Fast forward modeling simulation of resistivity well logs using neural networks

1999 SEG Annual Meeting

Volumn , Issue , 1999, Pages

  Zhang, Lin ^a   Poulton, Mary ^a   Zhang, Zhiyi ^b   Mezzatesta, Alberto ^b   Chakravarthy, Sirnivasa ^b  

^a UNIVERSITY OF ARIZONA   (United States)

^b BAKER ATLAS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DUAL LATEROLOG; FAST ESTIMATION; FORMATION RESISTIVITY; FORWARD MODELING; INVERSION PROCESS; MODULAR NEURAL NETWORKS; NETWORK-BASED APPROACH; TRAINING AND TESTING;

ELECTRIC LOGGING;

EID: 85058371390     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Anderson, B., The analysis of some unsolved induction interpretation problems using computer modeling, SPWLA 27th Annual Logging Symposium Transaction, 1986, Vol. 1, Paper II.
2. Chemali, R., Gianzero, S., and Su, S., The dual laterolog in common complex situation, SPWLA 29th Annual Logging Symposium Transactions, 1988, Vol. 1, Paper N.
3. Kennedy, W. D., Curry, S. M., Gill, S. P., and Morrison, H. F., 1986, Induction response in deviated bore hole, SPWLA 27th Annual Logging Symposium Transactions, 1986, Vol. 2, Paper FFF.
4. Poulton, M. & Birken, R., Estimating one-dimensional models form frequency-domain electromagnetic data using modular neural network, IEEE Transactions on Geoscience and Remote Sensing, 1998, Vol. 36, No. 2, pp. 547-555.
5. Rider, M., The geological interpretation of well logs, 1996, second edition: Whittles publishing, Caithness.