Underground Natural Gas Storage Research Articles

Comprehensive modeling and developing a software for salt cavern underground gas storage

• Comprehensive modeling of different elements of the underground gas storage in salt caverns was carried out. • Main parts of modeling are salt leaching process, gas injection and production process, modeling formation of hydrates and modeling of thermal behavior of the cavern. • This study presents the first integrated modeling in of the gas storage process in salt domes. • Comparison of the results of the proposed model with available data and other software in this field shows that the built software in this project can be confidently used for salt cavern gas storage purposes. Underground natural gas storage (UGS) is significant from strategic and technical points of view. Gas consumption in the cold seasons increases dramatically and makes gas supply a serious challenge. Underground natural gas storage as an effective and permanent strategy can meet the needs of different parts of the country at the peak of consumption. UGS is possible in different methods including storage of gas in depleted hydrocarbon reservoirs, aquifers, abandoned mines, and salt caverns. Because of technical and economic considerations including very low permeability and porosity of salt layers, a high delivery capacity, low surface requirements, and the presence of salt domes in different regions of the country, salt caverns are regarded as a suitable option for storage of natural gas. Due to the high cost of data acquisition in storage/production operations and difficulties of decision-making based on crude data, modeling of these processes can provide a thorough understanding before the operation. Also, a model can effectively contribute to the analysis of the available data from storage and production processes. To the best of our knowledge, this is the first modeling study conducted by integrating all main elements of the gas storage process in salt caverns. This modeling includes salt leaching, injection, and production of the gas, heat transfer effects, and hydrate formation. The most important elements of the process were modeled mathematically and the resulting equations were solved numerically using the most common programming languages including FORTRAN, Visual Basic, and MATLAB. The integrated model was then converted into a user-friendly software “UT-SCUGS”, which is believed to be the first software with the prescribed capabilities. The prediction made by UT-SCUGS was compared with the published data and the available storage/production software (SGSC and SALGAS), and a good agreement was observed in most respects.

Population allocation at the housing unit level: estimates around underground natural gas storage wells in PA, OH, NY, WV, MI, and CA

BackgroundSpatially accurate population data are critical for determining health impacts from many known risk factors. However, the utility of the increasing spatial resolution of disease mapping and environmental exposures is limited by the lack of receptor population data at similar sub-census block spatial scales.MethodsHere we apply an innovative method (Population Allocation by Occupied Domicile Estimation – ABODE) to disaggregate U.S. Census populations by allocating an average person per household to geospatially-identified residential housing units (RHU). We considered two possible sources of RHU location data: address point locations and building footprint centroids. We compared the performance of ABODE with the common proportional population allocation (PPA) method for estimating the nighttime residential populations within 200 m radii and setback areas (100 – 300 ft) around active underground natural gas storage (UGS) wells (n = 9834) in six U.S. states.ResultsAddress location data generally outperformed building footprint data in predicting total counts of census residential housing units, with correlations ranging from 0.67 to 0.81 at the census block level. Using residentially-sited addresses only, ABODE estimated upwards of 20,000 physical households with between 48,126 and 53,250 people living within 200 m of active UGS wells – likely encompassing the size of a proposed UGS Wellhead Safety Zone. Across the 9834 active wells assessed, ABODE estimated between 5074 and 10,198 more people living in these areas compare to PPA, and the difference was significant at the individual well level (p = < 0.0001). By either population estimation method, OH exhibits a substantial degree of hyperlocal land use conflict between populations and UGS wells – more so than other states assessed. In some rare cases, population estimates differed by more than 100 people for the small 200 m2 well-areas. ABODE’s explicit accounting of physical households confirmed over 50% of PPA predictions as false positives indicated by non-zero predictions in areas absent physical RHUs.ConclusionsCompared to PPA – in allocating identical population data at sub-census block spatial scales –ABODE provides a more precise population at risk (PAR) estimate with higher confidence estimates of populations at greatest risk. 65% of UGS wells occupy residential urban and suburban areas indicating the unique land use conflicts presented by UGS systems that likely continue to experience population encroachment. Overall, ABODE confirms tens of thousands of homes and residents are likely located within the proposed UGS Wellhead Safety Zone – and in some cases within state’s oil and gas well surface setback distances – of active UGS wells.

