Newberry Volcano in Central Oregon is the site of a Department of Energy funded Enhanced Geothermal System (EGS) Demonstration Project. Stimulation and production of an EGS is a strong perturbation to the physical and chemical environment, giving rise to coupled Thermal-Hydrological-Mechanical-Chemical (THMC) processes leading to permeability changes as a result of mineral dissolution and precipitation, rock deformation, and fracture reactivation. To evaluate these processes, and to help guide EGS stimulation and reservoir development strategies, a combined native-state and reservoir model of the west flank of Newberry Volcano was created that encompasses the planned stimulation zone and a several km region of the west flank from the surface down to the supercritical region, likely close to a postulated cooling intrusive body. Temperature and pressure distributions were first modeled using TOUGHREACT with boundary conditions estimated from nearby drill holes, and compared to measurements made in the over 3 km deep NWG 55-29 drill hole. With estimates of the porosity and heat capacities for the major hydrogeologic units, thermal conductivities were calibrated by matching to the measured temperature profile. To simulate the development of the observed hydrothermal mineralogy, a reaction-transport model (THC) was developed using the pre-alteration mineralogy and shallow groundwater chemistry as the initial geochemical conditions, assuming that modeled temperature and pressure distributions were relatively constant over several thousand years. Close correspondence of modeled and observed epidote distributions support the observation that past hydrothermal activity took place under thermal gradients similar to current values, whereas calcite and sulfide abundances at depth likely require a magmatic gas component. Multicomponent geothermometry was used to estimate potential temperatures of equilibration of waters, and to evaluate the effects of kinetics on calculated mineral equilibration temperatures. The ultimate goal will be to capture both the local chemical and mechanical changes in the rock owing to stimulation as well as the potential long-term response and sustainability of the larger-scale geothermal reservoir.
We describe screening level estimates of potential aquatic toxicity posed by 227 chemical analytes that were measured in 25 ambient water samples collected as part of a joint USGS/USEPA drinking water plant study. Measured concentrations were compared to biological effect concentration (EC) estimates, including USEPA aquatic life criteria, effective plasma concentrations of pharmaceuticals, published toxicity data summarized in the USEPA ECOTOX database, and chemical structure-based predictions. Potential dietary exposures were estimated using a generic 3-tiered food web accumulation scenario. This dataset is associated with the following publication: Kostich , M., R. Flick , A. Batt , H. Mash , S. Boone , E. Furlong, D. Kolpin, and S. Glassmeyer. Aquatic concentrations of chemical analytes compared to ecotoxicity estimates. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 579: 1649-1657, (2017).
CHEM2D is a two-dimensional, three-phase, nine-component finite-difference chemical flood simulator. It can simulate waterfloods, polymer floods, and micellar/polymer floods using heterogeneous one- or two-dimensional (areal or cross-sectional) reservoir models. At present only one injection and four production wells are available. The user may specify well performance as either pressure or rate constrained. A constant time step size or a variable time step size determined by extrapolation of concentration changes may be specified.
The Chemical Search Web Utility is an intuitive web application that allows the public to easily find the chemical that they are interested in using, and which provides a broad array of simple to advanced search options.
The EGS Collab SIGMA-V project is a multi-lab and university collaborative research project that is being undertaken at the Sanford Underground Research Facility (SURF) in South Dakota. The project consists of studying stimulation, fluid-flow, and heat transfer processes at a scale of 10-20 m, which is readily amenable to detailed characterization and monitoring. One objective of the project is to establish circulation from injector to producer by hydraulically fracturing the injector. Data generated during these experiments is to be compared with predictions from coupled thermal, hydrological, mechanical, and chemical simulators. One such a simulator, TOUGH2-CSM, has been enhanced in order to simulate EGS Collab SIGMA-V project experiments. These modifications include adding tracers, the capability to model tracer sorption, and an embedded fracture formulation. A set of example problems validate our conservative tracer transport and sorption formulations. We then simulated tracer transport and thermal breakthrough for the first EGS Collab SIGMA-V experiment. This dataset includes the TOUGH2-CSM input and output files associated with the thermal and tracer simulations. A conference paper is included for additional context.
This quarterly report summarizes chemical residue results for the United States National Residue Program for meat, poultry, and egg products. The results in this report cover the domestic (scheduled and inspector-generated) and import sampling programs. Data is updated quarterly. See the FSIS website for additional information.
DOE/BC/14447-15
DOE/BC/14447-10
The data files below summarize the results from various experiments testing properties of high-temperature self-healing inorganic cement composites. These properties include cement-carbon steel bond strength, Young's modulus recovery, matrix recovery strength, and compressive strength and Yonug's modulus for cement composites modified with Pozzolanic Clay additives.
