The AGGER project seeks to advance the understanding of factors that indicate and control the sources, generation, composition, stimulation, accumulation, movement, and production potential of petroleum, nuclear fuel resources (e.g., uranium and thorium), and their byproducts as well as the potential for resource recovery from wastes generated during extraction.
The purpose of the AGGER project work is to better understand the generation of energy resources (from source rocks to natural gas-generating microorganisms), the conditions best fit for energy generation (such as the geochemical structure of source rocks), the substrates and microorganisms involved in energy generation, and the potential stimulation of energy resources. Additionally, project staff work to better utilize field and analytical methods to characterize materials involved in the generation of energy and to identify energy production wastes that can be used as economic resources. The AGGER project is currently divided into the 7 research tasks and 3 funded research laboratories detailed below:
- Controls on microbial methanogenesis in shale deposits and strategies for enhancement - Task leads: Elliott Barnhart and Matthew Varonka
- Structure and composition of energy materials - Task lead: Aaron Jubb
- Uranium and thorium in NORM products, byproducts and wastes from energy resource life cycles - Task leads: Bonnie McDevitt and Glenn Jolly
- Spectroscopic investigations of energy materials - Task lead: Aaron Jubb
- Remote sensing techniques to quantify energy resources in wastes at abandoned mines - Task lead: Bernard Hubbard
- Waste as a resource - Task leads: Robert Seal and Matthew Varonka
- Scoping innovative approaches in advanced in-situ and field measurements - Task lead: Aaron Jubb
The following 3 laboratories are associated with the AGGER project:
-
Raman Spectroscopy Laboratory (RSL)
-
Naturally Occurring Radioctive Material Laboratory (NORM)
The data releases listed below are associated with the AGGER project.
Absorbance and Fluorescence Excitation-Emission Matrix Data for Produced Waters from Oil and Gas Producing Basins in the United States
TOC, Reflectance and Raman Data from Eocene Green River Mahogany Zone
Data Compiled on historical water use, spatial land disturbance, aquifer disturbance and uranium produced by In Situ Recovery of Uranium from Sandstone Hosted Uranium Deposits in the South Texas Coastal Plain, USA
Chemistry Data from the Birney Test Site, Montana, 2018-2020
Microbiology of the Utica Shale
Atomic Force Microscopy-based Infrared Spectroscopy Data within Immature Eagle Ford Shale at the Nanometer-scale
Fluorescence spectroscopy of ancient sedimentary organic matter via confocal laser scanning microscopy (CLSM)
Injection of Deuterium and Yeast Extract at USGS Birney Field Site, Powder River Basin, Montana, USA, 2016-2020
Input Files and Code for: Machine learning can accurately assign geologic basin to produced water samples using major geochemical parameters
Combined Occurrence Frequency of Wind Speeds and Precipitation Amounts Conducive to Dust Dispersion from Disturbed Mine and Mill Sites in the United States, 2007?16
Nanoscale Molecular Composition of Solid Bitumen from the Eagle Ford Group Across a Natural Thermal Maturity Gradient
The publications listed below are associated with the AGGER project.
Methanogenic archaea in subsurface coal seams are biogeographically distinct: An analysis of metagenomically-derived mcrA sequences
A methodology to assess the historical environmental footprint of in-situ recovery (ISR) of uranium: A demonstration in the Goliad Sand in the Texas Coastal Plain, USA
Subsurface hydrocarbon degradation strategies in low- and high-sulfate coal seam communities identified with activity-based metagenomics
In situ enhancement and isotopic labeling of biogenic coalbed methane
Activity-based, genome-resolved metagenomics uncovers key populations and pathways involved in subsurface conversions of coal to methane
Machine learning can assign geologic basin to produced water samples using major ion geochemistry
Effect of an algal amendment on the microbial conversion of coal to methane at different sulfate concentrations from the Powder River Basin, USA
Compositional evolution of organic matter in Boquillas Shale across a thermal gradient at the single particle level
Insights on the characteristics and sources of gas from an underground coal mine using compositional data analysis
A review of spatially resolved techniques and applications of organic petrography in shale petroleum systems
Investigating the effects of broad ion beam milling to sedimentary organic matter: Surface flattening or heat-induced aromatization and condensation?
Effect of temperature, nitrate concentration, pH and bicarbonate addition on biomass and lipid accumulation in the sporulating green alga PW95
- Overview
The AGGER project seeks to advance the understanding of factors that indicate and control the sources, generation, composition, stimulation, accumulation, movement, and production potential of petroleum, nuclear fuel resources (e.g., uranium and thorium), and their byproducts as well as the potential for resource recovery from wastes generated during extraction.
