Near-surface study at the valhall oil field from ambient noise surface wave tomography

A. Mordret, M. Landés, N. M. Shapiro, S.C. Singh, P. Roux, O.I. Barkved

Research output: Contribution to journalArticleResearchpeer-review

147 Citations (Scopus)

Abstract

We used 6 hr of continuous seismic noise records from 2320 four-component sensors of the Valhall 'Life of Field Seismic' network to compute cross-correlations (CCs) of ambient seismic noise. A beamforming analysis showed that at low frequencies (below 2Hz) the seismic noise sources were spatially homogeneously distributed, whereas at higher frequencies (2-30 Hz), the dominant noise source was the oil platform at the centre of the network. Here, we performed an ambient noise surface wave tomography at frequencies below 2 Hz.We used vertical-component geophones CCs to extract and measure the Scholte waves group velocities dispersion curves that were then processed with a set of quality criteria and inverted to build group velocity maps of the Valhall area. Although Scholte wave group velocity depends on S wave, our group velocity maps show features similar to that was previously obtained from P-wave velocity full-waveform inversion of an active seismic data set. Since the dominant noise source at high frequency (above 3 Hz) was the oil platform, we determined a 2-D S-wave velocity model along a profile aligned with the platform by inverting group velocity dispersion curves of Love waves from transverse-component geophones CCs. We found that S-wave velocity down to 20m was low and varied along the profile, and could be used to estimate S-wave static.

Original languageEnglish
Pages (from-to)1627-1643
Number of pages17
JournalGeophysical Journal International
Volume193
Issue number3
DOIs
Publication statusPublished - May 2013
Externally publishedYes

Keywords

  • Europe
  • Interface waves
  • Interferometry
  • Seismic tomography

Programme Area

  • Programme Area 3: Energy Resources

Fingerprint

Dive into the research topics of 'Near-surface study at the valhall oil field from ambient noise surface wave tomography'. Together they form a unique fingerprint.

Cite this