Intelligent management and control platform plugs in "smart wings" for Jianghan Oilfield

Anomaly management and control automation is an intuitive change after the oilfield has built a petroleum engineering intelligence platform
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Petroleum engineering operations have high safety risks, many hidden dangers, and the construction sites are scattered and remote, especially unconventional gas wells, which are mostly distributed in the mountains of Sichuan and Chongqing ravines, with inconvenient transportation and relatively blocked information.

In order to improve the management level of petroleum engineering, Jianghan Oilfield introduced the establishment of an intelligent management and control platform for petroleum engineering business.
With the construction operation process as the baseline, 15 petroleum engineering modules were deployed, covering pre-drilling, drilling, drilling fluids, cementing, logging, logging, Targeting and other 7 majors; through process reengineering, eliminate "blocking points", interconnect and open up "channels", solve the management problems of petroleum engineering business in terms of technology, safety, personnel, materials, etc.
, break through time and space constraints, and realize full business Control the whole process
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To build a smart management platform, information data is the foundation, and oil fields eliminate information islands through standardized data entry and integrated sharing
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More than 50 years of oilfield exploration and development, the historical data of oil and water wells is difficult to supplement and the workload is heavy.

At present, a total of 12 new source data collection modules have been added, 90 new data collection items have been added, 82 data synchronization programs have been developed, and 32 data synchronization strategies have been improved.
Currently, the information of nearly 10,000 wells can be queried online
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"It is equivalent to establishing a growth file for each well

The smart platform changes the situation where data is scattered and inconvenient to view in the past, allowing data to maximize its effectiveness
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Technicians compare the gas measurement parameters of different horizons, judge the differences in formations, and identify high-quality reservoirs; analyze the differences in the data of different well depths and adjacent wells, summarize successful experience, and gradually promote them, and gradually make the demonstration of each interval into a standard ; Comparative analysis of mechanical drilling speed, cycle, mid-to-finish operation cycle, master the law, realize "speak with data", abandon the extensive design mode of "rely on experience, rely on feeling", and help oil engineering speed up and improve efficiency

Thanks to the real-time update of data, "transparent" supervision of the entire construction process has been achieved
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After logging in to the platform, users can obtain real-time information on construction dynamics, technical parameters, on-site operations, production organization, safety management, etc.

　　Every day, employees of the Petroleum Engineering Supervision Department of the Technical Supervision Center sit in front of the computer and can know the drilling construction conditions hundreds of kilometers away.
“In the past, only on-site supervision could understand the situation.
Now, through curves and videos, you can supervise the on-site work in real time
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” According to the staff of the Engineering Supervision Department, once any failures such as stuck drilling or broken drilling tools occur at the construction site, the platform can be used to retrieve logging curves and engineering parameter records at any time to verify the occurrence, find out the cause of the failure, and promptly supervise and dispose of it, so as to prevent concealment of the failure.

　　Through the establishment of abnormal management and control, it promotes the transformation of management from looking for things to looking for people
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For the seven majors of drilling, drilling fluids, logging, and orientation, sort out and deploy eight types and 53 abnormal items including accident early warning, technical anomaly, and management anomaly, and set up early warning logical relationships

　　According to the changes in the construction process, the system automatically judges abnormalities, issues early warnings, and pushes them to relevant posts in grades and categories, avoiding the delay and uncertainty of finding abnormalities, and improving the efficiency of abnormal handling
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"In the abnormal management and control module, the platform can automatically identify early warning personnel with

　　(Xia Mei Yi contends for profit)