Interactive geological visualization based on quadratic-surface distance query

Abstract. Seismic data visualization and analysis can help the domain experts, e.g., geologists and oil or gas exploration experts, to explore the distribution of petroleum or gas. It assists them to get a better understanding of stratigraphic structures and the distribution of the geological materials, e.g., underground flow path (UFP) and the contexts of UFPs (river delta, floodplain, slump fan, oil well, etc.). UFPs are one of the significant stratigraphic structures according to the domain experts, because they are closely related to the distribution and the migration of oil or gas. We design a quadratic-surface distance query scheme to explore UFPs and their contexts within a local region. First, it just needs to share parameters of quadratic surfaces to the rendering modules instead of all volume data or all subvolume data to conduct distance queries, and it is flexible to perform multiple complex logic operations through the quadratic surface-based queries. Second, it enables one to perform domain-specific interactions after distance queries such as the flexible switching of multiple display modes. Third, it enables one to perform local transfer function on different subvolumes different query results or their arbitrary combinations. We have evaluated the approach by comparing them with existing methods by performance evaluation and result evaluation. Results show that the proposed approach is capable of performing complex distance queries and fulfilling the domain-specific interactions getting better results and timing performance.

[1]  Arno Formella,et al.  Generalized Fisheye Views of Graphs , 1995, Graph Drawing.

[2]  Maria Petrou,et al.  Horizon picking in 3D seismic data volumes , 2004, Machine Vision and Applications.

[3]  Ivan Viola,et al.  Seismic volume visualization for horizon extraction , 2010, 2010 IEEE Pacific Visualization Symposium (PacificVis).

[4]  Gordon L. Kindlmann,et al.  Diderot: a Domain-Specific Language for Portable Parallel Scientific Visualization and Image Analysis , 2016, IEEE Transactions on Visualization and Computer Graphics.

[5]  Antonia Spanò,et al.  Data collection and management for stratigraphic analysis of upstanding structures , 2015, 2015 1st International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM).

[6]  Yuri Tsoglin A Domain-Specific Language for Language Processing , 2001 .

[7]  Michael Spann,et al.  Fault surface detection in 3-D seismic data , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[8]  Markus Hadwiger,et al.  Interactive seismic interpretation with piecewise global energy minimization , 2011, 2011 IEEE Pacific Visualization Symposium.

[9]  Mohamed A. Deriche,et al.  Automatic fault tracking across seismic volumes via tracking vectors , 2014, 2014 IEEE International Conference on Image Processing (ICIP).

[10]  Zhen Wang,et al.  Automatic fault surface detection by using 3D Hough transform , 2014 .

[11]  Kwan-Liu Ma,et al.  An intelligent system approach to higher-dimensional classification of volume data , 2005, IEEE Transactions on Visualization and Computer Graphics.

[12]  Bin Zhao,et al.  Interactive stratigraphic structure visualization for seismic data , 2018, J. Vis. Lang. Comput..

[13]  Xiaoru Yuan,et al.  WYSIWYG (What You See is What You Get) Volume Visualization , 2011, IEEE Transactions on Visualization and Computer Graphics.

[14]  Xiaoru Yuan,et al.  Local WYSIWYG volume visualization , 2013, 2013 IEEE Pacific Visualization Symposium (PacificVis).

[15]  Markus Hadwiger,et al.  ViSlang: A System for Interpreted Domain-Specific Languages for Scientific Visualization , 2014, IEEE Transactions on Visualization and Computer Graphics.

[16]  Hyungsuk Choi,et al.  Vivaldi: A Domain-Specific Language for Volume Processing and Visualization on Distributed Heterogeneous Systems , 2014, IEEE Transactions on Visualization and Computer Graphics.

[17]  Gaston Bejarano,et al.  PS Advances in Seismic Fault Interpretation Automation , 2005 .

[18]  Pere Brunet,et al.  Interactive visualization of medical volume models in mobile devices , 2012, Personal and Ubiquitous Computing.

[19]  Ross T. Whitaker,et al.  Interactive 3D seismic fault detection on the Graphics Hardware , 2006, VG@SIGGRAPH.

[20]  Michael S. Bahorich,et al.  3-D Seismic Discontinuity For Faults And Stratigraphic Features: The Coherence Cube , 1995 .

[21]  Thomas Ertl,et al.  Interactive Clipping Techniques for Texture-Based Volume Visualization and Volume Shading , 2003, IEEE Trans. Vis. Comput. Graph..

[22]  Niklas Elmqvist,et al.  A Taxonomy of 3D Occlusion Management for Visualization , 2008, IEEE Transactions on Visualization and Computer Graphics.

[23]  Yi-ying Chen,et al.  Application of visual prolog on stratigraphic correlation and connection , 2011, Proceedings of 2011 International Conference on Computer Science and Network Technology.

[24]  Arvind Satyanarayan,et al.  Vega-Lite: A Grammar of Interactive Graphics , 2018, IEEE Transactions on Visualization and Computer Graphics.

[25]  Marc Levoy,et al.  Display of surfaces from volume data , 1988, IEEE Computer Graphics and Applications.

[26]  Michael Spann,et al.  Automatic Fault Detection for 3D Seismic Data , 2003, DICTA.

[27]  Mohamed A. Deriche,et al.  Fault Detection Using Attention Models Based on Visual Saliency , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[28]  Xiaoru Yuan,et al.  Seismic structure extraction based on multi-scale sensitivity analysis , 2014, J. Vis..

[29]  Ghassan Al-Regib,et al.  Interactive Fault Extraction in 3-D Seismic Data Using the Hough Transform and Tracking Vectors , 2017, IEEE Transactions on Computational Imaging.