Porosity and permeability prediction based on computational intelligences as artificial neural networks (ANNs) and adaptive neuro-fuzzy inference systems (ANFIS) in southern carbonate reservoir of Iran
Research output: Contribution to journal › Article › Research › peer-review
Standard
In: Petroleum science and technology, Vol. 31, No. 10, 15.05.2013, p. 1066-1077.
Research output: Contribution to journal › Article › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex - Download
}
RIS (suitable for import to EndNote) - Download
TY - JOUR
T1 - Porosity and permeability prediction based on computational intelligences as artificial neural networks (ANNs) and adaptive neuro-fuzzy inference systems (ANFIS) in southern carbonate reservoir of Iran
AU - Zargari, H.
AU - Poordad, S.
AU - Kharrat, R.
PY - 2013/5/15
Y1 - 2013/5/15
KW - ANFIS
KW - ANN
KW - carbonate reservoir
KW - porosity
UR - http://www.scopus.com/inward/record.url?scp=84876490064&partnerID=8YFLogxK
U2 - 10.1080/10916466.2010.536805
DO - 10.1080/10916466.2010.536805
M3 - Article
AN - SCOPUS:84876490064
VL - 31
SP - 1066
EP - 1077
JO - Petroleum science and technology
JF - Petroleum science and technology
SN - 1091-6466
IS - 10
ER -