Extraction and Visual Analysis of Seismic Horizon Ensembles

Seismic interpretation is an important step in building subsurface models, which are needed to efficiently exploit fossil fuel reservoirs. However, seismic features are seldom unambiguous, resulting in a high degree of uncertainty in the extracted model. In this paper we present a novel system for the extraction, analysis, and visualization of ensemble data of seismic horizons. By parameterizing the cost function of a global optimization technique for seismic horizon extraction, we can create ensembles of surfaces describing each horizon, instead of just a single surface. Our system also provides the tools for a complete statistical analysis of these data. Additionally, we allow an interactive exploration of the parameter space to help finding optimal parameter settings for a given dataset.

[1]  Rüdiger Westermann,et al.  Visualizing the Positional and Geometrical Variability of Isosurfaces in Uncertain Scalar Fields , 2011, Comput. Graph. Forum.

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

[3]  Hans-Christian Hege,et al.  Probabilistic Marching Cubes , 2011, Comput. Graph. Forum.

[4]  Andrew Mercer,et al.  Noodles: A Tool for Visualization of Numerical Weather Model Ensemble Uncertainty , 2010, IEEE Transactions on Visualization and Computer Graphics.

[5]  Heidrun Schumann,et al.  The Visualization of Uncertain Data: Methods and Problems , 2006, SimVis.

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

[7]  Hans-Christian Hege,et al.  Positional Uncertainty of Isocontours: Condition Analysis and Probabilistic Measures , 2011, IEEE Transactions on Visualization and Computer Graphics.

[8]  Markus Hadwiger,et al.  SeiVis: An Interactive Visual Subsurface Modeling Application , 2012, IEEE Transactions on Visualization and Computer Graphics.

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

[10]  Chris R. Johnson,et al.  A Next Step: Visualizing Errors and Uncertainty , 2003, IEEE Computer Graphics and Applications.

[11]  Valerio Pascucci,et al.  Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data , 2009, 2009 IEEE International Conference on Data Mining Workshops.

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

[13]  Ross Brown.  Animated visual vibrations as an uncertainty visualisation technique , 2004, GRAPHITE '04.

[14]  Alex T. Pang,et al.  Approaches to uncertainty visualization , 1996, The Visual Computer.