Picture of a black hole

Strathclyde Open Access research that creates ripples...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of research papers by University of Strathclyde researchers, including by Strathclyde physicists involved in observing gravitational waves and black hole mergers as part of the Laser Interferometer Gravitational-Wave Observatory (LIGO) - but also other internationally significant research from the Department of Physics. Discover why Strathclyde's physics research is making ripples...

Strathprints also exposes world leading research from the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

Discover more...

What makes an expert effective at interpreting seismic images?

Bond, C. E. and Lunn, R. J. and Shipton, Z. K. and Lunn, A. D. (2012) What makes an expert effective at interpreting seismic images? Geology, 40 (1). pp. 75-78.

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

Interpretation of uncertain data is the basis for understanding many Earth processes; in particular, uncertain data underpin much of the world's hydrocarbon exploration and future carbon minimization strategies (CO2 storage and radioactive waste disposal). It is therefore crucial to develop techniques and protocols that will improve geoscientists' interpretational accuracy. We asked 184 academic and industry experts to interpret a typical oil-industry synthetic seismic reflection data set and found that just over one-third got the "right" answer. Using multivariate analyses we show that interpretational accuracy is significantly improved for experts educated to the level of a Master's degree and/or doctorate (Ph.D.) (regardless of years of experience). Furthermore, although only 18 of 184 experts validated their interpretation by checking geometric and evolutionary feasibility, these experts were almost three times more likely to produce the correct result than those that did not. These results would not have been apparent from traditional detailed expert elicitation studies, as their sample sizes are too small. Our findings strongly suggest that significant improvements in the reliability of interpretations of inherently uncertain geological data sets could be made by increasing the proportion of people recruited into industry and academia who have a Master's or Ph.D. degree, and by changes to industry workflows and quality assurance procedures to explicitly include validation techniques.