Philip A. Freeman (Former Employee)
Science and Products
Filter Total Items: 14
Input Files and Code for: Machine learning can accurately assign geologic basin to produced water samples using major geochemical parameters Input Files and Code for: Machine learning can accurately assign geologic basin to produced water samples using major geochemical parameters
As more hydrocarbon production from hydraulic fracturing and other methods produce large volumes of water, innovative methods must be explored for treatment and reuse of these waters. However, understanding the general water chemistry of these fluids is essential to providing the best treatment options optimized for each producing area. Machine learning algorithms can often be applied to...
Federal Lands Greenhouse Gas Emissions and Sequestration in the United States: Estimates 2005-14 - Data Release Federal Lands Greenhouse Gas Emissions and Sequestration in the United States: Estimates 2005-14 - Data Release
This dataset includes ten years of emissions and sequestration estimates (2005-2014) in two separate tables, 1) the combustion and extraction of fossil fuels on Federal lands and 2) processes from the ecosystems on those Federal lands. The fossil fuel related estimates include the greenhouse gases carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), and the ecosystems estimates...
Filter Total Items: 78
Reconnaissance survey for potential energy storage and carbon dioxide storage resources of petroleum reservoirs in western Europe Reconnaissance survey for potential energy storage and carbon dioxide storage resources of petroleum reservoirs in western Europe
Energy producers and utilities use oil and gas reservoirs for gas storage to meet peak seasonal demand or to supplement intermittent energy production. These reservoirs are also suitable for the long-term storage of carbon dioxide (CO2), a greenhouse gas. This study reports on a reconnaissance analysis of the potential magnitude of storage resources in 9424 known oil and gas reservoirs...
Authors
Emil D. Attanasi, Philip A. Freeman
Visualization of petroleum exploration maturity for six petroleum provinces outside the United States and Canada Visualization of petroleum exploration maturity for six petroleum provinces outside the United States and Canada
Outside the United States and Canada, most of the world’s supplies of oil and natural gas are recovered from conventional (or discrete) oil and gas accumulations. This type of hydrocarbon accumulation remains a target for exploration. In this report, exploration and discovery data are used to visually assist in describing the exploration maturity of selected petroleum provinces with...
Authors
Emil D. Attanasi, Philip A. Freeman
Geologic energy storage Geologic energy storage
Introduction As the United States transitions away from fossil fuels, its economy will rely on more renewable energy. Because current renewable energy sources sometimes produce variable power supplies, it is important to store energy for use when power supply drops below power demand. Battery storage is one method to store power. However, geologic (underground) energy storage may be able...
Authors
Marc L. Buursink, Steven T. Anderson, Sean T. Brennan, Erick R. Burns, Philip A. Freeman, Joao S. Gallotti, Celeste D. Lohr, Matthew D. Merrill, Eric A. Morrissey, Michelle R. Plampin, Peter D. Warwick
Analysis of the United States documented unplugged orphaned oil and gas well dataset Analysis of the United States documented unplugged orphaned oil and gas well dataset
In coordination with the U.S. Department of the Interior (DOI) and in response to the Bipartisan Infrastructure Law (BIL), the U.S. Geological Survey (USGS) produced a documented unplugged orphaned oil and gas well dataset (called the DOW dataset hereafter) that contains the location and status of these wells nationwide as of 2022. The DOW dataset includes 117,672 wells across 27 states...
Authors
Matthew D. Merrill, Claire A. Grove, Nicholas J. Gianoutsos, Philip A. Freeman
Assessment of carbon dioxide enhanced oil recovery and associated carbon dioxide retention resources of the United States Assessment of carbon dioxide enhanced oil recovery and associated carbon dioxide retention resources of the United States
In 2020, the U.S. Geological Survey (USGS) completed a probabilistic assessment of the volume of technically recoverable oil resources that could be produced using current carbon dioxide enhanced oil recovery (CO2-EOR) technologies in amenable conventional oil reservoirs underlying onshore and State-owned offshore waters (herein after, onshore and State waters areas) of the conterminous...
