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F<strong>in</strong>d<strong>in</strong>gF<strong>in</strong>d<strong>in</strong>g oil starts with the rocksRock physics – <strong>in</strong>version – pressure prediction – prospect generation and evaluationPerform Gassmann fluid substitutionBr<strong>in</strong>e scenarioFigure 9. Buzzard type model br<strong>in</strong>e filled viewed as Elastic impedance model (EI).The test of modell<strong>in</strong>g and rock physics of course is whether these effects can actually <strong>be</strong> detected on realseismic data with all the attendant problems of noise and variable data quality. Hav<strong>in</strong>g a 2D or 3D modelallows direct comparison with the seismic attributes themselves.Perform Gassmann fluid substitutionOil scenarioFigure. 10. Oil -Filled sand modelsFigure 11 shows the results of <strong>in</strong>version of a 2D seismic l<strong>in</strong>e to the AVOImpedance attribute predicted by thevisual modell<strong>in</strong>g and rock physics to <strong>be</strong> the <strong>be</strong>st attribute on which to discrim<strong>in</strong>ate and <strong>in</strong>terpret lithology andfluid-fill.2 oil sandsAVOImpedanceOil sandOWC?Water sandZone of wellcalibrationShaleFigure 11. AVOImpedance InversionPrediction and Productivity improvements <strong>in</strong> Quantitative Interpretation via rock physics modell<strong>in</strong>g and<strong>in</strong>terpreter led automation.© Ikon Science Limited, 2001-2009 All right reserved7

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