced oil recovery and associated carbon dioxide retention resources — Summary

IntroductionIn 2020, the U.S. Geological Survey (USGS) completed a probabilistic assessment of the volume of technically recoverable oil resources that might be produced by using current carbon dioxide enhanced oil recovery (CO2-EOR) technologies in amenable conventional oil reservoirs underlying the onshore and State waters areas of the conterminous United States. The assessment also includes est
Authors
Peter D. Warwick, Emil D. Attanasi, Madalyn S. Blondes, Sean T. Brennan, Marc L. Buursink, Steven M. Cahan, Colin A. Doolan, Philip A. Freeman, C. Özgen Karacan, Celeste D. Lohr, Matthew D. Merrill, Ricardo A. Olea, Jenna L. Shelton, Ernie R. Slucher, Brian A. Varela
By
Energy Resources Program, Geology, Energy & Minerals Science Center

National assessment of carbon dioxide enhanced oil recovery and associated carbon dioxide retention resources — Results

In 2020, the U.S. Geological Survey (USGS) completed a probabilistic assessment of the volume of technically recoverable oil resources available if current carbon dioxide enhanced oil recovery (CO2-EOR) technologies were applied to amenable oil reservoirs underlying the onshore and State waters areas of the conterminous United States. The assessment also includes estimates of the mass of CO2 that
Authors
Peter D. Warwick, Emil D. Attanasi, Madalyn S. Blondes, Sean T. Brennan, Marc L. Buursink, Steven M. Cahan, Colin A. Doolan, Philip A. Freeman, C. Özgen Karacan, Celeste D. Lohr, Matthew D. Merrill, Ricardo A. Olea, Jenna L. Shelton, Ernie R. Slucher, Brian A. Varela
By
Energy Resources Program, Geology, Energy & Minerals Science Center

Multilayer perceptrons (MLPs)

Artificial neural networks (ANNs) are adaptable systems that can solve problems that are difficult to describe with a mathematical relationship. They seek relationships between different types of datasets with their abilities to learn either with supervision or without. ANNs recognize patterns between input and output space and generalize solutions, in a way simulating the human brain’s learning e
Authors
C. Özgen Karacan
By
Energy Resources Program, Geology, Energy & Minerals Science Center

Realizations

In statistics, a realization is an observed value of a random variable (Gubner 2006). In mathematical geology, the most important realizations are those in the form of maps of spatially correlated regionalized variables.Spatial description of random variables within complex domains and making certain decisions about those require complete knowledge of the attribute of interest at each point in spa
Authors
C. Özgen Karacan
By
Energy Resources Program, Geology, Energy & Minerals Science Center

Science and Products

link
Abandoned Mines Assessing Emissions Task 1 Representation Thumb

Assessing Emissions from Active and Abandoned Coal Mines

The gas emission zone liberates and accumulates significant amounts of coal mine methane as a by-product of active mining. In most active mines, coal mine methane is controlled by wellbores, called gob gas ventholes. Despite the presence of these wellbores, it is not possible to capture all of the methane generated within the gas emission zone. As a consequence, a large amount of gas migrates into...
By
Energy Resources Program, Geology, Energy & Minerals Science Center
link

Assessing Emissions from Active and Abandoned Coal Mines

The gas emission zone liberates and accumulates significant amounts of coal mine methane as a by-product of active mining. In most active mines, coal mine methane is controlled by wellbores, called gob gas ventholes. Despite the presence of these wellbores, it is not possible to capture all of the methane generated within the gas emission zone. As a consequence, a large amount of gas migrates into...
Learn More

National assessment of carbon dioxide enhanced oil recovery and associated carbon dioxide retention resources - data release

In 2020, the U.S. Geological Survey (USGS) completed a probabilistic assessment of the volume of technically recoverable oil resources available if current carbon dioxide enhanced oil recovery (CO2-EOR) technologies were applied in amenable oil reservoirs underlying the onshore and State waters area of the conterminous United States. The assessment also includes estimates of the magnitude of CO2 s
By
Energy Resources Program, Geology, Energy & Minerals Science Center

