Reduce Cycle Time by Accelerate POP Well Pounding after MPU Job Completed using JDE Database Excelbased Monitoring

Abstract

Sucker rod pump is an artificial lift method that is often used to lift heavy oil, where the lifting process from the well to the surface is using rod pump. In sucker rod pump operation, there are several pump problems that can interfere with the pump performance, one of them is fluid pounding. Fluid pounding occurs when there is not enough fluid to fill the pump barrel. When there is fluid pounding, the load borne by the SRP rod will decrease drastically because the pump capacity used exceeds the amount of fluid flowing from the reservoir to the well. Usually for safety reasons the field operator will turn off the well until the problem is resolved, turning off the well will cause an increase in oil loss. Therefore, cycle time to overcome the problem is critical. This paper proposes cycle time improvement through JDE Database Excel-based Monitoring. The improvement will ensure well will be immediately re-POP so as to reduce LPO.

To identify the presence of fluid pounding, it can be seen from the shape of the dyno card that indicating a lump (load up/down) during the down stroke and there is a large pressure difference between the upstroke and down stroke (> +/- 25%). Usually, the operation team will do a daily check and when the pumping unit of a well is found vibrated, it will be declared as suspect  pounding. One way to overcome the problem of fluid pounding is to reduce the stroke per minute or stroke length. When fluid pounding occurs, an exception signal will pop to engineer’s dashboard to do review the dyno card and release stroke length adjustment program. it has been identified that the delay time to put well back on production after program execution is due to lack of monitoring when the work is completed. The improvement is fully utilizing digital surveillance and information by  combining exception-based signal (online dashboard) with excel based tool that connects with enterprise resource planning database system. Once the ticket is completed, the information will pop and flag the monitoring tool for follow up or reminder to put well back on production. The improvement results show that put on production cycle time data have increased from 58 hours in the 1^st to 4^thmonth period to 6.4 hours. Utilizing digital surveillance and operation information to improve well down cycle time by combining exception-based signal (online dashboard) with excel based tool that connects with enterprise resource planning database system.