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Deep Borehole Emplacement Mode Hazard Analysis (Rev. 1)

Sevougian, Stephen D.

This report outlines a methodology and provides resource information for the Deep Borehole Emplacement Mode Hazard Analysis (DBEMHA). The main purpose is identify the accident hazards and accident event sequences associated with the two emplacement mode options (wireline or drillstring), to outline a methodology for computing accident probabilities and frequencies, and to point to available databases on the nature and frequency of accidents typically associated with standard borehole drilling and nuclear handling operations.

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TYPE SAND Report YEAR 2015
DOIOSTI

Causal Analysis For Occurrence Report: OR NA-SS-SNL-2000-2015-0005 Unexpected Type of Failure of Thermal Battery

Forbes, Elizabeth H.

On 6/26/2015 at approximately 1445 in 894/136, a pulse thermal battery (approximately the size of a commercial size C cell) experienced an unexpected failure following an electrical performance test that is routinely conducted on thermal batteries. A dedicated tester for this operation was used and it ran the test until the nominal 28-volt output of the battery had dropped to 5 volts, usually indicative of the battery being spent and safe enough to move. The failure occurred while a test operator was transferring the battery from the testing primary containment box to another primary containment box within the same room; initial indications are that the battery experienced an over-pressurization failure which led to the battery's base plate being expelled and the operator receiving a non-recordable injury (bruising to the palm of the hand) from the pressure of the expulsion. The operator was wearing the prescribed PPE (safety glasses and high temperature glove) and was handling the battery appropriately with an open, flat hand. Pictures of the scene are below.

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TYPE Other Report YEAR 2015
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Sulphur Extraction at Bryan Mound

Kirby, Carolyn L.; Lord, Anna S.

The Bryan Mound caprock was subjected to extensive sulphur mining prior to the development of the Strategic Petroleum Reserve. Undoubtedly, the mining has modified the caprock integrity. Cavern wells at Bryan Mound have been subject to a host of well integrity concerns with many likely compromised by the cavernous caprock, surrounding corrosive environment (H2SO4), and associated elevated residual temperatures all of which are a product of the mining activities. The intent of this study was to understand the sulphur mining process and how the mining has affected the stability of the caprock and how the compromised caprock has influenced the integrity of the cavern wells. After an extensive search to collect pertinent information through state agencies, literature searches, and the Sandia SPR library, a better understanding of the caprock can be inferred from the knowledge gained. Specifically, the discovery of the original ore reserve map goes a long way towards modeling caprock stability. In addition the gained knowledge of sulphur mining – subsidence, superheated corrosive waters, and caprock collapse - helps to better predict the post mining effects on wellbore integrity.

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TYPE SAND Report YEAR 2015
DOIOSTI

Determining Reduced Order Models for Optimal Stochastic Reduced Order Models

Bonney, Matthew S.; Brake, M.R.W.

The use of parameterized reduced order models(PROMs) within the stochastic reduced order model (SROM) framework is a logical progression for both methods. In this report, five different parameterized reduced order models are selected and critiqued against the other models along with truth model for the example of the Brake-Reuss beam. The models are: a Taylor series using finite difference, a proper orthogonal decomposition of the the output, a Craig-Bampton representation of the model, a method that uses Hyper-Dual numbers to determine the sensitivities, and a Meta-Model method that uses the Hyper-Dual results and constructs a polynomial curve to better represent the output data. The methods are compared against a parameter sweep and a distribution propagation where the first four statistical moments are used as a comparison. Each method produces very accurate results with the Craig-Bampton reduction having the least accurate results. The models are also compared based on time requirements for the evaluation of each model where the Meta- Model requires the least amount of time for computation by a significant amount. Each of the five models provided accurate results in a reasonable time frame. The determination of which model to use is dependent on the availability of the high-fidelity model and how many evaluations can be performed. Analysis of the output distribution is examined by using a large Monte-Carlo simulation along with a reduced simulation using Latin Hypercube and the stochastic reduced order model sampling technique. Both techniques produced accurate results. The stochastic reduced order modeling technique produced less error when compared to an exhaustive sampling for the majority of methods.

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TYPE SAND Report YEAR 2015
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Chemically Etched Silicon Nanowires as Anodes for Lithium-Ion Batteries

Height, Hannah E.

This study focused on silicon as a high capacity replacement anode for Lithium-ion batteries. The challenge of silicon is that it expands ~270% upon lithium insertion which causes particles of silicon to fracture, causing the capacity to fade rapidly. To account for this expansion chemically etched silicon nanowires from the University of Maine were studied as anodes. They were built into electrochemical half-cells and cycled continuously to measure the capacity and capacity fade.

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TYPE Other Report YEAR 2015
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International scientific collaboration: the Gulf Nuclear Energy Infrastructure Institute

APS FIP Newsletter

Mohagheghi, Amir H.; Williams, Adam D.; Beeley, Phillip A.; Solodov, Alexander

The Gulf Nuclear Energy Infrastructure Institute (GNEII) was established collaboratively by Sandia National Laboratories, Texas A&M University, and the United Arab Emirates’ (UAE’s) Khalifa University of Science, Technology and Research in 2011 to provide a regional mechanism for developing responsible nuclear energy infrastructure. By combining education and research, GNEII helps increase knowledge and expertise about nuclear energy infrastructure—including safety, safeguards, and security—among Gulf and Middle East professionals working in regional nuclear-power programs. GNEII has been recognized by the White House as a major achievement in enhanced science and technology partnerships with the developing world.

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TYPE Journal Article YEAR 2015
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Results 46701–46800 of 99,299
Results 46701–46800 of 99,299