Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Pierre Biver"'
Publikováno v:
Journal of Petroleum Science and Engineering
Journal of Petroleum Science and Engineering, Elsevier, 2019, 176, pp.116-125. ⟨10.1016/j.petrol.2019.01.035⟩
Journal of Petroleum Science and Engineering, Elsevier, 2019, 176, pp.116-125. ⟨10.1016/j.petrol.2019.01.035⟩
International audience; Underground fluid flow in hydrocarbon reservoirs (or aquifers) is difficult to predict accurately due to geological and petrophysical uncertainties. To quantify that uncertainty, several spatial statistical methods are often u
Autor:
Yassine Alexandre Perrier, Philippe Renard, Guillaume Caumon, Pierre Biver, Benoit Nœtinger, Pauline Mourlanette
Publikováno v:
Advances in Water Resources
Advances in Water Resources, Elsevier, 2020, 143, pp.103665. ⟨10.1016/j.advwatres.2020.103665⟩
Advances in Water Resources, Elsevier, 2020, 143, pp.103665. ⟨10.1016/j.advwatres.2020.103665⟩
International audience; Uncertainties related to permeability heterogeneity can be estimated using geostatistical simulation methods. Usually, these methods are applied on regular grids with cells of constant size, whereas unstructured grids are more
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c7a0fd11cc2c05a40ea56ef88c79f57
https://hal.univ-lorraine.fr/hal-02891780
https://hal.univ-lorraine.fr/hal-02891780
Publikováno v:
Mathematical Geosciences. 51:109-125
Multiple point statistics (MPS) algorithms allow generation of random fields reproducing the spatial features of a training image (TI). Although many MPS techniques offer options to prescribe characteristics deviating from those of the TI (e.g., faci
Publikováno v:
Environmental Modelling & Software. 72:184-197
In the last years, the use of training images to represent spatial variability has emerged as a viable concept. Among the possible algorithms dealing with training images, those using distances between patterns have been successful for applications t
Publikováno v:
Quantitative Geology and Geostatistics
Geostatistics
Geostatistics, Apr 2016, Valencia, Spain
Geostatistics Valencia 2016
Geostatistics Valencia 2016, pp.449-458, 2017, 978-3-319-46818-1. ⟨10.1007/978-3-319-46819-8_30⟩
Geostatistics Valencia 2016 ISBN: 9783319468181
Geostatistics
Geostatistics, Apr 2016, Valencia, Spain
Geostatistics Valencia 2016
Geostatistics Valencia 2016, pp.449-458, 2017, 978-3-319-46818-1. ⟨10.1007/978-3-319-46819-8_30⟩
Geostatistics Valencia 2016 ISBN: 9783319468181
International audience; Traditionally, geostatistical simulations are performed on regular grids, in IJK coordinates system, simulating centroids of the cells. This approach (commonly used) has severe drawbacks: the support size effect is not taken i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bf21291daef14b74232c2788d231dfb
https://hal.inrae.fr/hal-02735747
https://hal.inrae.fr/hal-02735747
Publikováno v:
ECMOR XV-15th European Conference on the Mathematics of Oil Recovery
ECMOR XV-15th European Conference on the Mathematics of Oil Recovery, 2016, Amsterdam, Netherlands
ECMOR XV-15th European Conference on the Mathematics of Oil Recovery, 2016, Amsterdam, Netherlands
The new generation of reservoir computer models based on unstructured meshes requires appropriate methods for filling the cells with petrophysical data. Classical methods are not applicable to unstructured reservoir models since they can neither trea
Publikováno v:
Proceedings.
SUMMARY Classical approaches to geostatistical simulations are not applicable directly on irregular reservoir models (such as Voronoi polygon and tetrahedron meshed models). One of the main difficulties is that the block marginal distributions are un
Publikováno v:
Proceedings.
Among the process-based methods, the Lateral Offset Channels (LOSCs) simulation method has been especially designed to simulate logical chronological sequences of channels. The last (most recent) channel observed on spectral maps is fitted with a B-s
Publikováno v:
Mathematical Geology
Mathematical Geology, Springer Verlag, 2006, 38 (8), pp.959-986. ⟨10.1007/s11004-006-9057-5⟩
Mathematical Geology 8 (38), 959-986. (2006)
Mathematical Geology, Springer Verlag, 2006, 38 (8), pp.959-986. ⟨10.1007/s11004-006-9057-5⟩
Mathematical Geology 8 (38), 959-986. (2006)
International audience; Although boolean model simulation has been widely used during the last two decades to simulate sedimentary bodies (especially in fluvio-deltaic environments), a key issue has subsisted. One of the most important parameter for
Publikováno v:
Mathematical Geology. 34:703-714
Geostatistical simulations of lithotypes or facies are commonly used to create a geological model and to describe the heterogeneities of petroleum reservoirs. However, it is difficult to handle such models in the framework of multiple realizations to