Goutorbe, Bruno et al. (2006): Using neural networks to predict thermal conductivity from geophysical well logs

Leg/Site/Hole: Related Expeditions:

ODP 141
ODP 180

Identifier: ID:

2006-071352

Type:

georefid

ID:

10.1111/j.1365-246X.2006.02924.x

Type:

doi

Creator: Name:

Goutorbe, Bruno

Affiliation:

Institut de Physique du Globe de Paris, Paris, France

Role:

author

Name:

Lucazeau, Francis

Affiliation:

Role:

author

Name:

Bonneville, Alain

Affiliation:

Role:

author

Identification: Title:

Using neural networks to predict thermal conductivity from geophysical well logs

Year:

2006

Source:

Geophysical Journal International

Publisher:

Blackwell Science for the Royal Astronomical Society, the Deutsche Geophysikalische Gesellschaft and the European Geophysical Society, International

Volume:

166

Issue:

Pages:

115-125

Abstract:

Language:

English

Genre:

Serial

Rights:

URL:

Coverage:Geographic coordinates:

	North:-9.1100
West:-75.5120		East: 151.3800
	South:-46.3040

Keywords:

Solid-earth geophysics; algorithms; Chile Margin Triple Junction; computer programs; data processing; heat flow; Leg 141; Leg 180; lithosphere; marine sediments; neural networks; Ocean Drilling Program; Pacific Ocean; prediction; sediments; South Pacific; Southwest Pacific; thermal conductivity; well logs; West Pacific; Woodlark Basin;

SEDIS - Publications

Goutorbe, Bruno et al. (2006): Using neural networks to predict thermal conductivity from geophysical well logs