{"title":"Porosity interpretation through seismics","authors":"C.H Mehta, B.M Verma","doi":"10.1016/0016-7142(91)90030-G","DOIUrl":null,"url":null,"abstract":"<div><p>This paper describes a procedure for porosity interpretation from seismic data (POISE) by exploiting merits of several recent advances in seismic data processing and interpretation.</p><p>Briefly, the procedure is as follows: starting from NMO corrected CDP gathers of P-wave data and applying amplitude versus offset (AVO) analysis, one can separate out zero offset “P-wave” and “Swave” stacks both as a function of P-wave time. Here the term “S-wave” refers to a stack that we would have obtained if we had carried out an S-wave survey and displayed the data in P-wave traveltime. Application of maximum likelihood deconvolution/modelling technique on stacks leads to models for P-wave and S-wave reflection coefficients. Finally, inverting the reflection coefficients for interval transit time, a section can be prepared to display <em>ΔT</em><sub><em>s</em></sub>-<em>ΔT</em><sub><em>p</em></sub>, the difference in slowness of the S-wave and P-wave as a function of the P-wave traveltime.</p><p>The final output of POISE for <em>ΔT</em><sub><em>s</em></sub>-<em>ΔT</em><sub><em>p</em></sub> is particularly useful for studying variations in lithology and porosity within a formation. The interpretation is fouSnded on an empirical observation by Ikwuakor that <em>ΔT</em><sub><em>s</em></sub>-<em>ΔT</em><sub><em>p</em></sub> from character logs for a large number of carbonate and sandstone samples, is proportional to the core porosity (for a given rock type).</p><p>The utility of POISE is illustrated with a field example in a carbonate reservoir.</p></div>","PeriodicalId":100579,"journal":{"name":"Geoexploration","volume":"28 1","pages":"Pages 91-106"},"PeriodicalIF":0.0000,"publicationDate":"1991-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0016-7142(91)90030-G","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geoexploration","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/001671429190030G","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
This paper describes a procedure for porosity interpretation from seismic data (POISE) by exploiting merits of several recent advances in seismic data processing and interpretation.
Briefly, the procedure is as follows: starting from NMO corrected CDP gathers of P-wave data and applying amplitude versus offset (AVO) analysis, one can separate out zero offset “P-wave” and “Swave” stacks both as a function of P-wave time. Here the term “S-wave” refers to a stack that we would have obtained if we had carried out an S-wave survey and displayed the data in P-wave traveltime. Application of maximum likelihood deconvolution/modelling technique on stacks leads to models for P-wave and S-wave reflection coefficients. Finally, inverting the reflection coefficients for interval transit time, a section can be prepared to display ΔTs-ΔTp, the difference in slowness of the S-wave and P-wave as a function of the P-wave traveltime.
The final output of POISE for ΔTs-ΔTp is particularly useful for studying variations in lithology and porosity within a formation. The interpretation is fouSnded on an empirical observation by Ikwuakor that ΔTs-ΔTp from character logs for a large number of carbonate and sandstone samples, is proportional to the core porosity (for a given rock type).
The utility of POISE is illustrated with a field example in a carbonate reservoir.