M. Al-dabbas, J. Al-jassim, and S. Jumaily, Depositional environments and porosity distribution in regressive limestone reservoirs of the Mishrif Formation, Southern Iraq, Arabian Journal of Geosciences, vol.76, issue.3, pp.67-78, 2010.
DOI : 10.1007/s12517-009-0057-x

A. Bashari, Integrated 3D seismic and petrophysical data of the Sarvak formation in the Persian Gulf. First Break, pp.45-53, 2007.

C. M. Bishop, Neural Networks for Pattern Recognition, 1995.

D. L. Connell, J. A. Coates, and D. A. Frost, Development of a Fluorimetric Method for Detection of Pay Zones During Drilling With Invert Muds, SPE Formation Evaluation, vol.1, issue.06, pp.595-602, 1986.
DOI : 10.2118/13005-PA

P. Cooke-yarborqugh, Reservoir Analysis By Wireline Formation Tester: Pressures, Permeabilities, Gradients And Net Pay. The Log Analyst, pp.36-46, 1984.

J. Honarmand and S. A. Moallemi, Lithofacies Analysis, Sedimentary Environment and Sequence Stratigraphy of Burgan Formation, North of the Persian Gulf, Stratigraphy and Sedimentology Researches, vol.25, issue.2, pp.135-150, 2009.

J. L. Jensen and J. Y. Menke, Some Statistical Issues in Selecting Porosity Cutoffs for Estimating Net Pay, PetroPhysics, vol.47, issue.4, pp.315-320, 2006.

S. Mahbaz, H. Sardar, M. Namjouyan, and Y. Mirzaahmadian, Optimization of reservoir cut-off parameters: a case study in SW Iran, Petroleum Geoscience, vol.17, issue.4, pp.355-363, 2011.
DOI : 10.1144/1354-079311-005

P. Masoudi, Identifying Net Pay Zones in Oil Wells by Artificial Neural Network and Dempster- Shafer Theories, 2013.

P. Masoudi, Y. Asgarinezhad, and B. Tokhmechi, Feature selection for reservoir characterisation by Bayesian network, Arabian Journal of Geosciences, vol.39, issue.8, pp.1-13, 2014.
DOI : 10.1007/s12517-014-1361-7
URL : https://hal.archives-ouvertes.fr/insu-01382419

P. Masoudi, B. Tokhmechi, A. Jafari, M. Zamanzadeh, S. M. Sherkati et al., Application of Bayesian in determining productive zones by well log data in oil wells, Journal of Petroleum Science and Engineering, vol.94, issue.95, pp.94-95, 2012.
DOI : 10.1016/j.petrol.2012.06.028
URL : https://hal.archives-ouvertes.fr/insu-01382398

P. Masoudi, B. Tokhmechi, A. Bashari, and M. A. Jafari, Identifying productive zones of the Sarvak formation by integrating outputs of different classification methods, Journal of Geophysics and Engineering, vol.9, issue.3, pp.282-290, 2012.
DOI : 10.1088/1742-2132/9/3/282
URL : https://hal.archives-ouvertes.fr/insu-01382411

P. Masoudi, B. Tokhmechi, M. A. Jafari, and B. Moshiri, Application of fuzzy classifier fusion in determining productive zones in oil wells, Energy, Exploration & Exploitation, vol.8, issue.4, pp.403-415, 2012.
DOI : 10.1260/0144-5987.30.3.403
URL : https://hal.archives-ouvertes.fr/insu-01382442

P. Masoudi, B. Tokhmechi, A. Zahedi, and M. A. Jafari, Developing a Method for Identification of Net Zones Using Log Data and Diffusivity Equation, Journal of Mining and Environment, vol.2, issue.1, pp.53-60, 2011.
URL : https://hal.archives-ouvertes.fr/insu-01382415

C. S. Matthews and D. G. Russell, Pressure Buildup and Flow Tests in Wells, p.163, 1967.

C. V. Millikan, Use of Gas Meters for Determination of Pay Strata in Oil Sands, Transactions of the AIME, vol.25, issue.01, pp.183-195, 1925.
DOI : 10.2118/925183-G

S. Theodoridis and K. Koutroumbas, Statistical Pattern Recognition, 2003.

P. F. Worthington, The Application of Cutoffs in Integrated Reservoir Studies, SPE Reservoir Evaluation & Engineering, vol.11, issue.06, pp.968-975, 2008.
DOI : 10.2118/95428-PA

P. F. Worthington, Net Pay--What Is It? What Does It Do? How Do We Quantify It? How Do We Use It?, SPE Reservoir Evaluation & Engineering, vol.13, issue.05, pp.812-822, 2010.
DOI : 10.2118/123561-PA

P. F. Worthington and L. Cosentino, The Role of Cut-offs in Integrated Reservoir Studies, SPE Reservoir Evaluation & Engineering, vol.8, issue.04, pp.276-290, 2005.
DOI : 10.2118/84387-PA