Spectral responses and identification of surface vegetation stressed by natural gas leakage

ABSTRACT The leakage of natural gas from underground storages can cause economic, safety, and ecological problems. However, when the leakage is slight, the gas concentration in surface atmosphere cannot reach the threshold for direct monitoring. Hyperspectral remote sensing can indirectly detect it through the spectral changes of vegetation in the leak area. A field experiment was performed, which took bean, corn and grass as test plants, to study the characteristics of canopy spectral changes under natural gas leakage stress. The results showed that the spectra of stressed vegetation changed significantly after three days of gas injection, which manifested an increase in the visible bands of 570–700 nm and a decrease in the near-infrared of 760–1000 nm. By performing ANOVA (Analysis of Variance) on the spectra of vegetation in the control and experimental plots, the bands with p< 0.05 and bigger F values were selected as the sensitive bands. And the natural gas stress index was constructed using the selected bands. A quantitative test by JM (Jeffries-Matusita) distance showed that the index could well identify (JM > 1.8) the stressed vegetation throughout the phenological plant cycle. This study can be applied to detect underground natural gas storage leakage spots by hyperspectral remote sensing.

Comparison of base gas replacement using nitrogen, flue gas and air during underground natural gas storage in a depleted gas reservoir

ABSTRACT Base gas is considered as an important factor in the storage operation as it remains permanently in the reservoir and maintains the reservoir pressure along the production cycle. Depending on the reservoir under consideration, base gas may occupy as little as 15% or as much as 75% of the total underground gas storage (UGS) reservoirs. Providing and injecting the cushion gas has the most contribution to the cost of the storage operations. Therefore, part of the base gas can be replaced by a cost-effective gas such as nitrogen, flue gas or air to reduce the costs of the investment. Some degree of mixing takes place when two miscible gases come into contact with one another that affects the quality of the produced natural gas. Therefore, the process needs to be studied and controlled. In this study, the feasibility of underground gas storage and the substitution of the base gas by a cheaper gas, i.e., nitrogen, flue gas, and air, are investigated in a partially depleted dry gas reservoir with very low initial pressure. To do so, a comparative study is performed among nitrogen, flue gas and air as the alternative gases to the base gas. In addition, the effect of flue gas composition on the performance of base gas replacement and ultimate gas recovery is investigated. Pure CO2 is considered as flue gas with zero mole% N2. In the end, the effect of the reservoir properties on mixing between the gases is studied. The results indicated that it is possible to substitute 24.8% of the base gas by nitrogen to obtain a 16.2% increase in the gas recovery of the reservoir. In this case, the ultimate recovery reaches 50.90%. Using flue gas as the alternative gas, the results showed a 15.6% increase in the gas recovery of the reservoir, obtained by substituting 23.9% of the base gas. The ultimate recovery using flue gas is 50.31%. According to the results, flue gas can be used as an appropriate option to replace the base gas of the UGS reservoir under consideration, and hence, there would be no more need for separation and purification of N2 and CO2. Increasing the CO2 composition in the flue gas up to 46.6 mole% leads to a decrease in the base gas replacement amount. When the composition increases above 46.6 mole%, the amount of the replaced gas does not change. However, in this composition range, more flue gas is injected into the reservoir, which has environmental advantages. The highest injection rate of the flue gas is obtained when the flue gas contains 100 mole% of CO2. The main problem in using air as the base gas is the high viscosity of air which requires a high injection pressure. According to the results, using air as the replacement gas, 21.3% of the base gas is substituted by air. In this case, gas recovery increases by 13.9% with respect to the reservoir depletion scenario and the ultimate recovery reaches 48.62%.

Application of proxy model to optimize base gas replacement by smart gas in underground gas storage process

One way to reduce the costs of investment in underground natural gas storage processes is to replace a portion of the base gas with a cheap gas. Optimizing the replacement amount of the base gas is one of the most attractive issues as mixing between the replaced base gas and the working gas and exceeding the injection pressure above the formation fracturing pressure are the two important phenomena that can occur and limit the amount of base gas replacement. In the present study, the concept of smart gas is applied to alleviate the encountered limitations during base gas replacement. Smart gas is referred to as the gas, the composition of which is adjusted so as to obtain the maximum amount of the base gas replacement. In the present work, dry air is used as the candidate gas to study the base gas replacement process in a depleted gas reservoir. Due to the fact that execution of a large-scale compositional reservoir simulator incorporated with an optimization algorithm is a time-consuming process, in order to calculate the optimum composition of the candidate gases, a proxy model is applied as a computationally inexpensive alternative to full numerical simulation. The results reveal that the composition of CO2 in air is an important parameter in controlling mixing between the candidate base gas and the working gas, while maintaining the injection pressure below the fracturing pressure of the formation. In addition, when the CO2 composition exceeds a specific value (40.95% in the modified air), the pressure that is required for gas production at a target rate cannot be supplied. The optimization of the CO2 composition in the candidate gas employing the proxy model shows that it is possible to replace 28.4% of the base gas and reach an enhanced gas recovery of about 18.55% in the reservoir under study using the optimized CO2 composition of 20.08% in the modified air as the replacing gas.

