Seismic Signal Processing TRIZ Cases

A reservoir grid analysis method uses 4D seismic images to calculate fluid flow paths and correct geological property values.

Overlaying seismic section views extracts cross-plot data points, resolving analysis complexity while maintaining hydrocarbon identification accuracy.

A seismic processing method estimates water velocity and source height through automated travel time alignment.

A seismic processing method convolves input trace pairs to predict surface multiples without requiring structural models.

Gradient sensors measure spatial wavefield derivatives to reconstruct translational seismic data, reducing dense array deployment costs.

Virtual source construction generates dense angle gathers from sea surface reflections, resolving inadequate angular illumination in marine seismic surveys.

A least-squares migration method applies non-stationary filters to raw migrated data for subsurface imaging.

Weighted receiver and source group keys balance seismic signal amplitudes across varying coupling conditions.

An iterative training method reduces false positives in seismic data interpretation by continuously updating the backpropagation model with computed inferences.

A data-driven inversion method estimates anisotropic constants and mud slowness from borehole sonic measurements.

Segmented pump-probe acoustic systems characterize mechanically damaged regions and crack conduits in reservoir formations.

A 3D norm zero optimization process groups raw geophysical data into subsets to generate smoothed outputs for subsurface modeling.

Seismic-tie regularization constraint merges 2D survey lines into a unified inversion process, resolving inconsistent seismic images at intersecting points.

Principal component analysis decomposes seismic data into orthogonal components to isolate structural signals from noise.

Deconvolving total source wavefields from upgoing pressure data to isolate signal components.

Processes multi-depth seismic data to remove sea perturbations, enabling accurate hydrocarbon deposit location identification.

Time domain wavelet extraction and deconvolution processing for seismic data analysis.

Light monitor survey targets optimal source-receiver locations to resolve the contradiction between measurement precision and survey speed.

Cross-correlated passive seismic signals constrain hypocenters and reflectivity models, resolving ambiguous imaging results without controlled energy sources.

Segmenting prediction into initial estimation and residual correction improves measurement precision without increasing system complexity.

Laplacian filtering removes low-frequency and low-wavenumber noise to improve lateral resolution in complex geological imaging.

A match filter derived from shallow streamer data compensates seismic reflections recorded by deeper sensors.

A seismic processing method uses an inactive source array to record and subtract ocean bottom contamination from active near-field recordings.

A designature methodology corrects directional dependence in marine seismic data by applying orientation-specific filters.

A computer-based method creates petro-elastic models by inferring rock properties directly from seismic amplitude attributes.

An adaptive receiver deghosting system reconstructs dense upgoing wavefields using tunable parameters and time-shift matrices.

A multi-domain approach constructs a depth-domain kernel matrix from common image gathers to reconstruct subsurface attenuation profiles.

A seismic deghosting method estimates wave height from recorded data to correct ghost reflections without external sensors.

Homogeneous calibration bodies reduce mismatch errors between estimated and inverted seismic data, improving subsoil characterization accuracy.

Sparse curvelet inversion extracts deblended seismic datasets from simultaneous source signals, resolving processing complexity in land surveys.

Multi-stack wavelet estimation reduces labor intensity and stack variability through automated optimization of amplitude and phase constraints.

A processing system extracts shear mode data from vertical seismic records using single-component geophones.

Invert Stoneley and dipole shear slowness differences to resolve near-wellbore permeability barriers, enabling accurate reservoir evaluation.

Adaptive operators estimate ghost models and upward-going wavefields simultaneously using sparse tau-p transformation.

Dual-stage wavefield separation combines independent pressure processing with constrained particle motion filtering to eliminate noise-induced imaging errors.

A uniform spherical spiral coordinate system maps seismic data to reduce dimensionality.

A phased array transducer module emits circular wavefronts to measure acoustic propagation time between sensors.

Simultaneous multi-vintage seismic inversion uses pre-computed time shift maps to align traces and constrain geophysical property perturbations.

Acoustic 3-D full-waveform inversion generates high-resolution velocity fields from marine seismic data.

A novel acoustic wave equation parameterizes velocity and reflectivity directly to simulate transmitted and reflected components without density models.

Vectorization scheme accelerates high-dimensional FFT processing for elastic wave propagation, overcoming slow conventional algorithm efficiency.

A microseismic velocity model generation system uses historical data classification to create initial subsurface models.

Segments subsurface models into distinct zones with specific criteria to resolve computational time versus measurement precision trade-offs.

Characteristic wavefields stabilize direction vector methods, resolving instability in complex subsalt environments while reducing computational costs.

A data acquisition apparatus uses a frequency adapter and interpolation filter to correct sampling errors from local clock drift.

A probabilistic approach identifies seismic traces prone to cycle-skipping, allowing full waveform inversion to converge to global minima.

Decomposes pressure and velocity wavefields into up-going and down-going components to enable accurate extrapolation despite spatial aliasing disruptions.

Extracts angle information from multiples wavefields using pre-stack depth migration to correct attributes and reduce noise in marine seismic survey data.

This isotropic wave-mode-independent attenuation model reduces computational complexity by unifying P-wave and S-wave parameters, enabling faster subsurface imaging.