Application of Self-Organizing Neural Network Method in Logging Sedimentary Microfacies Identification

Wen Bo Li; Yun Liang Yu; Jian Qiang Wang; Ye Bai; Xin Wang

doi:10.4028/www.scientific.net/AMR.616-618.38

Paper Titles

The Age and Origin of the Jinfosi Biotite Granite, North Qilian, NW China: Evidence from U–Pb Zircon Age Data, Geochemistry, and Nd–Sr–Pb Isotopes
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Geologic Characteristics of Reservoir Accumulation in Suganhu Depression in North Margin of Qaidam Basin
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Accumulation Conditions of Hydrocarbon Generated by Marine Source Rock in Southern Depression of Southern Yellow Sea Basin
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The Depositional System of Dongying Formation and Subtle Reservoir Exploration in Sha’nan Structural Belt Qikou Sag of Bohai Bay Basin, China
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Application of Self-Organizing Neural Network Method in Logging Sedimentary Microfacies Identification
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Isotopic Dating and Geological Significance of Stratiform Orebody in Gejiu Tin Deposit, Yunnan, China
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Shallow Gas Distribution Character of Heidimiao Reservoir in Southern Daqing-Changyuan Based on High-Resolution Sequence Stratigraphy
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Tectonic Movement and Sea-Level Rise
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Sequence Stratigraphic Analysis of Badaowan Formation in Dishuiquan Area, Junggar Basin
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 616-618Application of Self-Organizing Neural Network...

Application of Self-Organizing Neural Network Method in Logging Sedimentary Microfacies Identification

Abstract:

Studing the identification methods of sedimentary microfacies by the implement of self-organizing neural network model. Picking up the geometrical characteristic parameters and image characteristic parameters of the logging curves. Establishing the relationship of sedimentary microfacies patterns and well logging curves shapes by characteristic parameters. Developing the Sedimentary microfacies patterns identification system and applying it to 1000 wells of the southern area of Daqing Changyuan, the recognition rate can reach 90%, it can prove the validity of the method.

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Periodical:

Advanced Materials Research (Volumes 616-618)

Pages:

38-42

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.616-618.38

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Online since:

December 2012

Authors:

Wen Bo Li, Yun Liang Yu, Jian Qiang Wang, Ye Bai, Xin Wang

Keywords:

Characteristic Parameters, Pattern Identification, Sedimentary Micro-Facies, Self-Organizing Neural Network

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