Zobrazeno 1 - 10
of 16
pro vyhledávání: '"C.B. Tjolsen"'
Publikováno v:
SPE Formation Evaluation. 11:141-145
Summary Heterogeneous reservoir units comprised of fluvial channel sandstones that alternate vertically and laterally with finer grained, nonreservoir lithologies pose a serious problem to production drilling and field development planning. The inter
Autor:
C.B. Tjolsen, Eivind Damsleth
Publikováno v:
SPE Formation Evaluation. 9:295-299
Summary This paper describes a technique for conditioning stochastic simulation of permeability on a geologic description grid to the observed core-plug measurements. The technique handles the transition from core-plug to reservoir-description scale
Publikováno v:
Journal of Petroleum Science and Engineering. 10:273-290
During recent years Norsk Hydro has developed a 3D model for the simultaneous generation of stochastic absolute and relative permeabilities. By using a unique set of core data containing relative permeability curves measured on 85 core plugs from one
Publikováno v:
Journal of Petroleum Technology. 44:402-486
Summary We present a two-stage stochastic model that caters to the large-scalegeological heterogeneities resulting from different rock types and the inherentspatial variability of rock properties. The suggested approach combines severalelements from
Publikováno v:
All Days.
Abstract During the last couple of years Norsk Hydro has developed a 3D model for simultaneous generation of stochastic absolute and relative permeabilities. By using core data containing relative permeability curves measured on a large number of cor
Autor:
C.B. Tjolsen, Eivind Damsleth
Publikováno v:
All Days.
Abstract During the last few years, a two-stage stochastic model for 3-D modelling of reservoir architecture and absolute permeability has been developed and utilized in field permeability has been developed and utilized in field development studies.
Publikováno v:
Scopus-Elsevier
Abstract The aim of the study is to condition stochastic generated realizations on well test data in order to improve simulation of facies and petrophysics in fluvial reservoirs. First we have used the pressure data to estimate the shortest distance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec4d6c4cb4e3f869041788a1f701333a
http://www.scopus.com/inward/record.url?eid=2-s2.0-0029545944&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-0029545944&partnerID=MN8TOARS
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