Two-component prestack linearized elastic inversion for reservoir characterization
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Abstract:
Prestack linearized elastic inversion is an advanced approach for reservoir characterization compared to conventional AVO methods. The elastic parameters estimated at the reservoir level are a potential source of information on lithological, petrophysical and fluid variations. This paper develops a two-component prestack linearized elastic inversion which allows to determine a 2D elastic target zone embedded in an almost laterally invariant elastic medium. The interest of accounting for the two components in the inversion process is investigated on simple examples (scattering point, isolated reflector), then on a realistic synthetic example built from a North sea field. The elastic parameters obtained by inversion of the realistic case are interpreted in terms of reservoir properties in order to evaluate the contribution of the proposed method to reservoir characterization.Keywords:
Prestack
Petrophysics
North sea
Synthetic data
ABSTRACT Quality, availability and consistency of the measured and interpreted well log data are essential in the seismic reservoir characterization methods, and seismic petrophysics is the recommended workflow to achieve data consistency between logs and seismic domains. This paper uses seismic petrophysics workflow to improve well logs and pore geometry interpretations for an oil carbonate reservoir in the Fahliyan Formation in the southwest of Iran. The petrophysical interpreted well logs, rock physics and well‐to‐seismic tie analysis are integrated into the proposed workflow. Our implementation incorporates revising petrophysical well log interpretations and updating pore geometry characteristics to obtain a better well‐tie quality. We first propose an improved pore‐type characterization approach based on both P‐ and S‐wave velocities for quantifying pore geometry. Then, seismic logs are estimated accordingly, and the results are used in the well‐to‐seismic analysis. The quality of the well‐tie is improved, furthermore, by iterating on the petrophysical interpreted well logs as well as the calculated pore geometries. For the intervals with high‐quality data, our workflow improves the consistency between the results of measured and modelled seismic logs. For the intervals with problematic well logs, the application of our proposed workflow results in the successful replacement of the poor data and subsequently leads to an improved wavelet estimation and well‐tie results. In both cases, a higher quantification of pore geometries is achieved, which in turn is confirmed by the core images and formation micro‐imager analysis.
Petrophysics
Seismic to simulation
Characterization
Formation evaluation
Seismic attribute
Environmental geology
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