Seismic Water Property Estimation Using Coherence Analysis

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Solution Overview

Problem

Marine seismic surveys face challenges in accurately determining water properties such as velocity and source height due to uncertainties, which affect the positioning of subterranean structures like petroleum reservoirs, as these properties change over time and with varying water conditions.

Innovation Solution

A method is developed to estimate water properties by calculating travel times for seismic events, aligning data values, and determining coherence values using semblance analysis, allowing for precise determination of undetermined water property values like velocity and source height, thereby improving the accuracy of seismic data interpretation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional seismic survey methods are used, then water properties can be obtained through manual processing, but the labor costs are high and processing efficiency is low

Engineering Contradiction:
Improveprocessing efficiencyVSAvoidlabor intensity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system enables automatic estimation of water properties (velocity and source height) through self-service processing of seismic data. The computer automatically performs travel time calculations, coherence analysis, and property estimation without requiring manual intervention, thereby eliminating labor-intensive processing while maintaining high accuracy.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical processing with automated computational methods. Instead of human analysts manually measuring travel times and calculating water properties, the system uses computer algorithms to automatically process seismic data, calculate coherence values, and estimate water properties, thereby reducing labor costs and increasing processing efficiency.

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

2Measurement precision

If water properties are not accurately determined, then seismic survey speed can be maintained, but the positioning accuracy of subterranean structures deteriorates

Engineering Contradiction:
Improvepositioning accuracyVSAvoidsurvey time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary estimation of water properties (velocity and source height) directly from the seismic data before final interpretation. By calculating travel times and coherence values in advance, the system establishes accurate water property parameters that are then used to correctly position subterranean structures, thereby improving measurement precision without requiring additional survey time.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system uses coherence analysis to evaluate the quality of travel time measurements and iteratively refines the estimation of water properties. The coherence values provide feedback on the accuracy of preliminary estimates, allowing the system to adjust and optimize water property parameters until maximum coherence is achieved, thereby ensuring high positioning accuracy.

Inventive Principle:
Principle #23Feedback

3Measurement precision

If manual processing methods are used, then detailed analysis can be performed, but the labor costs increase and processing becomes more complex

Engineering Contradiction:
Improvewater property estimation accuracyVSAvoidprocessing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces complex manual processing procedures with automated computer-based algorithms. The system automatically performs travel time measurements, coherence calculations, and water property estimations that would otherwise require skilled manual analysis, thereby maintaining high measurement precision while significantly reducing processing complexity and labor requirements.

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

Solution Approach 2:

The system performs self-service processing by automatically analyzing seismic data to estimate water properties without requiring manual intervention. The computer autonomously calculates travel times, evaluates coherence values, and determines water velocity and source height, thereby achieving detailed analysis with minimal human involvement and reduced processing complexity.

Inventive Principle:
Principle #25Self-service

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This method enhances the accuracy of water property estimation, reducing labor costs and improving the reliability of seismic surveys by providing robust and non-labor-intensive data processing, applicable to both single and time-lapse 4D seismic surveys.

Implementation Method 1

Each acoustic signal is essentially a sound wavefield that travels through the water

Methodology Applied
Scientific EffectAcoustic wave propagation: Sound

Implementation Method 2

The seismic receivers thereby measure a wavefield that was ultimately initiated by the actuation of the seismic source

Methodology Applied
Scientific EffectWavefield detection: Sound

Data Source

PatentUS10401515B2Estimation of water properties from seismic data
Publication Date: 2019.09.03 PGS GEOPHYSICAL AS
  • US10401515B2 patent drawing
  • US10401515B2 patent drawing
  • US10401515B2 patent drawing

AI summary

A method for estimation of water properties from seismic data can include determining a number of travel times for at least one event based, at least in part, on predefined values for a plurality of water properties, determining an alignment of data values for each of the number of travel times determined for the at least one event, and determining an estimation of a plurality of undetermined water property values based, at least in part, on the alignment of the data values for each of the number of travel times producing a high quantitative measure of a coherence value.