The purpose of the AGGER project work is to better understand the generation of energy resources (from source rocks to natural gas-generating microorganisms), the conditions best fit for energy generation (such as the geochemical structure of source rocks), the substrates and microorganisms involved in energy generation, and the potential stimulation of energy resources. Additionally, project staff work to better utilize field and analytical methods to characterize materials involved in the generation of energy and to identify energy production wastes that can be used as economic resources. The AGGER project is currently divided into the 7 research tasks and 3 funded research laboratories detailed below:
- Controls on microbial methanogenesis in shale deposits and strategies for enhancement - Task leads: Elliott Barnhart and Matthew Varonka
- Structure and composition of energy materials - Task lead: Aaron Jubb
- Uranium and thorium in NORM products, byproducts and wastes from energy resource life cycles - Task leads: Bonnie McDevitt and Glenn Jolly
- Spectroscopic investigations of energy materials - Task lead: Aaron Jubb
- Remote sensing techniques to quantify energy resources in wastes at abandoned mines - Task lead: Bernard Hubbard
- Waste as a resource - Task leads: Robert Seal and Matthew Varonka
- Scoping innovative approaches in advanced in-situ and field measurements - Task lead: Aaron Jubb
The following 3 laboratories are associated with the AGGER project:
-
Raman Spectroscopy Laboratory (RSL)
-
Naturally Occurring Radioctive Material Laboratory (NORM)
- Data
The data releases listed below are associated with the AGGER project.
Absorbance and Fluorescence Excitation-Emission Matrix Data for Produced Waters from Oil and Gas Producing Basins in the United States
Waters co-produced during petroleum extraction are normally considered wastes but are also possible resources, especially in water-stressed regions. Produced waters can be chemically complex. High salinity, naturally occurring radioactive materials, and organic substances derived from the producing formation can complicate treatment processes. Rapid screening methods to characterize produced waterTOC, Reflectance and Raman Data from Eocene Green River Mahogany Zone
Geological models for petroleum generation suggest thermal conversion of oil-prone sedimentary organic matter in the presence of water promotes increased liquid saturate yield, whereas absence of water causes formation of an aromatic, cross-linked solid bitumen residue. To test the influence of exchangeable hydrogen from water, organic-rich (22 wt. percent total organic carbon, TOC) mudrock sampleData Compiled on historical water use, spatial land disturbance, aquifer disturbance and uranium produced by In Situ Recovery of Uranium from Sandstone Hosted Uranium Deposits in the South Texas Coastal Plain, USA
This data release contains data on historical water use, spatial land disturbance, and spatial aquifer disturbances related to in situ recovery (ISR) uranium extraction per unit of uranium produced. These data were compiled from published and publicly available references including journal articles, government reports, industry reports and company reporting documents for regulatory compliance andChemistry Data from the Birney Test Site, Montana, 2018-2020
Data were collected to monitor geochemistry before and after an injection designed to stimulate microbial methanogenesis in the shallow Flowers-Goodale coal bed, near Birney in southeastern Montana. Waters from wells completed in the Flowers-Goodale, Nance, Knobloch, and Terret coalbeds at the Birney Test Site were sampled. Geochemical characterization of the water included non-purgeable dissolvedMicrobiology of the Utica Shale
In order to determine the innate microbial community of shale gas reservoirs and how they are impacted by hydraulic fracturing, this study analyzed biomass collected from produced water and rock from hydraulically fractured wells in the Utica Shale. The samples include rock chips from a drill core from one Utica well, produced water from that same Utica well, and produced water from 12 different UAtomic Force Microscopy-based Infrared Spectroscopy Data within Immature Eagle Ford Shale at the Nanometer-scale
The nanoscale molecular composition of kerogen is a challenging parameter to characterize given the chemical and structural complexity exhibited by this important biopolymer. However, kerogen composition will strongly impact its reactivity and so is a critical parameter to understand petroleum generation processes during kerogen catagenesis. The recent advent of tip-enhanced analytical methods, suFluorescence spectroscopy of ancient sedimentary organic matter via confocal laser scanning microscopy (CLSM)
Fluorescence spectroscopy via confocal laser scanning microscopy (CLSM) was used to analyze ancient sedimentary organic matter, including Tasmanites microfossils in Devonian shale and Gloecapsomorpha prisca (G. prisca) in Ordovician kukersite from North American basins. We examined fluorescence emission as a function of excitation laser wavelength, sample orientation, and with respect to locationInjection of Deuterium and Yeast Extract at USGS Birney Field Site, Powder River Basin, Montana, USA, 2016-2020
Subsurface microbial (biogenic) methane production is an important part of the global carbon cycle and has resulted in natural gas accumulations in many coal beds worldwide. Laboratory experiments indicate coal beds can act as natural geobioreactors and produce additional low carbon renewable natural gas with algal or yeast compounds, yet the effectiveness of these nutrients in situ are unknown. TInput 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 datasetsCombined Occurrence Frequency of Wind Speeds and Precipitation Amounts Conducive to Dust Dispersion from Disturbed Mine and Mill Sites in the United States, 2007?16
Dispersion of dust depends on many complex factors related to the nature of the disturbed materials, climate, dust control measures, and localized weather patterns. This dataset presents wind speed and rainfall as climate factors that influence dust dispersion. These two basic factors were identified as a subset of the many factors that can lead to dust dispersion. Arpacioglu and Er (2003) revieweNanoscale Molecular Composition of Solid Bitumen from the Eagle Ford Group Across a Natural Thermal Maturity Gradient
Solid bitumen is a petrographically-defined secondary organic matter residue produced during petroleum generation and subsequent oil transformation. The presence of solid bitumen impacts many shale reservoir properties including porosity, permeability, and hydrocarbon generation and storage, amongst others. Furthermore, solid bitumen reflectance is an important parameter for assessing the thermal - Publications
The publications listed below are associated with the AGGER project.
