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Autor:
Xu‐Dong D. Jing, Jose Finol
Publikováno v:
GEOPHYSICS. 67:817-829
This paper shows how fuzzy rule‐based systems help predict permeability in sedimentary rocks using well‐log responses. The fuzzy rule‐based approach represents a global nonlinear relationship between permeability and a set of input log response
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3dbee116d0999db2678d461f6235ebc
https://doi.org/10.1190/1.1484526
https://doi.org/10.1190/1.1484526
Publikováno v:
Journal of Petroleum Geology. 24:441-458
This paper describes a method of advanced data processing for the inverse problem of lithofacies prediction from well logs using fuzzy partitioning systems. A fuzzy partitioning system consists of a set of fuzzy If-Then rules of the form "If bulk den
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::417c91fe591ffaedc1eca186911b6160
https://doi.org/10.1111/j.1747-5457.2001.tb00685.x
https://doi.org/10.1111/j.1747-5457.2001.tb00685.x
Publikováno v:
Journal of Petroleum Science and Engineering. 29:97-113
A new approach for the prediction of petrophysical rock parameters based on a rule-based fuzzy model is presented. The rule-based fuzzy model corresponds to the Takagi–Sugeno–Kang method of fuzzy reasoning proposed by Sugeno and his co-authors. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b345b744a4d57420ec9852e759dcca59
https://doi.org/10.1016/s0920-4105(00)00096-6
https://doi.org/10.1016/s0920-4105(00)00096-6
Autor:
Alexander de Kruijf, Fred Arkesteijn, Johan van Wunnik, Werner M. Stoll, Hamad al Shureqi, Marinus J. Faber, Ron Bouwmeester, Stella Nneamaka Oyemade, Said Amor Al-harthy, Jose Finol
Publikováno v:
All Days.
Summary After two decades of relative calm, chemical enhanced-oil-recovery (EOR) technologies are currently revitalized globally. Techniques such as alkaline/surfactant/polymer (ASP) flooding, originally developed by Shell, have the potential to reco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b92e64df5929c3e66aa211edfa3066c6
https://doi.org/10.2118/129164-ms
https://doi.org/10.2118/129164-ms
Publikováno v:
All Days.
Building static reservoir model that most accurately represents the geological data and pressure data is the starting point in the reservoir management. A sound depositional model and chronostratigraphic control should be prerequisites for a comprehe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a799838ec02c27a2b7108c4245e61e5
https://doi.org/10.2118/93853-ms
https://doi.org/10.2118/93853-ms
Publikováno v:
All Days.
This paper presents an application of geostatistic in the context of a full field review study for D18 field. A two-stage stochastic modeling approach is applied to distribute the reservoir heterogeneities resulting from different rock types and the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bc0282532eeb4f7ba03745b853cce52
https://doi.org/10.2118/93851-ms
https://doi.org/10.2118/93851-ms
Autor:
S. Buitrago, Jose Finol
Publikováno v:
Scopus-Elsevier
Zadeh's proposal of modelling the mechanism of human thinking with linguistic values rather than ordinary (crisp) numbers led to the introduction of fuzziness into statistical and dynamical modelling and to the development of a new class of systems c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::520cc939ee960400103faebdf9a50fd8
https://doi.org/10.2118/78340-ms
https://doi.org/10.2118/78340-ms
Publikováno v:
All Days.
Resistivity image segmentation allows mapping of similar regions in a scene leading to the recognition of distinct geological features such as rock fractures and thin beds. Recognition of similar patterns embedded in resistivity image data is the bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cbae84453f197902656029814df3ad0
https://doi.org/10.2118/77606-ms
https://doi.org/10.2118/77606-ms
Publikováno v:
All Days.
In this paper we describe a novel approach to fuzzy model identification that gives solution to the inverse problem of permeability prediction from NMR data. The fuzzy logic approach uses fuzzy If-Then rules to establish the relationship between perm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a96b415afc50505fa3829063443536c7
https://doi.org/10.2118/77605-ms
https://doi.org/10.2118/77605-ms