Abstract
Sensors provide engineers with the necessary data for their day-to-day activities and assure smooth operation, monitoring wells and equipments in a field. Almost every new well drilled has a number of sensor during the drilling and completion. Sensors are an integral and vital part of the digital oilfield and the real time monitoring, and control. These are all simple requirements for the intelligent filed in order to better understand the well performance and ensure safe and efficient operation. They are most beneficial in remote areas where HSE is of a major concern. They optimize the placement of new drillings and work over sidetracks through making it possible foreseeing change in real-time, supporting the initiation of a remedial action in case of anomalies occurrences. Overall, their existence in any reservoirs optimizes the ultimate oil recovery.
This paper will discuss the general history of sensing along with their oil industry record. We will focus on the established methods of-well-sensing, as well as the current issues, capabilities, requirements, and visualization. Data mining and integration of sensor data using soft computing technologies is of paramount importance. The paper will address their various functions, signal type, robustness, technical background and the purpose of placement. It will also discuss communication infrastructure, networking, and reliability challenges. The focus will be on In addition, we will provide an in-depth investigation of various types of sensors and their functionality, advantages and drawbacks. We will also illustrate desired smart network embedded system/module and wireless systems. We will conclude with examples of oilfield applications, lessons learned and future trends.
