Black gold : A history of the role of Aboriginal people on the goldfields of Victoria, 1850-70
- Authors: Cahir, David (Fred)
- Date: 2006
- Type: Text , Thesis , PhD
- Full Text:
- Description: Reconstructs the history of Aboriginal people and gold mining in Victoria from 1850-1870.
- Description: Doctor of Philosophy
- Authors: Cahir, David (Fred)
- Date: 2006
- Type: Text , Thesis , PhD
- Full Text:
- Description: Reconstructs the history of Aboriginal people and gold mining in Victoria from 1850-1870.
- Description: Doctor of Philosophy
Managing risk and enhancing corporate sustainability in the Australian extractive sector : An exploratory study of leading mining and oil & gas firms in Australia
- Authors: Andeobu, Lynda
- Date: 2016
- Type: Text , Thesis , PhD
- Full Text:
- Description: Risk is an unavoidable issue in most activities of life, including business. Risk-management is increasingly a hot-button issue for stakeholders and the general public. As such, it is of rising importance in the high-risk extractive industries of mining and oil & gas. Specifically, risk-management can help firms reduce business failure-rates and enhance corporate sustainability. However, the integration of risk-management and corporate sustainability within planning, financing, and operations remains a key challenge for the sector. This research seeks to fill this gap by investigating and evaluating the current use of risk-management by extractive-sector firms to add value to stakeholders. Given that risk- management and its impact on corporate sustainability is enormous, this study will provide useful insights into the risk-management practices undertaken by extractive-sector firms in Australia and how cost-effective risk-management practices contribute to the overall enhancement of financial performance, stakeholder value and corporate sustainability of those firms. This study, after drawing data from Australia’s top 10 mining/metals firms and top 10 energy/utilities firms, uses: i) Questionnaires to give a background/context for the study, and ii) Interviews to further probe issues raised and gain a deeper understanding. The analysis in this study found that risk-management practices are: i) Perceived by management practices to contribute significantly to financial performance, stakeholder value and corporate sustainability of their firms ii) Very similar across mining firms and those in oil & gas, and iii) Too limited in application in the extractive-sector and should be extended beyond traditional hazards. Overall, it was found that risk-management systems appear to be comparable across Australia’s large mining firms and oil & gas firms. However, at a detailed level, these basic systems and structures of risk-management are adjusted and adapted to meet specific needs, corporate strategies, organisational objectives and environmental pressures. NOTE: At the request of the author, Chapters 2-12 and Appendix 7 have been removed.
- Description: Doctor of Philosophy
- Authors: Andeobu, Lynda
- Date: 2016
- Type: Text , Thesis , PhD
- Full Text:
- Description: Risk is an unavoidable issue in most activities of life, including business. Risk-management is increasingly a hot-button issue for stakeholders and the general public. As such, it is of rising importance in the high-risk extractive industries of mining and oil & gas. Specifically, risk-management can help firms reduce business failure-rates and enhance corporate sustainability. However, the integration of risk-management and corporate sustainability within planning, financing, and operations remains a key challenge for the sector. This research seeks to fill this gap by investigating and evaluating the current use of risk-management by extractive-sector firms to add value to stakeholders. Given that risk- management and its impact on corporate sustainability is enormous, this study will provide useful insights into the risk-management practices undertaken by extractive-sector firms in Australia and how cost-effective risk-management practices contribute to the overall enhancement of financial performance, stakeholder value and corporate sustainability of those firms. This study, after drawing data from Australia’s top 10 mining/metals firms and top 10 energy/utilities firms, uses: i) Questionnaires to give a background/context for the study, and ii) Interviews to further probe issues raised and gain a deeper understanding. The analysis in this study found that risk-management practices are: i) Perceived by management practices to contribute significantly to financial performance, stakeholder value and corporate sustainability of their firms ii) Very similar across mining firms and those in oil & gas, and iii) Too limited in application in the extractive-sector and should be extended beyond traditional hazards. Overall, it was found that risk-management systems appear to be comparable across Australia’s large mining firms and oil & gas firms. However, at a detailed level, these basic systems and structures of risk-management are adjusted and adapted to meet specific needs, corporate strategies, organisational objectives and environmental pressures. NOTE: At the request of the author, Chapters 2-12 and Appendix 7 have been removed.
