Perception of visual information: the role of colour in seismic interpretation

Froner, Barbara; Purves, Sherrill; Lowell, James; Henderson, Joseph L.

doi:10.3997/1365-2397.2013010

Cited by 20 publications

(9 citation statements)

References 10 publications

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“…Even though vertical and lateral seismic resolutions are important, the color resolution and how we perceive colors add significant value to our interpretation (Froner et al, 2013). The nonlinearity of the human vis- ual system leads to the possibility of interpretations being based not on actual features that are present in the data but on illusions created by false perceptions.…”

Section: Visualization and Corenderingmentioning

confidence: 99%

“…The nonlinearity of the human vis- ual system leads to the possibility of interpretations being based not on actual features that are present in the data but on illusions created by false perceptions. To avoid this, new techniques have been introduced to visualize information in a way that is perceptually in tune with the human visual system (Stark, 2006;Froner et al, 2013). Furthermore, these techniques enable us to use explicit encoding to represent and simultaneously analyze different pieces of information and their relationship (Paton and Henderson, 2015).…”

Section: Visualization and Corenderingmentioning

confidence: 99%

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Characterizing carbonate facies using high-definition frequency decomposition: Case study from North West Australia

Almaghlouth

Szafián²,

Bell

2017

Interpretation

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Carbonate facies identification is difficult using conventional seismic attributes due to subtle lithologic changes that cannot be easily recognized. Therefore, there is a need to develop new methodologies to study their evolution and their associated sedimentary processes, which will eventually lead to better prediction for reservoir-quality rocks. New insights into the Cenozoic carbonates in North West Australia have been captured with the application of a high-definition seismic attribute workflow. The workflow starts with conditioning of the seismic volume using structurally oriented noise attenuation filters to remove any random and coherent noise from the input data. It also benefits from a high-definition frequency decomposition that matches the original seismic resolution without smearing interfaces using a "matching pursuit" algorithm. A color blend of multigeometric attributes, such as semblance and conformance, has also been used in the workflow to define edges and discontinuities present in the data within carbonate deposits that are attributed to depositional geometries, such as barrier reefs. Our workflow has been developed to investigate the geomorphology and the sedimentary processes affecting Cenozoic successions in the Northern Carnarvon Basin in North West Australia. Geomorphological and sedimentological observations have been documented such as an Eocene rounded carbonate ramp with evidence of slump blocks and scarps, Middle Miocene accretions generated due to longshore drift, and the presence of Pliocene-Pleistocene patch and barrier reefs. These observations were extracted as geobodies to allow for visualization, and they can be used in an automated seismically based facies classification scheme. The new appreciations are not only useful for understanding the carbonate evolution but can also be used to identify geohazards such as slumps ahead of future drilling.

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Section: Visualization and Corenderingmentioning

confidence: 99%

Section: Visualization and Corenderingmentioning

confidence: 99%

Characterizing carbonate facies using high-definition frequency decomposition: Case study from North West Australia

Almaghlouth

Szafián²,

Bell

2017

Interpretation

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“…Finally, the analysis of geophysical data based on sounds can reduce the intrinsic limitations associated with color-based interpretation of seismic and other geophysical responses (Froner et al, 2013). Transforming geophysical signals into sounds include a process of spectral analysis and frequency decomposition of the geophysical data.…”

Section: Summary and Possible Developmentsmentioning

confidence: 99%

Listening to geophysics: Audio processing tools for geophysical data analysis and interpretation

Dell’Aversana

2013

The Leading Edge

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Sensitivity for music is a diffuse property of the human brain. When we listen to music, the entire brain is active. In particular, the auditory cortex has connections to the frontal lobe of the brain where many of our capabilities for abstraction and inference are located. A widely accepted idea (although it is unproven) is that humans have an inborn capacity to process music. David Huron highlighted the adaptive advantage of having a mind able to recognize sound patterns and to extract complex significances from a heterogeneous flux of sounds arriving from the environment (Huron, 1991). Probably our ability to recognize complex sound patterns is one of the results of natural evolution of humans' cognitive capabilities (Ball, 2010). These concepts suggest the following idea: we could use complex sounds (and music in particular), and not only images, for geophysical data analysis, interpretation, and integration. An advantage to this could derive from the fact that sounds have many physical, perceptive, psychological, and cultural “dimensions”: this implies an expanded range of possibilities for analyzing and interpreting geophysical signals transformed into sounds. […] Human sensitivity for music (and for sounds in general) is nowadays supported by advanced technology and by many formats and informatics' protocols used in digital music (such as wav, mp3, MIDI). These allow easy sound manipulation, analysis, and integration. In particular, the MIDI protocol links heterogeneous information through multiple types of media. There is an additional reason why geophysical data analysis/interpretation could be performed in the domain of sounds and music: the nature of several types of geophysical signals, like seismic data, is closer to the physics of sounds than to the physics of images. These ideas have been investigated (partially) by other authors (Benioff, 1953; Speeth, 1961; Hayward, 1994; Kilb et al., 2012; Peng et al., 2012). In this article, I expand them by proposing a new approach based on exploring new interesting connections between geosciences and the most recent technological innovations in the domain of digital music.

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“…Color always plays a key role in seismic attribute analysis, and it is a very powerful means used to represent data and give interpreter visual elaborations [7]. With the development of hardware capabilities, 3D visualization has become a core component of seismic interpretation workflows.…”

Section: Introductionmentioning

confidence: 99%

“…Volumetric perspective rendering is often carried out to delineate spatial 3D shapes for the geological objects if the color threshold can be appropriately set. References [6][7][8] have shown amazing and vivid effects for subsurface channel imaging in 3D visualization environment. Among the cases, images of channels are mostly characterized by using single seismic attribute.…”

Section: Introductionmentioning

confidence: 99%