Modeling and Optimizing Surfactant Structure to Improve Oil Recovery by Chemical Flooding at the University of Texas DOE/BC/10841-10
DOE/BC/10841-5
EPA’s mission is to protect human health and the environment. EPA’s IRIS Program supports this mission by identifying and characterizing the health hazards of chemicals found in the environment. Each IRIS assessment can cover a chemical, a group of related chemicals, or a complex mixture. Internet Archive URL: https://web.archive.org/web/*/https://www.epa.gov/iris
This report is the third in a series of reports sponsored by the U.S. Department of Energy Geothermal Technologies Program in which a range of water-related issues surrounding geothermal power production are evaluated. The first report made an initial attempt at quantifying the life cycle fresh water requirements of geothermal power-generating systems and explored operational and environmental concerns related to the geochemical composition of geothermal fluids. The initial analysis of life cycle fresh water consumption of geothermal power-generating systems identified that operational water requirements consumed the vast majority of water across the life cycle. However, it relied upon limited operational water consumption data and did not account for belowground operational losses for enhanced geothermal systems (EGSs). A second report presented an initial assessment of fresh water demand for future growth in utility-scale geothermal power generation. The current analysis builds upon this work to improve life cycle fresh water consumption estimates and incorporates regional water availability into the resource assessment to improve the identification of areas where future growth in geothermal electricity generation may encounter water challenges.
Mobility Control in Oil Recovery by Chemical Flooding State-of-the-Art Review, January 1987
DOE/BC/10841-15 Modeling and Optimizing Surfactant Structure to Improve Oil Recovery by Chemical Flooding at the University of Texas--Final Report
NUFT-C (Nonisothermal, Unsaturated Flow and Transport with Chemistry) is a continuum-scale simulator developed by Lawrence Livermore National Laboratory. NUFT-C is used to simulate coupled fluid movement (multiple liquids and gas) and chemical reactions in saturated or unsaturated porous media.
The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.
The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.
The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.
The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.
The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.
The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.
The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.
The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.
The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.
The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.
The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.
The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.
The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.
The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.
The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.
The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.
The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.
The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.
The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.
The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.
The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.
The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.
Standard Operation Precedures for the culture of the gill cell line from rainbow trout (RTgill-W1) and the performance of a cell viability assay based on the RTgill-W1 cells along with a data evaluation excel-template.
TRI tracks the management of certain toxic chemicals that may pose a threat to human health and the environment. U.S. facilities in different industry sectors must report annually how much of each chemical is released to the environment and/or managed through recycling, energy recovery and treatment. (A "release" of a chemical means that it is emitted to the air or water, or placed in some type of land disposal.) The information submitted by facilities is compiled in the Toxics Release Inventory. https://www.epa.gov/toxics-release-inventory-tri-program/learn-about-toxics-release-inventory#What is the Toxics Release Inventory? Internet Archive URL: https://web.archive.org/web/*/https://iaspub.epa.gov/triexplorer/tri_release.chemical
Sodium Bicarbonate in Chemical Flooding: Part II, Topical Report, July 1987
The Substance Registry Services (SRS) is the authoritative resource for basic information about substances of interest to the U.S. EPA and its state and tribal partners. Substances, particularly chemicals, can have many valid synonyms. For example, toluene, methyl benzene, and phenyl methane, are commonly used names for the same chemical. EPA programs collect environmental data for this chemical using each of these names, plus others. This diversity leads to problems when a user is looking for programmatic data for toluene but is unaware that the data is stored under the synonym methyl benzene. For each substance, the SRS identifies the statutes, EPA programs, as well as organization external to EPA, that track or regulate that substance and the synonym used by that statute, EPA program or external organization. Besides standardized information for each chemical, such as the Chemical Abstracts Services name and the Chemical Abstracts Number and the EPA Registry Name (the EPA standard name), the SRS also includes additional information, such as molecular weight and molecular formula. Additionally, an SRS Internal Tracking Number uniquely identifies each substance, enabling cross-walking between synonyms. EPA is providing a large .ZIP file providing the SRS data in CSV format, and a separate small metadata file in XML containing the field names and definitions.
Summaries of FY 1979 Research in the Chemical Sciences, May 1980
Tables, Figures, and Supplemental Materials. This dataset is associated with the following publication: Hill III, T., M. Nelms, S. Edwards, M. Martin, R. Judson, C. Corton, and C. Wood. Negative Predictors of Carcinogenicity for Environmental Chemicals. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 155(1): 157-169, (2017).
The Toxics Release Inventory (TRI) Chemical Hazard Information Profiles (TRI-CHIP) dataset contains hazard information about the chemicals reported in TRI. Users can use this XML-format dataset to create their own databases and hazard analyses of TRI chemicals. The hazard information is compiled from a series of authoritative sources including the Integrated Risk Information System (IRIS). The dataset is provided as a downloadable .zip file that when extracted provides XML files and schemas for the hazard information tables.
Recent USDA/ARS patented technologies on bioenergy and the environment that are available for licensing are described, including summary, contact, benefits, and applications. Updated June 2018.