Lithology Prediction from the Results of Full Elastic Wave-equation based Inversion Scheme

Runhai Feng, Stefan Luthi, Dries Gisolf, Siddharth Sharma

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

Inversion results from seismic data of a synthetic example based on the Cretaceous fluvio-deltaic Book Cliffs outcrops in Utah (USA) have been used to extract the reservoir parameters. The input data sets are compressibility and shear compliance which are from the full elastic wave-equation based inversion method. A fuzzy logic inference algorithm has been applied in which the lithology templates are based on well-logging data. The membership functions of the lithologies are constructed firstly. Then inversion results are used to predict the reservoir lithology. It is suggested that this classification method performs well because most of the time the same or similar lithologies have been predicted. However, this approach heavily depends on the input inversion results and therefore the full elastic wave-equation based inversion has been chosen.
Original languageEnglish
Title of host publication78th EAGE Conference and Exhibition 2016, Vienna, Austria
PublisherEAGE
Pages1-5
Number of pages5
DOIs
Publication statusPublished - 2016
Event78th EAGE Conference and Exhibition 2016 - Messe Wien, Exhibition and Congress Center, Vienna, Austria
Duration: 30 May 20162 Jun 2016
Conference number: 78
http://www.eage.org/sitecore/content/events/home/2016/78th-eage-conference-and-exhibition-vienna-2016?sc_lang=en

Conference

Conference78th EAGE Conference and Exhibition 2016
Abbreviated titleEAGE 2016
CountryAustria
CityVienna
Period30/05/162/06/16
Internet address

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