De-aliased Source Separation in Marine Seismic Imaging

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Solution Overview

Problem

Current marine seismic surveying techniques face challenges in separating recorded signals from multiple simultaneously emitting sources, known as the 'simultaneous source problem, which hinders efficient 3D reflection seismic imaging of complex Earth subsurface structures.

Innovation Solution

The method employs modulation techniques, coordinate transformations, and cyclic convolution to separate wave fields generated by multiple sources in the frequency-wavenumber domain, utilizing concepts like seismic apparition and NMO correction to isolate and de-alias signals, allowing for the reconstruction of individual source data from blended recordings.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If multiple sources emit signals simultaneously to increase data acquisition efficiency, then productivity is improved, but the recorded signals become aliased and mixed making source separation difficult

Engineering Contradiction:
Improvedata acquisition efficiencyVSAvoidsignal separation accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent applies periodic modulation to at least one of the multiple sources, causing the sources to emit signals in a periodic pattern rather than continuously. This periodic action creates distinct temporal signatures for each source, enabling separation of their contributions to the blended signal while maintaining simultaneous operation for improved productivity

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The patent modulates parameters such as frequency, amplitude, or phase of the signals emitted by multiple sources. By changing these parameters periodically or in distinctive patterns, each source's signal becomes identifiable within the blended recording, resolving the aliasing problem while maintaining simultaneous emission for efficient data acquisition

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If sources are activated sequentially to avoid signal mixing, then measurement precision is improved, but loss of time increases due to slower data acquisition

Engineering Contradiction:
Improvesignal separation accuracyVSAvoiddata acquisition time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent enables continuous simultaneous operation of multiple sources through modulation techniques. Instead of sequential activation, multiple sources operate continuously and simultaneously with modulated signals that can be separated afterward, eliminating idle time between source activations and dramatically reducing total data acquisition time while maintaining signal separation capability

Inventive Principle:
Principle #20Continuity of useful action

3Measurement precision

If modulation techniques are applied to separate source signals, then signal separation accuracy is improved, but device complexity increases due to additional processing requirements

Engineering Contradiction:
Improvesource separation accuracyVSAvoidsignal processing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces complex mechanical or physical separation systems with signal processing-based separation using modulation techniques. Instead of physically separating source signals through complex hardware, the invention uses mathematical transformations and spectral analysis to separate modulated signals, reducing mechanical complexity while improving separation accuracy

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11029432B2De-aliased source separation method
Publication Date: 2021.06.08 APPARITION GEOSERVICES GMBH
  • US11029432B2 patent drawing
  • US11029432B2 patent drawing
  • US11029432B2 patent drawing

AI summary

Methods are described for separating the unknown contributions of two or more sources from a commonly acquired aliased wave field signals including the determination of models with reduced support in the frequency-wavenumber domain which reconstruct the wave fields of independently-activated sources after a coordinate-transform of the acquired wave field data and/or in a coordinate-transformed domain.