Interactive seismic interpretation with piecewise global energy minimization

Höllt, Thomas; Beyer, Johanna; Gschwantner, Fritz; Muigg, P.; Doleisch, Helmut; Heinemann, Gabor; Hadwiger, Markus

doi:10.1109/pacificvis.2011.5742373

Cited by 20 publications

(16 citation statements)

References 26 publications

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“…al. (Höllt et al, 2011). Also, we plan to provide more interactive functionalities available to users' interpretations of features.…”

Section: Discussionmentioning

confidence: 99%

“…This is a field that has received a great deal of attention in terms of research (e.g. (Plate et al, 2002;Castanie et al, 2005;Lin and Hall, 2007;Plate et al, 2007;Patel et al, 2009;Patel et al, 2010;Höllt et al, 2011)) as well as software development such as Avizo Earth (Visualization Sciences Group, 2013), GeoProbe (Halliburton-Landmark, 2013), and Petrel (Schlumberger, 2013). The data in this field is noisy and the features to be extracted have a very complex spatial structure owing to processes of buckling, folding and fracturing (Robein, 2010).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fine-Grained Provenance of Users’ Interpretations in a Collaborative Visualization Architecture

Al-Naser

Rasheed

Irving

et al. 2014

Proceedings of the 5th International Conference on Information Visualization Theory and Applications

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Abstract:In this paper, we address the interpretation of seismic imaging datasets from the oil and gas industry-a process that requires expert knowledge to identify features of interest. This is a subjective process as it is based on human expertise and thus it often results in multiple views and interpretations of a feature in a collaborative environment. Managing multi-user and multi-version interpretations, combined with version tracking, is challenging; this is supported by a recent survey that we present in this paper. We address this challenge via a data-centric visualization architecture, which combines the storage of the raw data with the storage of the interpretations produced by the visualization of features by multiple user sessions. Our architecture features a fine-grained data-oriented provenance, which is not available in current methods for visual analysis of seismic data. We present case studies that present the use of our system by geoscientists to illustrate its ability to reproduce users' inputs and amendments to the interpretations of others and the ability to retrace the history of changes to a visual feature.

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“…al. (Höllt et al, 2011). Also, we plan to provide more interactive functionalities available to users' interpretations of features.…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fine-Grained Provenance of Users’ Interpretations in a Collaborative Visualization Architecture

Al-Naser

Rasheed

Irving

et al. 2014

Proceedings of the 5th International Conference on Information Visualization Theory and Applications

View full text Add to dashboard Cite

show abstract

“…Many visual analytic systems and visualization techniques applied to reservoir geoscience and engineering have been developed through the recent years [4][5][6][7]. Although these tools assist people in their decision making process, there is still lack of visual analytic systems of geophysical data in the microseismic domain.…”

Section: Related Workmentioning

confidence: 99%

FractVis: Visualizing Microseismic Events

Mostafa

Carpendale

Brazil

et al. 2013

Advances in Visual Computing

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Abstract. We present our efforts of applying information visualization techniques to the domain of microseismic monitoring. Microseismic monitoring is a crucial process for a number of tasks related to oil and gas reservoir development, e.g., optimizing hydraulic fracturing operations and heavy-oil stimulation. Microseismic data has many challenging features including high dimensionality and uncertainty. We present a brief introduction to the domain of microseismic monitoring, and derive a set of tasks and data abstractions that can establish common ground between microseismic monitoring domain experts and visualization researchers. We then present FractVis, a prototype for visual analysis of microseismic data, describing the ongoing process of iteratively refining FractVis through close collaboration and consultation with domain experts. FractVis is designed to offer microseismic monitoring experts with visual analytic tools that allow investigation of the 3D spatial distribution of microseismic events, time-varying analysis and interactive exploration of high-dimensional parameter spaces, extensively complementing the existing tools in their disposal.

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“…This is a field that has received a great deal of attention in terms of research (e.g. [2]- [6]) as well as software development such as Avizo Earth [7], GeoProbe [8] and Petrel [9]. The data in this field is noisy and the features to be extracted have a very complex spatial structure owing to processes of buckling, folding and fracturing [1].…”

Section: Introductionmentioning

confidence: 99%

A Visualization Architecture for Collaborative Analytical and Data Provenance Activities

Al-Naser

Rasheed

Irving

et al. 2013

2013 17th International Conference on Information Visualisation

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Abstract-When exploring noisy or visually complex data, such as seismic data from the oil and gas industry, it is often the case that algorithms cannot completely identify features of interest. Human intuition must complete the process. Given the nature of intuition, this can be a source of differing interpretations depending on the human expert; thus we do not have a single feature but multiple views of a feature. Managing multi-user and multi-version interpretations, combined with version tracking, is challenging as these interpretations are often stored as geometric objects separately from the raw data and possibly in different local machines. In this paper we combine the storage of the raw data with the storage of the interpretations produced by the visualization of features by multiple user sessions. We present case studies that illustrate our system's ability to reproduce users' amendments to the interpretations of others and the ability to retrace the history of amendments to a visual feature.

show abstract

Interactive seismic interpretation with piecewise global energy minimization

Cited by 20 publications

References 26 publications

Fine-Grained Provenance of Users’ Interpretations in a Collaborative Visualization Architecture

Fine-Grained Provenance of Users’ Interpretations in a Collaborative Visualization Architecture

FractVis: Visualizing Microseismic Events

A Visualization Architecture for Collaborative Analytical and Data Provenance Activities

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