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Record W3125165607 · doi:10.48336/k12c-dq48

Investigating modelling and inversion techniques for overburden stripping for uranium exploration in the Athabasca Basin, Canada

2020· dissertation· en· W3125165607 on OpenAlexaffabout
Mehrdad Darijani

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2020
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsOverburdenGeologyStructural basinInversion (geology)UraniumSeismic refractionGeophysicsMining engineeringGeomorphology

Abstract

fetched live from OpenAlex

The major investment in exploration for uranium in Canada is in one of the most important structural corridors of the eastern Athabasca Basin, extending from the Millennium deposit to the McArthur River deposit (called the McArthur-Millennium corridor). This corridor hosts the largest and highest-grade uranium deposits in the world (at a depth of more than 500 m), and it will be the focus of exploration activity by companies (e.g., Cameco) in the Athabasca Basin for many years. In the McArthur-Millennium corridor, people have wondered about how to better detect structures (e.g., alteration zones) associated with the (volumetrically) small uranium mineralization at depth using geophysical methods. But the geophysical responses (e.g., the gravity response) of these structures can be masked by the variation of the overburden thicknesses. Some geophysical attempts have been made to remove the overburden signature and to find the alteration zones, but none of them have got very far. To solve this problem, I investigate developing new methodology as well as new exploration methods in the region to find and remove the overburden signature to explore for new deposits. In this dissertation, I investigate new ways to separate the overburden contribution from geophysical data (via modelling and inversion) so that deeper targets (e.g. an alteration zone) can be detected and delineated by means of an innovative application of new, modern, state-of-the-art modelling and (constrained and joint) inversion of geophysical methods such as seismic refraction, gravity, magnetic and electromagnetic methods. These new methods and investigations (e.g., modelling and constrained joint inversions using the fuzzy c-mean method on tetrahedral meshes) bring us much closer to solving the problem in this corridor. This research project is a part of the CMIC Footprints project, and is a very challenging exploration problem and very useful if successful for many places in Canada, not just the Athabasca Basin and uranium exploration. The Athabasca Basin is a Proterozoic sedimentary basin which supplies around 20% of the world's uranium. The uranium deposits are surrounded by alteration zones near the unconformity between Proterozoic sedimentary rocks and the Archean and Aphebian metamorphic basement. The sedimentary rocks are covered by Quaternary glacial deposits. Because of the small size of uranium deposits and their location at depth, geophysical methods look for structures which host the uranium deposits, for example, electromagnetic (EM) methods can locate graphitic faults. The gravity method can potentially detect the alteration zones. The seismic method can image the unconformity and basement faults. And, magnetic data can delineate basement structures. The benefit of using multiple datatypes can provide complementary information (e.g. the seismic and gravity). These methods can be used for the overburden stripping as well. In the Athabasca Basin, overburden can be conductive while density and seismic velocity of the overburden is less than the sandstone. Some rocks in unconsolidated glacial deposits have magnetic susceptibilities (e.g. granite), whereas sandstone is non-magnetic. Based on these features, the synthetic modelling and inversion of the geophysical data are performed for (mainly) the overburden characterization as well as reconstructing the geological structure in depth. Magnetic, gravity, first-arrival seismic traveltimes and time- and frequency-domain electromagnetic data are synthetized using forward modelling of 2D and 3D models. For inversion methods, independent, joint and constrained methods are applied for 1D, 2D and 3D cases. Independent inversions of the seismic refraction data as well as the electromagnetic data are useful methods for reconstructing the base of the overburden, unlike the independent inversions of gravity and magnetic data. The joint inversion of gravity and seismic refraction data is able well to reconstruct the variable thickness of the overburden better and sharper than the independent inversions. After applying the thickness of the overburden (obtained from the joint inversion) in the constrained independent inversion of gravity data, the location of alteration zone is apparent at depths. The joint inversion of magnetic and gravity data was able to reconstruct the basement blocks, the sandstone and the unconformity; furthermore the base of overburden can be detected after using the constrained joint inversion of magnetic and gravity methods. This method cannot show the alteration zone, but it can show the intersection of the fault with the unconformity where the mineralization can occur. For the electromagnetic method, results show that frequency and time-domain methods can be used for determining the location of the interface between overburden and sandstone and the location of the graphitic faults, respectively.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.469
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.248
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2020
Admission routes2
Has abstractyes

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