Uncertainty in 3‐<scp>D</scp>Geological Models

Bianchi, Marco; Turner, A. Keith; Lark, Murray; Courrioux, Gabriel

doi:10.1002/9781119163091.ch15

Cited by 3 publications

(2 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, it should be noted that the geological and geophysical layers are subject to some degree of subjectivity and to possible cognitive biases, as they result from human decisions (e.g., the choice of a conceptual model of the mineral deposit) or from indirect, incomplete and imperfect information (e.g., geophysical inversion, or interpolated information due to incomplete spatial coverage), which raises the question of the confidence to place in these layers [79,80]. This is the reason why they are used in the prospective stage to propose the primary boreholes in and around the detected anomalies, and their weight is often reduced against existing drilling data when designing the layout of infill boreholes for detailed exploration.…”

Section: Discussionmentioning

confidence: 99%

A Multi-Objective Approach for Optimizing the Layout of Additional Boreholes in Mineral Exploration

Hossein-Morshedy,

Khorram,

Emery

2023

Minerals

View full text Add to dashboard Cite

Accurate subsurface exploration requires an optimal network of boreholes. This paper proposes a multi-objective approach to optimize the layout of additional exploratory boreholes. In order to illustrate this approach, geochemical analyses of core samples at the eastern part of the Kahang copper deposit, Central Iran, were used. A measure of the grade uncertainty (kriging standard deviation) and a confidence measure on the ore/waste classification were first calculated by implementing ordinary and indicator kriging. An ore value function was then determined to measure the total value of each block by considering the grades of all the effective variables and their ore membership degree derived from a fuzzy treatment of the grades. Finally, a misclassification cost is defined for each block based on the expected economic effects of ore loss and waste dilution. As a result, an index for the selection of additional boreholes was introduced in order to maximize the kriging standard deviation, the ore misclassification cost, and the ore value and to minimize the confidence measure. Applied to the Kahang copper deposit, this index allowed the prioritization of areas for infill sampling, leading to the recommendation for eight vertical and two directional additional boreholes.

show abstract

Section: Discussionmentioning

confidence: 99%

A Multi-Objective Approach for Optimizing the Layout of Additional Boreholes in Mineral Exploration

Hossein-Morshedy,

Khorram,

Emery

2023

Minerals

View full text Add to dashboard Cite

show abstract

“…Uncertainty is pertinent to the quantification, and visualization of 3D geodata. − Epistemic uncertainty arises from incomplete knowledge and can be reduced though new exploration, geological mapping, drilling, and sample analysis. , MB-consistent geological stock accounting presumes that the model’s system boundary (i.e., envelope of all 27 voxels in Figure ) remains fixed though time. This enables spatially explicit uncertainty attribution for every voxel to capture the evolution of knowledge over time (confidence intervals in Figure c).…”

Section: Geomodeling Of Materials Stocks and Flowsmentioning

confidence: 99%

Mass-Balance-Consistent Geological Stock Accounting: A New Approach toward Sustainable Management of Mineral Resources

Simoni,

Drielsma,

Ericsson

et al. 2024

Environ. Sci. Technol.

View full text Add to dashboard Cite

Global resource extraction raises concerns about environmental pressures and the security of mineral supply. Strategies to address these concerns depend on robust information on natural resource endowments, and on suitable methods to monitor and model their changes over time. However, current mineral resources and reserves reporting and accounting workflows are poorly suited for addressing mineral depletion or answering questions about the longterm sustainable supply. Our integrative review finds that the lack of a robust theoretical concept and framework for mass-balance (MB)consistent geological stock accounting hinders systematic industrygovernment data integration, resource governance, and strategy development. We evaluate the existing literature on geological stock accounting, identify shortcomings of current monitoring of mine production, and outline a conceptual framework for MB-consistent system integration based on material flow analysis (MFA). Our synthesis shows that recent developments in Earth observation, geoinformation management, and sustainability reporting act as catalysts that make MB-consistent geological stock accounting increasingly feasible. We propose first steps for its implementation and anticipate that our perspective as "resource realists" will facilitate the integration of geological and anthropogenic material systems, help secure future mineral supply, and support the global sustainability transition.

show abstract

Uncertainty assessment of 3D geological models based on spatial diffusion and merging model

2023

View full text Add to dashboard Cite

The geological model plays an important role in geophysics and engineering geology. The data source of geological modeling comes from interpretation data, borehole data, and outcrop data. Due to economic and technical limitations, it is impossible to obtain highly accurate and high-density data sources. The sparsity and inaccuracy of data sources lead to the uncertainty in geological models. Unlike the problem of probability, there is not enough samples for a geological model. Spatial diffusion model and merging model are introduced, which are more satisfied with the cognition of uncertainty than the existing methods. And then, using conditional information entropy, a quantification method of geological uncertainty, is proposed. Compared with the approaches of information entropy, this method took full account of the constraints of geological laws. Based on the uncertainty models and conditional information entropy, a framework of uncertainty assessment in geological models is established. It is not necessary in our framework to create multiple geological models, which is a time-consuming and laborious task. The application of Hashan survey located at north of China shows that the method and framework of this study are reasonable and effective.

show abstract

Uncertainty in 3‐DGeological Models

Cited by 3 publications

References 47 publications

A Multi-Objective Approach for Optimizing the Layout of Additional Boreholes in Mineral Exploration

A Multi-Objective Approach for Optimizing the Layout of Additional Boreholes in Mineral Exploration

Mass-Balance-Consistent Geological Stock Accounting: A New Approach toward Sustainable Management of Mineral Resources

Uncertainty assessment of 3D geological models based on spatial diffusion and merging model

Contact Info

Product

Resources

About