- Description: Doctor of Philosophy
Mine evaluation optimisation
- Authors: Grigoryev, Igor
- Date: 2019
- Type: Text , Thesis , PhD
- Full Text:
- Description: The definition of a mineral resource during exploration is a fundamental part of lease evaluation, which establishes the fair market value of the entire asset being explored in the open market. Since exact prediction of grades between sampled points is not currently possible by conventional methods, an exact agreement between predicted and actual grades will nearly always contain some error. These errors affect the evaluation of resources so impacting on characterisation of risks, financial projections and decisions about whether it is necessary to carry on with the further phases or not. The knowledge about minerals below the surface, even when it is based upon extensive geophysical analysis and drilling, is often too fragmentary to indicate with assurance where to drill, how deep to drill and what can be expected. Thus, the exploration team knows only the density of the rock and the grade along the core. The purpose of this study is to improve the process of resource evaluation in the exploration stage by increasing prediction accuracy and making an alternative assessment about the spatial characteristics of gold mineralisation. There is significant industrial interest in finding alternatives which may speed up the drilling phase, identify anomalies, worthwhile targets and help in establishing fair market value. Recent developments in nonconvex optimisation and high-dimensional statistics have led to the idea that some engineering problems such as predicting gold variability at the exploration stage can be solved with the application of clusterwise linear and penalised maximum likelihood regression techniques. This thesis attempts to solve the distribution of the mineralisation in the underlying geology using clusterwise linear regression and convex Least Absolute Shrinkage and Selection Operator (LASSO) techniques. The two presented optimisation techniques compute predictive solutions within a domain using physical data provided directly from drillholes. The decision-support techniques attempt a useful compromise between the traditional and recently introduced methods in optimisation and regression analysis that are developed to improve exploration targeting and to predict the gold occurrences at previously unsampled locations.
- Description: Doctor of Philosophy
- Authors: Grigoryev, Igor
- Date: 2019
- Type: Text , Thesis , PhD
- Full Text:
- Description: The definition of a mineral resource during exploration is a fundamental part of lease evaluation, which establishes the fair market value of the entire asset being explored in the open market. Since exact prediction of grades between sampled points is not currently possible by conventional methods, an exact agreement between predicted and actual grades will nearly always contain some error. These errors affect the evaluation of resources so impacting on characterisation of risks, financial projections and decisions about whether it is necessary to carry on with the further phases or not. The knowledge about minerals below the surface, even when it is based upon extensive geophysical analysis and drilling, is often too fragmentary to indicate with assurance where to drill, how deep to drill and what can be expected. Thus, the exploration team knows only the density of the rock and the grade along the core. The purpose of this study is to improve the process of resource evaluation in the exploration stage by increasing prediction accuracy and making an alternative assessment about the spatial characteristics of gold mineralisation. There is significant industrial interest in finding alternatives which may speed up the drilling phase, identify anomalies, worthwhile targets and help in establishing fair market value. Recent developments in nonconvex optimisation and high-dimensional statistics have led to the idea that some engineering problems such as predicting gold variability at the exploration stage can be solved with the application of clusterwise linear and penalised maximum likelihood regression techniques. This thesis attempts to solve the distribution of the mineralisation in the underlying geology using clusterwise linear regression and convex Least Absolute Shrinkage and Selection Operator (LASSO) techniques. The two presented optimisation techniques compute predictive solutions within a domain using physical data provided directly from drillholes. The decision-support techniques attempt a useful compromise between the traditional and recently introduced methods in optimisation and regression analysis that are developed to improve exploration targeting and to predict the gold occurrences at previously unsampled locations.
- Description: Doctor of Philosophy
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