Applications of point cloud technology in geomechanical characterization, analysis and predictive modeling

J. Lyons-Baral, John M Kemeny

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Point cloud technology is now an indispensable tool in geological and geotechnical data collection, interpretation and analysis. Open pit and underground mines of all sizes are regularly collecting point cloud data as Laser Scanning (LiDAR) and Photogrammetry surveying devices have finally become affordable and the workflows fast and efficient. Past challenges of large data processing and manipulation are gone with recent technological advancements in computer hardware and software. These innovations reduce file sizes, ease rendering requirements and allow for the implementation of real-time 3D viewers and surface meshing tools. With its ability to remotely (safely), rapidly and accurately extract large quantities of georeferenced and 3D-oriented data, point cloud technology provides numerous applications to the geomechanical field. The list of uses is continuously growing, so this paper specifically focuses on digital outcrop modeling and digital terrain engineering.

Original languageEnglish (US)
Title of host publication2016 SME Annual Conference and Expo
Subtitle of host publicationThe Future for Mining in a Data-Driven World
PublisherSociety for Mining, Metallurgy and Exploration
Pages657-663
Number of pages7
ISBN (Electronic)9781510825659
StatePublished - 2016
Event2016 SME Annual Conference and Expo: The Future for Mining in a Data-Driven World - Phoenix, United States
Duration: Feb 21 2016Feb 24 2016

Other

Other2016 SME Annual Conference and Expo: The Future for Mining in a Data-Driven World
CountryUnited States
CityPhoenix
Period2/21/162/24/16

Fingerprint

Photogrammetry
Surveying
Computer hardware
modeling
Innovation
photogrammetry
Scanning
hardware
surveying
Lasers
outcrop
innovation
laser
software
engineering
analysis

ASJC Scopus subject areas

  • Geology
  • Geochemistry and Petrology
  • Geotechnical Engineering and Engineering Geology

Cite this

Lyons-Baral, J., & Kemeny, J. M. (2016). Applications of point cloud technology in geomechanical characterization, analysis and predictive modeling. In 2016 SME Annual Conference and Expo: The Future for Mining in a Data-Driven World (pp. 657-663). Society for Mining, Metallurgy and Exploration.

Applications of point cloud technology in geomechanical characterization, analysis and predictive modeling. / Lyons-Baral, J.; Kemeny, John M.

2016 SME Annual Conference and Expo: The Future for Mining in a Data-Driven World. Society for Mining, Metallurgy and Exploration, 2016. p. 657-663.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lyons-Baral, J & Kemeny, JM 2016, Applications of point cloud technology in geomechanical characterization, analysis and predictive modeling. in 2016 SME Annual Conference and Expo: The Future for Mining in a Data-Driven World. Society for Mining, Metallurgy and Exploration, pp. 657-663, 2016 SME Annual Conference and Expo: The Future for Mining in a Data-Driven World, Phoenix, United States, 2/21/16.
Lyons-Baral J, Kemeny JM. Applications of point cloud technology in geomechanical characterization, analysis and predictive modeling. In 2016 SME Annual Conference and Expo: The Future for Mining in a Data-Driven World. Society for Mining, Metallurgy and Exploration. 2016. p. 657-663
Lyons-Baral, J. ; Kemeny, John M. / Applications of point cloud technology in geomechanical characterization, analysis and predictive modeling. 2016 SME Annual Conference and Expo: The Future for Mining in a Data-Driven World. Society for Mining, Metallurgy and Exploration, 2016. pp. 657-663
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