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Title: Controls of diagenesis and structural deformation on reservoir quality in red beds
Author: Tuan, V. P.
Awarding Body: University of Aberdeen
Current Institution: University of Aberdeen
Date of Award: 2007
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Devonian Old Red and Permo-Triassic New Red Sandstones from sedimentary basins around Scotland provide excellent analogues for reservoirs of dominantly fluvial and aeolian facies in hydrocarbon-bearing basins of the Northern and Southern North Sea. Controls of diagenesis and structural deformation on selected red beds are characterized and constrained by petrographic and petrophysical analyses together with production data. Quantification of controls on porosity modification provides post-depositional history of a sample for modelling the content of intergranular porosity and cement at any back-stripped stage. An innovative back-stripping model was developed to assess the relative importance of diagenetic and cataclastic processes, and to simulate the development of rock porosity during diagenesis. Cementation is more important than compaction and cataclasis in terms of porosity destruction in most studied cases. Additionally, the relative importance of cataclasis and normal diagenesis can also be quantified using the estimation of poroperm-loss ratios between these processes. Normal diagenesis, excluding structural deformation, is more important than cataclasis in the reduction of porosity and permeability in all selected NRS and ORS samples. Diagenesis and structural deformation modify the volume of interconnected pores defined as effective porosity in the deformed rock. A new approach to the estimation and prediction of effective porosity is proposed using a combination of helium expansion and mercury injection analyses. Quantification of the impact of diagenesis and structural deformation on selected red beds supplements data for modelling porosity development, and for assessing the relative importance between these processes. When integrated with reservoir characterization from core and production logging data, the quantification provides important information for understanding reservoir quality.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available