Post 2005 publications
Pre 2006 publications
2005
Hoffman, T.B., Strebelle, S. Wen, X-H and Caers, J.
Suzuki, S., Daly, C., Mueller, D. and Caers, J.
Fenwick, D. Thiele, M., Agil., M., Hussain, A., Humam, F. and Caers, J.,
Hoffman, B.T. and Caers, J.
B. Todd Hoffman
Inanc Tureyen
Petroleum Geostatistics
SPE Interdisciplinary Primer Series, Society of Petroleum Engineers, 96p.
Geologically Consistent History Matching of a Deepwater Turbidite Reservoir.
SPE ATCE, Dallas, Oct 9-12, 2005. SPE #95557
History Matching of Naturally Fractured Reservoirs Using Elastic Stress Simulation and Probability Perturbation Method.
SPE ATCE Dallas, Oct 9-12, 2005. SPE# 95498
Reconciling Prior Geologic Information With Production Data Using Streamlines: Application to a Giant Middle-Eastern Oil Field.
SPE ATCE Dallas, Oct 9-12, 2005. SPE # 95940
Regional probability perturbations for history matching,
Journal of Petroleum Science and Engineering, 46, 53-71.
Geologically consistent history matchign while perturbing facies
Doctoral Dissertation, Stanford University.
A parallel modeling approach to reservoir characterization
Doctoral Dissertation, Stanford University.
Burc Arpat
Sequential simulation with patterns
Doctoral Dissertation, Stanford University.
Arpat, B.G and Caers, J.
A Multiple-scale, Pattern-based Approach to Sequential Simulation.
In: Geostatistics Banff 2004, O. Leuangthong and C.V. Deutsch (eds), 225-264. Kluwer Academic Publishers, Dordrecht.
Caers, J.
Data conditioning with the probability perturbation method.
In: Geostatistics Banff 2004, O. Leuangthong and C.V. Deutsch (eds), 13-22. Kluwer Academic Publishers, Dordrecht.
Caers. J, Gross, H. and Kovscek, A.R.
A direct sequential simulation approach to streamline-based history matching.
In: Geostatistics Banff 2004, O. Leuangthong and C.V. Deutsch (eds), 1077-1086. Kluwer Academic Publishers, Dordrecht.
Hoffman, B.T, and Caers, J.
History matching under geological control: a North Sea case study.
In: Geostatistics Banff 2004, O. Leuangthong and C.V. Deutsch (eds), 1067-1076. Kluwer Academic Publishers, Dordrecht.
Voelker, J. and Caers, J
A combined geostatistical and source model to predict superpermeability from flowmeter data: application to the Ghawar field.
In: Geostatistics Banff 2004, O. Leuangthong and C.V. Deutsch (eds), 591-600. Kluwer Academic Publishers, Dordrecht.
Tureyen, O.I. and Caers, J.
A parallel scheme for multi-scale data integration.
In: Geostatistics Banff 2004, O. Leuangthong and C.V. Deutsch (eds), 275-284. Kluwer Academic Publishers, Dordrecht.
2004
Joe Voelker
A reservoir characterization of Arab-D super-K as a discrete fracture network flow system,
Ghawar Field, Saudi Arabia
Doctoral Dissertation, Stanford University.
Xu, Y., Caers, J and Arroyo-Garcia, C.
Automatic geobody detection from seismic using minimum message
length clustering
Computers and Geosciences, 30, 7, 741-751. (reprints available)
Caers, J. and Zhang, T.
Multiple-point geostatistics: a quantitative vehicle for intergration geologic analogs into multiple reservoir models.
In:
"Integration of outcrop and modern analog data in reservoir models"" AAPG memoir 80, p. 383-394. (reprints available with AAPG)
Arpat, B.G and Caers, J.
Reservoir Characterization Using Multiple-Scale Geological Patterns.
ECMOR IX, Cannes, Aug 29 - Sept 2, 2004.
Caers, J.
The probability perturbation method: an alternative to traditional Bayesian approaches for solving inverse problems.
ECMOR IX, Cannes Aug 29- Sept 2, 2004.
Feyen, L. and Caers, J.
Multiple-point geostatistics: a powerful tool to improve groundwater flow and transport predictions in multi-modal formations.
In: Proceedings to geoEnv 2004, Neuchatel, Switzerland, October 13-15, 2004.
G. Caumon, S.B. Strebelle, J.K. Caers, A.G. Journel
Assessment of Global Uncertainty for Early Appraisal of Hydrocarbon Fields.
SPE 89943, SPE ATCE, Houston, Sept 26 - Sept 29, 2004.
