Geostatistics for Seismic Data Integration in Earth Models

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Dubrule O. Caers J. Doligez B.

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Dutton D. Eaton T. Sheriff R. Onajite E. Chopra S. Tarantola A. Kemper M. Lancaster S. Debeye H. Fatti J. Hampson D. Haas A. Gunning J. Ravalec-Dupin L. Angeleri G. Doyen P. De Buyl M.

Geostatistics for Seismic Data Integration in Earth Models

Cole J. Bornard R. Bosch M. Saussus D. Avseth P.

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Coulon J. Deutsch C. Lumley D. Bahar A. The course document will provide a support to the course, and further extend some of the more technical considerations. As a result of following this course, geoscientists, and more specifically geophysicists will better understand how geostatistics fits into their workflow, what tools and techniques they should use depending on the problem at hand, and what added-value may result from its use.

During his career, he has held a variety of staff and management positions where he developed and applied new techniques for reservoir characterisation, earth modelling, risk analysis and uncertainty quantification. Dubrule recently became manager of Geoscience Training and Communication. Dubrule has authored more than twenty papers in the field of geostatistics and earth modelling.

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Geostatistics for Seismic Data Integration in Earth Models

Walgenwitz, and P. Sahimi, G. Mariethoz, and A. Hezarkhani , Accelerating geostatistical simulations using graphics processing units GPU , Computers and Geosciences, 46, Sahimi, and J. Toftaker, H. Wu, J. Zhang, et al. Mathematical Geosciences 40 7 : Pedersen, C. Knudby, and D.

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Applications Abdollahifard, M. Ahmadi, R. Masihi, M. Rasaei, K. Eskandaridalvand, and R. Bastante, F. Taboada, and J. Blouin, M. Martel, and E. Kyriakidis, and C. Costa, L. Rasera, and E. Caers, J. Strebelle, and K. Payrazyan , Stochastic integration of seismic data and geologic scenarios: a West Africa submarine channel saga, The Leading Edge , 22 3 , Zhang , Multiple-point geostatistics: a quantitative vehicle for integrating geologic analogs into multiple reservoir models, in Integration of outcrop and modern analog data in reservoir models, AAPG memoir 80 , edited by G.

Grammer, Harris, P. Renard, J.

Straubhaar, and P. Bayer , Three-dimensional high resolution fluvio-glacial aquifer analog: Part 2: geostatistical modeling, Hydrol. Jha, B. Giambastiani, G. Mariethoz, and B. Dickson, N. Gardiner, G.

Pickup, J. Cabrera , Best practice stochastic facies modeling from a channel-fill turbidite sandstone analog the Quarry outcrop, Eocene Ainsa basin, northeast Spain , AAPG Bulletin , 90 7 , Feng, W. Wu Feyen, L. Caers , Quantifying geological uncertainty for flow and transport modelling in multi-modal heterogeneous formations, Water Resour. Ge, Y. Bai Bai , Multiple-point simulation-based method for extraction of objects with spatial structure from remotely sensed imagery, International Journal of Remote Sensing, 32 8 , , Gonzales, E.

Mukerji, and G.

Semivariogram Example Calculation

Mavko , Seismic inversion combining rock physics and multiple-point geostatistics, Geophysics, 73 1 , RR21, Goodfellow, R. AlborConsuegra, R. Dimitrakopoulos, and T. Hashemi, S. He, X. Sonnenborg, F. Jensen , The effect of training image and secondary data integration with multiple-point geostatistics in groundwater modeling, Hydrol. Earth Syst.

Hoffman, B. Caers , History matching by jointly perturbing local facies proportions and their spatial distribution: Application to a North Sea reservoir, Journal of Petroleum Science and Engineering , 57 , Dassargues , Application of multiple-point geostatistics on modelling groundwater flow and transport in a cross-bedded aquifer Belgium , Hydrogeol.

Leonardo Azevedo | CERENA

Dassargues , Modeling the effect of clay drapes on pumping test response in a cross-bedded aquifer using multiple-point geostatistics, J. Orban, E. Cochet, M. Possemiers, B. Ronchi, K.


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