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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Norm Warpinski, P.: Microseismic monitoring: Inside and out. Journal of Petroleum Tech. 61, 80–85 (2009)
Daku, B., Salt, J., Sha, L.: An algorithm for locating microseismic events. In: CCECE 2004, vol. 4, pp. 2311–2314 (2004)
Ulrich, Z.: Calculating stimulated reservoir volume (srv) with consideration of uncertainties in microseismic-event locations. In: CURC 2011. SPE International (2011)
Höllt, T., Beyer, J., Gschwantner, F., Muigg, P., Doleisch, H., Heinemann, G., Hadwiger, M.: Interactive seismic interpretation with piecewise global energy minimization. In: PacificVis 2011, pp. 59–66 (2011)
Patel, D., Bruckner, S., Viola, I., Groller, E.: Seismic volume visualization for horizon extraction. In: PacificVis 2010, pp. 73–80 (2010)
Dopkin, D., James, H.: Trends in visualization for e&p operations. First Break 24 (2006)
Rusby, R.I.: The future of visualization: Vision 2020. WorldOil 229 (2008)
Elmqvist, N., Dragicevic, P., Fekete, J.D.: Rolling the dice: Multidimensional visual exploration using scatterplot matrix navigation. TVCG 14, 1148–1539 (2008)
Elmqvist, N., Stasko, J., Tsigas, P.: Datameadow: A visual canvas for analysis of large-scale multivariate data. In: VAST 2007, pp. 187–194 (2007)
Inselberg, A., Dimsdale, B.: Parallel coordinates: a tool for visualizing multi-dimensional geometry. In: VIS 1990, pp. 361–378. IEEE (1990)
Heinrich, J., Weiskopf, D.: State of the art of parallel coordinates. In: Eurographics Association (ed.) STAR Proceedings of Eurographics 2013, pp. 95–116 (2013)
Martin, A.R., Ward, M.O.: High dimensional brushing for interactive exploration of multivariate data. In: VIS 1995, pp. 271–278. IEEE (1995)
Peng, W., Ward, M.O., Rundensteiner, E.A.: Clutter reduction in multi-dimensional data visualization using dimension reordering. In: INFOVIS 2004, pp. 89–96. IEEE (2004)
Steed, C., Swan, J., Jankun-Kelly, T., Fitzpatrick, P.: Guided analysis of hurricane trends using statistical processes integrated with interactive parallel coordinates. In: VAST 2009, pp. 19–26 (2009)
Yuan, X., Guo, P., Xiao, H., Zhou, H., Qu, H.: Scattering points in parallel coordinates. TVCG 15, 1001–1008 (2009)
Ward, M.: Xmdvtool: integrating multiple methods for visualizing multivariate data. In: Visualization 1994, pp. 326–333 (1994)
Siirtola, H., Räihä, K.J.: Discussion: Interacting with parallel coordinates. Interact. Comp. 18, 1278–1309 (2006)
Roberts, J.: State of the art: Coordinated multiple views in exploratory visualization. In: CMV 2007, pp. 61–71 (2007)
Bowman, I., Joshi, S., Van Horn, J.: Query-based coordinated multiple views with feature similarity space for visual analysis of mri repositories. In: VAST 2011, pp. 267–268 (2011)
Wang Baldonado, M.Q., Woodruff, A., Kuchinsky, A.: Guidelines for using multiple views in information visualization. In: AVI 2000, New York, pp. 110–119 (2000)
Andrienko, G., Andrienko, N.: Coordinated multiple views: a critical view. In: CMV 2007, pp. 72–74 (2007)
Holtzblatt, K., Jones, S.: Contextual inquiry: a participatory technique for system design, pp. 177–210. Lawrence Erlbaum Associates, Hillsdale (1993)
ESG Solutions hydraulic fracture mapping, https://www.esgsolutions.com/english/view.asp?x=741 (accessed: March 31, 2012)
Amorim, R., Boroumand, N., Vital Brazil, E., Hajizadeh, Y., Eaton, D., Costa Sousa, M.: Interactive sketch-based estimation of stimulated volume in unconventional reservoirs using microseismic data. In: Proceedings of 13th European Conference on the Mathematics of Oil Recovery, ECMOR XIII (2012)
Amar, R., Eagan, J., Stasko, J.: Low-level components of analytic activity in information visualization. In: INFOVIS 2005, pp. 111–117. IEEE (2005)
Borland, D., Taylor, R.: Rainbow color map (still) considered harmful. IEEE Comp. Graph. and Appl. 27, 14–17 (2007)
Bier, E.A., Stone, M.C., Pier, K., Buxton, W., DeRose, T.D.: Toolglass and magic lenses: the see-through interface. In: SIGGRAPH 1993, pp. 73–80 (1993)
Holten, D., Van Wijk, J.J.: Evaluation of cluster identification performance for different pcp variants. Computer Graphics Forum 29, 793–802 (2010)
Doleisch, H., Hauser, H.: Smooth brushing for focus+context visualization of simulation data in 3d. Journal of WSCG, 147–154 (2001)
Matkovic, K., Jelovic, M., Juric, J., Konyha, Z., Gracanin, D.: Interactive visual analysis and exploration of injection systems simulations. In: VIS 2005, pp. 391–398 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mostafa, A.E., Carpendale, S., Brazil, E.V., Eaton, D., Sharlin, E., Sousa, M.C. (2013). FractVis: Visualizing Microseismic Events. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2013. Lecture Notes in Computer Science, vol 8034. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41939-3_37
Download citation
DOI: https://doi.org/10.1007/978-3-642-41939-3_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41938-6
Online ISBN: 978-3-642-41939-3
eBook Packages: Computer ScienceComputer Science (R0)