Production optimization using surface network modeling (Case study: Hamra oil field - Sudan)

Abstract

Most of the Sudanese fields face the challenges of maintaining production rates, which are decreasing at a large rate annually. This project aims to find a solution that helps to improve the production rates in Hamra Field by identifying the possible causes and factors influencing them using the developed model to maintain long production stability. The main design of wells and jointing them with a specific network play an effective role in especially in primary recovery stage of oil production. Otherwise in next stages of recovery attention is more focused on more issues such as insurance of no constrains in the production system as well as de-bottlenecking and back pressure, pressure and temperature distribution, flowing liquid viscosity analysis, error in wellhead pressure, Adding generic transfer pump, analysis of high water cut issue and mainly observe production status to take the right decision in it proper time, these all preventing from the production stability inhibition with time. The main aim of study is design a Network model to analyze field data and to find ideal conditions and optimal production that can be achieved under current operational conditions and available equipment and thus help to make a proper decision and future planning for field development.