Structural model creation

the impact of data type and creative space on geological reasoning and interpretation

C. E. Bond, G. Johnson, J. F. Ellis

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Abstract

Interpretation of sparse or incomplete datasets is a fundamental part of geology; particularly when building models of the subsurface. Available geological data is often remotely sensed (seismic data) or very limited in spatial extent (borehole data). Understanding how different datasets are interpreted and what makes an interpreter effective is critical if accurate geological models are to be created. A comparison of the interpretation outcome and techniques used by two cohorts interpreting different geological datasets of the same model, an inversion structure, has been made. The first cohort consists of interpreters of the synthetic seismic image data in Bond et al. (2007); the second cohort is new and interpreted borehole data. The outcomes of the borehole interpretation dataset support the findings of Bond et al. (2012); that technique use, specifically evidence of geological evolution thought processes, results in more effective interpretation. The results also show the borehole interpreters were more effective at arriving at the correct interpretation. Analysis of their final interpretations in the context of psychological and medical image analysis research suggests that the clarity of the original dataset, the amount of noise and white space may play a role in interpretation outcome, through enforced geological reasoning during data interpretation.
Original languageEnglish
Pages (from-to)83-97
Number of pages15
JournalSpecial Publication - Geological Society of London
Volume421
Early online date11 Feb 2015
DOIs
Publication statusPublished - 2015

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borehole
data interpretation
image analysis
seismic data
geology

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

Cite this

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title = "Structural model creation: the impact of data type and creative space on geological reasoning and interpretation",
abstract = "Interpretation of sparse or incomplete datasets is a fundamental part of geology; particularly when building models of the subsurface. Available geological data is often remotely sensed (seismic data) or very limited in spatial extent (borehole data). Understanding how different datasets are interpreted and what makes an interpreter effective is critical if accurate geological models are to be created. A comparison of the interpretation outcome and techniques used by two cohorts interpreting different geological datasets of the same model, an inversion structure, has been made. The first cohort consists of interpreters of the synthetic seismic image data in Bond et al. (2007); the second cohort is new and interpreted borehole data. The outcomes of the borehole interpretation dataset support the findings of Bond et al. (2012); that technique use, specifically evidence of geological evolution thought processes, results in more effective interpretation. The results also show the borehole interpreters were more effective at arriving at the correct interpretation. Analysis of their final interpretations in the context of psychological and medical image analysis research suggests that the clarity of the original dataset, the amount of noise and white space may play a role in interpretation outcome, through enforced geological reasoning during data interpretation.",
author = "Bond, {C. E.} and G. Johnson and Ellis, {J. F.}",
note = "The authors would like to thank participants in the interpretation exercises. Bond was funded by Midland Valley Exploration and a Scottish Executive SCORE award whilst collecting the cohort 1 interpretation dataset. Midland Valley Exploration's Move software was used to create the geological model and borehole dataset. Fiji (Image J) software was used to create Figure 5a and c. ION GXT are thanked for creation of the synthetic seismic image dataset.",
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N2 - Interpretation of sparse or incomplete datasets is a fundamental part of geology; particularly when building models of the subsurface. Available geological data is often remotely sensed (seismic data) or very limited in spatial extent (borehole data). Understanding how different datasets are interpreted and what makes an interpreter effective is critical if accurate geological models are to be created. A comparison of the interpretation outcome and techniques used by two cohorts interpreting different geological datasets of the same model, an inversion structure, has been made. The first cohort consists of interpreters of the synthetic seismic image data in Bond et al. (2007); the second cohort is new and interpreted borehole data. The outcomes of the borehole interpretation dataset support the findings of Bond et al. (2012); that technique use, specifically evidence of geological evolution thought processes, results in more effective interpretation. The results also show the borehole interpreters were more effective at arriving at the correct interpretation. Analysis of their final interpretations in the context of psychological and medical image analysis research suggests that the clarity of the original dataset, the amount of noise and white space may play a role in interpretation outcome, through enforced geological reasoning during data interpretation.

AB - Interpretation of sparse or incomplete datasets is a fundamental part of geology; particularly when building models of the subsurface. Available geological data is often remotely sensed (seismic data) or very limited in spatial extent (borehole data). Understanding how different datasets are interpreted and what makes an interpreter effective is critical if accurate geological models are to be created. A comparison of the interpretation outcome and techniques used by two cohorts interpreting different geological datasets of the same model, an inversion structure, has been made. The first cohort consists of interpreters of the synthetic seismic image data in Bond et al. (2007); the second cohort is new and interpreted borehole data. The outcomes of the borehole interpretation dataset support the findings of Bond et al. (2012); that technique use, specifically evidence of geological evolution thought processes, results in more effective interpretation. The results also show the borehole interpreters were more effective at arriving at the correct interpretation. Analysis of their final interpretations in the context of psychological and medical image analysis research suggests that the clarity of the original dataset, the amount of noise and white space may play a role in interpretation outcome, through enforced geological reasoning during data interpretation.

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