Prediction of pressure and temperature changes in the salt caverns of Tuz Golu underground natural gas storage site while withdrawing or injecting natural gas by numerical simulations

Tuz Golu (Salt Lake) Underground Gas Storage (UGS) Project in Turkey is being implemented. In some of salt caverns, natural gas is currently stored. While analyzing the data of Tuz Golu UGS project, it was observed that this location is appropriate for safe underground natural gas storage due to its rock salt with high purity and very low permeability. In this study, many numerical simulations for a salt cavern in Tuz Golu UGS project at different gas withdrawal and injection rates were conducted by using TOUGH + RealGasBrine simulator. According to the results of these numerical simulations, the temperature inside salt cavern reduced below 0 °C from 53 °C within 20 days at a rate of gas withdrawal of 3.33 million standard m3/day due to Joule-Thomson effect. The temperature inside salt cavern reduced below 0 °C within 25 days, 40 days, and 60 days at a rate of gas withdrawal of 2.5, 1.67, and 0.833 million standard m3, respectively. In order to avoid fracture around the walls of salt cavern, the temperature change inside salt cavern should not be higher than 30 °C. In the numerical simulations, there is no gas seepages from the salt cavern to other neighbor salt caverns, which are 600 m away owing to very low permeability of salt rock in the study area. The implication of this study is that gas withdrawal and gas injection profiles are quite important to keep the temperature inside salt caverns at an optimum range for safe natural gas storage.

Influence of natural gas thermodynamic characteristics on stability of salt cavern gas storage

The good creep characteristics and damage repair characteristics of salt rock make it a high-quality stratum resource for the construction of underground natural gas storage. During the operation of salt cavern gas storage, the creep of salt rock is mainly concentrated in the steady creep stage. Stress and temperature have a great influence on the creep properties of salt rock. When the salt cavern gas storage is in operation, the injection and production cycle alternates, the gas flow is large in a short time, and the internal pressure and temperature of the salt rock cavern are constantly changing. The thermal and stress states of the gas storage are constantly changing, which directly affects the creep characteristics of the underground cavern of the gas storage, and thus affects the shape change of the cavern and the volume convergence characteristics. This paper is based on the characteristics of natural gas flow and heat transfer when the gas is injected and mined, through the fitting of experimental data and the application of classical creep constitutive equations, the characteristics of the cavern volume convergence during the ultimate gas recovery operation and emergency peaking operation of the gas storage are studied. The results showed that the temperature change in the gas storage cavern had a significant effect on the creep of salt rock. The influence of temperature should be considered when analyzing the stability of gas storage. The volume convergence of the cavern gas storage cavern is mainly concentrated in the large-rate gas production and low-pressure gas storage stages. Increasing the internal pressure and shortening the gas production running time have a significant inhibitory effect on the volume reduction of the cavern. While meeting the demand for natural gas, the emergency gas production time should be shortened as much as possible to avoid the long-term low-pressure gas storage state of the gas storage, which can meet the stability requirements of the salt rock cavern volume convergence.

Household-Level Population Estimates and Building Setbacks near Underground Natural Gas Storage Wells in PA, OH, NY, WV, MI, and CA

Health impacts have been reported in people living near oil and gas operations (e.g., asthma exacerbation). Towards assessing these risks, studies quantifying proximate populations generally assume an even spatial distribution of population within an administrative unit (e.g., census block). These proportion population allocation (PPA) methods can be improved by excluding non-residential land use areas (i.e. dasymetric mapping), but are still too imprecise to obtain reliable estimates of population densities at small spatial scales (e.g., 50m2). Here we present ABODE (Allocation By Occupied Domicile Estimation), a novel household-level population estimation method that combines geospatial addresses, building footprints, and U.S. Census data. We assess ABODE and PPA methods by comparing population estimates within 200m of active underground natural gas storage (UGS) wells (n &amp;#61; 8,963) in six U.S. states. Overall, ABODE predicts slightly higher population estimates compared to PPA (48,126 vs. 43,052); however estimation bias varied by state and by individual well. ABODE captured higher populations within 200m of UGS wells in OH, WV, and PA with increases of 6, 54, and 66% compared to the PPA method, respectively. Conversely, the ABODE method captures fewer populations in NY, MI, and CA, with decreases of 4, 7, and 26%, respectively. By explicitly identifying households near active UGS wells in the six states, we also quantify well-to-building relationships and compare to state surface setback regulations where they exist. An estimated 9.4% (840) of UGS wells across the six states have at least one building within a regulated setback distance. This results in 2,769 households, or an estimated 4,816 people, living within these states&amp;#8217; respective setbacks (e.g., 100 - 625ft.). The spatially-resolved nature of the ABODE method provides a clear advancement from previous proximity-based methods towards understanding present and future land-use conflicts.

