The University of Hawaii at Manoa conducted a Play Fairway Analysis of the state of geothermal potential for the islands. Phase I included the aggregation of all existing geologic, geophysical and geochemical data available. A probability model incorporating heat, fluid, and permeability was then created to assess the probability of viable geothermal development. Phase II is the focus of this paper, with new data collection as the goal for this funding period. The Play Fairway Project collected new geothermal groundwater data from 60 wells and 1 spring across the State of Hawaii. Geochemical geothermal indicators used previously in Hawaii, and around the world, were investigated for the newly acquired data in Phase II. These indicators include groundwater temperature, chloride:magnesium ratios, sulfate:chloride ratios, and silica concentrations. All chemical analyses were collected by ... the Play Fairway team and analyzed at various labs at the University of Hawaii at Manoa. Of the ten target areas identified for Phase II, two of the sites provide encouraging groundwater geochemical results for potential geothermal resources. These sites include the Southwest Rift Zone of Haleakala, Maui, and the Palawai Basin, Lanai. Multiple geothermal indicators have been observed in these areas and, therefore, provide encouragement to further explore for subsurface heat. Further investigation is recommended in these target areas through geological, geophysical, and geochemical exploration. The Hawaii Play Fairway project was funded by the U.S. Department of Energy Geothermal Technologies Office, and the Hawaii Groundwater and Geothermal Resources Center (Hawaii Institute of Geophysics and Planetology, University of Hawaii at Manoa) executed the project. For more information, go to HGGRC's website that is linked in the resources.

Explore actual government revenues and expenditures by sector in Saudi Arabia, including data on total expenditure, military, economic resources, public administration, education, oil revenues, health & social development, and more. General Items, Total Expenditure, Military, Economic Resources, Security and Regional Administration, Total Revenues, Deficit / Surplus ( Expected ), Public Administration, Revenues, Expenditures, Education, Oil Revenues, Municipality Service, Infrastructure and Transport, Health & Social Development, Non-oil Revenues, Budget, surplus, deficit, ratio, SAMA Annual Saudi ArabiaFollow data.kapsarc.org for timely data to advance energy economics research..

The information given in this file pertains to Argonne life-cycle analyses (LCAs) of the plant cycle stage for a set of ten new geothermal scenario pairs, each comprised of a reference and improved case. These analyses were conducted to compare environmental performances among the scenarios and cases. The types of plants evaluated are hydrothermal binary and flash and Enhanced Geothermal Systems (EGS) binary and flash plants. Each scenario pair was developed by the levelized cost of energy (LCOE) group using the Geothermal Electricity Evaluation Model (GETEM) as a way to identify plant operational and resource combinations that could reduce geothermal power plant LCOE values. Based on the specified plant and well field characteristics (plant type, capacity, capacity factor and lifetime, and well numbers and depths) for each case of each pair, Argonne generated a corresponding set of material to power ratios (MPRs) and greenhouse gas and fossil energy ratios.

Analysis of Unit Mobility Ratio Well-to-Well Tracer Flow to Determine Reservoir Heterogeneity DOE/SF/11564-1

This calculator is a handy tool for interested parties to estimate two key life cycle metrics, fossil energy consumption (Etot) and greenhouse gas emission (ghgtot) ratios, for geothermal electric power production. It is based solely on data developed by Argonne National Laboratory for DOE's Geothermal Technologies office. The calculator permits the user to explore the impact of a range of key geothermal power production parameters, including plant capacity, lifetime, capacity factor, geothermal technology, well numbers and depths, field exploration, and others on the two metrics just mentioned. Estimates of variations in the results are also available to the user.

