001     136108
005     20200610184425.0
024 7 _ |2 sirsi
|a (Sirsi) a268465
024 7 _ |2 ISSN
|a 0944-2952
024 7 _ |2 Handle
|a 2128/3566
037 _ _ |a PreJuSER-136108
041 _ _ |a German
084 _ 0 |2 ZB
|a GHHF - Sedimentary basins
088 1 _ |a Juel-3082
088 _ _ |a Juel-3082
|2 JUEL
100 1 _ |a Zwach, Christian
|b 0
|e Corresponding author
245 _ _ |a Diagenesis and temperature history of the cadotte sandstone, Alberta deep basin, Canada
|b integration of reservoir quality analysis and basin modeling
|h [E-Book]
260 _ _ |a Jülich
|b Forschungszentrum
|c 1995
300 _ _ |a XIV, 173 S.
336 7 _ |0 PUB:(DE-HGF)29
|2 PUB:(DE-HGF)
|a Report
|m report
336 7 _ |2 DataCite
|a Output Types/Report
336 7 _ |2 BibTeX
|a TECHREPORT
336 7 _ |2 ORCID
|a REPORT
336 7 _ |0 10
|2 EndNote
|a Report
336 7 _ |2 DRIVER
|a report
490 0 _ |0 PERI:(DE-600)2414853-2
|a Berichte des Forschungszentrums Jülich
|v 3082
500 _ _ |a Record converted from JUWEL: 18.07.2013
520 _ _ |a An integrated approach was applied to study how reservoir quality has evolved in one of the major gas reservoirs in the Alberta Deep Basin, the Albian Cadotte Sandstone. The study area lies in the northern part of the basin close to the Elmworth gas field. Porosity and permeability of the Cadotte Sandstone is very low and decreases generally with the burial depth. However, detailed analyses show that formation porosity decreases much more regularly with the estimated maximum burial depth than with the present burial depth. Geostatistical analysis exhibits a spatial anisotropy of formation porosity in that porosity varies more in strike direction than in dip direction ofthe formation. Porosity and permeabilityofthe Cadotte is mainly affected by early formation of pore filling kaolinite, and later grain-surface-dissolution of rock fragments, and quartz cementation. Kaolinite formation resulted from the breakdown of muscovite and K-feldspar under the influence of meteoric water with low [I1]/[K+] ratio. Rock fragments such as chert grains were affected by grain-surface-dissolution due to surface reactions between illitic clay minerals and microcrystalline quartz. This process resulted in the formation of stylolitic grain-to-grain contacts and thick solution seams containing mainly illite. The released silica precipitated selectively on detrital monocrystalline quartz grains with lower specific surface area. The overall process of silica redistribution can be regarded as grain coarsening, analogous to Ostwald ripening. Best reservoir quality is therefore found in well-sorted, coarse-grained sediments with low amounts of pore filling kaolinite. Critical factors for the redistribution of silica, besides the maximum burial depth of the formation, are the amount of detrital quartz grains, the illite content of the rock fragments, the crystal size of the quartz in the fragments, and the presence of kaolinite between the grains. Basin modeling applied to the study area shows that the maximum temperature in the Cadotte Sandstone was reached in Early Tertiary times when deepest burial occurred. A comparison of quartz cementation temperatures derived from fluid inclusion studies of the Cadotte with the reconstructed temperature history of the formation showed a close match of the maximum burial temperature with the maximum cementation temperatures. Fluid inclusion data of quartz cements may therefore be used to some extent for further calibration of basin models. Coupled chemical reaction and fluid flow modeling using the reconstructed temperature history of the Cadotte Sandstone as input showed that advective fluid flow can not account for the widespread occurrence of quartz cement in the formation. This indicates the importance of internal redistribution processes during deep burial diagenesis. Sensitivity analyses of the basin model showed that the effect of heat insulation of the gas emplacement in the Alberta Deep Basin is a critical factor in determining the accurate temperature and heat flow history in addition to lithological parameters such as coal percentages in formations. Gas filling of pore space may therefore result in a feed back effect, where increased heating of source rocks due to heat insulation causes additional hydrocarbon generation. An enhanced understanding of the history of reservoir quality results from the integration of reservoir quality analysis and basin modeling and is thus important for reservoir quality prediction in the exploration and the production of gas, oil and water from sedimentary formations.
540 _ _ |a Neither this book nor any part of it may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, microfilming, and recording, or by any information storage and retrieval system, without permission in writing from the publisher.
650 _ 4 |a diagenesis
650 _ 4 |a sandstone
650 _ 4 |a computer simulation
650 _ 4 |a model
650 _ 4 |a modeling
650 _ 4 |a heat flux
650 _ 4 |a lithography
710 2 _ |a Institut für Erdöl und Organische Geochemie (Jülich, 4)
710 2 _ |a Universität (Kiel)
856 4 _ |u https://juser.fz-juelich.de/record/136108/files/Juel_3082_Zwach.pdf
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909 C O |o oai:juser.fz-juelich.de:136108
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