H. Gross, M.R. Thiele, M.J. Alexa, J.K. Caers, A.R. Kovscek
Streamline-Based History Matching Using Geostatistical Constraints: Application to a Giant, Mature Carbonate Reservoir.
SPE 90069, SPE ATCE, Houston, Sept 26 - Sept 29, 2004.
Hoffman, B.T, and Caers, J.
Regional probability perturbations for history matching,
Journal of Petroleum Science and Engineering, accepted for publication
Hoffman, B.T, and Caers, J.
History Matching with the Regional Probability Perturbation Method – Applications to a North Sea Reservoir,
ECMOR IX, Cannes, Aug 29 - Sept 2, 2004
Tureyen, O.I., Karacali, O. and Caers, J.
A Parallel, Multiscale Approach to Reservoir Modeling.
ECMOR IX, Cannes Aug 29- Sept 2, 2004.
Tureyen, O.I. and Caers, J.
A parallel multi-scale approach to reservoir modeling.
Computational Geosciences, accepted for publication.
2003
Caers, J., Arpat, G.B. and Arroyo-Garcia, C., 2003.
Feature-based probabilistic interpretation of geobodies from seismic..
In: Stochastic modeling II (ed. Coburn, C.T.), American Association of Petroleum Geologist, in press.
Hoffman, B.T. and Caers, J., 2003.
Geostatistical history matching using the regional probability perturbation method..
SPE Annual Conference and Technical Exhibition, Denver, Oct. 5-8. SPE 84409, 16pp
Voelker, J.J., Liu, J. and Caers, J., 2003.
A geostatistical method for characterizing superpermeability from flowmeter data: Application to the Ghawar field..
SPE Annual Conference and Technical Exhibition, Denver, Oct. 5-8. SPE 84279, 16pp
Hoffman, B.T. and Caers, J., 2003.
Sequential Simulation under local non-linear constraints: Application to history matching.
Annual conference of the Internation Association for Mathematical Geology, Porthsmouth, England, Sept 7-11. 6pp
Tureyen, O.I. and Caers, J, 2003.
A two level optimization method for integrating production data on non-uniform grids..
SPE Annual Conference and Technical Exhibition, Denver, Oct. 5-8. SPE 84368, 16pp
Caers, J. and Zhang, T., 2003.
Multiple-point geostatistics: a quantitative vehicle for intergration geologic analogs into
multiple reservoir models.
In: "Integration of outcrop and modern analog
data in reservoir models" AAPG memoir, in press.
Moysey, S., Knight, R, Allen-King, R.M. and Caers, J., 2003.
The construction of stochastic facies-based models conditioned to ground penetrating radar images.
Stochastic Environmental Research and Risk Assessment (SERRA), 17, 306-318.
Strebelle, S., Payrazyan, K. and Caers, J., 2003.
Modeling of a Deepwater Turbidite Reservoir Conditional to Seismic Data Using Multiple-Point Geostatistics.
SPE Journal, 227-235
Caers, J., 2003.
History matching under a training image-based geological model constraint.
SPE Journal, SPE 74716, 218-226
Caers, J., Strebelle, S. and Payrazyan, K., 2003.
Stochastic integration of seismic and geological scenarios: a submarine channel saga.
The Leading Edge, March 2003, 192-196.
Caers, J., 2003.
Efficient gradual deformation using a streamline-based proxy method.
Journal of Petroleum Science and Engineering, Vol 39/1-2 pp 57-83
2002
Caers, J., Krishnan, S., Wang, Y., and Kovscek, A.R., 2002.
A geostatistical approach to streamline-based history matching.
SPE Journal, 6, 250--266.
Arpat, B., Caers, J. and Strebelle, S., 2002.
Feature-based Geostatistics: an application to a submarine channel reservoir..
In: SPE Annual Conference and Technical Exhibition, San Antonio, SPE# 77426. 16p.
Strebelle, S., Payrazyan, K. and Caers, J., 2002.
Modeling of a Deepwater Turbidite Reservoir Conditional to Seismic Data Using Multiple-Point Geostatistics.
In: SPE Annual Conference and Technical Exhibition, San Antonio, SPE# 77425. 16p.
Caers, J., 2002.
Geostatistical history matching under a training image-based geological model constraints.
In: SPE Annual Conference and Technical Exhibition, San Antonio, SPE# 77429. 16p.
Moysey, S., Knight, R, Allen-King, R.M. and Caers, J., 2002.
The construction of stochastic facies-based models conditioned to ground penetrating radar images.