Economic value of underground natural gas storage for the Brazilian power sector

This paper aims at assessing the main obstacles to the development of underground natural gas storage (UGS) in Brazil and at identifying the conditions required for the feasibility of UGS projects in the country. The paper estimates the economic value of UGS facilities for the power sector in Brazil, considering the specificities of the Brazilian power and gas sectors. It is shown that the Brazilian gas demand does not have a seasonal characteristic; instead, the demand is volatile of a random nature associated with the demand from thermal power plants, which are complementary to hydropower generation. This paper has proved that there is an important economic value associated with the storage of gas in periods of low power prices and its consumption in period of high power prices. Finally, this paper argues that it is essential to seek mechanisms to include the economic value of UGS for the power sector into the UGS regulation and market design, as well as to explore the possibility of making gas storage a resource for the power sector operation.

Assessment of geological resource potential for compressed air energy storage in global electricity supply

This paper presents the geological resource potential of the compressed air energy storage (CAES) technology worldwide by overlaying suitable geological formations, salt deposits and aquifers. For this study, the world is divided into 145 regions, which are aggregated to 9 major regions. The potential of CAES in each region is assessed and a relevant map is provided. Three constraints have been implemented, allowing for 1%, 5% and 10% of the selected area to be considered for CAES. Among all major regions, in the most conservative constraint (1% of the total area), North America is the leader with 0.26% suitability of its total area, followed by Sub-Saharan Africa and South America at 0.20% and 0.19%, respectively. A sensitivity analysis is implemented to evaluate the validity and reliability of the results. Three scenarios are considered: Optimistic, Moderate and Pessimistic. Underground natural gas storage data for the US is used due to freely and publicly available data. The natural gas storage site is assumed to have the same structure as CAES. The sensitivity analysis shows that the accuracy of the findings lie in the range of 66–85% and 63–82%, depending on the scenarios and reservoir types. The results clearly reveal that CAES is a promising energy storage technology for electricity supply in most of the regions. This research presents the groundwork to identify the untapped potential of CAES, which can be also utilized for the second generation of CAES such as adiabatic CAES and isothermal CAES.

English

Soils in areas of underground natural gas storage facilities (UGS) can become contaminated with hydrocarbons, which impacts negatively on soil properties and functions of soil biocenosis. The purpose of this study was to biodiagnose soil samples from the territory of an UGS (Stepnoye district, Saratov region) using bioassay. For microbiological analysis of the soil samples, the following parameters were selected: The total number of heterotrophic microorganisms, the content of hydrocarbon-oxidizing and methylotrophic bacteria, as well as the number of iron-oxidizing bacteria given that in the area of this natural gas storage facility clusters of bacteriomorphic magnetite may have been formed. Dehydrogenase, catalase and β-fructofuranosidase activities were studied as informative and sensitive indicators. The biodiagnostic results showed reduced levels of heterotrophic microorganisms in the soil samples from the area of this UGS compared to the background samples obtained outside the UGS. A high content of indicator organisms: Hydrocarbon-oxidizing and methylotrophic bacteria, not only facultative, but obligate was observed in some soil samples which suggests the emission of methane into the upper layers of the soil. The presence of iron-oxidizing microorganisms in the soil samples was confirmed by an increased activity of dehydrogenases and catalases. The observed correlations between the studied biological and physico-chemical parameters of soil confirmed the presence of hydrocarbon pollution. Key words: Underground gas storage, bioassay, soil microorganisms, soil enzymes, magnetic susceptibility.

