Structural model creation: The impact of data type and creative space on geological reasoning and interpretation

Geological Society Special Publication

Volumn 421, Issue 1, 2015, Pages 83-97

  Bond, C E ^a   Johnson, G ^b   Ellis, J F ^c  

^a UNIVERSITY OF ABERDEEN   (United Kingdom)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

^c Osbourne House   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84961290982     PISSN: 03058719     EISSN: None     Source Type: Book Series    
DOI: 10.1144/SP421.4     Document Type: Chapter

References (26)

1. Baddeley, M. C., Curtis, A. & Wood, R. 2004. An introduction to prior information derived from probabilistic judgements: elicitation of knowledge, cognitive bias and herding. In: Curtis, A. & Wood, R. (eds) Geological Prior Information: Informing Science and Engineering. Geological Society, London, Special Publications, 239, 15-27, http://dx.doi.org/10.1144/GSL.SP.2004.239.01.02.
2. Bond, C. E., Gibbs, A. D., Shipton, Z. K. & Jones, S. 2007. What do you think this is?: 'conceptual uncertainty' in geoscience interpretation. GSA Today, 17, 4-10, http://dx.doi.org/10.1130/GSAT01711A.1
3. Bond, C. E., Shipton, Z. K., Gibbs, A. D. & Jones, S. 2008. Structural models: optimizing risk analysis by understanding conceptual uncertainty. First Break, 26, 65-71.
4. Bond, C. E., Lunn, R. J., Shipton, Z. K. & Lunn, A. D. 2012. What makes an expert effective at interpreting seismic images? Geology, 40, 75-78, http://dx.doi.org/10.1130/G32375.1.
5. Frodeman, R. 1995. Geological reasoning: geology as an interpretive and historical science. Geological Society of America Bulletin, 107, 960-968.
6. Joyce, C. K. 2009. The Blank Page: Effects of Constraint on Creativity. PhD thesis, University of California, Berkeley, CA.
7. Kalar, D. J., Garrigan, P., Wickens, T. D., Hilger, J. D. & Kellman, P. J. 2010. A unified model of illusory and occluded contour interpolation. Vision Research, 50, 284-299, http://doi.org/10.1016/j.visres.2009.10.011.
8. Kellman, P. J. & Spelke, E. S. 1983. Perception of partly occluded objects in infancy. Cognitive Psychology, 15, 483-524.
9. Kundel, H. L. & Revesz, G. 1976. Lesion conspicuity, structure noise, and film reader error. American Journal of Roentgenology, 126, 1233-1238.
10. Kundel, H. L., Nodine, C. F., Thickman, D., Carmody, D. & Toto, L. 1985. Nodule detection with and without a chest image. Investigative Radiology, 20, 94-99.
11. Lark, R. M., Mathers, S. J., Thorpe, S., Arkley, S. L. B., Morgan, D. J. & Lawrence, D. J. D. 2013. A statistical assessment of the uncertainty in a 3-D geological framework model. Proceedings of the Geologists' Association, 124, 946-958, http://dx.doi.org/10.1016/j.pgeola.2013.01.005
12. Lesgold, A. M., Rubinson, H., Feltocih, P. J., Glaser, R., Klopfer, D. & Wang, Y. 1988. Expertise in a complex skill: diagnosing X-ray pictures. In: Chi, M. T. H., Glaser, R. & Farr, M. (eds) The Nature of Expertise. Erlbaum, Hillsdale. NJ, 311-342.
13. Lindsay, M. D., Ailleres, L., Jessell, M. W., de Kemp, E. & Betts, P. G. 2012. Locating and quantifying geological uncertainty in three-dimensional models: analysis of the Gippsland Basin, southeastern Australia. Tectonophysics, 546-547, 10-27.
14. Lindsay, M. D., Jessell, M. W., Ailleres, L., Perrouty, S., de Kemp, E. & Betts, P. G. 2013. Geodiversity: exploration of 3D geological model space. Tectonophysics, 594, 27-37.
15. Oliva, A. & Torralba, A. 2006. Building the gist of a scene: the role of global image features in recognition. Progress in Brain Research 155, 23-36.
16. Polson, D. & Curtis, A. 2010. Dynamics of uncertainty in geological interpretation. Journal of the Geological Society, London, 167, 5-10, http://dx.doi.org/10.1144/0016-76492009-055.
17. Rankey, E. C. & Mitchell, J. C. 2003. That's why it's called interpretation: impact of horizon uncertainty on seismic attribute analysis. The Leading Edge, 22, 820-828, http://dx.doi.org/10.1190/1.1614152
18. Refsgaard, J. C., van der Sluijs, J. P., Brown, J. & van der Keur, P. 2006. A framework for dealing with uncertainty due to model structure error. Advances in Water Resources, 29, 1586-1597.
19. Revesz, G., Kundel, H. L. & Graber, M. A. 1974. The influence of structured noise on the detection of radiologic abnormalities. Investigative Radiology, 9, 479-486.
20. Shipley, T. F. & Kellman, P. J. 2003. Boundary completion in illusory contours: Interpolation or extrapolation? Perception, 32, 985-999.
21. Tacher, L., Pomian-Srzednicki, I. & Parriaux, A. 2006. Geological uncertainties associated with 3-D subsurface Models. Computers & Geosciences, 32, 212-221.
22. Torvela, T. M. & Bond, C. E. 2011. Do experts use idealised structural models?: insights from a deepwater fold-thrust belt. Journal of Structural Geology, 33, 51-58, http://dx.doi.org/10.1016/j.jsg.2010.10.002.
23. Wellmann, J. F. & Regenauer-Lieb, K. 2012. Uncertainties have a meaning: information entropy as a quality measure for 3-D geological models. Tectonophysics, 526-529, 207-216.
24. Wellmann, J. F., Horowitz, F. G., Schill, E. & Regenauer-Lieb, K. 2010. Towards incorporating uncertainty of structural data in 3D geological inversion. Tectonophysics, 490, 141-151.
25. Williams, G. D., Powell, C.M. & Cooper, M. A. 1989. Geometry and kinematics of inversion tectonics. In: Cooper, M. A. & Williams, G. D. (eds) Inversion Tectonics. Geological Society, London, Special Publications, 44, 3-16, http://dx.doi.org/10.1144/GSL.SP.1989.044.01.02.
26. Ye, M., Pohlmann, K. F. & Chapman, J. B. 2008. Expert elicitation of recharge model probabilities for the Death Valley regional flow system. Journal of Hydrology, 354, 102-115.