Upper Jurassic Deep-Water Heterogeneous Reservoirs in the Thelma Fields, UK North Sea

1993 ◽  
pp. 17-36 ◽  
Author(s):  
M. Arduini ◽  
U. Biffi ◽  
S. T. J. Cherry ◽  
P. Gianni ◽  
A. Ortenzi ◽  
...  
Keyword(s):  
North Sea ◽  
Deep Water ◽  
Upper Jurassic ◽  
Heterogeneous Reservoirs

Disseminated ‘jigsaw piece’ dolomite in Upper Jurassic shelf sandstones, Central North Sea: an example of cement growth during bioturbation?

Sedimentology ◽  
2000 ◽  
Vol 47 (3) ◽  
pp. 631-644 ◽  
Author(s):  
James P. Hendry ◽  
Mark Wilkinson ◽  
Anthony E. Fallick ◽  
Nigel H. Trewin
Keyword(s):  
North Sea ◽  
Upper Jurassic ◽  
Central North Sea

Turkstra Profiles of North Sea Currents: Wider Than You’d Think

2011 ◽  
Author(s):  
Steven R. Winterstein ◽  
Sverre Haver ◽  
Alok K. Jha ◽  
Borge Kvingedal ◽  
Einar Nygaard
Keyword(s):  
North Sea ◽  
Deep Water ◽  
Current Speed ◽  
Marine Structures ◽  
Marginal Analysis ◽  
Water Currents ◽  
Extreme Loads ◽  
Peak Over Threshold ◽  
Direct Contrast ◽  
Sea Currents

To design marine structures in deep water, currents must be modelled accurately as a function of depth. These models often take the form of T-year profiles, which assume the T-year extreme current speed occurs simultaneously at each depth. To better reflect the spatial correlation in the current speeds versus depth, we have recently introduced Turkstra current profiles. These assign the T-year speed at one depth, and “associated” speeds expected to occur simultaneously at other depths. Two essentially decoupled steps are required: (1) marginal analysis to estimate T-year extremes, and (2) some type of regression to find associated values. The result is a set of current profiles, each of which coincides with the T-year profile at a single depth and is reduced elsewhere. Our previous work with Turkstra profiles suggested that, when applied in an unbiased fashion, they could produce unconservative estimates of extreme loads. This is in direct contrast to the findings of Statoil, whose similar (“CCA”) current profiles have generally been found to yield conservative load estimates. This paper addresses this contradiction. In the process, we find considerable differences can arise in precisely how one performs steps 1 and 2 above. The net finding is to favor methods that properly emphasize the upper tails of the data—e.g., using peak-over-threshold (“POT”) data, and regression based on class means—rather than standard analyses that weigh all data equally. By applying such tail-sensitive methods to our dataset, we find the unconservative trend in Turkstra profiles to essentially vanish. For our data, these tail-fit results yield profiles with both larger marginal extremes, and broader profiles surrounding these extremes—hence the title of this paper.

The source rock potential of the Upper Jurassic– lowermost Cretaceous in the Danish and southern Norwegian sectors of the Central Graben, North Sea

First Break ◽  
2013 ◽  
Vol 31 (1971) ◽  
Author(s):  
H.I. Petersen ◽  
A.C. Holme ◽  
C. Andersen ◽  
M.F. Whitaker ◽  
H.P. Nytoft ◽  
...  
Keyword(s):  
Source Rock ◽  
North Sea ◽  
Upper Jurassic

Prospecting in the Palaeocene Deep Water Sandstones of the Norwegian North Sea

2001 ◽  
Author(s):  
J.S. Willoughby ◽  
A. Van Bockstaele ◽  
J. Kristensen ◽  
T.H. Dale
Keyword(s):  
North Sea ◽  
Deep Water

Unusual Facies and Geometries of the Paleogene Deep-Water Systems in the North Sea - Effects of Sand Remobilisation

2002 ◽  
Author(s):  
D. Duranti ◽  
M. Huuse ◽  
J.A. Cartwright ◽  
A. Hurst ◽  
B. Cronin ◽  
...  
Keyword(s):  
North Sea ◽  
Deep Water ◽  
Water Systems ◽  
The North ◽  
The North Sea
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