Combining TOUGH2 and FLAC3D to Solve Problems in Underground Gas Storage

This paper describes modeling studies assessing the feasibility of increasing the maximum storage pressure in several underground natural gas storage reservoirs. This required an assessment of the potential for gas transport in the caprock and the geomechanical response to pressure change in the storage reservoir. To solve this problem in an efficient manner, two-phase flow (TOUGH2) and geomechanical (FLAC3D) models were combined in series. The TOUGH2 model was calibrated to fit pressure data collected on-site, from both the reservoir and caprock. The mechanical response of the caprock to increased storage pressure was modeled using FLAC3D, allowing assessment of the induced stresses in formations surrounding the reservoirs. We focused on two sites. In the first, field data were obtained from a deep borehole above the gas reservoir, which provided indirect observations of the geomechanical response of the caprock to pressure changes in the reservoir. In the second, open boreholes intersecting two thin caprock units immediately above the reservoir allowed gas flow to a shallower unit, significantly impacting the modeled fracture gradient.

UGS in giant offshore salt caverns to substitute the actual Brazilian NG storage in LNG vessels

This paper evaluates the importance of underground natural gas storage in Brazil and the selection of an area for such, considering logistical and geomechanical aspects. Currently, the power plants are fueled by natural gas. This gas consumption is seasonal, volatile and associated with the level of rainfall in the hydroelectric power plants' basins. Therefore, Brazil has been using floating stocks of Liquefied Natural Gas (LNG) in LNG carriers. This contingency storage is inefficient and costly. This article demonstrates the technical feasibility of replacing LNG floating stocks by underground caverns created by dissolving rock salt domes offshore. Rock salt has a negligible permeability to most fluids and gasses even under high pressure. The rock salt skeleton also develops the phenomenon of creep, through which can absorb high levels of strain and can self-heal cracks and faults over time. This article also presents the design of the caverns by computer simulation. The computer codes were developed by (Costa, 1978) and (Costa, 1984), since than theses codes have been used in several different types of geomechanical engineering projects.

Location selection for underground natural gas storage using Choquet integral

Large scale storage of natural gas is important today to ensure reliable supply during peak periods as consumption increases due to industrialization and population growth. As a result of this increase in demand, plans for building underground natural gas storage facilities are being considered. We propose selecting suitable sites in Turkey using the Choquet integral fuzzy based multi-criteria decision making method. The proposed solutions are based on the determined set of criteria, alternatives and linguistic variables to be used in the model. Among the main criteria considered in this paper are costs, time, usability, risks, social factors, and environmental factors. The method is analysed using these selected criteria, alternatives and linguistic variables. Thus, ranking the alternatives is performed with the Choquet integral. As a result, we found out the proposed approach is useful and practical for the location selection and other fuzzy MCDM problems.

A national assessment of underground natural gas storage: identifying wells with designs likely vulnerable to a single-point-of-failure

The leak of processed natural gas (PNG) from October 2015 to February 2016 from the Aliso Canyon storage facility, near Los Angeles, California, was the largest single accidental release of greenhouse gases in US history. The Interagency Task Force on Natural Gas Storage Safety and California regulators recently recommended operators phase out single-point-of-failure (SPF) well designs. Here, we develop a national dataset of UGS well activity in the continental US to assess regulatory data availability and uncertainty, and to assess the prevalence of certain well design deficiencies including single-point-of-failure designs. We identified 14 138 active UGS wells associated with 317 active UGS facilities in 29 states using regulatory and company data. State-level wellbore datasets contained numerous reporting inconsistencies that limited data concatenation. We identified 2715 active UGS wells across 160 facilities that, like the failed well at Aliso Canyon, predated the storage facility, and therefore were not originally designed for gas storage. The majority (88%) of these repurposed wells are located in OH, MI, PA, NY, and WV. Repurposed wells have a median age of 74 years, and the 2694 repurposed wells constructed prior to 1979 are particularly likely to exhibit design-related deficiencies. An estimated 210 active repurposed wells were constructed before 1917—before cement zonal isolation methods were utilized. These wells are located in OH, PA, NY, and WV and represent the highest priority related to potential design deficiencies that could lead to containment loss. This national baseline assessment identifies regulatory data uncertainties, highlights a potentially widespread vulnerability of the natural gas supply chain, and can aid in prioritization and oversight for high-risk wells and facilities.

Researches in Optimization Selection of Design Scheme of Underground Natural Gas Storage Based on TOPSIS Method

As the increasing importance of natural gas in the energy consumption of our country, the natural gas consumption has been rising year by year. In order to avoid gas shortage, the most effective way is to storage the natural gas, while the best method is to build underground natural gas storage. There are different choices for the storage design regarding to the specifications. Therefore, it is of great importance and critical to optimize the design schemes of underground storage. In this study, we extract the key evaluation indices on the basis of previous researches. An innovative combination of analytic hierarchy process and TOPSIS method have been used to determine the optimal design plan of natural gas storage reasonably.

