Modelling of two-phase flow through concentric annuli

Ozbayoglu, M. E.
Omurlu, C.
A mathematical model is introduced in order to predict the flow characteristics of multiphase flow through an annulus. Flow patterns and frictional pressure losses estimated using the proposed model are compared with the experimental data of a wide range of liquid and gas flow rates recorded at a flow loop consisting of numerous circular pipes and annulus. The results showed that the model predictions for flow patterns and frictional pressure losses are reasonably accurate. Moreover, it is observed that geometry and liquid phase viscosity have a significant influence on flow pattern transitions and frictional pressure losses.


Comparative study of yield-power law drilling fluids flowing through annulus
Ozbayoglu, M. E.; Omurlu, C. (Informa UK Limited, 2007-01-01)
An exact solution for calculating the frictional pressure losses of yield-power law (YPL) fluids flowing through concentric annulus is proposed. A solution methodology is presented for determining the friction factor for laminar and nonlaminar flow regimes. The performance of the proposed model is compared to widely used models as well as the experimental results of 10 different mud samples obtained from the literature. The results showed that the proposed model could estimate the frictional pressure losses...
A Mechanistic Model for Predicting Frictional Pressure Losses for Newtonian Fluids in Concentric Annulus
SORGUN, MEHMET; Ozbayoglu, M. E. (Informa UK Limited, 2010-01-01)
A mathematical model is introduced estimating the frictional pressure losses of Newtonian fluids flowing through a concentric annulus. A computer code is developed for the proposed model. Also, extensive experiments with water have been conducted at Middle East Technical University, Petroleum and Natural Gas Engineering Department Flow Loop and recorded pressure drop within the test section for various flow rates. The performance of the proposed model is compared with computational fluid dynamics (CFD) soft...
Integrated nonlinear regression analysis of tracer and well test data
Akın, Serhat (Elsevier BV, 2003-08-01)
One frequent observation from conventional pressure transient test analysis is that field data match mathematical models derived for homogeneous systems. This observation suggests that pressure data as presently interpreted may not contain details concerning certain reservoir heterogeneities. On the other hand, tracer tests may be more sensitive to heterogeneous elements present in the reservoir because of the convective nature of the flow test. In this study, a possible improvement of conventional pressure...
Friction Factor Determination for Horizontal Two-Phase Flow Through Fully Eccentric Annuli
Metin, C. Omurlu; Ozbayoglu, M. E. (Informa UK Limited, 2009-01-01)
In this study, empirical friction factor correlations were developed for two-phase stratified-and intermittent-flow patterns through horizontal fully eccentric annuli. Two-phase flow hydraulics were investigated, and a flow pattern prediction model is proposed. The friction factor correlations were validated using experimental data collected at the multiphase flow loop METU-PETE-CTMFL. Two different geometrical configurations were used during experiments-that is, 0.1143 m inner diameter (ID) casing, 0.0571 ...
Well test model identification by artificial neural networks
Kök, Mustafa Verşan (Informa UK Limited, 2000-01-01)
The aim of this research is to investigate the performance of artificial neural networks computing technology, to identify preliminary well test interpretation model based on derivative plot. The approach is based on training the neural network simulator uses back-propagation as the learning algorithm for a predefined range of analytically generated well test response. The trained network is then requested to identify the well test identification model for test data, which is not used during training sessio...
Citation Formats
M. E. Ozbayoglu and C. Omurlu, “Modelling of two-phase flow through concentric annuli,” PETROLEUM SCIENCE AND TECHNOLOGY, pp. 1027–1040, 2007, Accessed: 00, 2020. [Online]. Available: