Seismic Signal Processing TRIZ Cases

Simultaneously corrects deviation and dispersion effects on sonic logs via Thomsen parameters, validating accuracy through rock physics cross-plots.

A time-variant deghosting filter attenuates ghost reflections in seismic trace data using cost function constraints.

Automated seismic wave arrival picking corrects polarity reversals to resolve manual time consumption and measurement precision trade-offs.

Pre-fetches seismic data segments into local memory, eliminating slow retrieval bottlenecks during large dataset interpretation.

Logging tool measures shear wave velocity and polarization angles to differentiate intrinsic from stress-induced anisotropy.

A datum layer propagates separated wavefields to virtual receiver locations, eliminating ghost reflections from shallow streamer surveys.

Segment seismic data into common-diffraction-point gathers to maintain wave field consistency and eliminate additional migration algorithms.

A look-ahead vertical seismic profile workflow calculates a time and depth variant quality factor to compensate for signal attenuation.

Iterative level sets tracking identifies first breaks onset times to eliminate noise interference and generate accurate velocity models.

A seismic processing method generates feature traces from gathers to calculate correlation traces modified by activation functions.

Residual moveout analysis iteratively updates velocity models to resolve image alignment errors in vertical seismic profile depth migration.

Transfer function estimates direct arrival signals at receiver-free locations using predicted signatures and near-field measurements.

Mono-frequency seismic volumes isolate specific signal components to enhance reflection continuity for precise geological mapping.

A processing system extracts fault surfaces from seismic attribute volumes using calculated dip and azimuth values.

Depth migration scales initial velocity models to resolve imaging accuracy and processing complexity trade-offs below salt layers.

One-return wave equation migration reconstructs partial images from turning and duplex waves to resolve overhanging salt boundaries.

Time-frequency masks restore high-frequency content damaged by SNR enhancement, widening the frequency band to resolve finer subsurface structures.

Merges multiple offset stacks to capture geological attributes missed by single-stack selection.

Migration of horizontal wavefield components reduces receiver array complexity while improving spatial coverage and image quality.

Combining dipole and zero-phase monopole sources creates a directional sub-wave that improves velocity model accuracy for seismic imaging.

Corrects acoustic impedance volumes by merging seismic data with high-frequency well-log measurements.

Five-dimensional angle-domain common-image gathers compute four angular attributes to resolve noise and limited angular coverage in borehole seismic data.

Global inversion methodology determines distributed acoustic sensing channel positions using seismic travel time data.

Neural network processors detect aliased signatures in the Fourier domain and generate frequency masks, resolving aliasing identification accuracy issues.

Inversion system calculates anisotropy parameters using compressional and shear-wave slowness data from deviated boreholes.

Dispersion curve filtering isolates vibration noise components in the frequency-wavenumber domain, suppressing interference that obscures hydrocarbon signals.

A single component seismic filtering method attenuates interface waves using time-frequency domain analysis.

A server processes passive elastic wave signals from traffic to derive S-wave velocity models.

A crosswell calibrated velocity model system locates microseismic events in anisotropic formations.

Beam tomography corrects velocity models by cross-correlating data and modeled beams, reducing sensitivity to minor velocity details.

Synthetic seismic modeling bridges actual data and fill properties to resolve insufficient measurement precision in carbonate rock caverns.

Updates density and velocity models separately using reflection data gradients, extending subsurface exploration depth beyond diving wave limits.

Resamples seismic porosities into a 3D geological fine layer model grid for accurate subsurface representation.

Segmenting blended signals by predetermined sequences resolves cross-talk interference, improving depth determination accuracy for subsurface imaging.

A multi-modal geological detection system integrates seismic, induced polarization, and ground penetrating radar sensors on a tunnel boring machine.

Synthetic data generation fills missing recorded gaps to treat free-surface multiples as signal, resolving noise and cross-talk issues.

A combined source-and-receiver wavefield propagation operator moves complex wavefields between depth levels to extract real components.

Rock physics expansion of dry-frame properties calibrates seismic data to map low-porosity reservoirs beyond sparse well log coverage.

A pre-stack high-angle fast Fourier transform method processes seismic data to achieve precise imaging of steep geological structures.

Sparse domain segmentation computes forward models on subset parameters to reduce computational time and resource usage during geophysical inversion.

Surface logging data drives predictive models to assess frackability probabilities, eliminating costly delays from traditional well log operations.

Inverting azimuth-dependent travel times estimates fracture attributes while minimizing overburden artifacts through differential horizon analysis.

Transforms seismic data into the frequency-wavenumber domain to remove sea-surface multiples where traditional moveout methods fail.

Estimates propagation parameters using noise covariance matrices to resolve measurement precision versus device complexity trade-offs.

A hybrid boundary condition method combines zero-symmetry-axis-tilt PML on top and bottom surfaces with ABC layers on side boundaries.

Corrects seismic data using a dynamic free surface reflection operator that accounts for variable air-water interface changes without continuous measurements.