Abstract

Key objectives of this seismic reprocessing and seismic inversion project are to reduce multiples and noise, and optimize imaging and amplitude fidelity across the three different survey types (marine, transition zone and land) covering the field. A collaborative multi-disciplinary well data analysis, seismic processing, and reservoir characterization approach has been executed. The approach involved iterative, integrated analysis of petrophysical, rock physical, and borehole geophysical data at the onset of the project. These well-related data and products then form reference calibration dataset used to qualify the improvement in seismic data quality though successive stages of seismic data processing and imaging. In particular, major stages of seismic processing for each of the separate survey types were quality checked by performing fast track simultaneous seismic inversions on minicubes around a chosen representative wells within each survey type. These yielded measurements of the progressive data improvements achieved at each stage; independently for each survey segment, and later, for the merged survey covering the entire field. The dataset thus processed is termed as an optimized seismic dataset with borehole-calibrated, consistent phase, amplitude, and reflector positioning, towards structural and quantitative interpretation procedures.

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