A monitoring method for well site equipment

Abstract

The invention discloses a monitoring method for well site equipment, comprising the following steps: a. collecting data by using a data collector, encapsulating the collected data, and then delivering the encapsulated data to an analysis module; b. analyzing the received data by the analysis module. Convert the encapsulated data of the well site, and transmit the converted data to the industrial computer and the integrated server respectively; c. The industrial computer analyzes the received data, obtains the parameter information and alarm information of the well site equipment, and uses the parameter information and alarm information The information is stored in the database, and then displayed on the man-machine interface; the integrated server analyzes the received data, obtains the parameter information and alarm information of the well site equipment, and then stores the obtained parameter information and alarm information in the database, and provides On-site personnel check or call. The invention can centrally monitor the well site equipment, and through the monitoring and management of the important data of the well site equipment, achieve the purpose of stable operation of the well site equipment and reduce the accident rate.

Description

technical field [0001] The invention relates to the field of drilling, in particular to a method for monitoring well site equipment. Background technique [0002] In the field of natural gas drilling, many wellsite equipment are involved, such as diesel generator sets, mud pumps, mud treatment systems, generator sets, air compressor units and top drives, etc. Especially with the progress of society and the development of drilling technology, wellsite Equipment is constantly being upgraded, and its types are increasing. During the drilling process, in order to ensure the normal operation of wellsite equipment such as diesel generator sets, mud pumps, mud treatment systems, generator sets, air compressor units and top drives, the operation and maintenance of wellsite equipment need to be monitored. However, at present, the monitoring of wellsite equipment is managed by traditional personnel on duty and regular patrol inspection, which is inefficient and ineffective, which is ...

AI Technical Summary

Problems solved by technology

However, at present, the monitoring of well site equipment is managed by traditional personnel on duty and regular inspection, which has low efficiency and poor effect, which is manifested in the following five aspects: 1. Real-time monitoring of full-time status cannot be realized

2. A large number of inspection personnel are required, and the utilization rate of human resources is low

3. Lack of alarm and emergency treatment measures after equipment failure, which may easily lead to equipment and personal accidents

4. The staff are in a harsh environment with high noise for a long time

5. The operating report relies on manual filling, which lacks continuity and a large workload

[0005] However, the existing technology represented by the above-mentioned patent documents still has the following defects in the actual use process: 1. There are many types of well site equipment to be monitored, such as diesel generator sets, mud pumps, mud treatment systems, engine units, Air compressor unit and top drive, etc., but this system is mainly used to monitor mobile air compressors or superchargers, and its monitoring range is relatively narrow, which cannot provide guarantee for the normal operation of well site equipment

2. The system mainly uses ZIGBEE wireless network to transmit data, but ZIGBEE wireless network has the disadvantages of slow transmission speed and short transmission distance

3. The upper computer in this system is set at the well site and cannot be used for remote monitoring

4. The system pays more attention to the monitoring of equipment operation data, and does not collect and present the alarm information generated by the equipment. This is a major lack of equipment monitoring, and it cannot better understand the equipment operation status, which is not conducive to equipment maintenance.

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