Seismic Data Interpretation

Overview

Interpretation is where processing effort becomes drilling decisions. We map structure and stratigraphy from migrated volumes, then push further with quantitative analysis: forty-plus seismic attributes, spectral decomposition, coherence and curvature for fault and fracture networks, and texture analysis for facies discrimination.

Where the data supports it, we apply multi-attribute machine-learning classification to delineate bodies and facies — always anchored to well control, never as a substitute for geology. Well logs are integrated directly, so the interpretation ties to measured rock properties rather than to assumptions.