2019
DOI: 10.1016/j.cageo.2018.10.006
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Assessing and visualizing uncertainty of 3D geological surfaces using level sets with stochastic motion

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Cited by 37 publications
(14 citation statements)
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“…In particular, VR has a significant potential in the field of earth sciences as it allows exploring inaccessible areas of the past, present, or future or existing remote areas not only by static objects such as videos and photos but also by processes reflecting their true dynamics (Halik & Smaczyński, 2018;Havenith et al,, 2019;Lin et al, 2015). Data visualization and 3D modelling have been frequently studied in the field of earth sciences in recent years (Jones et al, 2009;Romañach et al, 2015;Yang & Wang, 2019;Yang et al, 2019). With the development and spread of HMD systems and relative fall in their prices, VR systems now allow visualizing, integrating, manipulating, and querying geospatial data through embodied experiences (Halik & Smaczyński, 2018;Huang & Chen, 2019;.…”
Section: Vr Applications In Earth Sciences Engineering Areasmentioning
confidence: 99%
“…In particular, VR has a significant potential in the field of earth sciences as it allows exploring inaccessible areas of the past, present, or future or existing remote areas not only by static objects such as videos and photos but also by processes reflecting their true dynamics (Halik & Smaczyński, 2018;Havenith et al,, 2019;Lin et al, 2015). Data visualization and 3D modelling have been frequently studied in the field of earth sciences in recent years (Jones et al, 2009;Romañach et al, 2015;Yang & Wang, 2019;Yang et al, 2019). With the development and spread of HMD systems and relative fall in their prices, VR systems now allow visualizing, integrating, manipulating, and querying geospatial data through embodied experiences (Halik & Smaczyński, 2018;Huang & Chen, 2019;.…”
Section: Vr Applications In Earth Sciences Engineering Areasmentioning
confidence: 99%
“…The second approach, implicit surface representation, uses isovalues of one or several scalar fields in 3D space to represent the geometry of geological surfaces (e.g. stratigraphic horizons and fault surfaces) (Jessell, 1981;Calcagno et al, 2008;Caumon et al, 2013;Cowan et al, 2003;Frank et al, 2007;Hillier et al, 2014;Lajaunie et al, 1997;Mallet, 2002Mallet, , 2014Maxelon et al, 2009;Moyen et al, 2004;Yang et al, 2019;Renaudeau et al, 2019;Manchuk and Deutsch, 2019;Gonçalves et al, 2017;De La Varga et al, 2019). The value of the scalar field represents the distance away from a reference horizon.…”
Section: Surface Representationmentioning
confidence: 99%
“…These interpolation methods mean models can be created with less bias and are more reproducible. Implicit methods also make it possible to generate a set of model realisations reflecting geological uncertainty (Manchuk and Deutsch, 2019;Cherpeau et al, 2010;Henrion et al, 2010;Wellmann et al, 2010;Lindsay et al, 2012;Yang et al, 2019).…”
Section: Surface Representationmentioning
confidence: 99%
“…The potential advantages of visualization form the conditions for the use of visualization tools in solving urgent problems in many areas of human activity: medicine, technology, economics, law, etc. Controlled performance visualization tools are widely used as an applied tool for scientific research [15][16][17][18][19][20][21][22][23].…”
Section: Introductionmentioning
confidence: 99%