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.

Multispectral variance processing generates frequency-dependent volumes to enhance subsurface feature clarity.

Wavefield separation and higher-order reflections resolve survey accuracy limits in sparse seabed sensor arrays, reducing equipment complexity.

Aligning marine seismic gathers to isolate coherent residual acoustic energy for precise model subtraction and noise reduction.

Predictive deconvolution generates synthetic gathers to map near-surface velocities, resolving noise contamination and missing offset traces.

Matching pursuit decomposes seismic data into frequency-wavenumber components, resolving the trade-off between processing speed and image accuracy.

Curvelet matched filter estimates inverse Hessian operator to correct amplitude imbalance and blurring in subsurface reflectivity models.

A data processing system generates a seismic quality factor model using vertical seismic profile traces and surface reflection data.

Dip-guided weighting functions selectively stack seismic images, attenuating noise from steeply dipping interfaces to improve reservoir identification.

Automated 4D median filtering and velocity inversion generate subsurface depth models, eliminating manual intervention that slows processing.

Spline functions model seismic horizon surfaces by aligning local orientations with measured dips.

Transform marine seismic data into the Tau-P domain to isolate interference noise patterns for precise removal.

Varying shot spacing and time delays in four component ocean bottom cable acquisition removes Scholte wave aliasing to improve shear wave estimation.

Frequency spectral decomposition separates noise from reservoir signals in 3D seismic data, improving fluid content accuracy.

Remote radar measures time-varying wave height to characterize ghost data, correcting sensor depth variations and improving subsurface imaging clarity.

Acoustic imaging system extracts reflected waveform data to map subsurface formation features.

Subtracts modeled direct wave energy from passive near-field hydrophone recordings to separate reflection events and generate zero-offset seismic traces.

A combined mean regression function predicts subsurface permeability using quantile regression coefficients.

Synthetic second component generation enables polarization filtering on single component seismic data for interface wave attenuation.

Crossline measurement data determines crossline energy levels to select optimal 2D, 2.5D, or 3D processing techniques.

A method calculates shear wave velocity along the symmetry axis using quasi-shear measurements from a sonic tool.

Segmented wireless architecture enables synchronous detection and real-time inversion, reducing data transmission volume and calculation latency.

Limited aperture hybrid Radon transform separates reflection and diffraction data in the dip-angle domain.

Segmented spatial windowing and inversion separate coherent noise from primary reflections, enhancing subsurface image reliability.

Calculating effective elastic parameter values enables isotropic-type processing of seismic data from complex underground formations.

Recursive aperture extension based on calculated dips eliminates surface-related multiples while minimizing computational overhead.