P. Cooke-yarborqugh, Reservoir Analysis By Wireline Formation Tester: Pressures, Permeabilities, Gradients And Net Pay, The Log Analyst, vol.15, issue.6, pp.36-46, 1984.

T. Darling, Quicklook Log Interpretation, Well Logging and Formation Evaluation, pp.29-48, 2005.

M. Deakin and W. Manan, The Integration of Petrophysical Data for the Evaluation of Low Contrast Pay, SPE Asia Pacific Conference on Integrated Modelling for Asset Management, pp.327-339, 1998.

O. Doguc and J. E. Ramirez-marquez, A generic method for estimating system reliability using Bayesian networks, Reliability Engineering & System Safety, vol.94, issue.2, pp.542-550, 2009.
DOI : 10.1016/j.ress.2008.06.009

R. O. Duda, P. E. Hart, and D. G. Stork, Bayesian Decision Theory, Pattern Classification, p.68, 2000.

J. G. Flower, Use of Sonic-Shear-Wave/Resistivity Overlay as a Quick-Look Method for Identifying Potential Pay Zones in the Ohio (Devonian) Shale, Journal of Petroleum Technology, vol.35, issue.03, pp.638-642, 1983.
DOI : 10.2118/10368-PA

M. Grabisch, T. Murofushi, and M. Sugeno, Fuzzy measure of fuzzy events defined by fuzzy integrals, Fuzzy Sets and Systems, vol.50, issue.3, pp.293-313, 1992.
DOI : 10.1016/0165-0114(92)90227-U

T. H. Hassoun, K. Zainalabedin, and C. C. Minh, Hydrocarbon Detection in Low- Contrast Resistivity Pay Zones, Capillary Pressure and ROS determination with NMR logging in Saudi Arabia Middle East Oil Show and Conference, pp.127-143, 1997.

E. P. Howell, S. S. Gutberlet, and J. M. Glossa, North Riley: Integrated Evaluation of a Heterogeneous Reservoir. Permian Basin Oil and Gas Recovery Conference, pp.227-236, 1992.

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.

D. E. Johnson and K. E. Pile, Formation Parameters Well Logging in Nontechnical Language, pp.25-44, 2002.

S. Joshi and G. Lahiri, Integrated Reservoir Characterization of Neelam Field, SPE Asia Pacific Conference on Integrated Modelling for Asset Management, pp.161-169, 1998.
DOI : 10.2118/39742-MS

L. L. Kuncheva, Combining Pattern Classifiers, Methods and Algorithms. A Wiley-Interscience publication, p.350, 2004.

E. Lauría, An Information-Geometric Approach to Learning Bayesian Network Topologies from Data, Innovations in Bayesian Networks. Studies in Computational Intelligence, pp.187-217, 2008.
DOI : 10.1007/978-3-540-85066-3_8

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.53-56, 2012.
URL : https://hal.archives-ouvertes.fr/insu-01382415

P. Masoudi, B. Tokhmechi, A. Bashari, A. Jafari, and M. , 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, A. Zahedi, A. Moradzadeh, F. Alirezaei, and S. M. Zamanzadeh, Estimation of in place hydrocarbon volume in multilayered reservoirs using deterministic and probabilistic approaches, Energy, Exploration & Exploitation, vol.40, issue.5, pp.543-558, 2011.
DOI : 10.1260/0144-5987.29.5.543

URL : https://hal.archives-ouvertes.fr/insu-01382458

N. Mathur, S. V. Raju, and T. G. Kulkarni, Improved Identification of Pay Zones through Integration of Geochemical and Log Data: A Case Study from Upper Assam Basin, AAPG Bulletin, vol.85, issue.2, pp.309-323, 2001.

D. Niedermayer, An Introduction to Bayesian Networks and Their Contemporary Applications, Innovations in Bayesian Networks, Theory and Applications. Studies in computational intelligence, pp.117-130, 2008.
DOI : 10.1007/978-3-540-85066-3_5

S. Singleton, The use of seismic attenuation to aid simultaneous impedance inversion in geophysical reservoir characterization. The Leading Edge, pp.398-407, 2008.

R. H. Snyder, A Review of the Concepts and Methodology of Determining " Net Pay " . Fall Meeting of the Society of Petroleum Engineers of AIME, pp.1-12, 1971.

R. K. Svec and R. B. Grigg, Reservoir Characterization and Laboratory Studies Assessing Improve Oil Recovery Methods for the Teague-Blinebry Field. SPE Permian Basin Oil and Gas Recovery Conference, Society of Petroleum Engineers Inc, pp.1-12, 2000.

S. Theodoridis and K. Koutroumbas, Clustering Algorithms III, pp.489-544, 2003.
DOI : 10.1016/B978-012369531-4/50014-7

P. F. Worthington, Recognition and evaluation of low-resistivity pay, Petroleum Geoscience, vol.6, issue.1, pp.77-92, 2000.
DOI : 10.1144/petgeo.6.1.77

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