Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/316
Title: Geostatistical Analysis of Reservoir Parameters in Minagish Field, State of Kuwait
Other Titles: التحليل الجيولوجي الأحصائي لعوامل وخصائص مكمن النفط في حقل مناقيش, دولة
Authors: Tasneem Ahmed Alrashed 
Supervisor: Prof. Rao Divi
Keywords: Geostatistical Analysis of Reservoir Parameters in Minagish Field
Issue Date: 2014
Publisher:  Kuwait university - college of graduate studies
Abstract: The main production in the Minagish Field in southwestern part of Kuwait comes from Lower Cretaceous Minagish Oolite reservoir that contains 84 percent of the field's reserves and has contributed over 80 percent of the field production. The reservoir is the primary focus of future development plans that call for a four-fold increase in production. Porosity and permeability are critically important in modeling exploitation strategies. Reservoir quality depends essentially on the nature, amount and spatial continuity of porosity and permeability. However, such data are known only at a few points in the field where the drill holes are located. In addition, the core porosity and permeability values have large variation. With these two constraints such as limited drill hole data and wide variation in the two most critical parameters of the reservoir, estimation of the values of these two parameters away from the control points is a difficult task with high uncertainty in the estimated values. In this study, recently developed and more robust Geostatistical methods are applied to define appropriate Variogram Models for the spatial variance structures of porosity and permeability observed at drill hole locations, and using these models, to estimate the values at all other locations in the field by applying Kriging and other IDW and Simulation interpolation methods. The results indicate that the Gaussian Variogram Model is appropriate for porosity distribution in the field, whereas, the Speherical Model fits better for horizontal permeability distribution. Among the three interpolation methods, both Point Kriging and Block Kriging resulted in better 3D representations of porosity and permeability distributions in the field that can be related to the geometry of geological structural features, particularly the north trending folded structure and north-northeast striking faults. In general, the 3D representations obtained from IDW and Simulation display v either abrupt changes or too smoothed-out patterns, in view of known geological features. Further ‘fine-tuning’ by conducting Geostatistical analysis separately for each of the 13 relevant ‘zones’ within the Oolite reservoir is useful. In probabilistic terms, the global distribution of the geological properties represents the reservoir. The kriging surface of Minagish formation clearly defines the main N-S trending elongated domal structure and N-NE striking faults. The distribution trend of the porosity and permeability shows high in the central domal pattern in the field.
URI: http://hdl.handle.net/123456789/316
Appears in Programs:0460 Geology

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