Quantitative seismic interpretation using inverse rock physics modelling

Kenneth Bredesen, Erling Hugo Jensen, Tor Arne Johansen, Per Avseth

Research output: Contribution to journalArticleResearchpeer-review

14 Citations (Scopus)

Abstract

Extracting information about reservoir quality from seismic data is a key challenge in exploration, appraisal and production of hydrocarbons. We demonstrate how to perform quantitative reservoir characterization by using inverse rock physics modelling on seismic inversion data. This allows us to evaluate the non-uniqueness of our predictions. We demonstrate our methodology on a gas-condensate Norwegian Sea field under appraisal and production, and perform reservoir quality predictions along a selected seismic cross-section where we have well control. Even though such a seismic dataset is more uncertain than well log data, which have been used previously in similar analysis, we still achieve reasonable and consistent predictions of reservoir quality.

Original languageEnglish
Pages (from-to)271-284
Number of pages14
JournalPetroleum Geoscience
Volume21
Issue number4
DOIs
Publication statusPublished - 1 Nov 2015
Externally publishedYes

Programme Area

  • Programme Area 3: Energy Resources

Fingerprint

Dive into the research topics of 'Quantitative seismic interpretation using inverse rock physics modelling'. Together they form a unique fingerprint.

Cite this