A Simplified Mechanistic Model for an Oil/Water Horizontal Pipe Separator
A new methodology for oil/water horizontal pipe separator (HPS) design and performance prediction is developed. The separator diameter is determined on the basis of oil/water flow-pattern prediction. A batch separator model is adopted and modified for pipe flow to predict the separator length for achieving a desired separation quality. An experimental program is carried out to validate the proposed model.
For oil/water mixtures in horizontal pipes, the occurring flow patterns can be classified as dispersed and segregated. For the segregated flow pattern, the phases can be separated by gravity because of the lower velocities of the phases. This phenomenon allows the use of a simple horizontal pipe as an oil/water separator, namely the horizontal pipe separator (HPS). The HPS can be used as an attractive alternative to conventional separation systems.
The incoming mixture consists of one defined continuous phase and one defined disperse phase. The total volume of drops entering the separator is equal to the incoming dispersed-phase flow. A schematic of the oil/water separation process for water-continuous flow in a HPS is presented in Fig. 1. For this case, the oil enters into the separator as dispersed phase. The turbulence occurring at the entrance of the separator keeps the oil droplets dispersed in the pipe cross-sectional area, delaying the formation of the oil and/or the dense-packed layers at the upper part of the pipe. The dense-packed layer is characterized by oil droplets separated only by a thin water/liquid film. Below this layer, droplets are sparse, moving upward because of gravity, forming the sedimentation layer. Finally, the free water layer occurs at the bottom of the pipe. Both the oil and the water layers increase in height as the flow moves downstream. The HPS is proposed to operate only in laminar flow; turbulent flow hinders separation, because turbulent fluctuations promote mixing of the phases, resulting in a lower separation efficiency.
Production Monitoring Gets Smarter With Virtual Meters
Virtual metering technology has been in use for years as a cost-effective means of monitoring production, but what else can it do? How reliable is it as a backup to physical multiphase meters?
Neural Networks Plus CFD Speed Up Simulation of Fluid Flow
High-fidelity 3D engineering simulations are valuable in making decisions, but they can be cost-prohibitive and require significant amounts of time to execute. The integration of deep-learning neural networks with computational fluid dynamics may help accelerate the simulation process.
Smart-Fluid-Processing System Reduces Footprint, Improves Separation Efficiency
Reducing a separation system’s footprint while increasing separation efficiency is demonstrated in an Oklahoma field trial.
Don't miss out on the latest technology delivered to your email every two weeks. Sign up for the OGF newsletter. If you are not logged in, you will receive a confirmation email that you will need to click on to confirm you want to receive the newsletter.
15 May 2019
15 May 2019
14 May 2019