Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.485683
Title: Investigations of the filtration parameters of drilling fluids for optimising oil well productivity
Author: Dangou, Mohamad Ali Abdulla
ISNI:       0000 0001 3403 3028
Awarding Body: University of Aberdeen
Current Institution: University of Aberdeen
Date of Award: 2007
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Abstract:
The main objective of this research was to gain further understanding of the behaviour of oil wellbore fluid filtrates, the various factors affecting filter cake quality, and how these can be controlled to reduce the invasion of the filtrate around the wellbore region. The investigations were intended to define filtration behaviour and filter cake parameters at different fluids with various particle size distributions and various wellbore conditions that are: different filtration pressures, different filtration times, and different shear rates acting on the cake surface during dynamic filtration conditions. The results indicated that all the above mentioned filtration parameters have a various degree of influence on the filter cake and filtration parameters. The forces acting on a particle suspended in the wellbore fluids during dynamic cake particle deposition were also analyzed and a dynamic filtration model was developed. This model can be used to determine the average critical shear rate of these particles and the frictional coefficient factors of the particles with the cake surface. The model has then been modified to predict equilibrium filtration flow rate at any shear stress (above the critical value) applied on the cake surface. Investigations on the transient stage of the dynamic filtration agreed with literature and showed that the size of particles deposited onto the cake decreased with increasing cake thickness, causing the particle size distribution of the dynamic filter cake to alter with cake thickness.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.485683  DOI: Not available
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