Artificial neural network based design for dual lateral well applications (English)
- New search for: Enab, Khaled
- New search for: Ertekin, Turgay
- New search for: Enab, Khaled
- New search for: Ertekin, Turgay
In:
Journal of Petroleum Science and Engineering
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123
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84-95
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2014
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ISSN:
- Article (Journal) / Electronic Resource
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Title:Artificial neural network based design for dual lateral well applications
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Contributors:Enab, Khaled ( author ) / Ertekin, Turgay ( author )
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Published in:Journal of Petroleum Science and Engineering ; 123 ; 84-95
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Publisher:
- New search for: Elsevier B.V.
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Publication date:2014-09-03
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Size:12 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 123
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Neural network applications to reservoirs: Physics-based models and data modelsAïfa, Tahar et al. | 2014
- 7
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Robust intelligent tool for estimating dew point pressure in retrograded condensate gas reservoirs: Application of particle swarm optimizationAhmadi, Mohammad Ali / Ebadi, Mohammad / Yazdanpanah, Arash et al. | 2014
- 20
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Model identification for gas condensate reservoirs by using ANN method based on well test dataGhaffarian, Najmeh / Eslamloueyan, Reza / Vaferi, Behzad et al. | 2014
- 30
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Application of artificial neural networks in a history matching processCosta, Luís Augusto Nagasaki / Maschio, Célio / José Schiozer, Denis et al. | 2014
- 46
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Assisted history matching using artificial neural network based global optimization method – Applications to Brugge field and a fractured Iranian reservoirForoud, Toomaj / Seifi, Abbas / AminShahidi, Babak et al. | 2014
- 62
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Bayesian history matching using artificial neural network and Markov Chain Monte CarloMaschio, Célio / Schiozer, Denis José et al. | 2014
- 72
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Net pay determination by artificial neural network: Case study on Iranian offshore oil fieldsMasoudi, Pedram / Arbab, Bita / Mohammadrezaei, Hossein et al. | 2014
- 78
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Net pay determination by Dempster rule of combination: Case study on Iranian offshore oil fieldsMasoudi, Pedram / Arbab, Bita / Mohammadrezaei, Hossein et al. | 2014
- 84
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Artificial neural network based design for dual lateral well applicationsEnab, Khaled / Ertekin, Turgay et al. | 2014
- 96
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New techniques for estimating properties of saturated reservoirs, using readily-available rate decline dataMosobalaje, O.O. / Orodu, O.D. / Tiab, D. et al. | 2014
- 106
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Data-driven forecasting of naturally fractured reservoirs based on nonlinear autoregressive neural networks with exogenous inputSheremetov, L. / Cosultchi, A. / Martínez-Muñoz, J. / Gonzalez-Sánchez, A. / Jiménez-Aquino, M.A. et al. | 2014
- 120
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Magnetic susceptibility and its relation with fractures and petrophysical parameters in the tight sand oil reservoir of Hamra quartzites, southwest of the Hassi Messaoud oil field, AlgeriaAïfa, Tahar / Ali Zerrouki, Ahmed / Baddari, Kamel / Géraud, Yves et al. | 2014
- 138
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Refracture candidate selection using hybrid simulation with neural network and data analysis techniquesYanfang, Wang / Salehi, Saeed et al. | 2014
- 147
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A novel approach to sand production prediction using artificial intelligenceKhamehchi, Ehsan / Rahimzadeh Kivi, Iman / Akbari, Mohammadreza et al. | 2014
- 155
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Well tops guided prediction of reservoir properties using modular neural network concept: A case study from western onshore, IndiaChaki, Soumi / Verma, Akhilesh K. / Routray, Aurobinda / Mohanty, William K. / Jenamani, Mamata et al. | 2014
- 164
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An automated simple algorithm for realistic pore network extraction from micro-tomography imagesRabbani, Arash / Jamshidi, Saeid / Salehi, Saeed et al. | 2014
- 172
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Comparison of WAVENET and ANN for predicting the porosity obtained from well log dataSaljooghi, B. Shokooh / Hezarkhani, A. et al. | 2014
- 183
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Connectionist model predicts the porosity and permeability of petroleum reservoirs by means of petro-physical logs: Application of artificial intelligenceAhmadi, Mohammad-Ali / Ahmadi, Mohammad Reza / Hosseini, Seyed Moein / Ebadi, Mohammad et al. | 2014
- 201
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Permeability estimation in heterogeneous oil reservoirs by multi-gene genetic programming algorithmKaydani, Hossein / Mohebbi, Ali / Eftekhari, Mehdi et al. | 2014
- 207
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New tools to determine bubble point pressure of crude oils: Experimental and modeling studyAhmadi, Mohammad Ali / Zendehboudi, Sohrab / James, Lesley A. / Elkamel, Ali / Dusseault, Maurice / Chatzis, Ioannis / Lohi, Ali et al. | 2014
- 217
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Neuro-fuzzy system to predict permeability and porosity from well log data: A case study of Hassi R׳Mel gas field, AlgeriaAïfa, Tahar / Baouche, Rafik / Baddari, Kamel et al. | 2014
- IFC
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IFC - inside front cover (Editors, Aims and Scope, etc.)| 2014