Identification of metamorphic rocks in the CCSD main hole

Author

Pan, Heping ; Luo, Miao ; Zhao, Yonggang

Author_Institution

Inst. of Geophys. & Geomatics, China Univ. of Geosci., Wuhan, China

Volume

8

fYear

2010

fDate

10-12 Aug. 2010

Firstpage

4049

Lastpage

4051

Abstract

It is more difficult to identify metamorphic rocks than sedimentary rocks by well logs. In order to identify metamorphic rocks, eight types of well logs were chosen for the identification of metamorphic rocks in China Continent Science Drilling (CCSD) main hole. We use stepwise discrimination method to recognize metamorphic rocks. The first step is to establish Back-Propagation artificial neural network model to recognize general types of metamorphic rocks. Then the Bayes discrimination function was established to recognize detailed types of metamorphic rocks.

Keywords

Bayes methods; geophysical techniques; neural nets; rocks; Bayes discrimination function; CCSD main hole; China Continent Science Drilling main hole; back-propagation artificial neural network model; metamorphic rocks; sedimentary rocks; well logs; Artificial neural networks; Drilling; Geology; Geophysics; Neurons; Neutrons; Training; Bayes discrimination; CCSD; Identification; artificial neural network; metamorphic rocks;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation (ICNC), 2010 Sixth International Conference on

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-5958-2

Type

conf

DOI

10.1109/ICNC.2010.5584844

Filename

5584844