The world industrial revolution has entered industry 4.0, where cyber-physical systems monitor physical processes over the internet of things (IoT) and cloud computing. SCADA is one of area where the industry 4.0 can be implemented, which could swift the way of work to monitor and control wells production from human dependent to real time data dependent. However, the implementation of SCADA technology is usually constrained by expensive cost. In the KS brownfield, ESP is the major artificial lift. Most of the ESP are controlled with variable speed drive (VSD) without being connected to online monitoring system. To check the ESP status and healthy pump condition, it requires extensive manpower for daily site visit. By using supervisory control and data acquisition, the ESP status and parameters can be transferred directly to the users. The GSM-cellular network in the KS field covers most the wells location. This network can be an option to optimize the initial cost impact in SCADA implementation. A single platform of SCADA with automatic notification and well modeling capability in web-based application is also prepared to provide clear analysis based on real-time ESP parameters and widely accessible. Simple GSM modem installed inside the VSD box to transfer critical parameters on real-time basis through the internet. During the implementation, some issues especially related to modem communication device aroused which significantly gave negative impact in this project. To handle these issues, more schematic communication and modem modification then implemented to withstand certain unexpected condition. Automatic machine notification and intelligent alarm are also create great benefit to increase operator response time. This paper will describe why this type of SCADA system is a fit to purpose solution for this typical brownfield with simple installation, relatively low cost, good communication performance and decent security.
SCADA optimization platform is implemented to monitor and evaluate well performance. For Sucker Rod Pump, SCADA Optimization Software can be used to monitor the unit balance and gearbox torque. In some ways, not all required well configuration data for SCADA Optimization Software to do a calculation of counterbalance torque (CBT) for pumping unit balance and gearbox torque evaluation are available. Standard field Counterbalance Effect (CBE) measurement might be performed to calculate the CBT value. However, this standard procedure is limited to well that run on balance condition. For well with unbalance condition, the measured CBE needs to be adjusted by a correction factor which the equation will be presented in this paper. The corrected CBE value from the new equation is then inputted to the SCADA Optimization software to perform day-to-day real-time monitoring of pumping unit balance and gearbox torque. Derivation of the CBE correction factor equation is presented. Validation upon this new equation is performed by comparing the result with electrical measurement on the pumping unit motor. Using the calculated CBT from the new equation, SCADA Optimization Software performs gearbox torque and pumping unit balance analysis based on every collected dynamometer card. Calculated CBT from the new equation provided results in gearbox torque distribution pattern that match with measured electrical parameter distribution along the stroke. This CBT value assists SCADA optimization software to calculate pumping unit balance and gearbox torque. Alarm in the SCADA optimization software that coming from an anomaly on pumping unit balance and gearbox torque help operator to do preventive maintenance so that pumping unit component especially the gearbox could have longer run life.
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