Authors
Peter D. Warwick, Emil Attanasi, Madalyn S. Blondes, Sean T. Brennan, Marc L. Buursink, Steven M. Cahan, Colin A. Doolan, Philip A. Freeman, C. Ozgen Karacan, Celeste D. Lohr, Matthew D. Merrill, Ricardo A. Olea, Jenna L. Shelton, Ernie R. Slucher, Brian A. Varela
National assessment of carbon dioxide enhanced oil recovery and associated carbon dioxide retention resources — Summary National assessment of carbon dioxide enhanced oil recovery and associated carbon dioxide retention resources — Summary
Introduction In 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...
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. Ozgen Karacan, Celeste D. Lohr, Matthew D. Merrill, Ricardo A. Olea, Jenna L. Shelton, Ernie R. Slucher, Brian A. Varela
National assessment of carbon dioxide enhanced oil recovery and associated carbon dioxide retention resources — Results 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...
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. Ozgen Karacan, Celeste D. Lohr, Matthew D. Merrill, Ricardo A. Olea, Jenna L. Shelton, Ernie R. Slucher, Brian A. Varela
Decision analysis and CO2–Enhanced oil recovery development strategies Decision analysis and CO2–Enhanced oil recovery development strategies
This paper analyzes the relationship between actual reservoir conditions and predicted measures of performance of carbon dioxide enhanced oil recovery (CO2–EOR) programs. It then shows how CO2–EOR operators might maximize the value of their projects by approaching implementation using a “flexible selective” pattern development strategy, where the CO2–EOR program patterns are selectively...
Authors
Emil Attanasi, Philip A. Freeman
Machine learning can assign geologic basin to produced water samples using major ion geochemistry Machine learning can assign geologic basin to produced water samples using major ion geochemistry
Understanding the geochemistry of waters produced during petroleum extraction is essential to informing the best treatment and reuse options, which can potentially be optimized for a given geologic basin. Here, we used the US Geological Survey’s National Produced Waters Geochemical Database (PWGD) to determine if major ion chemistry could be used to classify accurately a produced water...
Authors
Jenna L. Shelton, Aaron M. Jubb, Samuel Saxe, Emil D. Attanasi, Alexei Milkov, Mark A Engle, Philip A. Freeman, Christopher Shaffer, Madalyn S. Blondes
Comparison of machine learning approaches used to identify the drivers of Bakken oil well productivity Comparison of machine learning approaches used to identify the drivers of Bakken oil well productivity
Geologists and petroleum engineers have struggled to identify the mechanisms that drive productivity in horizontal hydraulically fractured oil wells. The machine learning algorithms of Random Forest (RF), gradient boosting trees (GBT) and extreme gradient boosting (XGBoost) were applied to a dataset containing 7311 horizontal hydraulically fractured wells drilled into the middle member...
Authors
Emil D. Attanasi, Philip A. Freeman, Timothy Coburn
Well predictive performance of play-wide and Subarea Random Forest models for Bakken productivity Well predictive performance of play-wide and Subarea Random Forest models for Bakken productivity
In recent years, geologists and petroleum engineers have struggled to clearly identify the mechanisms that drive productivity in horizontal, hydraulically-fractured oil wells producing from the middle member of the Bakken formation. This paper fills a gap in the literature by showing how this play’s heterogeneity affects factors that drive well productivity. It is important because...
Authors
Emil D. Attanasi, Philip A. Freeman, Tim Coburn
Methodology for estimating the prospective CO2 storage resource of residual oil zones at the national and regional scale Methodology for estimating the prospective CO2 storage resource of residual oil zones at the national and regional scale
Residual oil zones (ROZs) are increasingly gaining interest as potential reservoirs for carbon dioxide (CO2) storage. Here, we present a national- and regional-scale methodology for estimating prospective CO2 storage resources in residual oil zones. This methodology uses a volumetric equation that accounts for CO2 storage as a free phase in pore space and as a dissolved phase in oil and...
