Seismic Signal Processing TRIZ Cases
- Seismic Convolution Gathers for Surface-Related Multiple Removal
Offset gathers and trace index maps support iterative convolution to predict and remove surface-related multiples from seismic data.
- Corrected Local Traveltime Operators for Sparse Seismic Wavefield Imaging
Statistical correction of local traveltime operators reconstructs wavefronts and clarifies subsurface structures from sparse seismic data.
- Subsurface Fracture Spacing Analysis for Data-Driven Well Placement
Discontinuity and layering data are filtered and analyzed to predict fracture spacing, guide geomodeling, and target drilling.
- Seismic Dip Decimation for Efficient, Accurate RGT Image Computation
Full-resolution seismic dips guide decimated horizon surfaces, reducing processing volume while preserving RGT image accuracy.
- Post-Stack Seismic Mapping for Near-Surface Feature Detection
This case maps surface hazards and artifacts from post-stack seismic cubes, reducing manual QC and avoiding inversion steps.
- 3D Seismic Velocity Estimation with Encoder-Decoder Networks
Training on 5D seismic data enables rapid 3D velocity models for seismic imaging and reservoir interpretation.
- 3D Nonlinear Seismic Conditioning With Trained Dictionaries
A 3D complex wavelet transform and sparse dictionary approximation attenuate coherent noise while improving seismic image quality.
- Seismic Imaging with Temporal Decomposition for Noise Reduction
Temporal gating reduces seismic imaging noise and cuts computational demands.
- Synthetic Horizon Updating in Subsurface Models Using Distance Ratios
Update synthetic horizons faster by applying stored distance ratios to changed horizons.
- Deep-Sea Multibeam Sediment Classification Using Echo Waveform Features
Multibeam water-column features, waveform matching, and soft classification improve mapping of mixed deep-sea sediments.
- Low-Frequency Seismic Reconstruction for Noise-Free Formation Imaging
Reconstruct low-frequency seismic data to improve formation images and velocity models.
- Energy Band Acoustic Processing for Real-Time Lithology Identification
This case partitions drilling acoustic spectra into energy bands, reducing noise and uncertainty for more precise lithology identification.
- Machine Learning Velocity Models for Accurate Seismic Depth Imaging
A trained model selects seismic reflectors and iteratively refines velocity models to align depth values with well data.
- Seismic Signal Denoising Using Virtual Super Gather Waveforms
Statistical pilot waveforms train a machine-learning model to denoise seismic data and improve imaging precision and resolution.
- Neural Network Green's Function Prediction for Subsurface Seismic Imaging
Neural networks predict Green's functions to accelerate complex seismic imaging.
- Full-Waveform Inversion with Matching Matrices for Local-Minimum Avoidance
A cost and matching matrix guides iterative gradient updates, reducing initial-model precision demands in seismic velocity inversion.
- Nonlinear Amplitude Transforms for Complex Seismic Velocity Modeling
Nonlinear amplitude transforms improve seismic velocity modeling in complex subsurface regions.
- Paleogeographic Model Validation Using Seismic Attribute Feedback
Calibrate paleogeographic surfaces with seismic attributes to reduce model uncertainty.
- Bayesian Seismic Fault Detection With Uncertainty Analysis
Bayesian neural networks improve seismic fault detection by quantifying uncertainty, helping guide drilling locations and well selection.
- Fourier Anti-Leakage Seismic Interpolation With Efficient Impulse Removal
Iterative impulse removal cuts ALFT costs while preserving seismic image quality.
- Converted-Wave Statics Estimation Using PP-Guided PS Corrections
This case uses PP-target events and objective-function optimization to estimate PS-receiver statics for accurate seismic imaging.
- Seismic Velocity Prediction from Clustered Data for Faster FWI
Clustered seismic data accelerates velocity prediction while preserving imaging detail.
- Seismic Volume Combination Using Phase-Aligned Broadband Filtering
This case merges spectrally shaped FWI and migrated volumes to broaden seismic bandwidth for cleaner reservoir characterization.
- Wavefield Travel-Time Inversion Using Eikonal First-Arrival Picks
This case uses an eikonal solver and travel-time inversion to refine near-surface velocity models for well location.
- Neural Network Fault Polygon Extraction for Accurate Seismic Mapping
Automated neural-network analysis of seismic attributes identifies faulted areas and generates polygons faster and more accurately.