DETERMINING HYDRAULIC FLOW UNITS USING A HYBRID NEURAL NETWORK AND MULTI-RESOLUTION GRAPH-BASED CLUSTERING METHOD: CASE STUDY FROM SOUTH PARS GASFIELD, IRAN-Reference-Cited by-同舟云学术

DETERMINING HYDRAULIC FLOW UNITS USING A HYBRID NEURAL NETWORK AND MULTI-RESOLUTION GRAPH-BASED CLUSTERING METHOD: CASE STUDY FROM SOUTH PARS GASFIELD, IRAN

Published:2015-03-20 Issue:2 Volume:38 Page:177-191
ISSN:0141-6421
Container-title:Journal of Petroleum Geology
language:en
Short-container-title:Journal of Petroleum Geology

Author:

Nouri-Taleghani M.¹,Kadkhodaie-llkhchi A.²,Karimi-Khaledi M.³

Affiliation:

1. Faculty of Mining Engineering; University of Tehran; Tehran Iran

2. Department of Earth Science, Faculty of Natural Science; University of Tabriz; Tabriz NW Iran

3. Abadan Institute of Technology; Petroleum University of Technology; Abadan Iran

Publisher

Wiley

Subject

Earth and Planetary Sciences (miscellaneous),Geology,Energy Engineering and Power Technology,Fuel Technology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/jpg.12605/fullpdf

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5. AGHCHELOU , M. NABI-BIDHENDI , M. SHAHVAR M.B. 2012 Lithofacies Estimation by Multi-Resolution Graph-Based Clustering of Petrophysical Well Logs: Case Study of South Pars Gas Field of Iran SPE Paper 162991.

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