Smart Oilfield

business background

1. Ideas and concepts are not very important to the production of informatization. They have not converted information into productive forces and have not fully tapped the potential value of information to achieve a significant increase in economic efficiency.
2. At present, information transmission is not yet fully automated. There are still methods of using reports and telephones. As a result, information collection, transmission, and feedback are slow and inefficient, which directly affects the normal functioning of enterprise productivity and management functions.
3. Information processing is mainly handled by humans. It has a large workload, long cycle, and poor timeliness. It cannot adapt to the needs of management work at all levels. Leaders cannot timely and accurately grasp report generation, inventory status, capital status, and analysis of various economic activities. .
4. Due to the large amount of information and various reports, it is difficult to gather information and search for historical data. As a result, most databases cannot play its role in economic analysis of production indicators. Information can not be added, so that the leadership can not be qualitative and quantitative analysis in terms of prediction, decision-making, often only use traditional experience to manage.
In order to transform China’s oilfield construction into a “digital oilfield,” it is necessary to increase the degree of automation at the production site. With the increase in on-site automation in the last decade, the degree of on-site automation is getting higher and higher, and it has been set aside for digital oilfields. Good data foundation. However, only data is far from enough. It is necessary to pool the data of oil fields scattered throughout the region and provide it to experts and leaders in order to tap the potential value of information and convert on-site production information into productivity. Therefore, building a production data transmission network that is economical, efficient, stable, and low-maintenance becomes imminent. It is a solid foundation for “digital oil fields”. The current status of oilfields in data acquisition and transmission networks is as follows:
1. Geographical decentralization, complex network environments for various sites, and various transmission methods such as wireline (such as DDN, ADSL, ISDN, and self-built optical fiber cables) and wireless (such as radio, GSM, GPRS/CDMA, etc.).
2. There are many field device communication interfaces and the standards are not uniform. There are many data transmission protocol interfaces and the standards are not uniform.
3. The transmission of data to higher-level units has high implementation costs and higher maintenance costs.
4. Management monitoring of data collection and transmission equipment across the enterprise is almost impossible to achieve.

Project introduction

In combination with the characteristics of oilfield companies, the digital oilfield data transmission network hierarchy is as follows:





From the above figure, the production data of the oil field is widely distributed and is a multi-level aggregate structure, and the communication links between different levels are different. Production data is a process of aggregation from a few to many. The communication link is a process from simple to simple. The link quality is a process from instability to stability.

system structure