Author/Authors :
Azin، Reza نويسنده , , Chahshoori، Robab نويسنده Department of Petroleum Engineering, Faculty of Petroleum,Gas and Petrochemical Engineering, Persian Gulf University, Bushehr, Iran , , Osfouri، Shahriar نويسنده Department of Chemical Engineering, Faculty of Petroleum, Gas and Petrochemical Engineering, Persian Gulf University, Bushehr, Iran , , Lak، Ahmad نويسنده Department of Chemical Engineering, Faculty of Petroleum, Gas and Petrochemical Engineering, Persian Gulf University, Bushehr, Iran , , Heidari Sureshjani، Mohammad Hossein نويسنده IOR Research Institute, Tehran, Iran , , Gerami، Shahab نويسنده IOR Research Institute, Tehran, Iran ,
Abstract :
Understanding the flow behaviour in a gas well is crucial for future production strategies, obtaining bottomhole conditions from wellhead production data, analyzing production data and estimating reservoir properties. In this work, the pressure profile and flow regime are studied on four wells of a multi-well, multi-layer gas-condensate reservoir, producing at high rate. The wells are deviated and cased-holes, with the gas flowing through tubing to the wellhead. Here, a comprehensive quality assessment of data is presented. An algorithm is proposed to model wellhead chokes and determine production rates of individual wells from overall, commingled daily flow rates. The pressure profile and flow regime were determined in each well through back-calculation and nodal analysis. The bottomhole pressure is predicted. The best correlations are selected by comparing the model results with reported production logging tool (PLT) data. The rates of produced condensate and water (equivalent to gas) and their PVT properties, e.g. API of condensate, had little impact on choke calculations, which is due to high flow rate gas. The flow is shown to be gas-like at the bottom, which turns to mist flow near the wellhead. Liquid holdup is subject to the wellhead pressure and well flow rate. It decreases with an increase in wellhead pressure and gas flow rate. The findings here can be extended to other wells in the same reservoir, which can introduce guidelines for gas-condensate well modeling.