Filter Total Items: 22Methanogenic archaea in subsurface coal seams are biogeographically distinct: An analysis of metagenomically-derived mcrA sequences
The production of methane as an end-product of organic matter degradation in the absence of other terminal electron acceptors is common, and has often been studied in environments such as animal guts, soils, and wetlands due to its potency as a greenhouse gas. To date however, the study of the biogeographic distribution of methanogens across coal seam environments has been minimal. Here, we show tA methodology to assess the historical environmental footprint of in-situ recovery (ISR) of uranium: A demonstration in the Goliad Sand in the Texas Coastal Plain, USA
In-situ recovery (ISR) has been the only technique used to extract uranium from sandstone-hosted uranium deposits in the Pliocene Goliad Sand in the Texas Coastal Plain. Water plays a crucial role throughout the ISR lifecycle of production and groundwater restoration yet neither the water use nor other environmental footprints have been well documented. The goal of this study is to examine historiSubsurface hydrocarbon degradation strategies in low- and high-sulfate coal seam communities identified with activity-based metagenomics
Environmentally relevant metagenomes and BONCAT-FACS derived translationally active metagenomes from Powder River Basin coal seams were investigated to elucidate potential genes and functional groups involved in hydrocarbon degradation to methane in coal seams with high- and low-sulfate levels. An advanced subsurface environmental sampler allowed the establishment of coal-associated microbial commIn situ enhancement and isotopic labeling of biogenic coalbed methane
Subsurface microbial (biogenic) methane production is an important part of the global carbon cycle that has resulted in natural gas accumulations in many coal beds worldwide. Laboratory studies suggest that complex carbon-containing nutrients (e.g., yeast or algae extract) can stimulate methane production, yet the effectiveness of these nutrients within coal beds is unknown. Here, we use downholeActivity-based, genome-resolved metagenomics uncovers key populations and pathways involved in subsurface conversions of coal to methane
Microbial metabolisms and interactions that facilitate subsurface conversions of recalcitrant carbon to methane are poorly understood. We deployed an in situ enrichment device in a subsurface coal seam in the Powder River Basin (PRB), USA, and used BONCAT-FACS-Metagenomics to identify translationally active populations involved in methane generation from a variety of coal-derived aromatic hydrocarMachine 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 sample to aEffect of an algal amendment on the microbial conversion of coal to methane at different sulfate concentrations from the Powder River Basin, USA
Biogenic methane is estimated to account for one-fifth of the natural gas worldwide and there is great interest in controlling methane from different sources. Biogenic coalbed methane (CBM) production relies on syntrophic associations between fermentative bacteria and methanogenic archaea to anaerobically degrade recalcitrant coal and produce methanogenic substrates. However, very little is knownCompositional evolution of organic matter in Boquillas Shale across a thermal gradient at the single particle level
The molecular composition of petroliferous organic matter and its compositional evolution throughout thermal maturation provides insight for understanding petroleum generation. This information is critical for understanding hydrocarbon resources in unconventional reservoirs, as source rock organic matter is highly dispersed, in contact with the surrounding mineral matrix, and may occur as multipleInsights on the characteristics and sources of gas from an underground coal mine using compositional data analysis
Coal mine gas originates from the gas emission zone (GEZ) of the mine, as well as the longwall face and pillars. Gas emissions are controlled directly at the sources using horizontal or vertical boreholes drilled from surface or from the entries in advance of mining, or it is captured from the fractured and caved zones (gob) using ventholes during mining. The rest of the gas, especially that gas tA review of spatially resolved techniques and applications of organic petrography in shale petroleum systems
This review examines new techniques and applications of organic petrography in source-rock reservoir petroleum systems that have occurred along with development of the global ‘shale revolution’ in energy resources. The review is limited to techniques and instrumentation that provide spatially resolved information, typically at or below microscales, for dispersed organic matter occurring in situ inInvestigating the effects of broad ion beam milling to sedimentary organic matter: Surface flattening or heat-induced aromatization and condensation?
Previous work has proposed transfer of kinetic heat energy from low-energy broad ion beam (BIB) milling causes thermal alteration of sedimentary organic matter, resulting in increases of organic matter reflectance. Whereas, other studies have suggested the organic matter reflectance increase from BIB milling is due to decreased surface roughness. To test if reflectance increases to sedimentary orgEffect of temperature, nitrate concentration, pH and bicarbonate addition on biomass and lipid accumulation in the sporulating green alga PW95
The mixed effects of temperature (20 °C, 25 °C and 30 °C), nitrate concentration (0.5 mM and 2.0 mM), pH buffer, and bicarbonate addition (trigger) on biomass growth and lipid accumulation were investigated in the environmental alga PW95 during batch experiments in standardized growth medium. PW95 was isolated from coal-bed methane production water and classified as a Chlamydomonas-like species by