Computational Rheology for Pipeline and Annular Flow book cover

Computational Rheology for Pipeline and Annular Flow

Non-Newtonian Flow Modeling for Drilling and Production, and Flow Assurance Methods in Subsea Pipeline Design

Computational Rheology for Pipeline and Annular Flow develops and applies modern analytical and computational finite difference methods for solving flow problems in drilling and production. It also provides valuable insights into flow assurance analysis in subsea pipeline design. Using modeling techniques that simulate the motion of non-Newtonian fluids, e.g., power law, Bingham plastic, and Herschel-Bulkley flows, this book presents proven annular flow methodologies for cuttings transport and stuck pipe analysis based on detailed experimental data obtained from highly deviated and horizontal wells. These methods are applied for highly eccentric borehole geometries to the design of pipeline bundles in subsea applications, where such annular configurations arise in velocity and thermal modeling applications.Also covered extensively are the design and modeling of pipelines having non-circular cross-sections, where deviations from ideal circular geometries arise from plugging due to wax deposition and the presence of hydrates and asphaltenes. As in the case of annular flows, the new algorithms apply to fluids with general rheological description; for example, the methods show very precisely how flow rate and pressure gradient vary nonlinearly in practical problem situations.

Audience
chemical engineers, petroleum engineers

Hardbound, 272 Pages

Published: June 2001

Imprint: Gulf Professional Publishing

ISBN: 978-0-88415-320-7

Contents

  • Basic Rheological Notions And Modeling Concepts; Industrial Applications; Fundamental Mathematical And Numerical Ideas; Eccentric Annular Flow; Concentric Rotating Flow; Recirculating Vortex Flows; Applications To Drilling And Production; Annular Modeling For Bundled Pipelines; Pipe Flow Modeling In General Ducts; Flow In Clogged Pipelines; Pipe Bends; Advanced Modeling Methods

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