Seismic Signal Processing TRIZ Cases

Segmented deep neural networks classify seismic waveforms to constrain parameter prediction, resolving overfitting and low accuracy in depth-domain analysis.

Seismic trace analysis blends instantaneous frequency and amplitude attributes to differentiate thick hydrocarbon-bearing sands from water sands.

Segmenting seismic data isolates interference in a residual portion for targeted attenuation, preserving reflection energy and reducing signal leakage.

A multi-scale photoacoustic detection system combines optical imaging with acoustic wave data to generate velocity models for geological structures.

A downhole sonic tool uses motion sensor data to estimate and remove tool-borne noise from pressure signals.

Smart streamer steering devices actively control cable orientation during vessel turns to enable continuous wide-azimuth seismic data collection.

Asymmetric marine seismic source configurations enhance crossline resolution while preserving baseline repeatability for accurate 4D subsurface monitoring.

Maximum likelihood estimation locates microseismic events using simulated waveform models to filter correlated noise and determine seismic moment tensors.

Automated machine learning denoises microseismic waveforms with synthetic dictionaries, replacing cumbersome manual engineering workflows.

Fast sweeping method updates attenuated travel times across a grid, resolving accuracy limits in ray-based approaches while reducing memory requirements.

A downhole acoustic logging tool generates guided borehole waves that propagate into the formation as body waves and reflect from interfaces.

Constrained seismic inversion determines rock properties within identified geobodies to update earth and velocity models.

A visco-acoustic reverse time migration model corrects seismic wave propagation in tilted transverse isotropy media.

Wave-equation deconvolution generates demultiple data by subtracting modeled multiples, resolving shallow water amplitude errors.

Multi-scale optimization extracts seismic horizons using sparse global grids and local adjustments, reducing computational intensity for large datasets.

Extracts constant-phase and minimum-phase wavelets from normalized seismic velocity and acceleration signals.

Pre-computed ray paths link offset-dependent time shifts to model parameters, improving measurement precision without re-tracing during inversion.

A downhole tool system uses Stoneley wave temporal measurements to calculate distance to the borehole bottom.

Transforms subsurface saturation data into front location and sweep intensity parameters for efficient history matching.

Sorting seismic data into common mid-point gathers to estimate trace differences between surveys.

A hybrid analytic inversion and deep neural network approach estimates petrophysical property values from seismic survey data.

A clustering algorithm links seismic attribute objects to identify prospective hydrocarbon reservoirs.

Virtual seismic sources derived from unintentional energy reconstruct data in inaccessible zones, resolving accessibility constraints.

Five-dimensional angle-domain common-image gathers process vertical seismic profile data to overcome noise and limited angle coverage in subsurface imaging.

Continuous picking of multi-Z horizons through a graphical user interface for seismic data visualization.

Redatuming seismic traces aligns wavefield sampling to reduce 4D noise from mismatched reflection points.

Partial match filtering replaces raw seismic data in the objective function to prevent cycle skipping during model convergence.

Automated seismic processing workflow uses a recommendation engine to select optimal geophysical parameters.

A 3D harmonic-source reverse time migration method uses phase encoding to reduce seismic shot counts.

Acoustic impedance inversion calculates effective stress volumes from seismic data, reducing computational costs and improving drilling safety.

Hough tensor analysis detects extraneous noise in seismic data streams using eigenvalue comparison.

Combines direct-path and head-wave arrival times via a probabilistic framework to reduce depth estimation errors by a factor of 10.

A constrained polarization filtering method isolates surface wave noise from multi-component seismic data using time-frequency analysis.

Estimating bubble position as a function of time corrects notional source signatures, resolving motion effects that degrade near-field measurement accuracy.

A hybrid method combines ray-based and finite-element approaches to approximate seismic wave propagation through complex volumes.

A spectral shaping filter aligns the gradient of the cost function with the target subsurface frequency spectrum to accelerate model generation.

A buried three-component receiver separates primary and ghost components from S-waves to compute subsurface images.

Acoustic logging tool subtracts coherent noise from echo signals to improve cement quality assessment accuracy.

Long offset sources enable basement refraction that overcomes insufficient angles in subsalt sediments.

Iterative full wavefield inversion extracts geobodies to build a Q model, correcting velocity estimates for localized attenuation anomalies.

Segmented scaling filters handle aliased energy in cross-streamer directions, resolving incorrect component separation without explicit trace interpolation.

Simultaneous inversion merges migration operators into the algorithm to resolve trade-offs between imaging precision and model reliability.

A computer system dynamically calculates horizon-based stratal slices and generates attribute renderings using an interactive cursor.

Ray tracing computes azimuthal angles from ray directions to extract reflection point information, avoiding wave equation computational costs.

A processing system applies reciprocity to interpolate sparse receiver data into dense grids.

A seismic analysis system computes structure-oriented attributes to detect hydrocarbon elements.

Separates up-going and down-going wavefields to reduce crosstalk in low signal-to-noise ratio surveys.