Please use this identifier to cite or link to this item:
Type: Thesis
Title: A stochastic Buckley-Leverett model.
Author: Carter, Simon J.
Issue Date: 2010
School/Discipline: School of Mathematical Sciences
Abstract: Even while numerical simulation methods dominate reservoir modeling, the Buckley-Leverett equation provides important insight into the physical processes behind enhanced oil recovery. The interest in a stochastic Buckley-Leverett equation, the subject of this thesis, arises because uncertainty is at the heart of petroleum engineering. Stochastic differential equations, where one modifies a deterministic equation with a stochastic perturbation or where there are stochastic initial conditions, offers one possible way of accounting for this uncertainty. The benefit of examining a stochastic differential equation is that mathematically rigorous results can be obtained concerning the behavior of the solution. However, the Buckley-Leverett equation belongs to a class of partial differential equations called first order conservation equations. These equations are notoriously difficult to solve because they are non-linear and the solutions frequently involve discontinuities. The fact that the equation is being considered within a stochastic setting adds a further level of complexity. A problem that is already particularly difficult to solve is made even more difficult by introducing a non-deterministic term. The results of this thesis were obtained by making the fractional flow curve the focus of attention, rather than the relative permeability curves. Reservoir conditions enter the Buckley-Leverett model through the fractional flow function. In order to derive closed form solutions, an analytical expression for fractional flow is required. In this thesis, emphasis in placed on modeling fractional flow in such a way that most experimental curves can readily be approximated in a straightforward manner, while keeping the problem tractable. Taking this approach, a range of distributional results are obtained concerning the shock front saturation and position over time, breakthrough time, and even recovery efficiency.
Advisor: van der Hoek, John
Dissertation Note: Thesis (Ph.D.) -- University of Adelaide, School of Mathematical Sciences, 2010
Keywords: stochastic Buckley-Leverett
Provenance: Copyright material removed from digital thesis. See print copy in University of Adelaide Library for full text.
Appears in Collections:Research Theses

Files in This Item:
File Description SizeFormat 
01front.pdf288.19 kBAdobe PDFView/Open
02whole.pdf2.7 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.