Angela Carter-McAuslan

Angela Carter-McAuslan
Memorial University of Newfoundland · Department of Earth Sciences

MS

About

22
Publications
3,159
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114
Citations
Introduction
I am currently working on developing a work flow for the use of self-organizing maps in the development of predictive geological maps from regional geophysical data sets. This includes investigating pre-processing methods for extracting information from individual data sets as well as post processing methods for evaluating the resultant predictive maps.
Additional affiliations
January 2013 - present
Memorial University of Newfoundland
Position
  • PhD Student
Description
  • Investing the use of self-organizing maps for the production of predictive geological maps of surface and basement geology.
September 2010 - present
Memorial University of Newfoundland
Position
  • Graduate Teaching Assistant
May 2010 - December 2012
Memorial University of Newfoundland
Position
  • Master's Student
Description
  • Testing a seismic tomography and gravity joint inversion code using realistic earth models.
Education
May 2010 - December 2012
Memorial University of Newfoundland
Field of study
  • Geophysics
September 2006 - April 2010
Laurentian University
Field of study
  • Geology
September 2004 - April 2008
Laurentian University
Field of study
  • Physics

Publications

Publications (22)
Article
Full-text available
Joint inversion, the inversion of multiple geophysical data sets containing complementary information about the subsurface, has the potential to significantly improve inversion results by reducing the nonuniqueness of the inverse problem. One of the challenges of joint inversion is deciding how to couple the multiple physical property models. If a...
Conference Paper
Full-text available
Geological mapping in remote areas or in areas with limited out crop exposure can be a challenging and expensive endeavour. The development of predictive pseudo-geological maps from remote sensing data which make an educated guess at the potential lithological distribution in a region may present a potential avenue by which these challenges could b...
Conference Paper
Full-text available
With increased data collection, extraction of useful information from large, often multi-dimensional (where each dimension is a unique data-type), datasets becomes a challenge. Associated with the problem of extracting usable information is the need to evaluate the information extracted to determine its validity. Traditionally, geophysical data has...
Article
Self-organizing maps (SOMs) are a type of unsupervised artificial neural networks clustering tool. SOMs are used to cluster large multi-variate datasets. They can identify patterns and trends in the geophysical maps of an area and generate proxy geology maps, known as remote predictive mapping. We applied SOMs to magnetic, radiometric and gravity d...
Article
The creation of 3D models is commonplace in many disciplines. Models are often built from a collection of tessellated surfaces. To apply numerical methods to such models it is often necessary to generate a mesh of space-filling elements that conforms to the model surfaces. While there are meshing algorithms that can do so, they place restrictive re...
Presentation
Full-text available
A presentation that I gave on a regression code designed to produce a textural index for incorporation into my SOM machine learning strategy. Given at the Geological Association of Canada Newfoundland branches annual meeting.
Conference Paper
Full-text available
Mapping basement geology under cover is becoming increasingly essential in our search for ever more difficult to find ore reserves. Traditionally interpretation of geophysical data has been the primary means for mapping undercover. We suggest that an unsupervised neural network algorithm called self-organizing maps (SOM) may be useful in the develo...
Poster
Full-text available
Introduction The extraction of usable information from large geoscience datasets has become a crucial issue as more and more data is collected by government surveys to encourage resource exploration. These multi-dimensional datasets present visualization and interpretation difficulties as common data interpretation and visualization methods work be...
Poster
Full-text available
The extraction of usable information from large multi–dimensional geoscience datasets has become a crucial issue as more and more data of different types are collected over the same area. Ideally interpretation of these large datasets should take into account all types of data during interpretation in order to produces the most coherent interpretat...
Poster
Full-text available
The extraction of usable information from large multi–dimensional geoscience datasets has become a crucial issue as more and more data of different types are collected over the same area. Ideally interpretation of these large datasets should take into account all types of data during interpretation in order to produces the most coherent interpretat...
Article
Full-text available
Gravity methods have long been used in mineral exploration. However, gravity methods have difficulty resolving small details. Seismic methods provide high resolving potential for use in mineral exploration. However, complicated hard-rock geology can make seismic data processing and interpretation difficult. By jointly inverting seismic tomography...
Conference Paper
Full-text available
Joint inversion is a type of inversion carried out for two different physical properties simultaneously. When a single Earth model is derived which fits different, complementary survey data that are sensitive to two physical properties it is more likely to be closer to the true subsurface structure than a single property inversion. A number of synt...
Article
Earth models used for mineral exploration or other subsurface investigations should be consistent with all available geological and geophysical information. Geophysical inversion provides the means to integrate geological information, geophysical survey data, and physical property measurements taken on rock samples. Incorporation of geological info...
Article
Full-text available
Three-dimensional geological Earth models typically comprise wireframe surfaces of connected triangles that represent geological contacts. In contrast, Earth models used by most current 3D geophysical numerical modeling and inversion methods are built on rectilinear meshes. This is because the mathematics for computing data responses are simpler on...

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Projects

Projects (2)
Project
Investigate the effectiveness of using a SOM algorithm to produce predictive pseudo-lithological maps from geophysical data. This work focuses on investigating the effects of including different data types and investigating possible avenues for evaluating the quality of the SOM results quantitatively.