The Seismic Analyzer: Interpreting and Illustrating 2D Seismic Data

Patel, Daniel; Giertsen, Christopher; Thurmond, John B.; Gjelberg, J.; Gr�ller, Eduard

doi:10.1109/tvcg.2008.170

Cited by 44 publications

(19 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Automatic horizon interpretation as preprocessing before rapid interpretation of 2D seismic slices has been proposed by Patel et al [21]. An extension of their technique into 3D would be difficult as their horizon analysis produces just a set of line segments for each 2D seismic slice.…”

Section: Related Workmentioning

confidence: 99%

Seismic volume visualization for horizon extraction

Patel

Brückner

Viola

et al. 2010

2010 IEEE Pacific Visualization Symposium (PacificVis)

View full text Add to dashboard Cite

Seismic horizons indicate change in rock properties and are central in geoscience interpretation. Traditional interpretation systems involve time consuming and repetitive manual volumetric seeding for horizon growing. We present a novel system for rapidly interpreting and visualizing seismic volumetric data. First we extract horizon surface-parts by preprocessing the seismic data. Then during interaction the user can assemble in realtime the horizon parts into horizons. Traditional interpretation systems use gradient-based illumination models in the rendering of the seismic volume and polygon rendering of horizon surfaces. We employ realtime gradientfree forward-scattering in the rendering of seismic volumes yielding results similar to high-quality global illumination. We use an implicit surface representation of horizons allowing for a seamless integration of horizon rendering and volume rendering. We present a collection of novel techniques constituting an interpretation and visualization system highly tailored to seismic data interpretation.

show abstract

Section: Related Workmentioning

confidence: 99%

Seismic volume visualization for horizon extraction

Patel

Brückner

Viola

et al. 2010

2010 IEEE Pacific Visualization Symposium (PacificVis)

View full text Add to dashboard Cite

show abstract

“…Wolfe et al [25] presented a visualization system for examining the seismic volume data generated from ultrasound reflections, looking for high-amplitude seismic events through a synoptic view of the interior. Tools were developed for interpreting and illustrating 2D slices of seismic volumetric reflection data [16]. Nayak et al [14] used 3D glyphs, graphics primitives or symbols with various geometric and color attributes, to represent the measured seismic data.…”

Section: Visualization Of Field-measured Seismic Datamentioning

confidence: 99%

“…A major energy release was defined as an event that emerged at the surface in an area of nearly 10 km in radius with accelerations of 350 gal and larger. They pointed out that major energy releases happened at 11,14,15,16,18,19,20,21,23,27,29,30,32,34,43, and 50 seconds from origin time. Some of the major energy releases were from adjacent active faults triggered by the bursts of extensive energy releases of the mainshock.…”

Section: Visualization Of Field-measured Seismic Datamentioning

confidence: 99%

Visualizing field-measured seismic data

Hsieh

Chen

2010

2010 IEEE Pacific Visualization Symposium (PacificVis)

View full text Add to dashboard Cite

This paper presents visualization of field-measured, time-varying multidimensional earthquake accelerograph readings. Direct volume rendering is used to depict the space-time relationships of seismic readings collected from sensor stations in an intuitive way such that the progress of seismic wave propagation of an earthquake event can be directly observed. The resulting visualization reveals the sequence of seismic wave initiation, propagation, attenuation over time, and energy releasing events. We provide a case study on the magnitude scale M w 7.6 Chi-Chi earthquake in Taiwan, which is the most thoroughly recorded earthquake event ever in the history. More than 400 stations recorded this event, and the readings from this event increased global strong-motion records five folds. Each station measured east-west, north-south, and vertical component of acceleration for approximately 90 seconds. The sensor network released the initial raw data within minutes after the ChiChi mainshock. It is essential to have a visualization system for fast data exploring and analyzing, offering crucial visual analytical information for scientists to make quick judgments. Raw data requires preprocessing before it can be rendered. We generated a sequence of ground-motion wave-field maps of 350 × 200 regular grid covers the entire Taiwan island from the sensor network readings. The result is a total of 1000 ground-motion wave-field maps with 0.1 second interval, forming a 1000 × 350 × 200 volume data set. We show that visualizing the time-varying component of the data spatially uncovers the changing features hidden in the data.

show abstract

“…Wolfe et al visualized the seismic volume data generated from ultrasound reflections [31]. Patel et al developed the Seismic Analyzer for interpreting and illustrating 2D seismic data [26].…”

Section: Related Workmentioning

confidence: 99%

Scalable Multi-variate Analytics of Seismic and Satellite-based Observational Data

Yuan

Guo

et al. 2010

IEEE Trans. Visual. Comput. Graphics

View full text Add to dashboard Cite

Fig. 1. Seismic and satellite-based observational data are visualized by our scalable multi-variate visualization system in a tiled display wall visualization environment with 32 LCD panels. Abstract-Over the past few years, large human populations around the world have been affected by an increase in significant seismic activities. Both for conducting basic scientific research and for setting critical government policies, it is crucial to be able to explore and understand seismic and geographical information obtained through all scientific instruments. In this work, we present a visual analytics system that enables explorative visualization of seismic data together with satellite-based observational data, and introduce a suite of visual analytical tools. Seismic and satellite data are integrated temporally and spatially. Users can select temporal and spatial ranges to zoom in on specific seismic events, as well as to inspect changes both during and after the events. Tools for designing high dimensional transfer functions have been developed to enable efficient and intuitive comprehension of the multi-modal data. Spreadsheet style comparisons are used for data drill-down as well as presentation. Comparisons between distinct seismic events are also provided for characterizing event-wise differences. Our system has been designed for scalability in terms of data size, complexity (i.e. number of modalities), and varying form factors of display environments.

show abstract

The Seismic Analyzer: Interpreting and Illustrating 2D Seismic Data

Cited by 44 publications

References 10 publications

Seismic volume visualization for horizon extraction

Seismic volume visualization for horizon extraction

Visualizing field-measured seismic data

Scalable Multi-variate Analytics of Seismic and Satellite-based Observational Data

Contact Info

Product

Resources

About