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Title:

The Chimney Cube

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Chimneys and pock marks indicating focus areas of fluid flow. above the top reservoir ... reservoir, shallow reflectors and pock pock marks. Object detection ... – PowerPoint PPT presentation

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Provided by: paulmeldah
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Title: The Chimney Cube


1
A method using Neural networks and directive
attributes to detect and display fluid indicators
in seismic cubes Paul Meldahl Statoil ASA
2
ContentIntroductionExamples of detected
fluid indicatorsThe detection
methodConclusions
3
From the Gym Hall to the Virtual Reality
3D seismic interpretation require transparency
in the seismic cubes
Funn , Stig Kvendseth
4
3D interpretation require transparent seismic
cubes
How to increase the transparently of the
seismic cubes? Enhance, detect and display
selected classes of objects at a time.How to
enhance, detect and display selected class of
objects at a time ?Use our object detection
method founded on supervised neural network and
directive attributes
Object- detection
( )
A section from a seismic cube
A section from TheChimneyCube
5
Example of transparent seismic cubes
Chimneys and pock marks indicating focus areas of
fluid flow above the top reservoir
6
Fluid indicators may be diffuse and difficult to
distinguish
How to enhance and detect diffuse objects in the
seismic? Enhance, detect and display selected
classes of objects at a time.How to enhance,
detect and display selected class of objects at
a time ?Use our object detection method founded
on supervised neural network and directive
attributes
Object- detection
A section from a seismic cube
The same section after detection of seismic
chimneys
7
Example of transparent seismic cubes
Salt, seismic chimneys , reservoir, shallow
reflectors and pock pock marks
Object detection
8
Example of a transparent seismic cube seismic
chimneys on top of reservoir
9
Example of transparent seismic cubeSeismic
chimneys and faults indicate where the faults may
leak
10
Directivity principle in the detection method
The size and orientation of windows to extract a
set of attributes follow the objects we wish to
detect
Dip-steered for flexible bodies and interfaces
Vertical for chimneys
Dipping for faults
Horizontal for DHI s
11
The detection method Overview
12
The detection method Workflow
  • Read the seismic cube from the conventional
    seismic interpretation system
  • Choose one class of objects to be detected and
    the associated set of seismic attributes
  • Pick training points in the seismic cube on
    objects to be and not to be detected
  • Start the automated process of training neural
    network
  • Start the automated process of detection
  • Display the transparent cube where the selected
    class of objects are enhanced
  • Write the transparent cube back to the
    conventional interpretation system

13
Conclusions
  • Prediction of fluid flow by detection of Chimney
    and Faults may have impact in Exploration
  • Transparent seismic cubes show spatial relations
    between seismic objects
  • A powerful and flexible method for the Detection
    of Seismic Objects as Chimneys, Faults, 4D
    objects, Reflectors, Salt and DHIs Is
    presented
  • The detection is efficient because its user
    friendly and uses the combinations of directive
    attributes and supervised neural network
  • A challenge is to develop semi automated mapping
    procedures which take advantages of transparency

14
From real sniffing to seismic sniffing by
neural networks and directive seismic attributes ?
From The Prize by Daniel Yergin
15
Acknowledgement To Statoil and dGB for making
object detection a reality
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