About this title ‐ Geomechanical and Petrophysical Properties of Mudrocks

A surge of interest in the geomechanical and petrophysical properties of mudrocks (shales) has taken place in recent years following the development of a shale gas industry in the United States and elsewhere, and with the prospect of similar developments in the UK. Also, these rocks are of particular importance in excavation and construction geotechnics and other rock engineering applications, such as underground natural gas storage, carbon dioxide disposal and radioactive waste storage. They may greatly influence the stability of natural and engineered slopes. Mudrocks, which make up almost three-quarters of all the sedimentary rocks on Earth, therefore impact on many areas of applied geoscience. This volume focuses on the mechanical behaviour and various physical properties of mudrocks. The 15 chapters are grouped into three themes: (i) physical properties such as porosity, permeability, fluid flow through cracks, strength and geotechnical behaviour; (ii) mineralogy and microstructure, which control geomechanical behaviour; and (iii) fracture, both in laboratory studies and in the field.

Identification and characterization of high methane-emitting abandoned oil and gas wells

Recent measurements of methane emissions from abandoned oil/gas wells show that these wells can be a substantial source of methane to the atmosphere, particularly from a small proportion of high-emitting wells. However, identifying high emitters remains a challenge. We couple 163 well measurements of methane flow rates; ethane, propane, and n-butane concentrations; isotopes of methane; and noble gas concentrations from 88 wells in Pennsylvania with synthesized data from historical documents, field investigations, and state databases. Using our databases, we (i) improve estimates of the number of abandoned wells in Pennsylvania; (ii) characterize key attributes that accompany high emitters, including depth, type, plugging status, and coal area designation; and (iii) estimate attribute-specific and overall methane emissions from abandoned wells. High emitters are best predicted as unplugged gas wells and plugged/vented gas wells in coal areas and appear to be unrelated to the presence of underground natural gas storage areas or unconventional oil/gas production. Repeat measurements over 2 years show that flow rates of high emitters are sustained through time. Our attribute-based methane emission data and our comprehensive estimate of 470,000-750,000 abandoned wells in Pennsylvania result in estimated state-wide emissions of 0.04-0.07 Mt (1012 g) CH4 per year. This estimate represents 5-8% of annual anthropogenic methane emissions in Pennsylvania. Our methodology combining new field measurements with data mining of previously unavailable well attributes and numbers of wells can be used to improve methane emission estimates and prioritize cost-effective mitigation strategies for Pennsylvania and beyond.

Quantifying the Effects of Underground Natural Gas Storage on Nearby Residents

We estimate the potential negative effects of underground natural gas storage on local residents using hedonic regression and a sample of Indiana properties transacted between 2004 and 2013. We find that underground natural gas storage activities significantly reduce property values. Property values increase by about 10 percent at a distance of 1 kilometer from a storage field. Each additional storage well and observation well located near a property reduces the property's value by about 0.43 percent and 2.64 percent, respectively. Our research sheds new light on a previously unexplored aspect of natural gas resource activities.

Experimental determination of single-crystal halite thermal conductivity, diffusivity and specific heat from −75 °C to 300 °C

The thermal properties of halite have broad practical importance, from design and long-term modeling of nuclear waste repositories to analysis and performance assessment of underground natural gas, petroleum and air storage facilities. Using a computer-controlled transient plane source method, single-crystal halite thermal conductivity, thermal diffusivity and specific heat were measured from -75°C to 300°C. These measurements reproduce historical high-temperature experiments and extend the lower temperature extreme into cryogenic conditions. Measurements were taken in 25-degree increments from -75°C to 300°C. Over this temperature range, thermal conductivity decreases by a factor of 3.7, from 9.975 to 2.699 W/mK , and thermal diffusivity decreases by a factor of 3.6, from 5.032 to 1.396 mm²/s. Specific heat does not appear to be temperature dependent, remaining near 2.0 MJ/m³K at all temperatures. This work is intended to develop and expand the existing dataset of halite thermal properties, which are of particular value in defining the parameters of salt storage thermophysical models. The work was motivated by a need for thermal conductivity values in a mixture theory model used to determine bulk thermal conductivity of reconsolidating crushed salt.