A POTENTIAL SUPPLY SYSTEM FOR URANIUM BASED UPON A CRUSTAL ABUNDANCE MODEL.

Persistent Link:
http://hdl.handle.net/10150/185271
Title:
A POTENTIAL SUPPLY SYSTEM FOR URANIUM BASED UPON A CRUSTAL ABUNDANCE MODEL.
Author:
CHAVEZ-MARTINEZ, MARIO LUIS.
Issue Date:
1982
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
The design of a computerized system for the estimation of uranium potential supply in the United States constitutes the primary objective of this dissertation. Once completed, this system performs for various levels of economic variables, such as prices, the estimation of potential uranium supply without requiring the appraisal by geologists, area by area, of undiscovered uranium endowment. The main components that form the system are explicit models of endowment, exploration, and production. These component models are derived from engineering and geological data, and together, they comprise the system. This system is unique in that it links physical attributes of endowment to time series of price and production. This linkage is made by simulating the activities of the U.S. uranium industry, activities (exploration, mine development, and production) that are involved in the transformation of endowment to potential supply. Uranium endowment is first generated by employing a crustal abundance model; a data file containing characteristics (tonnage, grade, depth, intra-deposit grade variation) of the discrete deposits that comprise the endowment is established by this model. An exploration model relates discoveries to exploration effect and deposit characteristics. Discovery yield for a given effort is linked to the relative "discoverability" of the deposits of the endowment as well as to the total exploration effort. An economic evaluation is performed on each discovery to determine whether or not the deposit can be developed and produced, given the stated level of the economic variables. The system then determines the magnitude of potential supply that could be forthcoming from all discoverable and exploitable deposits for the stated economic circumstances. Initially, the parameters of the system must be estimated. The approach employed for this estimation makes use of the time series information on uranium exploration and production activities. In essence, the system is used to simulate the past history of the U.S. uranium industry (period 1948-1978) and to generate industry statistics for these activities; the parameters selected are those values that cause the system to yield a time series that matches closely that which actually occurred.
Type:
text; Dissertation-Reproduction (electronic)
Keywords:
Uranium ores -- Computer programs.; Ores -- Sampling and estimation -- Computer programs.
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Mining and Geological Engineering Mineral Economics Program; Graduate College
Degree Grantor:
University of Arizona
Advisor:
Harris, DeVerle P.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleA POTENTIAL SUPPLY SYSTEM FOR URANIUM BASED UPON A CRUSTAL ABUNDANCE MODEL.en_US
dc.creatorCHAVEZ-MARTINEZ, MARIO LUIS.en_US
dc.contributor.authorCHAVEZ-MARTINEZ, MARIO LUIS.en_US
dc.date.issued1982en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThe design of a computerized system for the estimation of uranium potential supply in the United States constitutes the primary objective of this dissertation. Once completed, this system performs for various levels of economic variables, such as prices, the estimation of potential uranium supply without requiring the appraisal by geologists, area by area, of undiscovered uranium endowment. The main components that form the system are explicit models of endowment, exploration, and production. These component models are derived from engineering and geological data, and together, they comprise the system. This system is unique in that it links physical attributes of endowment to time series of price and production. This linkage is made by simulating the activities of the U.S. uranium industry, activities (exploration, mine development, and production) that are involved in the transformation of endowment to potential supply. Uranium endowment is first generated by employing a crustal abundance model; a data file containing characteristics (tonnage, grade, depth, intra-deposit grade variation) of the discrete deposits that comprise the endowment is established by this model. An exploration model relates discoveries to exploration effect and deposit characteristics. Discovery yield for a given effort is linked to the relative "discoverability" of the deposits of the endowment as well as to the total exploration effort. An economic evaluation is performed on each discovery to determine whether or not the deposit can be developed and produced, given the stated level of the economic variables. The system then determines the magnitude of potential supply that could be forthcoming from all discoverable and exploitable deposits for the stated economic circumstances. Initially, the parameters of the system must be estimated. The approach employed for this estimation makes use of the time series information on uranium exploration and production activities. In essence, the system is used to simulate the past history of the U.S. uranium industry (period 1948-1978) and to generate industry statistics for these activities; the parameters selected are those values that cause the system to yield a time series that matches closely that which actually occurred.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.subjectUranium ores -- Computer programs.en_US
dc.subjectOres -- Sampling and estimation -- Computer programs.en_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineMining and Geological Engineering Mineral Economics Programen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorHarris, DeVerle P.en_US
dc.contributor.committeememberRieber, Michaelen_US
dc.contributor.committeememberNewcomb, Richarden_US
dc.contributor.committeememberWade, James C.en_US
dc.contributor.committeememberFrank, Helmut T.en_US
dc.identifier.proquest8306450en_US
dc.identifier.oclc688223956en_US
All Items in UA Campus Repository are protected by copyright, with all rights reserved, unless otherwise indicated.