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Abstract

Summary

In this study, a 3D grid with petrophysical variables (porosity, water saturation, volume of carbonate) and synthetic seismic (by a forward model) is condensed into 2D grid through PCA of cubic spline interpolation coefficients. The 2D grids, corresponding to principal components selected, are then transformed back into a 3D grid, followed by application of the forward model to generate new seismic data. The aim is to assess information loss resulting from this summarization across all variables and seismic data, comparing outcomes against original block models. The study examines the viability of this technique in reducing computational load while preserving essential reservoir spatial characteristics.

© EAGE Publications BV
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2023-11-27
2025-11-12

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References

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/content/papers/10.3997/2214-4609.202335066
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FPCA to Summarize Petrophysical Variables: Impact in the Synthetic Seismic
Conference Proceedings 2023, 1 (2023); https://doi.org/10.3997/2214-4609.202335066
/content/papers/10.3997/2214-4609.202335066
/content/papers/10.3997/2214-4609.202335066
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