國立虎尾科技大學 |

Efficient Greenfield Mineral Exploration.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Efficient Greenfield Mineral Exploration./
作者:	Hall, Tyler.
面頁冊數:	1 online resource (123 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-06, Section: B.
Contained By:	Dissertations Abstracts International85-06B.
標題:	Geology. -
電子資源:	click for full text (PQDT)
ISBN:	9798380864572

Efficient Greenfield Mineral Exploration.
Hall, Tyler.

Efficient Greenfield Mineral Exploration. - 1 online resource (123 pages)

Source: Dissertations Abstracts International, Volume: 85-06, Section: B.

Thesis (Ph.D.)--Stanford University, 2023.

Includes bibliographical references

A growing population will require more metal in order to sustainably build a high quality of life. However, there have been fewer discoveries of mineral deposits due to constrained exploration budgets and confounding geology. There are few practical tools for decision-support in greenfield mineral exploration. This dissertation focuses on developing and testing methods for increasing the efficiency of mineral exploration, with a focus on optimal planning of boreholes. The global context of mineral supply and an overview for mineral exploration is provided in Chapter 1. The necessary elements for modelling decision-making problems are defined and formulations are explained in the context of mineral exploration. Reward functions such as those based on hypothesis falsification or efficacy of information are demonstrated on illustrative cases. High dimensional optimization problems, such as those in the subsurface, are oftentimes intractable. To address this issue, approximations are introduced and demonstrated. Chapter 3 presents a decision-making problem on a real case in Western Australia, formulated as a partially-observable Markov decision process (POMDP) and solved using Monte Carlo tree search (MCTS) with a belief-based reward function. Belief-based rewards are demonstrated to be more performant than the state-of-the-art solvers, and a sensitivity analysis of performance to the belief-based reward is performed. Furthermore, a sensitivity analysis of the optimal plan to a decision-maker's input preference demonstrates how the optimal first decision changes based on a volume threshold. Chapter 4 formulates greenfield exploration drilling using sequential value-of-information, and shows that the selection of a first borehole changes if the decision-maker directly encodes the option of continuing to a second borehole. Discussion of future research directions conclude the dissertation.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798380864572Subjects--Topical Terms:

670379
Geology.
Subjects--Index Terms:

MetalIndex Terms--Genre/Form:

554714
Electronic books.

Efficient Greenfield Mineral Exploration.
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