In: 4th International Conference on Calibration
and Reliability in Groundwater Modeling, Prague, June 17--20. 6p
Younis, R. and Caers, J., 2002.
A method for Static-based upgridding.
In: ECMOR VIII, European Conference on Mathematics of Oil Recovery, Freiberg, Germany, Sept. 3-6, 8p.
Tureyen, I, and Caers, J., 2002.
A Geostatistical approach to history matching flow and pressure data on non-uniform grids.
In: ECMOR VIII, European Conference on Mathematics of Oil Recovery, Freiberg, Germany, Sept. 3-6, 8p.
Caers, J., 2002.
Methods for history matching under geological constraints.
In: ECMOR VIII, European Conference on Mathematics of Oil Recovery, Freiberg, Germany, Sept. 3-6, 8p.
Caers, J., 2002.
Stochastic inverse modeling under realistic prior model constraits using multiple-point geostatistics.
Invited presentation for the IMA 2002 Workshop on "Quantifying uncertainty
and multiscale phenomena in subsurface processes, Minneapolis, Minnesota, Jan 7-11.
Caers, J. and Ma, X., 2002
Modelling
conditional distributions of facies from seismic.
Mathematical Geology, 34, 2, 139-163
Remy, N., Shtuka, A., Levy, B. & Caers, J., 2002
GsTL: a geostatistical template library in C++.
Computers & Geosciences, 28, 971-979.
Caers, J. and Srinivasan, S. (2002)
Statistical
pattern recognition and geostatistical data integration.
In: Soft computing for reservoir characterization
and modeling, eds. Wong, P. et al., Springer Verlag,
355-386.
2001
Remy, N., Shtuka, A., Levy, B. & Caers, J., 2001.
GsTL:
a geostatistical template library in C++.
In: Proceedings of
the IAMG2001, Annual Conference of the International
Association for Mathematical
Geology , Cancun, Mexico, Sept 6-12.
Caers, J., 2001.
The next frontier in Petroleum Geostatistics
Keynote address at
the IAMG2001, Annual Conference of the International
Association for Mathematical
Geology , Cancun, Mexico, Sept 6-12.
Krishnan, S. & Caers, J.
Conditioning
Fine Scale Geostatistical Realizations to Arbitrary Types of Large
Scale
Block Averages.
In: Proceedings
of the IAMG2001, Annual Conference of the International
Association for Mathematical
Geology , Cancun, Mexico, Sept 6-12.
Arpat, G.B., Caers, J. & Haas, A., 2001.
Characterization
of West-Africa Submarine channel reservoirs: a neural network-based
approach
to integration of seismic data. In:
SPE Annual Conference and Technical Exhibition,
New Orleans, Sept.
30 - Oct 3. SPE# 71345.
Caers, J., 2001
A
neural network approach to principal component analysis: application to
well-test dataset
Stanford Center for
Reservoir Forecasting, Annual Meeting, v. 14, may 10-11, 2001. 34p.
Caers. J, Krishnan, S., Wang, Y.D. and Kovscek, T.
A
geostatistical approach to streamline-based history matching.
Stanford Center for
Reservoir Forecasting, Annual Meeting, v. 14, may 10-11, 2001. 33p.
Arpat,G.B.. and Caers, J,
Feature-based
calibration of an automated seismic interpretation tool from human expert
knowledge.
Stanford Center for
Reservoir Forecasting, Annual Meeting, v. 14, may 10-11, 2001. 45p.
Strebelle, S., Journel, A.G. and Caers, J. (2001).
Data
Integration with multiple-point geostatistics,
in Third IMA Conference on Modeling Permeable Rocks,
March 27-29, Cambridge.
Caers, J. and Haas,
A. (2001).
Calibrating
an automated seismic interpretation tools from human expert knowledge,
in Third IMA Conference
on Modeling Permeable Rocks, March 27-29, Cambridge.
Caers, J. (2001).
Geostatistics:
from pattern recognition to pattern reproduction.
In: Soft computing
and intelligent data analysis in oil exploration,
Nikravesh, M, Aminzadeh,
F and Zadeh, L. (eds.), Elsevier Publisher. To be published end 2001.
Caers, J. and Srinivasan,
S. (2001).
Combining
geological information with seismic and production data.
In: Soft computing
and intelligent data analysis in oil exploration,
Nikravesh, M, Aminzadeh,
F and Zadeh, L. (eds.), Elsevier Publishers. To be published end 2001.
(+figures
1 to 10)
Caers, J., Avseth,
P. and Mukerji, T. (2001).
Geostatistical
integration of rock physics, seismic amplitudes and geological
models
in North-Sea turbidite systems
The Leading Edge,
20, 3, p 308-312, or SPE71321.pdf
Caers, J. (2001).