Results from surveys to academic and industry and government geoscientists on the future of coal geoscientists

At recent technical conferences, many coal geoscientists in academia and government institutions as well as in industry organizations have expressed concern about the dwindling number of students and young staff members interested in careers in coal geoscience. To better understand what is driving these trends and to identify potential ways that the community can increase interest and participatio
By
Energy Resources Program, Geology, Energy & Minerals Science Center
No results found.
Filter Total Items: 32

Mitigating climate change by abating coal mine methane: A critical review of status and opportunities

Methane has a short atmospheric lifetime compared to carbon dioxide (CO2), ∼decade versus ∼centuries, but it has a much higher global warming potential (GWP), highlighting how reducing methane emissions can slow the rate of climate change. When considering the contribution of greenhouse gas (GHG) emissions to current global warming (2010–2019) relative to the industrial revolution (1850–1900) leve
Authors
C. Özgen Karacan, Robert A. Field, Maria Olczak, Malgorzata Kasprzak, Felicia Ruiz, Stefan Schwietzke
By
Energy Resources Program, Geology, Energy & Minerals Science Center

Exploring the uncertainty of machine learning models and geostatistical mapping of rare earth element potential in Indiana coals, USA

Rare earth elements and yttrium (REEs) have a wide range of applications in high- and low-carbon technologies. The strategic significance of REEs has grown due to their expanding applications in manufacturing industries and the constrained availability of these essential resources. This research explores the applicability of machine learning models and their uncertainty for assessing the REE poten

Authors
Snehamoy Chatterjee, C. Özgen Karacan, Maria Mastalerz
By
Energy Resources Program, Geology, Energy & Minerals Science Center

Geologic carbon management options for the North Atlantic-Appalachian Region

IntroductionThe U.S. Geological Survey (USGS) North Atlantic-Appalachian Region is developing the regionwide capacity to provide timely science support for decision-makers attempting to enhance carbon removal, sequestration, and emissions mitigation to meet national atmospheric carbon reduction goals. The U.S. Environmental Protection Agency (EPA) reported that in 2021, the fourteen States and the
Authors
Peter D. Warwick, Madalyn S. Blondes, Sean T. Brennan, Steven M. Cahan, C. Özgen Karacan, Kevin D. Kroeger, Matthew D. Merrill
By
Energy Resources Program, Geology, Energy & Minerals Science Center, Woods Hole Coastal and Marine Science Center

A residual oil zone (ROZ) assessment methodology with application to the central basin platform (Permian Basin, USA) for enhanced oil recovery (EOR) and long-term geologic CO2 storage

Residual oil zones (ROZ) form due to various geologic conditions and are located below the oil/water contact (OWC) of main pay zones (MPZ). Since ROZs usually contain immobile oil, they have not typically been considered commercially attractive for development by conventional primary recovery methods used in the initial phases of oil production. However, during the last decade some operators of th
Authors
C. Özgen Karacan, Sean T. Brennan, Marc Buursink, Philip A. Freeman, Celeste D. Lohr, Matthew D. Merrill, Ricardo A. Olea, Peter D. Warwick
By
Energy Resources Program, Geology, Energy & Minerals Science Center

Merging machine learning and geostatistical approaches for spatial modeling of geoenergy resources

Geostatistics is the most commonly used probabilistic approach for modeling earth systems, including quality parameters of various geoenergy resources. In geostatistics, estimates, either on a point or block support, are generated as a spatially-weighted average of surrounding samples. The optimal weights are determined through the stationary variogram model which accounts for the spatial structur
Authors
Gamze Erdogan Erten, Oktay Erten, C. Özgen Karacan, Jeff Boisvert, Clayton V. Deutsch
By
Energy Resources Program, Geology, Energy & Minerals Science Center

Predicting methane emissions and developing reduction strategies for a Central Appalachian Basin, USA, longwall mine through analysis and modeling of geology and degasification system performance

