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Title
Interactive data processing and 3D visualization of the solid earth / Daniel Patel, editor.
ISBN
9783030907167 (electronic bk.)
3030907163 (electronic bk.)
3030907155
9783030907150
Imprint
Cham, Switzerland : Springer, 2021.
Language
English
Description
1 online resource
Other Standard Identifiers
10.1007/978-3-030-90716-7 doi
Call Number
QE33.2.R4
Dewey Decimal Classification
550.285
Summary
This book presents works detailing the application of processing and visualization techniques for analyzing the Earths 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.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 9, 2022).
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 Assessment and Training
Groupware for Research on Subsurface CO2 Storage
Subsurface Evaluation through Multi-Scenario Reasoning.
