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Title: Static modelling of a shallow-marine carbonate reservoir analogue : prediction of facies distribution, sequence stratigraphy and fault-associated dolostone geometry
Author: Yao, Shuqing
ISNI:       0000 0004 7961 2797
Awarding Body: University of Aberdeen
Current Institution: University of Aberdeen
Date of Award: 2019
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Fault-associated dolomitization usually results in highly heterogeneous petrophysical properties in carbonate reservoirs, presenting significant challenges for their exploration and production. Outcrop analogues are essential for understating the impacts of diagenesis on reservoir quality, and to define the parameters that are key for their effective prediction. This PhD thesis aims to (i) determining the depositional, diagenetic and structural controls on a range of fault-associated dolostone geometries and (ii) incorporate them into static modelling workflows to better predict the distribution of petroghysical properties in subsurface reservoirs. The study is based on the world-class Benicàssim outcrop analogue (E Spain) using the workflow "from outcrop to simulation". Results reveal that a maser feeding fault, a top seal, and the stratigraphic, depositional and structural framework are crucial for the geometry and distribution of fault-associated dolostones. Particularly, a lateral potential dolomitization extent and a vertical potential dolomitization interval are defined, and are interpreted to be genetically related to the master feeding fault and the top seal, respectively. In this framework, the relative vertical position of the interval with respect to the sediments that can potentially be replaced is also a key factor in determining which beds and facies are replaced (and thus to predict dolostone distributions). The improved knowledge is used as a guide to model the variability of carbonate rocks and especially, the associated diagenetic bodies (i.e., dolostones). A genetic-based workflow for diagenesis modelling is proposed, and incorporates the traditional geometry-based and the geostastical modelling methods. This approach not only produces static models that match well field data, but also directly provides a predictive genetic realisation of fault-associated dolostones based on limited geological data. The latter is lack in previous studies. The research findings provide a new framework for the better prediction and development of fault-associated dolomitized reservoirs in shallow-marine carbonates. It also provides new insights into the controls and modelling of other diagenetic processes.
Supervisor: Gomez-Rivas, Enrique ; Howell, John A. ; Martín-Martín, Juan Diego Sponsor: Elphinstone Institute ; China Scholarshp Council ; American Association of Petroleum Geologists ; British Sedimentological Research Group ; Aberdeen University
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: Carbonate reservoirs ; Facies (Geology) ; Sequence stratigraphy ; Dolomite ; Faults (Geology)