Authors
Sean Sanguinito, Harpreet Singh, Evgeniy M. Myshakin, Angela L. Goodman, Robert M. Dilmore, Timothy C. Grant, David Morgan, Grant Bromhal, Peter D. Warwick, Sean T. Brennan, Philip A. Freeman, C. Ozgen Karacan, Charles Gorecki, Wesley Peck, Matthew Burton-Kelly, Neil Dotzenrod, Scott Frailey, Rajesh Pawar
Science and Products
Filter Total Items: 14
Input Files and Code for: Machine learning can accurately assign geologic basin to produced water samples using major geochemical parameters Input Files and Code for: Machine learning can accurately assign geologic basin to produced water samples using major geochemical parameters
As more hydrocarbon production from hydraulic fracturing and other methods produce large volumes of water, innovative methods must be explored for treatment and reuse of these waters. However, understanding the general water chemistry of these fluids is essential to providing the best treatment options optimized for each producing area. Machine learning algorithms can often be applied to...
Federal Lands Greenhouse Gas Emissions and Sequestration in the United States: Estimates 2005-14 - Data Release Federal Lands Greenhouse Gas Emissions and Sequestration in the United States: Estimates 2005-14 - Data Release
This dataset includes ten years of emissions and sequestration estimates (2005-2014) in two separate tables, 1) the combustion and extraction of fossil fuels on Federal lands and 2) processes from the ecosystems on those Federal lands. The fossil fuel related estimates include the greenhouse gases carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), and the ecosystems estimates...
Filter Total Items: 78
Reconnaissance survey for potential energy storage and carbon dioxide storage resources of petroleum reservoirs in western Europe Reconnaissance survey for potential energy storage and carbon dioxide storage resources of petroleum reservoirs in western Europe
Energy producers and utilities use oil and gas reservoirs for gas storage to meet peak seasonal demand or to supplement intermittent energy production. These reservoirs are also suitable for the long-term storage of carbon dioxide (CO2), a greenhouse gas. This study reports on a reconnaissance analysis of the potential magnitude of storage resources in 9424 known oil and gas reservoirs...
Authors
Emil D. Attanasi, Philip A. Freeman
Visualization of petroleum exploration maturity for six petroleum provinces outside the United States and Canada Visualization of petroleum exploration maturity for six petroleum provinces outside the United States and Canada
Outside the United States and Canada, most of the world’s supplies of oil and natural gas are recovered from conventional (or discrete) oil and gas accumulations. This type of hydrocarbon accumulation remains a target for exploration. In this report, exploration and discovery data are used to visually assist in describing the exploration maturity of selected petroleum provinces with...
Authors
Emil D. Attanasi, Philip A. Freeman
Geologic energy storage Geologic energy storage
Introduction As the United States transitions away from fossil fuels, its economy will rely on more renewable energy. Because current renewable energy sources sometimes produce variable power supplies, it is important to store energy for use when power supply drops below power demand. Battery storage is one method to store power. However, geologic (underground) energy storage may be able...
Authors
Marc L. Buursink, Steven T. Anderson, Sean T. Brennan, Erick R. Burns, Philip A. Freeman, Joao S. Gallotti, Celeste D. Lohr, Matthew D. Merrill, Eric A. Morrissey, Michelle R. Plampin, Peter D. Warwick
Analysis of the United States documented unplugged orphaned oil and gas well dataset Analysis of the United States documented unplugged orphaned oil and gas well dataset
In coordination with the U.S. Department of the Interior (DOI) and in response to the Bipartisan Infrastructure Law (BIL), the U.S. Geological Survey (USGS) produced a documented unplugged orphaned oil and gas well dataset (called the DOW dataset hereafter) that contains the location and status of these wells nationwide as of 2022. The DOW dataset includes 117,672 wells across 27 states...
Authors
Matthew D. Merrill, Claire A. Grove, Nicholas J. Gianoutsos, Philip A. Freeman
Assessment of carbon dioxide enhanced oil recovery and associated carbon dioxide retention resources of the United States Assessment of carbon dioxide enhanced oil recovery and associated carbon dioxide retention resources of the United States
In 2020, the U.S. Geological Survey (USGS) completed a probabilistic assessment of the volume of technically recoverable oil resources that could be produced using current carbon dioxide enhanced oil recovery (CO2-EOR) technologies in amenable conventional oil reservoirs underlying onshore and State-owned offshore waters (herein after, onshore and State waters areas) of the conterminous...
