Abstract
The exploration of geological composition, e.g. underground flow path, is a significant step for oil and gas search. However, to extract the structural geological composition from the volume, neither the classic volume exploration methods, e.g. transfer function design, nor the traditional volume cut algorithms can be directly used due to its three natural properties, various compositions, discontinuity and noise. In this paper, we present an interactive approach to visualize the structural geological composition with the assistance of multi-scale sensitivity of transfer function. We utilize a slice analyzer to interactively obtain the local transfer function for individual structural geological composition with a carefully designed light-weight transfer function interface guided by the multi-scale sensitivity, which can effectively help the users find the cut-off values of target composition. The final transfer function is shared to 3D volume texture on GPU, and then volume cut methods based on algebraic set operators are utilized to extract the corresponding geological composition in the volume.
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Amorim R, Brazil EV, Patel D, Sousa MC (2012) Sketch modeling of seismic horizons from uncertainty. In: Proceedings of the International Symposium on Sketch-based interfaces and modeling
Aziz IA, Mazelan NA, Samiha N, Mehat M (2008) 3-d seismic visualization using seg-y data format. In: International Symposium on Information Technology
Brecheisen R, Vilanova A, Platel B (2009) Parameter sensitivity visualization for dti fiber tracking. IEEE Trans Vis Comput Graph 15(6):1441–1448. doi:10.1109/TVCG.2009.170
Chan YH, Correa C, Ma KL (2010) Flow-based scatterplots for sensitivity analysis. In: IEEE Symposium on Visual Analytics Science and Technology, pp 43–50
Chan YH, Correa C, Ma KL (2013) The generalized sensitivity scatterplot. IEEE Trans Vis Comput Graph 19(10)
Guo H, Yuan X (2013) Local wysiwyg volume visualization. In: IEEE Pacific Visualization Symposium, pp 65–72.
Guo H, Mao N, Yuan X (2011) Wysiwyg (what you see is what you get) volume visualization. IEEE Trans Vis Comput Graph 17(12):2106–2114
Heer J, Kong N, Agrawala M (2009) Sizing the horizon: the effects of chart size and layering on the graphical perception of time series visualizations. pp 1303–1312.
Hollt T, Freiler W, Doleisch H, Heinemann G, Hadwiger M (2012) Seivis: an interactive visual subsurface modeling application. IEEE Trans Vis Comput Graph 18(12):2226–2235
Li D, Sun X, Ren Z, Lin S, Tong Y, Guo B, Zhou K (2013) Transcut: interactive rendering of translucent cutouts. IEEE Trans Vis Comput Graph 19(3):484–494
Max N, Hanrahan P, Crawfis R (1990) Area and volume coherence for efficient visualization of 3d scalar functions. In: Proceedings of workshop on Volume visualization 24:27–33
Patel D, Giertsen C, Thurmond J, Gjelberg J, Gröller ME (2008) The seismic analyzer: interpreting and illustrating 2d seismic data. IEEE Trans Vis Comput Graph 14:1571–1578
Ridgley J, Condon S, Hatch J (2013) Geology and oil and gas assessment of the fruitland total petroleum system. U.S. Geological Survey
Yuan X, Zhang N, Nguyen MX, Chen B (2005) Volume cutout. The Visual Computer (Special Issue of Pacific Graphics) 21(8–10):745–754
Zhou L, Hansen C (2014) Guideme: slice-guided semiautomatic multivariate exploration of volumes. In: The Eurographics Conference on Visualization.
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Liu, R., Guo, H. & Yuan, X. Seismic structure extraction based on multi-scale sensitivity analysis. J Vis 17, 157–166 (2014). https://doi.org/10.1007/s12650-014-0207-4
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DOI: https://doi.org/10.1007/s12650-014-0207-4