Automated method abstracts seismic data into overlapping patches and defines patch-links to resolve lateral heterogeneity in subsurface interpretation.
A statistical approach identifies seismic edges using significance statistics and P-value calculations.
Interactive event grouping clusters seismic sources by amplitude ratios to enable multi-event moment tensor inversion.
A novel acoustic wave equation parameterization using velocity and reflectivity models enables high-resolution seismic imaging without density requirements.
An automated system segments measurement logs to determine rock types and layer dimensions, eliminating manual operator bias during drilling operations.
A stable second-order wave equation enables reverse time migration imaging in tilted orthorhombic media.
Combining seismic and electric field data extracts superposed Rayleigh wave dispersion spectra, reducing inversion ambiguity in stratigraphic models.
A neural network processes seismic signals using determined wavelet lengths to enhance image resolution.
A method derives seismic visualization parameters by comparing statistical distributions of data sub-volumes against the full volume.
A volatility measurement model updates density and velocity estimates using correlation thresholds, resolving signal distortion caused by gas clouds.