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Interactive data processing and 3D v...

Patel, Daniel.

Interactive data processing and 3D visualization of the solid earth

Record Type:	Electronic resources : Monograph/item
Title/Author:	Interactive data processing and 3D visualization of the solid earthedited by Daniel Patel.
other author:	Patel, Daniel.
Published:	Cham :Springer International Publishing :2021.
Description:	1 online resource (x, 355 p.) :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Earth sciencesRemote sensing.
Online resource:	https://doi.org/10.1007/978-3-030-90716-7
ISBN:	9783030907167$q(electronic bk.)

Interactive data processing and 3D visualization of the solid earth
Interactive data processing and 3D visualization of the solid earth[electronic resource] /edited by Daniel Patel. - Cham :Springer International Publishing :2021. - 1 online resource (x, 355 p.) :ill., digital ;24 cm.

Modeling Terrains and Subsurface Geology -- Real-Time Algorithms for Visualizing and Processing Seismic and Reservoir Data -- Overview of Seismic Attributes and Seismic Object Extraction -- Using Interactive Visualization and Machine Learning for Seismic Interpretation -- Multimodal Summed Area Tables - A Proof of Concept -- Visualization of Large Scale Reservoir Models -- When Visualization and Virtual Reality made a Paradigm Shift in Oil & Gas -- Evolution of VR Software and Hardware for Explosion and Fire Safety Assesment and Training -- Groupware for Research on Subsurface CO2 Storage -- Subsurface Evaluation through Multi-Scenario Reasoning.

This book presents works detailing the application of processing and visualization techniques for analyzing the Earth's subsurface. The topic of the book is interactive data processing and interactive 3D visualization techniques used on subsurface data. Interactive processing of data combined with interactive visualization is a powerful combination which have in the recent years become possible due to hardware and algorithm developments. The combination enables the user to perform interactive exploration and filtering of datasets while simultaneously visualizing the results so that insights can be made immediately. This makes it possible to quickly form hypotheses and draw conclusions. Case studies from the geosciences are not as often presented in the scientific visualization and computer graphics community as e.g., studies on medical, biological or chemical data. This book will give researchers in the field of visualization and computer graphics valuable insight into the open visualization challenges in the geosciences, and how certain problems are currently solved using domain specific processing and visualization techniques. Conversely, readers from the geosciences will gain valuable insight into relevant visualization and interactive processing techniques. Subsurface data has interesting characteristics such as its solid nature, large range of scales and high degree of uncertainty, which makes it challenging to visualize with standard methods. It is also noteworthy that parallel fields of research have taken place in geosciences and in computer graphics, with different terminology when it comes to representing geometry, describing terrains, interpolating data and (example-based) synthesis of data. The domains covered in the book are geology, digital terrains, seismic data, reservoir visualization and CO2 storage. The technologies covered within these topics are 3D visualization, visualization of large datasets. 3D modelling, machine learning, virtual reality, seismic interpretation and multidisciplinary collaboration. People within any of these domains and technologies are potential readers of the book.

ISBN: 9783030907167$q(electronic bk.)

Standard No.: 10.1007/978-3-030-90716-7doiSubjects--Topical Terms:

225093
Earth sciences
--Remote sensing.

LC Class. No.: QE33.2.R4 / I57 2021

Dewey Class. No.: 550.285

Interactive data processing and 3D visualization of the solid earth
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505 0 $a Modeling Terrains and Subsurface Geology -- Real-Time Algorithms for Visualizing and Processing Seismic and Reservoir Data -- Overview of Seismic Attributes and Seismic Object Extraction -- Using Interactive Visualization and Machine Learning for Seismic Interpretation -- Multimodal Summed Area Tables - A Proof of Concept -- Visualization of Large Scale Reservoir Models -- When Visualization and Virtual Reality made a Paradigm Shift in Oil & Gas -- Evolution of VR Software and Hardware for Explosion and Fire Safety Assesment and Training -- Groupware for Research on Subsurface CO2 Storage -- Subsurface Evaluation through Multi-Scenario Reasoning.
520 $a This book presents works detailing the application of processing and visualization techniques for analyzing the Earth's subsurface. The topic of the book is interactive data processing and interactive 3D visualization techniques used on subsurface data. Interactive processing of data combined with interactive visualization is a powerful combination which have in the recent years become possible due to hardware and algorithm developments. The combination enables the user to perform interactive exploration and filtering of datasets while simultaneously visualizing the results so that insights can be made immediately. This makes it possible to quickly form hypotheses and draw conclusions. Case studies from the geosciences are not as often presented in the scientific visualization and computer graphics community as e.g., studies on medical, biological or chemical data. This book will give researchers in the field of visualization and computer graphics valuable insight into the open visualization challenges in the geosciences, and how certain problems are currently solved using domain specific processing and visualization techniques. Conversely, readers from the geosciences will gain valuable insight into relevant visualization and interactive processing techniques. Subsurface data has interesting characteristics such as its solid nature, large range of scales and high degree of uncertainty, which makes it challenging to visualize with standard methods. It is also noteworthy that parallel fields of research have taken place in geosciences and in computer graphics, with different terminology when it comes to representing geometry, describing terrains, interpolating data and (example-based) synthesis of data. The domains covered in the book are geology, digital terrains, seismic data, reservoir visualization and CO2 storage. The technologies covered within these topics are 3D visualization, visualization of large datasets. 3D modelling, machine learning, virtual reality, seismic interpretation and multidisciplinary collaboration. People within any of these domains and technologies are potential readers of the book.
650 0 $a Earth sciences $x Remote sensing. $3 225093
650 1 4 $a Computational Science and Engineering. $3 274685
650 2 4 $a User Interfaces and Human Computer Interaction. $3 274517
650 2 4 $a Data and Information Visualization. $3 913414
650 2 4 $a Computer Graphics. $3 274515
650 2 4 $a Automated Pattern Recognition. $3 913155
650 2 4 $a Computer Vision. $3 913138
700 1 $a Patel, Daniel. $3 913413
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856 4 0 $u https://doi.org/10.1007/978-3-030-90716-7
950 $a Mathematics and Statistics (SpringerNature-11649)