Scalable and interactive visual computing in geosciences and reservoir engineering

Author:

Costa Sousa Mario1,Vital Brazil Emilio1,Sharlin Ehud1

Affiliation:

1. Interactive Reservoir Modelling, Visualization and Analytics Research Group, Department of Computer Science, University of Calgary, 2500 University Drive NW, ICT 602, Calgary, Alberta, Canada T2N 1N4

Abstract

AbstractVisual computing technologies enable more intuitive data modelling, visualization and analysis, facilitating these processes by real-time interactive visual interfaces. These technologies are essential for software in the oil and gas industry, allowing users to gain insights and actionable information when dealing with increasingly complex, multidisciplinary datasets and processes. In the context of the oil and gas industry, interactive visual computing should also scale well with the growing data size and other components of a data analytics pipeline. We present key problems and challenges motivating the research and development of scalable and interactive visual computing systems, followed by a classification of the most important research themes and related topics. Eleven case studies developed with the industry are also presented, highlighting the main cutting edge findings, limitations and achievements.

Publisher

Geological Society of London

Subject

Geology,Ocean Engineering,Water Science and Technology

Reference65 articles.

1. Abraham F. Celes W. (2009) Proceedings of the 9th Eurographics Conference on Parallel Graphics and Visualization (EG PGV'09) (Aire-la-Ville, Switzerland), Distributed visualization of complex black oil reservoir models (Eurographics Association), pp 87–94.

2. Akkiraju N. Edelsbrunner H. Facello M. Fu P. Mucke E. P. Varela C. (1995) Proceedings of the 1st International Computational Geometry Software Workshop (Minneapolis, MN, USA), Alpha shapes: definition and software, pp 63–66.

3. Amorim E. Vital Brazil E. Daniels J. II Joia P. Nonato L. G. Sousa M. C. (2012) IEEE Conference on Visual Analytics Science and Technology (VAST’12) (Washington, DC), iLAMP: Exploring high-dimensional spacing through backward multidimensional projection (IEEE Computer Society), pp 53–62.

4. Amorim E. Vital Brazil E. Nonato L. G. Samavati F. Sousa M. C. (2014) Proceedings of the 7th IEEE Pacific Visualization Symposium (PACIFICVIS'14) (Washington, DC), Multidimensional projection with radial basis function and control points selection (IEEE Computer Society), pp 209–216.

5. Amorim R. Vital Brazil E. Patel D. Sousa M. C. (2012a) Proceedings of the 9th International Symposium on Sketch-Based Interfaces and Modeling (SBIM’12) (Aire-la-Ville, Switzerland), Sketch modeling of seismic horizons from uncertainty (Eurographics Association), pp 1–10.

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