Seismic facies classification and identification by competitive neural networks
نویسندگان
چکیده
منابع مشابه
geological facies classification and identification by seismic data and competitive neural networks
geological facies interpretation is essential for reservoir studying. the method of classification and identification seismic traces is a powerful approach for geological facies classification and distinction. use of neural networks as classifiers is increasing in different sciences like seismic. they are computer efficient and ideal for patterns identification. they can simply learn new algori...
متن کاملطبقه بندی و شناسایی رخساره‌های زمین‌شناسی با استفاده از داده‌های لرزه نگاری و شبکه‌های عصبی رقابتی
Geological facies interpretation is essential for reservoir studying. The method of classification and identification seismic traces is a powerful approach for geological facies classification and distinction. Use of neural networks as classifiers is increasing in different sciences like seismic. They are computer efficient and ideal for patterns identification. They can simply learn new algori...
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ژورنال
عنوان ژورنال: GEOPHYSICS
سال: 2003
ISSN: 0016-8033,1942-2156
DOI: 10.1190/1.1635052