Authors
Peter D. Warwick, Emil Attanasi, Madalyn S. Blondes, Sean T. Brennan, Marc L. Buursink, Steven M. Cahan, Colin A. Doolan, Philip A. Freeman, C. Ozgen Karacan, Celeste D. Lohr, Matthew D. Merrill, Ricardo A. Olea, Jenna L. Shelton, Ernie R. Slucher, Brian A. Varela
National assessment of carbon dioxide enhanced oil recovery and associated carbon dioxide retention resources — Summary National assessment of carbon dioxide enhanced oil recovery and associated carbon dioxide retention resources — Summary
Introduction In 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...
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. Ozgen Karacan, Celeste D. Lohr, Matthew D. Merrill, Ricardo A. Olea, Jenna L. Shelton, Ernie R. Slucher, Brian A. Varela
National assessment of carbon dioxide enhanced oil recovery and associated carbon dioxide retention resources — Results 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...
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. Ozgen Karacan, Celeste D. Lohr, Matthew D. Merrill, Ricardo A. Olea, Jenna L. Shelton, Ernie R. Slucher, Brian A. Varela
Decision analysis and CO2–Enhanced oil recovery development strategies Decision analysis and CO2–Enhanced oil recovery development strategies
This paper analyzes the relationship between actual reservoir conditions and predicted measures of performance of carbon dioxide enhanced oil recovery (CO2–EOR) programs. It then shows how CO2–EOR operators might maximize the value of their projects by approaching implementation using a “flexible selective” pattern development strategy, where the CO2–EOR program patterns are selectively...
Authors
Emil Attanasi, Philip A. Freeman
Machine learning can assign geologic basin to produced water samples using major ion geochemistry Machine learning can assign geologic basin to produced water samples using major ion geochemistry
Understanding the geochemistry of waters produced during petroleum extraction is essential to informing the best treatment and reuse options, which can potentially be optimized for a given geologic basin. Here, we used the US Geological Survey’s National Produced Waters Geochemical Database (PWGD) to determine if major ion chemistry could be used to classify accurately a produced water...
Authors
Jenna L. Shelton, Aaron M. Jubb, Samuel Saxe, Emil D. Attanasi, Alexei Milkov, Mark A Engle, Philip A. Freeman, Christopher Shaffer, Madalyn S. Blondes
Comparison of machine learning approaches used to identify the drivers of Bakken oil well productivity Comparison of machine learning approaches used to identify the drivers of Bakken oil well productivity
Geologists and petroleum engineers have struggled to identify the mechanisms that drive productivity in horizontal hydraulically fractured oil wells. The machine learning algorithms of Random Forest (RF), gradient boosting trees (GBT) and extreme gradient boosting (XGBoost) were applied to a dataset containing 7311 horizontal hydraulically fractured wells drilled into the middle member...
Authors
Emil D. Attanasi, Philip A. Freeman, Timothy Coburn
Well predictive performance of play-wide and Subarea Random Forest models for Bakken productivity Well predictive performance of play-wide and Subarea Random Forest models for Bakken productivity
In recent years, geologists and petroleum engineers have struggled to clearly identify the mechanisms that drive productivity in horizontal, hydraulically-fractured oil wells producing from the middle member of the Bakken formation. This paper fills a gap in the literature by showing how this play’s heterogeneity affects factors that drive well productivity. It is important because...
Authors
Emil D. Attanasi, Philip A. Freeman, Tim Coburn
Methodology for estimating the prospective CO2 storage resource of residual oil zones at the national and regional scale Methodology for estimating the prospective CO2 storage resource of residual oil zones at the national and regional scale
Residual oil zones (ROZs) are increasingly gaining interest as potential reservoirs for carbon dioxide (CO2) storage. Here, we present a national- and regional-scale methodology for estimating prospective CO2 storage resources in residual oil zones. This methodology uses a volumetric equation that accounts for CO2 storage as a free phase in pore space and as a dissolved phase in oil and...
Authors
Sean Sanguinito, Harpreet Singh, Evgeniy M. Myshakin, Angela L. Goodman, Robert M. Dilmore, Timothy C. Grant, David Morgan, Grant Bromhal, Peter D. Warwick, Sean T. Brennan, Philip A. Freeman, C. Ozgen Karacan, Charles Gorecki, Wesley Peck, Matthew Burton-Kelly, Neil Dotzenrod, Scott Frailey, Rajesh Pawar