Mapping faults in 3D seismic data: why the method matters  

Francisca Robledo Carvajal* (Corresponding Author), Rob Butler, Clare E. Bond

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
5 Downloads (Pure)

Abstract

3D seismic reflection imagery is the most widely used resource for interpreting the geometric structure of faults in the subsurface. Yet these endeavours carry uncertainties, the significance of which are rarely discussed. We explore how the application of different workflows yield different interpretations of a single high-quality 3D seismic image-set. We describe and apply five mapping workflows, based on 2D derivations of imagery to map an array of small-scale faults. Some workflows use vertical profiles, a conventional approach, others use plan views. We also vary the amount of under-sampling. Stacking the fault maps derived from the five workflows into a heat map shows broadly similar trends and distributions of faults irrespective of the workflow deployed. However, juxtaposition mapping reveals differences in fault length and network pattern (linkage and segmentation) arising from the different workflows. We quantify the total fault areas and distribution of fault lengths for each workflow – revealing significant differences in these statistics. Our results show that mapping strategies impact the interpretation of fault geometry, their network patterns and derived statistics. This understanding is critical for assessing and risking fault interpretations – deploying multiple workflows can reveal inherent uncertainty in structural interpretation of 3D seismic imagery.
Original languageEnglish
Article number104976
Number of pages18
JournalJournal of Structural Geology
Volume177
Early online date2 Nov 2023
DOIs
Publication statusPublished - 1 Dec 2023

Bibliographical note

Open Access via the Elsevier Agreement
This work is supported by the Chilean National Agency for Research and Development (ANID) through their Scholarship Program (Doctorado Becas Chile/2019–72200430).

We would like to thank Schlumberger (Petrel™) and Petroleum Experts (MOVE) for providing us with academic licenses for their software packages. Additionally, we extend thanks to MINITAB and Esri (ArcMap) for using their licences.

We thank Tiago Alves and an anonymous reviewer for comments on an earlier version of this paper, though, of course, the content presented here remains the sole responsibility of the authors.

Data Availability Statement

The data that has been used is confidential.

Keywords

  • Faults
  • Seismic interpretation
  • Workflows
  • Methods

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