Sensor network based oil well health monitoring and intelligent control


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Sensor network based oil well health monitoring and intelligent control

  1. 1. SENSOR NETWORK BASED OIL WELL HEALTH MONITORING AND INTELLIGENT CONTROL Abstract: In the last few years, sensor networks have drawn much attention for their broad practical applications investigate specific sensors and sensor networks for aircraft structural health and performance monitoring. A real-time radiological area monitoring sensor network is developed for emergency response. An intelligent sensor network is designed for fire detection. Standards propose various algorithms and structures for sensor networks. Certain systems use sensor networks to monitor cultural assets and aquatic environments, respectively. Thus many sensor based networks are designed for various applications which have proven efficient. Here in this paper a sensor network based intelligent system is proposed for oil well monitoring. Existing system: Most oil pumping units (OPUs) have been using manual control in the oilfield. This existing oil-pumping system, a high power-consuming process, has the incapability of OPU’s structural health monitoring. The disadvantages of existing system is: 1. The OPU administrators have to frequently go to the oilfield to check the OPU status and collect its health analysis data, 2. Power consumption for OPU is huge during the oil-pumping process, 3. Since an administrator has to take charge of a number of oil wells, an OPU malfunction is difficult to locate and repair in a reasonable time, which causes an oil production drop. Proposed system: In the proposed system, a wireless sensor network is established using Zigbee. The oil well parameters such as temperature, pressure, voltage, current and torque are measured. The measured value is transmitted to the Intermediate section (IS). In the intermediate section the measured values are analyzed and compared with the manually set values. The values are set
  2. 2. manually through PC. Once set, the received values are compared. If any abnormality is found, immediately a short message regarding the status abnormality is sent to the control center. In the control center the information about the oil wells is maintained in a database. Block Diagram: Well Section: Induction Motor Power Supply Driver Circuit PIC LCD 16F877A Current Sensor Micro Speed Sensor Controller Voltage Sensor Intermediate Section: Zigbee
  3. 3. PC Power Supply UART 1 ARM 7 LPC2129 LCD UART 0 Micro Controller Control Section: Power Supply GSM MAX 232 Hardware requirements:  PIC16F877A Microcontroller with Power Supply  ARM7 LPC2129 Microcontroller  GSM Modem  Max 232  Induction Motor  Relay Driver  Current sensor  Voltage sensor Zigbee GSM
  4. 4.  Speed Sensor  Zigbee  LCD  PC with .net Software requirements     Embedded c MPLab Compiler or CCS Compiler Keil C Compiler VB .NET Advantages  Reduced Power Consumption.  Timely Repairing Measures.