Coal mine methane is a safety concern in active mines due to explosion risk and an environmental concern due to the greenhouse gas (GHG) properties of methane emissions to the atmosphere. Depending on the mine design and operation, structural and stratigraphic characteristics of the geology, and the properties of coal beds affected by mining, a significant amount of methane can be released during
Authors
C. Özgen Karacan
By
Energy Resources Program, Geology, Energy & Minerals Science Center

Assessment of resource potential from mine tailings using geostatistical modeling for compositions: A methodology and application to Katherine Mine site, Arizona, USA

The mining industry, in most cases, targets a specific valuable commodity that is present in small quantities within large volumes of extracted material. After milling and processing, most of the extracted material and the effluents are stored as waste (tailings) in impoundments, such as dams or waste dumps, or are backfilled into underground mines. In time, tailing materials may become an issue o
Authors
C. Özgen Karacan, Oktay Erten, Josep Antoni Martín-Fernández
By
Energy Resources Program, Geology, Energy & Minerals Science Center

Machine learning and data augmentation approach for identification of rare earth element potential in Indiana Coals, USA

Rare earth elements and yttrium (REYs) are critical elements and valuable commodities due to their limited availability and high demand in a wide range of applications and especially in high-technology products. The increased demand and geopolitical pressures motivate the search for alternative sources of REYs, and coal, coal waste, and coal ash are considered as new sources for these critical ele
Authors
Snahamoy Chatterjee, Maria Mastalerz, Agnieszka Drobniak, C. Özgen Karacan
By
Energy Resources Program, Mineral Resources Program, Geology, Energy & Minerals Science Center

National assessment of carbon dioxide enhanced oil recovery and associated carbon dioxide retention resources — Summary

IntroductionIn 2020, the U.S. Geological Survey (USGS) completed a probabilistic assessment of the volume of technically recoverable oil resources that might be produced by using current carbon dioxide enhanced oil recovery (CO2-EOR) technologies in amenable conventional oil reservoirs underlying the onshore and State waters areas of the conterminous United States. The assessment also includes est
Authors
Peter D. Warwick, Emil D. Attanasi, Madalyn S. Blondes, Sean T. Brennan, Marc L. Buursink, Steven M. Cahan, Colin A. Doolan, Philip A. Freeman, C. Özgen Karacan, Celeste D. Lohr, Matthew D. Merrill, Ricardo A. Olea, Jenna L. Shelton, Ernie R. Slucher, Brian A. Varela
By
Energy Resources Program, Geology, Energy & Minerals Science Center

National assessment of carbon dioxide enhanced oil recovery and associated carbon dioxide retention resources — Results

In 2020, the U.S. Geological Survey (USGS) completed a probabilistic assessment of the volume of technically recoverable oil resources available if current carbon dioxide enhanced oil recovery (CO2-EOR) technologies were applied to amenable oil reservoirs underlying the onshore and State waters areas of the conterminous United States. The assessment also includes estimates of the mass of CO2 that
Authors
Peter D. Warwick, Emil D. Attanasi, Madalyn S. Blondes, Sean T. Brennan, Marc L. Buursink, Steven M. Cahan, Colin A. Doolan, Philip A. Freeman, C. Özgen Karacan, Celeste D. Lohr, Matthew D. Merrill, Ricardo A. Olea, Jenna L. Shelton, Ernie R. Slucher, Brian A. Varela
By
Energy Resources Program, Geology, Energy & Minerals Science Center

Multilayer perceptrons (MLPs)

Artificial neural networks (ANNs) are adaptable systems that can solve problems that are difficult to describe with a mathematical relationship. They seek relationships between different types of datasets with their abilities to learn either with supervision or without. ANNs recognize patterns between input and output space and generalize solutions, in a way simulating the human brain’s learning e
Authors
C. Özgen Karacan
By
Energy Resources Program, Geology, Energy & Minerals Science Center

Realizations

In statistics, a realization is an observed value of a random variable (Gubner 2006). In mathematical geology, the most important realizations are those in the form of maps of spatially correlated regionalized variables.Spatial description of random variables within complex domains and making certain decisions about those require complete knowledge of the attribute of interest at each point in spa
Authors
C. Özgen Karacan
By
Energy Resources Program, Geology, Energy & Minerals Science Center
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