We have developed a workflow to estimate missing well-log information, automatically tie wells to seismic data, and generate a global well-log property volume using data matching techniques. actual seismic trace at the well position (Hampson-Russell, 1999). We first used the local similarity scan to align all logs to constant geologic time and interpolate missing well-log information. Tying the seismic traces to the well logs aims to minimize the differences in the way seismic data and well logs measure the same parameters (Burch, 2002), but with different resolution. Research Institutes, Facilities, and Laboratories. Local similarity is then used to tie available wells with seismic data. The School of Geosciences has state of the art research facilities across a broad sprectrum of the geosciences.
#Seismic well tie tutorial hampson russell software#
Ranging from field instruments to experimental apparatus to computing software and hardware, SGG provides students with the tools necessary to complete cutting edge research. matching the actual seismic trace at the well position (Hampson-Russell, 1999). Finally, log data from each well are interpolated along local seismic structures to generate global log property volumes. The quality of the tie between the synthetic and the seismic trace is based on the correlation co-efcient, which is limited to linear features. The time-variant nature of the seismic wavelet adds nonlinearities to the trace which cannot be followed by a linear. Reduce the risks and costs associated with exploration and production with world-class advanced geophysical interpretation and analysis from our HampsonRussell software. We use blind well tests to verify the accuracy of well-log interpolation and seismic well ties. International Journal of Mathematical, Engineering and Management Sciences, 6(4), 1025-1043.This comprehensive suite of reservoir characterization tools integrates well logs, seismic data and. Seismic Driven Geomechanical Modeling of Uplifted and Subsided Wells in Mumbai Offshore and Its Engineering Implications. Keywords- Seismic inversion, Well-tie analysis, Geomechanical properties, Mechanical earth models, Reservoir management.Īmbati, V., Mahadasu, N. The study recommends that the drilling through these problematic zones should be avoided to avoid wellbore problems that cause challenges in maintaining wellbore integrity and reservoir management in the North-Heera field, Mumbai Offshore Basin. PR and YM models generated from 3D MEM and seismic data have average values of 0.2 -0.6 and 5 - 28 GPa with significant contrast from shales and carbonates. The brittleness index has a diverse range from 5-35%, with significant contrast at shallow zones. The brittleness index of the subsurface layers was estimated, which is a critical rock property that provides information about rock hardness and fragility phenomenon. Well-tie analysis was used for inversion of 3D seismic data to extract detailed waveform and amplitude information. Seismic data-derived geomechanical properties were compared with the mechanical earth models for the first time for this field. 3D Mechanical Earth Models (MEM) were also developed using the well logs, seismic horizons, and drilling data. The Poison's ratio (PR), Young Modulus (YM), and elastic moduli for a reservoir block were estimated using 3D seismic pre-stack data and well data. Deriving and understanding geomechanical properties is crucial for reservoir management as it can avoid drilling and production-related problems that cause environmental impacts associated with land subsidence and uplift. Seismic data provide evidence about hydrocarbon deposition, geological and geophysical subsurface information, including geomechanical aspects.