AVA FROM MULTICOMPONENT DATA FOR QUANTITATIVE EVALUATION OF GAS

A series of synthetic models, simulating varying scenarios of hydrate distribution in the pores, showed potential for utilizing amplitude versus offset (AVA) from multicomponent data for quantifying potential hydrocarbons when encountering a Bottom Simulating Reflector (BSR). Using a 4C dataset acqu...

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Bibliographic Details
Main Authors: Helge Sognnes, Tor Arne Johansen, Jan Langhammer, Eivind Frømyr
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Subjects:
Norwegian Sea
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.561.1659
http://www.pgs.com/upload/31052/data.pdf
Description
Summary:A series of synthetic models, simulating varying scenarios of hydrate distribution in the pores, showed potential for utilizing amplitude versus offset (AVA) from multicomponent data for quantifying potential hydrocarbons when encountering a Bottom Simulating Reflector (BSR). Using a 4C dataset acquired over an inferred gas hydrate location in the Norwegian Sea, it has been established a link between observations made in the synthetic data and the real data. This was obtained utilizing a hybrid rock physics modeling approach, combining contact cementation theory (CCT) and effective medium theory (EMT).

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