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Application of seismic texture model regression to seismic facies characterization and interpretation

Marathon Oil Corporation, Houston, USA

Corresponding author: dgao{at}marathonoil.com

This paper applies a texture model regression method to characterize seismic facies with particular reference to frontier, deep marine depositional settings. The algorithm introduces and designs a seismic texture model in an adaptive manner in terms of dimensionality, size, amplitude, frequency, and phase using mathematical, synthetic, or actual seismic data. The model serves as a reference for seismic feature discrimination by comparing actual seismic texture at each location with the model through a linear, least-squares regression analysis.