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This facies-based trend analysis and half-space modelling workflow provides a practical method for building geologically consistent elastic models that capture petrophysical variability across wells and depths.
By clustering logs into facies and deriving end-member properties, interpreters can construct blocky, depth-dependent models that feed directly into AVO feasibility, inversion planning, and trend validation. These models are especially valuable in early exploration for testing fluid/lithology scenarios, understanding anisotropy sensitivity, and constraining rock property trends where data is sparse or uncertain.
