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Gas sand prediction using basis pursuit elastic impedance inversion |
HAO Ya-Ju1( ), GAO Jun2 |
1. School of Geophysics and Measurement-Control Technology,East China University of Technology,Nanchang 330013,China 2. Petroleum Exploration and Production Research Institute,SINOPEC,Beijing 100083,China |
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Abstract The impedance of sand reservoir will become lower if the pores are filled with natural gas,so the gas reservoir can be detected by using impedance inversion,which is a common used method.However,the impedance of sand reservoir can be influenced by many kinds of factors such as porosity and mineral composition.As a consequence,the impedance of gas sand may be higher than that of high porosity brine sandstone.In this case,mistake would be caused if post-stack impedance is only used to predict gas sand.Elastic impedance is more reliable than acoustic impedance,because gas sand reservoir can induce AVO anomaly.Simultaneously,in order to improve inversion resolution and accuracy,the authors introduce BP (Basis Pursuit) algorithm to complete elastic inversion.This algorithm is used to decompose seismic signal to even and odd wavelet dictionaries and then reflection coefficient can be obtained by the decomposition coefficients.The method proposed by the authors doesn't need initial low frequency model that traditional inversion method SSI (Sparse Spike Inversion) has to know beforehand. In this case,resolution and accuracy can be improved.The application to synthetic data and field data indicates that this method is more accurate than SSI.
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Received: 10 November 2019
Published: 29 December 2020
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Any arbitrary pair of reflection coefficients can be represented as the sum of even and odd components
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Model and pre-stack synthetic record
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Fig.2 ">
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Elastic inversion result of pre-stack record in Fig.2
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Comparison between SSI and BPI results
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Pre-stack simulation using a well data
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Fig.5 a—EI result of BP method;b—crossplot of 0° and 30° EI ">
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BP EI value of the synthetic record in Fig.5 a—EI result of BP method;b—crossplot of 0° and 30° EI
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The comparison between SSI and BPI results with 30° incident angle
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Field seismic data a—poststack seismic data;b—prestack angular gathers based on CDP
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BPI results of post-stack seismic data a—reflectivity inversion result of post-stack BPI;b—impedance inversion result of post-stack BPI
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BPI elastic inversion results a—reflectivity profile of elastic BPI;b—EI profile of BPI
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Elastic inversion results with different incident angles near well location
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Elastic impedance profiles with different incident angles a—3° EI profile;b—16° EI profile;c—26° EI profile
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