Automatic
histogram and variogram reproduction in simulated annealing simulation.
Mathematical Geology,
33, 2, 167-190
Caers, J. (2001)
Geostatistical
reservoir modeling using statistical pattern recognition.
Journal of Petroleum
Science and Engineering, 29, 3, 177-188.
2000
Caers, J. (2000).
The role of pattern
recognition in geostatistical data integration
AAPG Hedberg Conference
on Applied Reservoir Characterization using Geostatistics.
December 3-6, The
Woodlands, Texas, USA.
Caers, J. (2000).
Multiple-point
Geostatistics: methodology and case histories.
Keynote address, Chevron
Reservoir
characterization and Geostatistics forum, San Ramon, CA, November 7-8.
Caers, J., Srinivasan
S. and Journel, A.G. (2000).
Geostatistical
quantification of geological information in North Sea fluvial reservoirs.
SPE Reservoir Evaluation
and Engineering, SPE# 66310, 3, 5, 457-467.
Caers, J. and Srinivasan,
S. (2000)
A
fast Markov chain Monte Carlo simulation method for conditioning reservoir
models to dynamic data.
In: Proceedings to
the 7th European Conference on Mathematics of Oil Recovery, EAGE, Sept
5-8, Baveno,
Lago Maggiore, Italy.
8p.
Caers, J, (2000)
The
A,B,C of a modern geostatistics.
In: Proceeding to
the 20th gOcad Annual Meeting, Nancy, France, June 19-20. 4p.
Caers, J. (2000)
Direct
sequential indicator simulation.
In: Proceedings of
the 6th International Geostatistics Congress, Kleingeld, W. and Krige,
D (eds.),
Cape Town, South Africa,
April 10-14, 2000. 12p.
Caers, J. (2000)
Geostatistical
modeling of offshore diamond deposits..
In: Proceeding to
the 6th International Geostatistics Congress, Kleingeld, W. and Krige,
D (eds.),
Cape Town, South Africa,
April 10-14, 2000. 12p.
Caers, J. and Ma, X.
(2000)
Modelling
conditional distributions of facies from seismic.
Stanford Center for
Reservoir Forecasting, Annual Meeting, v. 13, may 4-5, 2000. 42p.
Caers, J. (2000)
Metropolis-annealing
simulation.
Stanford Center for
Reservoir Forecasting, Annual Meeting, v. 13, may 4-5, 2000. 22p.
Caers, J. (2000)
Iterative
Gauss-Markov simulation.
Stanford Center for
Reservoir Forecasting, Annual Meeting, v. 13, may 4-5, 2000. 23p.
Caers, J. (2000)
Geostatistical quantification
of structural data in a North-Sea Reservoir.
In: Proceeding to
the AAPG Annual Meeting, New Orleans, April 16-19, 2000. 4p.
Srinivasan, S. and
Caers, J. (2000)
Conditioning
reservoir models to dynamic data -- a forward modeling perspective.
In: SPE Annual Conference
and Technical Exhibition, Dallas, Oct. 1-4,
Production operations
and Engineering, SPE # 62941, 107-122.
Caers, J. (2000).
Adding
local accuracy to direct sequential simulation.
Mathematical Geology,
v32, no 7, 815-850.
1999
Caers, J. & Van
Dyck, J. (1999).
A double bootstrap
method for obtaining confidence in non-parametric tail estimation.
Computational Statistics
& Data Analysis, 26, 259-277.
Caers, J. (1999).
"Basic Linear Geostatistics"
Book Review of M.
Armstrong : Basic Linear Geostatistics. Earth Sciences Review, 47, 146-147.
Caers, J. (1999).
Extreme value statistics
for the Earth sciences
In : Current Issues
in Statistics, University Centre for Statistics, Katholieke Universiteit,
Leuven, Belgium.
Caers, J. (1999).
Markov chain theory
for spatial stochastic simulation
Stanford Center for
Reservoir Forecasting, Annual Meeting, v. 12, may 13-14, 1999.
Caers, J. (1999).
Towards
a pattern recognition-based geostatistics. + additional
figures.
Stanford Center for
Reservoir Forecasting, Annual Meeting, v. 12, may 13-14, 1999.
Caers, J. (1999).
Multiple-point Geostatistics
In: Procceding to
the 19th gOcad Annual Meeting, Nancy, France, june 16-17, 1999.
Caers, J. (1999).
Stochastic reservoir
characterization using multiple-point statistics.
