A Novel Oil-Water Separator Design Based on the Combination of Two Flow Resistance Mechanisms

Wang, Xiaoqiu (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum-Beijing) | Zeng, Quanshu (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum-Beijing) | Wang, Zhiming (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum-Beijing) | Guo, Xiao (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum-Beijing) | Zhao, Yanlong (State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum-Beijing)

OnePetro 

Abstract

Numerous oil wells, especially in their middle-late periods, are becoming less economic due to the high lifting costs and reduced recoveries. The downhole oil-water separation (DOWS) system is aimed to lower the production cost, reduce the environment impact, and enhance the oil recovery. However, current separators are of either poor separation effects or poor separation efficiencies.

In this paper, a novel oil-water separator design is proposed based on the combination of two different flow resistance mechanisms and pipe serial-parallel theory, with the restrictive path restricting the heavier water, while the frictional path impeding the more viscous oil. Based on the combination of the flow pattern transformation criterion, homogenous model, two-fluid model, and pipe serial-parallel theory, a unified model of oil-water two-phase flow is developed to predict both the flow rate and water content distributions in different paths, which is then compared with the computational fluid dynamics (CFD) results. Unlike the CFD results, each path has a specific flow rate and water content, and as a consequence, specific flow regime and flow pattern.

Both the CFD and model results show that the flow distributions in different paths of the separator will be adjusted automatically according to the fluid's property, while the model can also predict the water content distributions at the same time. And the average relative error for flow distribution is 17.71%, while that for water content distribution is 32.66%. Specifically, oil, being more viscous, mainly takes the restrictive path; while water, being heavier, tends to take the frictional path instead. To sum up, this autonomous function directs oil and water to different paths, hence oil and water is well separated.