--> ABSTRACT: 3-D Geologic Model of Permeability in a Deep-Water Sandstone, East Brae Field, North Sea, by J. L. White; #90909 (2000)
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WHITE, JENNIFER L., Colorado School of Mines, Dept. of Geology, Golden, CO

ABSTRACT: Previous Hit3-DNext Hit Geologic Model of Permeability in a Deep-Water Sandstone, East Brae Field, North Sea

The purpose of this thesis is to predict cementation and permeability distribution in Previous Hit3-DNext Hit based on the relationship between quartz overgrowths and permeability. Empirical relationships exist to link quartz overgrowth cement volumes, capillary pressure data, and nuclear magnetic resonance (NMR) responses to permeability. In order to test the relationship, NMR analyses will be performed to quantify pore-body size distributions. Capillary pressure tests will quantify pore-throat size distributions on the same samples used in a preceding study that quantified quartz cementation for the East Brae field. A neural network will be used to predict permeabilities in the uncored wells. A Previous Hit3-DNext Hit geologic model will then be built using Earth Vision software (Dynamic Graphics Inc.). The model will include log porosity, core analysis permeability, quartz cement volumes, stylolite abundances, paleo oil-water contacts and mapped horizons and fault surfaces from Previous Hit3-DNext Hit seismic data. Assuming there is a relationship between permeability and quartz overgrowth cement volumes, I should be able to predict the field wide distribution of quartz cement in Previous Hit3-DNext Hit, which will lead to a field-wide permeability model.

This thesis includes research directly related to formation evaluation and characterization of a structurally complex reservoir. If the relationship between quartz cement overgrowths and permeability exists, there would be justification for running NMR logging tools in similar sandstone reservoirs. The Previous Hit3-DTop geologic model would provide possibilities for further development of this field, perhaps using infill or horizontal wells. The model could also be input into a reservoir simulator for further production modeling.

AAPG Search and Discovery Article #90909©2000 AAPG Foundation Grants-in-Aid