M. Adelinet, A. Barnoud, V. Clochard, and P. Ricarte, Improved unconventional reservoir characterization using multi-azimuth stratigraphic inversion, case study on the Fort Worth Basin, Journal of Unconventional Oil and Gas Resources, vol.3, issue.4, pp.15-26, 2013.
DOI : 10.1016/j.juogr.2013.10.001

URL : https://hal.archives-ouvertes.fr/hal-00907763

M. Adelinet, J. Fortin, and Y. Gueguen, Dispersion of elastic moduli in a porous-cracked rock: Theoretical predictions for squirt-flow, Tectonophysics, vol.503, issue.1-2, pp.173-181, 2011.
DOI : 10.1016/j.tecto.2010.10.012

M. Adelinet and M. L. Ravalec, Effective medium modeling: How to efficiently infer porosity from seismic data?, Interpretation, vol.3, issue.4, pp.1-7, 2015.
DOI : 10.1190/INT-2015-0065.1

M. Batzle and Z. Wang, Seismic properties of pore fluids, GEOPHYSICS, vol.57, issue.11, pp.1396-1408, 1992.
DOI : 10.1190/1.1443207

M. L. Batzle, D. H. Han, and R. Hofmann, Fluid mobility and frequency-dependent seismic velocity ??? Direct measurements, GEOPHYSICS, vol.71, issue.1, pp.1-9, 2006.
DOI : 10.1190/1.2159053

M. Bosch, T. Mukerji, and E. F. Gonzalez, Seismic inversion for reservoir properties combining statistical rock physics and geostatistics: A review, GEOPHYSICS, vol.75, issue.5, pp.75-165, 2010.
DOI : 10.1190/1.3478209

P. M. Doyen, Porosity from seismic data: A geostatistical approach: Geophysics, pp.1263-1275, 1988.

P. M. Doyen, T. Guidish, and M. De-buyl, Seismic discrimination of lithology in sand/shale reservoirs: A bayesian approach, SEG Technical Program Expanded Abstracts 1989, pp.719-722, 1989.
DOI : 10.1190/1.1889750

P. M. Doyen, D. E. Psaila, L. D. Boer, and D. Jans, Reconciling Data at Seismic and Well Log Scales in 3-D Earth Modelling, SPE Annual Technical Conference and Exhibition, 1997.
DOI : 10.2118/38698-MS

C. Dubreuil-boisclair, E. Gloaguen, G. Bellefleur, and D. Marcotte, Non-Gaussian gas hydrate grade simulation at the Mallik site, pp.20-27, 2012.

C. Dubreuil-boisclair, E. Gloaguen, D. Marcotte, and B. Giroux, Heterogeneous aquifer characterization from ground-penetrating radar tomography and borehole hydrogeophysical data using nonlinear Bayesian simulations, GEOPHYSICS, vol.76, issue.4, pp.13-25, 2011.
DOI : 10.1190/1.3571273

O. Dubrule, Geostatistics for seismic data integration in earth models, pp.1-25, 2003.
DOI : 10.1190/1.9781560801962

R. N. Erlich and J. L. Coleman-jr, Drowning of the Upper Marble Falls carbonate platform (Pennsylvanian), central Texas: A case of conflicting ???signals????, Sedimentary Geology, vol.175, issue.1-4, pp.479-499, 2005.
DOI : 10.1016/j.sedgeo.2004.12.017

Z. Fang and D. Yang, Inversion of reservoir porosity, saturation, and permeability based on a robust hybrid genetic algorithm, GEOPHYSICS, vol.80, issue.5, pp.265-280, 2015.
DOI : 10.1190/geo2014-0502.1

A. M. Francis, Understanding stochastic inversion: First Break, pp.69-77, 2006.

F. Gassmann, ELASTIC WAVES THROUGH A PACKING OF SPHERES, GEOPHYSICS, vol.16, issue.4, pp.673-685, 1951.
DOI : 10.1190/1.1437718

P. Goovaerts, Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall, Journal of Hydrology, vol.228, issue.1-2, pp.113-129, 2000.
DOI : 10.1016/S0022-1694(00)00144-X

D. Grana, Probabilistic approach to rock physics modeling, GEOPHYSICS, vol.79, issue.2, pp.123-143, 2014.
DOI : 10.1190/geo2013-0333.1

D. Grana and E. Della-rossa, Probabilistic petrophysical-properties estimation integrating statistical rock physics with seismic inversion, GEOPHYSICS, vol.75, issue.3, pp.21-37, 2010.
DOI : 10.1190/1.3386676

A. Haas and O. Dubrule, Geostatistical inversion, 55th EAEG Meeting, pp.561-569, 1994.
DOI : 10.3997/2214-4609.201411504

J. Hammersley, Monte Carlo methods, 2013.

L. Ravalec, M. , B. Doligez, and O. Lerat, Integrated reservoir characterization and modeling: Ebook: IFP Energies Nouvelles, 2014.

I. D. Marroquin, Automated seismic facies for data integration: an example from Fort Worth Basin, Texas (USA), First Break, vol.33, issue.2067, pp.51-62, 2015.
DOI : 10.3997/1365-2397.2015001

S. L. Montgomery, D. M. Jarvie, K. A. Bowker, and R. M. Pollastro, Mississippian Barnett Shale, Fort Worth basin, north-central Texas: Gas-shale play with multi???trillion cubic foot potential, AAPG Bulletin, vol.89, issue.2, pp.155-175, 2005.
DOI : 10.1306/09170404042

M. Naeem, H. M. El-araby, M. K. Khalil, M. K. Jafri, and F. Khan, Integrated study of seismic and well data for porosity estimation using multi-attribute transforms: a case study of Boonsville Field, Fort Worth Basin, Texas, USA, Arabian Journal of Geosciences, vol.22, issue.6, pp.8777-8793, 2015.
DOI : 10.1130/0091-7613(1976)4<272:AAVOCS>2.0.CO;2

E. Parzen, On Estimation of a Probability Density Function and Mode, The Annals of Mathematical Statistics, vol.33, issue.3, pp.1065-1076, 1962.
DOI : 10.1214/aoms/1177704472

R. M. Pollastro, D. M. Jarvie, R. J. Hill, and C. W. Adams, Geologic framework of the Mississippian Barnett Shale, Barnett-Paleozoic total petroleum system, Bend arch???Fort Worth Basin, Texas, AAPG Bulletin, vol.91, issue.4, pp.405-436, 2007.
DOI : 10.1306/10300606008

M. Rosenblatt, Remarks on Some Nonparametric Estimates of a Density Function, The Annals of Mathematical Statistics, vol.27, issue.3, pp.832-837, 1956.
DOI : 10.1214/aoms/1177728190

P. Ruggeri, J. Irving, E. Gloaguen, and K. Holliger, Regional-scale integration of multiresolution hydrological and geophysical data using a two-step Bayesian sequential simulation approach, Geophysical Journal International, vol.194, issue.1, pp.289-303, 2013.
DOI : 10.1093/gji/ggt067

M. Sauvageau, E. Gloaguen, M. Claprood, R. Lefebvre, and M. Beche, Multimodal reservoir porosity simulation: An application to a tight oil reservoir, Journal of Applied Geophysics, vol.107, pp.71-79, 2014.
DOI : 10.1016/j.jappgeo.2014.05.007

B. Silverman, Density estimation for statistics and data analysis, 1986.
DOI : 10.1007/978-1-4899-3324-9

A. Tarantola, Inversion of seismic reflection data in the acoustic approximation, GEOPHYSICS, vol.49, issue.8, pp.1259-1266, 1984.
DOI : 10.1190/1.1441754