Papers by Sina Bairamzadeh
Flow rate prediction is of prime importance for effectively managing and maintaining well product... more Flow rate prediction is of prime importance for effectively managing and maintaining well productivity. Optimum flow rate prediction can prevent water/gas coning, sand entry, surface equipment problems and avoid formation damage due to imposing of excessive drawdown to reservoir. One of the most common wasy to achieve these goals is by controlling flow rate using wellhead chokes. The aim of this paper is to develop a new empirical Gilbert type correlation which is a function of flowing wellhead pressure, gas-liquid ratio and wellhead choke size. To achieve this, data from 1300 experimental production tests under multi-phase critical flow conditions from 120 Iranian offshore oil wells were used in a non-linear regression analysis. According to our results, predicted oil flow rates from new correlation are in excellent agreement with the observed data. Our results are also more accurate compared to those obtained from conventional methods. Furthermore, the accuracy of the proposed correlation was validated by cross plotting of synthetic and field data. The new correlation has an average relative deviation (ARD) of -0.18% and average absolute deviation (AAD) of 20.73%. The dataset covers a wide range of choke sizes (12/64 to 92/64 inches) and PVT parameters. Therefore, it is applicable in many Middle Eastern offshore oil wells mounted on satellite platforms where difficulties arise while performing productivity tests.
Uploads
Papers by Sina Bairamzadeh