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Unsupervised pre-stack seismic facies analysis constrained by spatial continuity

Seismic facies analysis plays important roles in geological research, especially in sedimentary environment identification. Traditional method is mainly based on seismic waveform or attributes of a single seismic gather to classify the seismic facies. Ignoring the correlation between adjacent seismic gathers leads to poor lateral continuities in generated facies map, which cannot fit the sedimentary characteristics well. In fact, according to sedimentology theory, the horizontal continuities of the stratum can be utilized as priori information to provide more information for waveform classification. Therefore, we develop an unsupervised method for pre-stack seismic facies analysis, which is constrained by spatial continuity. The proposed method establishes a probabilistic model to characterize the correlation between neighboring reflection elements. Subsequently, this correlation is used as a regularization term to modify the objective function of the clustering algorithm, allowing the mode assignment of reflective elements to be influenced by the labels of their neighbors. Test on synthetic data confirms that, compared with traditional seismic facies analysis methods, the facies maps generated by the proposed method have more continuous and homogeneous textures, and less uncertainty on the boundary. The test on actual seismic data further confirms that the proposed method can describe more details of the distribution of lithological bodies of interest. The proposed method is an effective tool for pre-stack seismic facies analysis.

Availability
311551Perpustakaan BIG (Eksternal Harddisk)Available
Detail Information
Series Title
Artificial Intelligence in Geosciences
Call Number
551
Publisher
Beijing : KeAi Communications Co. Ltd..,
Collation
6 hlm PDF, 4.053 KB
Language
Inggris
ISBN/ISSN
2666-5441
Classification
551
Content Type
text
Media Type
-
Carrier Type
-
Edition
Vol.4, December 2023
Subject(s)
-
Specific Detail Info
-
Statement of Responsibility
Other version/related

No other version available

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  • Unsupervised pre-stack seismic facies analysis constrained by spatial continuity
    Seismic facies analysis plays important roles in geological research, especially in sedimentary environment identification. Traditional method is mainly based on seismic waveform or attributes of a single seismic gather to classify the seismic facies. Ignoring the correlation between adjacent seismic gathers leads to poor lateral continuities in generated facies map, which cannot fit the sedimentary characteristics well. In fact, according to sedimentology theory, the horizontal continuities of the stratum can be utilized as priori information to provide more information for waveform classification. Therefore, we develop an unsupervised method for pre-stack seismic facies analysis, which is constrained by spatial continuity. The proposed method establishes a probabilistic model to characterize the correlation between neighboring reflection elements. Subsequently, this correlation is used as a regularization term to modify the objective function of the clustering algorithm, allowing the mode assignment of reflective elements to be influenced by the labels of their neighbors. Test on synthetic data confirms that, compared with traditional seismic facies analysis methods, the facies maps generated by the proposed method have more continuous and homogeneous textures, and less uncertainty on the boundary. The test on actual seismic data further confirms that the proposed method can describe more details of the distribution of lithological bodies of interest. The proposed method is an effective tool for pre-stack seismic facies analysis.
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