![hampson russell well tie hampson russell well tie](https://library.seg.org/cms/10.1190/1.3379322/asset/images/medium/1.gif)
This comprehensive suite of reservoir characterization tools integrates well logs, seismic data and. We use blind well tests to verify the accuracy of well-log interpolation and seismic well ties. Reduce the risks and costs associated with exploration and production with world-class advanced geophysical interpretation and analysis from our HampsonRussell software. The time-variant nature of the seismic wavelet adds nonlinearities to the trace which cannot be followed by a linear. 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. Finally, log data from each well are interpolated along local seismic structures to generate global log property volumes. matching the actual seismic trace at the well position (Hampson-Russell, 1999).
#Hampson russell well tie 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. The School of Geosciences has state of the art research facilities across a broad sprectrum of the geosciences. Local similarity is then used to tie available wells with seismic data. Research Institutes, Facilities, and Laboratories.
![hampson russell well tie hampson russell well tie](https://image.slidesharecdn.com/fulltext01-150514061551-lva1-app6891/95/fulltext01-46-638.jpg)
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. We first used the local similarity scan to align all logs to constant geologic time and interpolate missing well-log information. actual seismic trace at the well position (Hampson-Russell, 1999). 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. Van der Baan, 2012 a, Guided seismic-to-well tying based on dynamic time warping : 82nd Annual International Meeting, SEG, Expanded Abstracts, doi: 10.1190/segam2012-0712.1. When sonic and density logs are not available, it is challenging to incorporate wells into integrated reservoir studies because the wells cannot be tied to seismic. Hampson-Russell, 1999, Theory of the Strata program: Technical report, CGGVeritas Hampson-Russell. SEG, Investigations in Geophysics, 1000 p.Relating well-log data, measured in depth, to seismic data, measured in time, typically requires estimating well-log impedance and a time-to-depth relationship using available sonic and density logs. Yilmaz, Ö., 2001, Seismic Data Analysis - Processing, Inversion, and Interpretation of Seismic Data Volume I. and Simm, R., 2003, Tutorial: Good practice in well ties. Trantham, E.C., 1994, Controlled-phase acquisition and processing 64th Annual International Meeting, SEG, Expanded Abstracts, 890–894. 4 HampsonRussell Software GeoSI GeoSI is a prestack simultaneous elastic inversion that generates high-frequency stochastic models for high-resolution reservoir characterization and uncertainty analysis. Hampson: But that's where minimum phase is critical. Hampson: So you're defining working as if you deconvolve many different data sets, the results will tie. Scandinavian Oil-Gas Magazine, 5/6, 19–22. when well data are sparse, or simulate the seismic signature of different production scenarios. We have processed lines of many different energy sources and vintages in a single area, and they tie reasonably well. Pendrel, J., 2006, Seismic inversion - a critical tool in reservoir characterization. Mendel, J.M., 1983, Optimal seismic deconvolution: An estimationbased approach. IEEE Transactions on Information Theory, 28, 482–488. and Mendel, J.M., 1982, Maximum likelihood detection and estimation of Bernoullli-Gaussian processes. and Taxt, T., 1998, Multichannel blind deconvolution of seismic signals. Henry, S.G., 1997, Catch the (seismic) wavelet. Hampson-Russell, 2007, Strata Guide 2007. Ikelle, L.T., Roberts, G., and Weglein, A.B., 1997, Source signature estimation based on the removal of first-order multiples. and van der Baan, M., 2011, How reliable is statistical wavelet estimation? Geophysics, 76, V59–V68. Earthworks Technical Note, 27 p.Įdgar, J.A.
![hampson russell well tie hampson russell well tie](https://i.ytimg.com/vi/RG8GDV9vBeQ/maxresdefault.jpg)
CREWES Research Report, 10, 21-1–21-28.ĮERL (Earthworks Environment & Resources Ltd), 2006, Under-standing Stochastic Seismic Inversion. and Line, L.R., 1998, Seismic source wavelet estimation and the random reflectivity assumption.