3D Seismic Object Delineation via Hybrid Active Contour and Level Set Segmentation

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Solution Overview

Problem

Current 3D geological object delineation techniques from seismic data are computationally simple and unreliable due to poor contrast and signal ambiguities, failing to accurately represent geological elements essential for oil and gas exploration viability.

Innovation Solution

A hybrid method combining active contour and level set segmentation techniques, allowing for simultaneous explicit and implicit representations of 3D objects, incorporating multiple characteristics and expert-driven methods to improve delineation accuracy and robustness.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If thresholding and connected component analysis are used for 3D geobody delineation, then the method is computationally simple, but the reliability is poor due to poor contrast and signal ambiguities

Engineering Contradiction:
Improvecomputational simplicityVSAvoiddelineation reliability
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The patent combines multiple segmentation techniques (thresholding, connected component analysis, region growing, neural network classification) into a hybrid system that integrates their strengths while compensating for individual weaknesses, thereby improving reliability without sacrificing computational simplicity

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent creates a composite segmentation approach that integrates multiple methodologies (active contours, level sets, neural networks) into a unified system, analogous to composite materials, where each component contributes specific properties that together achieve superior delineation reliability

Inventive Principle:
Principle #40Composite materials

2Ease of operation

If active contour based techniques are used, then explicit object representation enables topological constraints to be integrated, but the method is less capable of dealing with topology changes compared to level sets

Engineering Contradiction:
Improvetopological constraint integrationVSAvoidtopology change handling
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

The patent merges active contour methods (which excel at integrating topological constraints through explicit representation) with level set methods (which excel at handling topology changes), creating a hybrid system that leverages the strengths of both approaches simultaneously

Inventive Principle:
Principle #5Merging (Combining)

3Adaptability or versatility

If level set methods are used for segmentation, then implicit object representation handles topology changes well, but the computational overhead is significant and topological constraints are harder to integrate

Engineering Contradiction:
Improvetopology change handlingVSAvoidcomputational overhead
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent combines level set methods with active contour techniques, allowing the system to handle topology changes effectively through level sets while reducing computational overhead by selectively applying active contour constraints where appropriate

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent applies different representation methods locally - using explicit active contour representation in regions where topological constraints are critical and implicit level set representation in regions where topology changes are expected, thereby optimizing computational resources

Inventive Principle:
Principle #3Local quality

4Measurement precision

If sophisticated segmentation techniques are used to overcome poor contrast and signal ambiguities, then delineation accuracy improves, but the computational complexity increases

Engineering Contradiction:
Improvedelineation accuracyVSAvoidcomputational complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent integrates multiple segmentation techniques into a unified hybrid system that achieves high delineation accuracy by combining the complementary strengths of each method while managing computational complexity through coordinated operation

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent divides the segmentation process into distinct stages, each employing appropriate techniques for that stage (e.g., initial segmentation using thresholding, refinement using active contours, topology adjustment using level sets), thereby achieving high accuracy without requiring all techniques to operate simultaneously at full complexity

Inventive Principle:
Principle #1Segmentation

Data Source

PatentEP2659291B1Improvements in 3D object delineation
Publication Date: 2015.02.18 FOSTER FINDLAY ASSOCIATES LTD
  • EP2659291B1 patent drawingFigure 1
  • EP2659291B1 patent drawingFigure 2
  • EP2659291B1 patent drawingFigure 3

AI summary

Disclosed is a method of 3D object delineation from 3D seismic data comprising the steps of, providing 3D seismic data (144,200,300; processing the data (210,310) based on at least one characteristic (320) whereby said characteristic is extracted from the data and compared with at least one reference characteristic and delineated (330) based on the comparison, and defining a geological element (340) based on the delineation. The characteristics (320) may be adjusted. Data can be processed (210,310) based on one characteristic (222,232) then processed based on a second characteristic (224,234) or data is processed based on two characteristics substantially simultaneously (252). Data may be processed n times (246) producing n delineations from which the geological element is defined (260). An algorithm is provided for processing the data which may shift an evolving shape description of an object between explicit (222,234) and implicit (224,232) representations, where each shift applies a transformation to the object. Multiple sources of data (200,200', 200") may be utilised simultaneously to drive the delineation process.