2010ProceedingsRequires access

Simultaneous Inversion Efficiency Estimation for Acoustic Low–contrast Reservoirs

M. Romanenko, И.Н. Керусов, D.E. Miroshnichenko

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Abstract

Prestack simultaneous inversion was performed on synthetic and measured seismic data to appraise the influence of several factors to estimation of P- and S-wave velocity and especially density. The measured data from Western Siberia were used to generate the synthetic data. Analysis on synthetic data indicates that even in the ideal case of noise-free data we have to carry on about angle range. For accurate density estimation it is necessary to use far-angle data (more than 30 degree). Lastly 5-50% random noise was added to the synthetic data, and misfits between inversion results and model data were analyzed. Finally inversion was performed on measured data. Based on results of inversion sandstones with good reservoir quality were detected

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What this paper is about

Prestack simultaneous inversion was performed on synthetic and measured seismic data to appraise the influence of several factors to estimation of P- and S-wave velocity and especially density. The measured data from Western Siberia were used to generate the synthetic data. Analysis on synthetic data indicates that even in the ideal case of noise-free data we have to carry on about angle range. For accurate density estimation it is necessary to use far-angle data (more than 30 degree). Lastly 5-50% random noise was added to the synthetic data, and misfits between inversion results and model data were analyzed. Finally inversion was performed on measured data. Based on results of inversion sandstones with good reservoir quality were detected

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Available abstract

Prestack simultaneous inversion was performed on synthetic and measured seismic data to appraise the influence of several factors to estimation of P- and S-wave velocity and especially density. The measured data from Western Siberia were used to generate the synthetic data. Analysis on synthetic data indicates that even in the ideal case of noise-free data we have to carry on about angle range. For accurate density estimation it is necessary to use far-angle data (more than 30 degree). Lastly 5-50% random noise was added to the synthetic data, and misfits between inversion results and model data were analyzed. Finally inversion was performed on measured data. Based on results of inversion sandstones with good reservoir quality were detected

Key concepts: Inversion (geology), Prestack, Synthetic data, Seismic inversion, Geology, Data quality, Inverse transform sampling, Data processing

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