System and method for optimizing seismic data analysis
First Claim
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1. A method, comprising:
- accessing a seismic image comprising a plurality of features of interest;
defining a plurality of configuration files for a plurality of graphical models;
applying the plurality of graphical models to the seismic image;
generating a plurality of scores for each feature of interest, wherein each graphical model generates a score for each feature of interest, and wherein each score is representative of each respective feature'"'"'s degree of agreement with one of the plurality of graphical models;
combining the plurality of scores for each feature of interest into a plurality of combined scores, wherein each feature of interest has a combined score; and
ranking the plurality of features of interest based on the plurality of combined scores.
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Abstract
A method includes accessing a seismic image comprising a plurality of features of interest. The method also includes defining a plurality of configuration files for a plurality of graphical models. The method further includes applying the plurality of graphical models to the seismic image. The method also includes generating a plurality of scores for each feature of interest, wherein each graphical model generates a score for each feature of interest. The method further includes combining the plurality of scores for each feature of interest into a plurality of combined scores, wherein each feature of interest has a combined score.
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Citations
18 Claims
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1. A method, comprising:
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accessing a seismic image comprising a plurality of features of interest; defining a plurality of configuration files for a plurality of graphical models; applying the plurality of graphical models to the seismic image; generating a plurality of scores for each feature of interest, wherein each graphical model generates a score for each feature of interest, and wherein each score is representative of each respective feature'"'"'s degree of agreement with one of the plurality of graphical models; combining the plurality of scores for each feature of interest into a plurality of combined scores, wherein each feature of interest has a combined score; and ranking the plurality of features of interest based on the plurality of combined scores. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system, comprising:
a processor, configured to; access a seismic image comprising a plurality of features of interest; define a plurality of configuration files for a plurality of graphical models; apply the plurality of graphical models to the seismic image; generate a plurality of scores for each of the plurality of features of interest, wherein each graphical model generates a score for each feature of interest, and wherein each score is representative of each respective feature'"'"'s degree of agreement with one of the plurality of graphical models; combine the plurality of scores into a plurality of combined scores for the plurality of features of interest; and rank the plurality of features of interest based on the plurality of combined scores. - View Dependent Claims (9, 10, 11, 12)
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13. A method comprising:
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accessing a seismic image comprising a plurality of features of interest; defining a plurality of configuration files for a plurality of graphical models; applying the plurality of graphical models to the seismic image, comprising acts of; generating a plurality of scores for each feature of interest, wherein each graphical model generates a score for each feature of interest, and wherein each score is representative of each respective feature'"'"'s degree of agreement with one of the plurality of graphical models; and generating a plurality of rankings of the plurality of features of interest for each graphical model based on the plurality of scores; and combining the plurality of rankings into a respective combined ranking for each feature of interest. - View Dependent Claims (14, 15, 16, 17, 18)
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Specification