Seismic Signal Processing TRIZ Cases

A computer-implemented method calculates shortest distances along fluid flow streamlines to match observed and simulated reservoir data.

Automatically detects heterogeneous seismic file parameters to normalize data, resolving format incompatibility issues across acquisition tools.

Estimating spatial varying wavelets via covariance interpolation in the data space, overcoming instability and inaccuracies from sparse well locations.

Reverse-time receiver motion correction computes upgoing and downgoing pressure wavefields at static observation levels for marine seismic surveys.

A method regularizes irregular seismic traces by mapping them to offset vector tiles and rotating azimuth sectors for uniform sampling.

A dip-based correction method reconstructs missing seismic traces by calculating azimuth and offset differences per sample.

Segmented acoustic processing suppresses noise to characterize fracture networks, resolving precision limits in deep wave imaging.

A system extracts geologic features from multiple offset and angle stacks to reveal lithology details missed in single-volume analysis.

Seismic data normalization using limited frequency ranges to derive corrected reservoir amplitudes without baseline surveys.

Correlating incident and back-scattered datasets generates virtual traces to remove surface waves, preserving structural image accuracy.

Radiation pattern correction aligns downgoing wavefield amplitudes to suppress interference and artifacts in complex near-surface seismic imaging.

Pseudo-surface pick locations refine seismic velocity models through measured-predicted log correlation, correcting horizontal borehole placement deviations.

Iterative segment combination creates stratigraphically realistic layers, resolving the contradiction between geological accuracy and computational complexity.

A marine seismic vibrator generates controlled sweep functions to produce sufficient acoustic energy for high-quality imaging.

Variance summation eliminates low-energy artifacts and SVD costs for accurate subsurface imaging.

Filtering water-column layering noise from seismic data improves bubble plume detection precision without requiring expensive high-frequency equipment.

Ray-tracing calculations determine beam parameters and time shifts to correct equipment misalignment, enabling accurate slant stacking of seismic data.

Decomposing analytic wavefields into directional components updates reflectivity models, resolving noise-induced convergence issues in seismic imaging.

Coherence cube edge detection isolates fault segments from noisy data, reducing manual interpretation time.

Axially offset multipole receivers determine fast and slow shear slowness during drilling, eliminating wireline operations.

Recombining amplitude and phase spectra from original and enhanced seismic traces preserves high-frequency content in output data.

Directional oriented wavefield imaging decomposes source and receiver analytic wavefields to compute azimuth and reflection angles for subsurface points.

Computer system reduces resonant noise in seismic data using time and frequency domain signal processing.