Subjective uncertainty and biases: The impact on seismic data interpretation

Juan Alcalde, Clare E. Bond

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

The interpretation of seismic image data involves dealing with considerable uncertainty. Interpreters employ heuristics (“rules of thumb”) during interpretation to make judgments. These heuristics lead to unwanted, and usually unknown, cognitive biases that influence the interpretation. This chapter introduces the concept of subjective uncertainty and goes on to describe four of the key biases that influence the seismic interpretation process: anchoring; availability; herding; and framing. Each bias is described from original conception through to how it influences the seismic interpretation process. Research specific to seismic interpretation is outlined and summarized. The chapter concludes with an overview of bias mitigation methods that can be employed for seismic interpretation.

Original languageEnglish
Title of host publicationInterpreting Subsurface Seismic Data
EditorsRebecca Bell, David Iacopini, Mark Vardy
PublisherElsevier
Chapter5
Pages103-123
Number of pages21
ISBN (Electronic)9780128185629
ISBN (Print)9780128196922
DOIs
Publication statusPublished - 2022

Keywords

  • Anchoring
  • Availability
  • Cognitive biases
  • Framing
  • Herding
  • Interpretational uncertainty
  • Mitigation

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