Seismic Signal Processing TRIZ Cases

Reverse time migration replaces disk I/O with local memory to eliminate bottlenecks.

Two-way imaging decomposes wavefields into propagating components to generate dip-specific structure images.

A wavelet transform intercept attribute calculates seismic trace values using least squares regression on Morlet wavelet coefficients.

A modified linear least squares Radon algorithm models seismic data to remove receiver ghosts without requiring a velocity field.

Multi-shot wavefield reconstruction fills spatial coverage gaps caused by streamer deviation, enhancing subsurface imaging resolution.

Distinct acoustic modes with different sensitivities enable joint inversion of measured slownesses, resolving ambiguity in parameter identification.

Space-time domain matrix separates P and S waves, resolving statics sensitivity in irregular sampling.

Segmented emitting and receiving probes enable rapid panoramic imaging of complex geological structures while suppressing noise.

Frequency domain resampling removes temporal numerical dispersion from seismic data, improving RTM and FWI accuracy while reducing computational costs.

A directional receiver rotates seismic data into the true earth frame using an estimated relative bearing angle to extract polarization vectors.

Dynamic warping connects predicted and observed wave fields in full waveform inversion, mitigating cycle-skipping errors during velocity model updates.

A terrain correction method applies a 3D Cauchy-type surface integral to potential field geophysical survey data.

A processing system generates synthetic reflectivity gathers from vertical well logs to adjust surface seismic data for high resolution.

Bounded variable least squares inversion determines meaningful bounds on porosity, shale content, and water saturation.

Integrates dipole shear-wave slowness peaks and empirical relations to predict compressional wave velocities, reducing false positives in noisy acoustic logs.

Filtering outlier and low-density microseismic events improves SRV estimation accuracy, reducing treatment overlap.

Scholte wave generation at the wellbore wall enables accurate fracture localization and differentiation of healed fractures despite low acoustic contrast.

An adaptive structure-oriented operator dynamically adjusts its geometry to align with local geological dip and strike vectors.

Frequency-domain waveform fitting automates microseismic event location by eliminating subjective time picking and utilizing complete polarization vectors.

A seismic data processing method uses a matching filter cost function to iteratively update reflectivity and velocity models.

A self-tuning sonic transmitter identifies optimal acoustic frequencies to enhance downhole formation data quality.

A simultaneous inversion system estimates surface-consistent amplitude scalars and deconvolution operators using a single least squares iteration pass.

Selective wavefield snapshot storage reduces memory requirements while maintaining image quality by offloading computation to co-processors.

A guided Bayesian experimental design method calculates sensitivity matrices to select optimal physical observations.

Surface-consistent refraction analysis automates near surface corrections through simultaneous inversion of shot and receiver time shifts.

Near-continuous seismic recording captures wavefields from varied source activations to generate broadband common-receiver gathers.

Wave equation deconvolution isolates primary seismic signals by subtracting calculated internal multiples, improving subsurface imaging accuracy.

A self-adaptive acoustic logging process isolates refracted P-waves to determine compressional and shear slowness with high precision.

Segmenting prospects into dependency groups allows accurate posterior chance of success estimation by modeling anomaly correlations.

Incorporates geological-dynamic a priori information into inversion to improve accuracy of saturation and pressure estimation.

An active seismic method uses a controlled source and biaxial geophones to measure Rayleigh wave ellipticity, resolving non-uniqueness in passive HVSR analysis.

A stress modeling approach infers nearby fault locations from wellbore breakouts without direct penetration.

Segmenting continuous source seismic data into portions enables efficient simulation, resolving computational complexity while maintaining data completeness.

Seismic dip angle analysis maps fracture distribution to predict sandstone uranium deposits despite complex geological blind spots.

Near-field acoustic signals estimate zero-offset data, eliminating numerical extrapolation errors in marine seismic surveys.

A neural network reconstructs missing frequency bands in geophysical datasets by training on sparse survey data.

Weighting functions normalize gradient vectors in waveform inversion to distribute frequency components equally.

Inverse-Q filtering corrects earth absorption and surface-consistent filters remove noise to restore broadband zero-phase wavelets.

Automated seismic interpretation guides iterative inversion, reducing non-uniqueness and computational costs in subsurface modeling.

Transforms base survey data into a curvelet domain to reconstruct fully sampled monitor datasets for accurate 3D reservoir imaging.

Interferometric processing calculates low-frequency Green's functions from surface waves to resolve vibroseis size limitations and improve subsurface imaging.

Seismic trace correlation establishes links between sampling points to reconstruct geological models, managing faults and reducing propagation drifts.

Segments inversion into data-driven and model-constrained parts to resolve long wavelength indeterminacies in seismic processing.

Decomposes wavefields into opposite directions to multiply components, suppressing reflectors and reducing computational cost for 3D seismic imaging.

Automated horizon extraction tracks seismic events using seed points sorted by absolute amplitude values, replacing manual picking to reduce processing time.

Position-dependent band-pass filters attenuate mechanical noise by targeting specific velocity ranges, preserving seismic signals of interest.

A joint inversion method partitions subsurface regions by geophysical parameter similarities to infer geological properties without prior lithology assumptions.

Acoustic sensors on the drill bit capture signals to derive scalars, enabling accurate rock property measurement despite system complexity.

Non-stationary matching filters invert pseudo-Hessian matrices to compensate attenuation, reducing Hessian condition numbers and iteration counts.

Computer method corrects vertical exaggeration in 2D cross sections to measure true fault inclination.