This paper describes a mineral exploration project conducted by a junior mining company within a probabilistic framework. In particular, it shows how beliefs about a project can be updated in response to a series of new pieces of information about the project associated with exploration activities using subjective probabilities. Several alternative frameworks are briefly mentioned as ways to improve on this simplified model
Machine learning describes an array of computational and nested statistical methods whereby a comput...
The purpose of this review is to summarize briefly certain applications of probability theory and st...
Uncertainty is present in all aspects of mineral exploration, resource evaluation, feasibility studi...
This paper describes a mineral exploration project conducted by a junior mining company within a pro...
Exploration is a costly activity that helps a business improve their understanding of a potential mi...
Prospect evaluators are always concerned of the following two problems associated with a prospect: o...
Successful mineral exploration strategy requires identification of some of the risk sources and cons...
The exploratory phase of a hydrocarbon field is a period when decision-supporting information is sca...
Abstract This paper discusses the assessment methodology of geologic probabilities of success of dr...
Any forward-oriented enterprise must somehow manage the challenges posed by uncertainty and with its...
Mineral exploration is a risky business due to the inherent geological and economic uncertainties th...
Risk mapping processes in mine planning and ore recovery are constantly used in the mining industry ...
Uncertainty and risk are inherent features of investing in mineral exploration ventures. Investors r...
The construction of conceptual geological models is an essential task in petroleum exploration, espe...
Uncertainty and risk are inherent features of investing in mineral exploration ventures. Investors r...
Machine learning describes an array of computational and nested statistical methods whereby a comput...
The purpose of this review is to summarize briefly certain applications of probability theory and st...
Uncertainty is present in all aspects of mineral exploration, resource evaluation, feasibility studi...
This paper describes a mineral exploration project conducted by a junior mining company within a pro...
Exploration is a costly activity that helps a business improve their understanding of a potential mi...
Prospect evaluators are always concerned of the following two problems associated with a prospect: o...
Successful mineral exploration strategy requires identification of some of the risk sources and cons...
The exploratory phase of a hydrocarbon field is a period when decision-supporting information is sca...
Abstract This paper discusses the assessment methodology of geologic probabilities of success of dr...
Any forward-oriented enterprise must somehow manage the challenges posed by uncertainty and with its...
Mineral exploration is a risky business due to the inherent geological and economic uncertainties th...
Risk mapping processes in mine planning and ore recovery are constantly used in the mining industry ...
Uncertainty and risk are inherent features of investing in mineral exploration ventures. Investors r...
The construction of conceptual geological models is an essential task in petroleum exploration, espe...
Uncertainty and risk are inherent features of investing in mineral exploration ventures. Investors r...
Machine learning describes an array of computational and nested statistical methods whereby a comput...
The purpose of this review is to summarize briefly certain applications of probability theory and st...
Uncertainty is present in all aspects of mineral exploration, resource evaluation, feasibility studi...