Seismic Signal Processing TRIZ Cases

Calibrated synthetic models resolve spectral interference patterns to improve interpretation accuracy without exhaustive processing.

Fourier domain phase rotation preserves conflicting dips in seismic images, resolving attenuation at faults and salt flanks.

Matches synthetic seismic data against acquired signals to resolve interpretation uncertainties and improve drilling precision.

Detecting first and second seismic waves calculates surface parameters that resolve subjective estimation errors in near-surface velocity models.

A semblance-based method estimates anisotropy parameters using isotropic depth-migrated common image gathers to derive effective values.

Processing heterogeneous seismic datasets with different spatial sampling and temporal bandwidths improves subsurface imaging accuracy.

An anisotropic medium fully transmits obliquely incident elastic waves using phase and polarization matching conditions.

Calculates amplitude versus angle attributes to align converted wave and compressional wave seismic data, resolving time alignment errors in joint inversion.

Windowed statistical correlation resolves ambiguity in azimuthal amplitude gradient estimation by merging seismic traces within a sliding volume.

Beat signal envelopes extract low wavenumber data to resolve cycle-skipping in full waveform inversion.

A thermal maturity imaging system uses seismic data and calibrated rock physics models to determine pore fluid types.

A hybrid radial basis function combines Multi-Quadric and cubic kernels to stabilize equation conditions while improving density distribution accuracy.

A seismic imaging method recovers macro-velocity models by calculating velocity difference functions from energy ratios of scattered waves.

A discrete fracture network model uses seismic amplitude variation with azimuth data to predict permeability and optimize well placement.

Machine learning model reconstructs low-frequency seismic data from incomplete measurements.

Fourier transform interpolation scheme processes seismic data to generate denser, regularly distributed datasets for improved imaging.

An annihilation filter estimates cross-talk noise in simultaneous source seismic data to preserve signal fidelity during deblending.

A computer system generates a depositional sequence volume from seismic data using categorized grid points and applied boundary conditions.

A method calculates microseismic hypocenters by separating received seismic waves into up-going and down-going components for location determination.

Merging sonic and ultrasonic measurements determines geological formation density while minimizing borehole irregularity errors.

Least-squares migration applies total variation regularization to reduce migration artifacts and broaden the wavenumber spectrum in seismic tomography.

Minimum spanning tree algorithm picks faults from seismic attribute data using a principle grid and seed selection.