Explore the Saudi Arabia Government Revenues and Expenditures dataset , including Total Expenditures, Total Revenues, Oil Revenues, Deficit/Surplus, and more. Total Expenditures, Total Revenues, Oil Revenues, Deficit/Surplus (Actual), Capital Expenditures, Non-Oil Revenues, Current Expenditures, Revenues, Expenditures, Oil Revenues, Budget, Capital, surplus, deficit, ratio, SAMA Annual Saudi ArabiaFollow data.kapsarc.org for timely data to advance energy economics research..Important notes:Data in Million Saudi Riyal.1990 - 1991: Budget allocation for fiscal year 1411/12 ( 1991 ) was amalgamated with the budget for 1410/11( 1990 ).2000, 2002 and 2004: Salaries of 13 months were paid.2010: The Surplus does not include expenditure on projects from surplus account (Rls17057 Million). And it includes deposits (Rls 731 Million) in government current account.As from 1407/08 ( 1987 ), the kingdom's fiscal year begins on 10th capricorn of the Zodiac year. Up to 1405/06 ( 1985 ) the fiscal years covered the period from 1st Rajab to the end of Jumad II.

Life cycle analysis (LCA) is an environmental assessment method that quantifies the environmental performance of a product system over its entire lifetime, from cradle to grave. Based on a set of relevant metrics, the method is aptly suited for comparing the environmental performance of competing products systems. This file contains LCA data and results for electric power production including geothermal power. The LCA for electric power has been broken down into two life cycle stages, namely plant and fuel cycles. Relevant metrics include the energy ratio and greenhouse gas (GHG) ratios, where the former is the ratio of system input energy to total lifetime electrical energy out and the latter is the ratio of the sum of all incurred greenhouse gases (in CO2 equivalents) divided by the same energy output. Specific information included herein are material to power (MPR) ratios for a range of power technologies for conventional thermoelectric, renewables (including three geothermal power technologies), and coproduced natural gas/geothermal power. For the geothermal power scenarios, the MPRs include the casing, cement, diesel, and water requirements for drilling wells and topside piping. Also included herein are energy and GHG ratios for plant and fuel cycle stages for the range of considered electricity generating technologies. Some of this information are MPR data extracted directly from the literature or from models (eg. ICARUS - a subset of ASPEN models) and others (energy and GHG ratios) are results calculated using GREET models and MPR data. MPR data for wells included herein were based on the Argonne well materials model and GETEM well count results.

Polymer-cement experiments were conducted in order to assess the chemical and thermal properties of various polymer-cement composites. This file set includes the following polymer-cement analyses: Polymer-Cement Composite Synthesis Polymer-Cement Interactions by Atomistic Simulations Polymer-Cements Compressive Strength & Fracture Toughness Polymer-Cements Fourier Transform Infrared Spectroscopy (FTIR) Analysis Polymer-Cements Resistance to Thermal Shock-CO2 and H2SO4 Attack Polymer-Cements Rheology Analysis Polymer-Cements Self-Repairing Permeability Analysis Polymer-Cements Scanning Electron Microscopy with Energy Dispersive X-Ray Spectroscopy (SEM-EDX) Compositional Analysis Polymer-Cements Thermogravimetric Analysis (TGA) and Total Organic and Inorganic Carbon Analysis (TOC and TIC) Polymer-Cements X-Ray Diffraction (XRD) Analysis

From the site: "Increasingly, hydrologic studies require information on the isotopic composition of natural waters. This report presents stable hydrogen (δ2H) and oxygen isotope ratios (δ180) of precipitation samples from seven selected sites of the National Oceanic and Atmospheric Administration's Atmospheric Integrated Research Monitoring Network (AIRMoN) collected during the years 1992-1994."

A DEM of the Tularosa Basin was divided into twelve zones, each of which a ZR ratio was calculated for. This submission has a TIFF image of the zoning designations, along with a table with respective ZR ratio calculations in the metadata. The primary results are in the table below, and high ZR ratio values indicate relatively high strain rates. Zone ZR ratio 1 1.2852479 2 1.17442846 3 0.89700274 4 0.74546427 5 0.99841793 6 0.86434253 7 0.83016287 8 1.91696538 9 1.13691977 10 1.68062953 11 1.23044486 12 1.13160887