Abstract
Two main stages of seismic modeling are geological model building and numerical computation of seismic response for the model. The quality of the computed seismic response is partly related to the type of model that is built. Therefore, the model building approaches become as important as seismic forward numerical methods. For this purpose, three petrophysical facies (sands, shales and limestones) are extracted from reflection seismic data and some seismic attributes via the clustering method called Self-Organizing Maps (SOM), which, in this context, serves as a geological model building tool. This model with all its properties is the input to the Optimal Implicit Staggered Finite Difference (OISFD) algorithm to create synthetic seismograms for poroelastic, poroacoustic and elastic media. The results show a good agreement between observed and 2-D synthetic seismograms. This demonstrates that the SOM classification method enables us to extract facies from seismic data and allows us to integrate the lithology at the borehole scale with the 2-D seismic data.
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Acknowledgements
We would like to thank the two anonymous reviewers and the editor Andrew R. Gorman for kind comments that helped to improve this manuscript. This work was partially supported by CONACYT Mexico under PROINNOVA projects 241763, 231476; DGAPA UNAM project number IN100917. We thank Todd Thomas and the W.T. Waggoner Estate for providing the data. Work by RIB was partially supported by a postdoctoral fellowship at CIMAT-Mérida provided by CONACYT grant FOMIX-YUC 221183.
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Itzá Balam, R., Iturrarán-Viveros, U. & Parra, J.O. Modeling Poroelastic Wave Propagation in a Real 2-D Complex Geological Structure Obtained via Self-Organizing Maps. Pure Appl. Geophys. 175, 2975–2986 (2018). https://doi.org/10.1007/s00024-018-1806-0
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DOI: https://doi.org/10.1007/s00024-018-1806-0