In: Proceedings of
the IAMG 99, Fifth Annual Conference of the International
Association for Mathematical
Geology , Lippars, S.G. et al (eds. ). v2, 467-472.
Caers, J., Srinivasan
S. and Journel, A.G. (1999).
Geostatistical quantification
of structural data in a North-Sea Reservoir.
In: Proceeding
to the SPE Annual Conference and Technical Exhibition, Houston,
Texas, October 3-6,
1999, pp 1--16 .SPE# 56655.
Caers, J., Beirlant,
J. and Maes, M.A. (1999).
Statistics for modelling
heavy tailed distributions in geology, Part I: Methodology.
Mathematical Geology,
31, 391-410.
Caers, J., Beirlant,
J. and Maes, M.A. (1999).
Statistics for modelling
heavy tailed distributions in geology, Part II: Applications.
Mathematical Geology,
31, 411-434.
1998
Caers, J. and Maes,
M.A. (1998).
Statistics for deciding
on tail behaviour, bounds and end-points.
Structural Safety,
20, 1-23.
Caers, J. (1999).
Stochastic simulation
using neural networks.
Stanford Center for
Reservoir Forecasting, Annual Meeting, v. 11, may 7-8, 1998.
Caers, J. and Maes,
M.A. (1998).
Global valuation of
primary diamond deposits. 27th Symposium on the Application of Computer
Methods
and Operations Research
in the Mineral Industry (Ed. .T. Shaw), Imperial College, London, April
19-23.
Caers, J. and Journel,
A.G. (1998).
A neural network approach
to stochastic simulation. GOCAD ENSG Conference on 3D Modelling
of Natural Objects.
Nancy, France, June 4-5.
Caers, J. and Journel,
A.G. (1998).
Stochastic reservoir
simulation using neural networks trained on outcrop data. Proceedings to
SPE Technical Exhibition
and Annual Conference,
Formation Evaluation and Reservoir Geology, Sept. 28-29, New Orleans, 321-336.
Maes, M.A. and Caers,
J. (1998).
Tail estimation of
bounded random variables. Proceedings to IFIP Conference on Optimization
and Reliability of
Structural Systems,
Krakow, Poland, May 11-13, 207-214.
1997
Caers, J. & Vervoort,
A. (1997).
Assessing the quality
of diamonds.
Mineral Resources
Engineering, 5, 155-177.
Caers, J., Swennen,
R. & Vervoort, A. (1997).
Petrography and X-ray
Computerized tomography applied as an integral part of a rock mechanics
investigation of discontinuities.
Trans. Instn. Min.
Met., section B : Applied Earth Sciences, 106, 35-44.
1996
Caers, J., Vynckier,
P., Beirlant, J. & Rombouts, L.(1996).
Extreme value analysis
of diamond size distributions.
Mathematical Geology,
28, 1, 25-43.
Caers, J., Swennen,
R. and Dusar, M. (1996).
Diagenetic history
of Westphalian A & B fluvio-deltaic deposits : an example from the
Peer Borehole (Campine Basin, NE-Belgium).
Zbl. Geol. Palaont.,
11/12, 1211-1236.
Caers, J. (1996).
A general family of
counting distributions suitable for modelling cluster phenomena.
Mathematical Geology,
28, 5, 601-624.
Caers, J. & Rombouts,
L. (1996).
Valuation of primary
diamond deposits by extreme value statistics.
Economic Geology,
91, 854-871.
Caers, J., Beirlant,
J. & Vynckier, P. (1996).
Bootstrap confidence
intervals for tail indices.
Computational Statistics
& Data Analysis, 26, 259-277.
Caers, J. & Vervoort,
A. (1996).
A numerical maximum
likelihood method for estimating the mean of a compound lognormal distribution.
26th Symposium on
the Application of Computer Methods and Operations Research in the Mineral
Industry (Ed. R.V. Ramani), Pennsylvania State University, University Park,
USA, 27--35.
Caers, J., Gelders,
J., Vervoort, A. & Rombouts, L. (1996).
Non-conditional and
conditional simulation of a spatial point process : applications to diamond
deposits. International Geostatistics Congress (Eds. E. Baafi and N. Schofield),
Wollongong, Australia, Kluw.Ac. Publ., 270-281.
1995
Caers, J. & Vynckier,
P. (1995).
Quantile plots and
extreme value statistics : Indicators of truly non-Gaussian behaviour.
Les Cahiers de Geostatistique,
5, 126-134.
Caers, J. (1994). Sedimentology
of Westphalian A & B
sandstones from the
Peer Borehole. Ann. Soc. Geol. Belg, T 116, 179-183.