Applying flow zone index approach and artificial neural networks modeling technique for characterizing a heterogeneous carbonate reservoir using dynamic data: Case Study of an Iranian reservoir

Mohammad Bagher Shahvar; Riyaz Kharrat; Mehdi Matin

doi:10.2118/132898-ms

Applying flow zone index approach and artificial neural networks modeling technique for characterizing a heterogeneous carbonate reservoir using dynamic data: Case Study of an Iranian reservoir

Mohammad Bagher Shahvar, Riyaz Kharrat, Mehdi Matin

Chair of Reservoir Engineering (570)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

11 Citations (Scopus)

Original language	English
Title of host publication	Society of Petroleum Engineers - Trinidad and Tobago Energy Resources Conference 2010, SPE TT 2010
Publisher	Society of Petroleum Engineers (SPE)
Pages	677-690
Number of pages	14
ISBN (Print)	9781617388859
DOIs	https://doi.org/10.2118/132898-ms
Publication status	Published - 2010

Publication series

Name	Society of Petroleum Engineers - Trinidad and Tobago Energy Resources Conference 2010, SPE TT 2010
Volume	2

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10.2118/132898-ms

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Shahvar, M. B., Kharrat, R., & Matin, M. (2010). Applying flow zone index approach and artificial neural networks modeling technique for characterizing a heterogeneous carbonate reservoir using dynamic data: Case Study of an Iranian reservoir. In Society of Petroleum Engineers - Trinidad and Tobago Energy Resources Conference 2010, SPE TT 2010 (pp. 677-690). (Society of Petroleum Engineers - Trinidad and Tobago Energy Resources Conference 2010, SPE TT 2010; Vol. 2). Society of Petroleum Engineers (SPE). https://doi.org/10.2118/132898-ms

Shahvar, Mohammad Bagher ; Kharrat, Riyaz ; Matin, Mehdi. / Applying flow zone index approach and artificial neural networks modeling technique for characterizing a heterogeneous carbonate reservoir using dynamic data : Case Study of an Iranian reservoir. Society of Petroleum Engineers - Trinidad and Tobago Energy Resources Conference 2010, SPE TT 2010. Society of Petroleum Engineers (SPE), 2010. pp. 677-690 (Society of Petroleum Engineers - Trinidad and Tobago Energy Resources Conference 2010, SPE TT 2010).

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title = "Applying flow zone index approach and artificial neural networks modeling technique for characterizing a heterogeneous carbonate reservoir using dynamic data: Case Study of an Iranian reservoir",

author = "Shahvar, {Mohammad Bagher} and Riyaz Kharrat and Mehdi Matin",

year = "2010",

doi = "10.2118/132898-ms",

language = "English",

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series = "Society of Petroleum Engineers - Trinidad and Tobago Energy Resources Conference 2010, SPE TT 2010",

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Shahvar, MB, Kharrat, R & Matin, M 2010, Applying flow zone index approach and artificial neural networks modeling technique for characterizing a heterogeneous carbonate reservoir using dynamic data: Case Study of an Iranian reservoir. in Society of Petroleum Engineers - Trinidad and Tobago Energy Resources Conference 2010, SPE TT 2010. Society of Petroleum Engineers - Trinidad and Tobago Energy Resources Conference 2010, SPE TT 2010, vol. 2, Society of Petroleum Engineers (SPE), pp. 677-690. https://doi.org/10.2118/132898-ms

Applying flow zone index approach and artificial neural networks modeling technique for characterizing a heterogeneous carbonate reservoir using dynamic data: Case Study of an Iranian reservoir. / Shahvar, Mohammad Bagher; Kharrat, Riyaz; Matin, Mehdi.
Society of Petroleum Engineers - Trinidad and Tobago Energy Resources Conference 2010, SPE TT 2010. Society of Petroleum Engineers (SPE), 2010. p. 677-690 (Society of Petroleum Engineers - Trinidad and Tobago Energy Resources Conference 2010, SPE TT 2010; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Applying flow zone index approach and artificial neural networks modeling technique for characterizing a heterogeneous carbonate reservoir using dynamic data

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AU - Shahvar, Mohammad Bagher

AU - Kharrat, Riyaz

AU - Matin, Mehdi

PY - 2010

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M3 - Conference contribution

AN - SCOPUS:78650493941

SN - 9781617388859

T3 - Society of Petroleum Engineers - Trinidad and Tobago Energy Resources Conference 2010, SPE TT 2010

SP - 677

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BT - Society of Petroleum Engineers - Trinidad and Tobago Energy Resources Conference 2010, SPE TT 2010

PB - Society of Petroleum Engineers (SPE)

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Shahvar MB, Kharrat R, Matin M. Applying flow zone index approach and artificial neural networks modeling technique for characterizing a heterogeneous carbonate reservoir using dynamic data: Case Study of an Iranian reservoir. In Society of Petroleum Engineers - Trinidad and Tobago Energy Resources Conference 2010, SPE TT 2010. Society of Petroleum Engineers (SPE). 2010. p. 677-690. (Society of Petroleum Engineers - Trinidad and Tobago Energy Resources Conference 2010, SPE TT 2010). doi: 10.2118/132898-ms

Applying flow zone index approach and artificial neural networks modeling technique for characterizing a heterogeneous carbonate reservoir using dynamic data: Case Study of an Iranian reservoir

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