Daqing Oilfield has developed its own "digital brain" application, which has enabled the operation of over ten thousand oil wells.
As of January 19th, the electric parameter digitization technology for pumping well motors independently developed by Daqing Oilfield has been applied to over 10,000 wells over the past three years. This technology has effectively addressed the issue of high labor intensity in on-site manual oil measurement tests, with the accuracy rate of condition diagnosis reaching 96.1%. It has provided strong support for the digital and intelligent transformation of mechanical production wells.
After six years of independent research and development, Daqing Oilfield has innovatively formed an electric parameter digitization technology for pumping units centered on "electric parameter inversion power diagram, condition diagnosis, digital measurement and intelligent control". It has established a full-service digital and intelligent application chain of "comprehensive perception - remote transmission storage - analysis and calculation - application decision-making". The intellectual property rights are completely self-owned, successfully promoting the transformation of well management from relying on manual operations to intelligent management.
This technology pioneered the "computational" production profile technology for pumping units, innovated high-precision production profile measurement and working condition diagnosis technologies, independently developed the background software for analyzing the working conditions of pumping units, and achieved intelligent and precise analysis of oil well data, dynamic and precise regulation of parameters, and lean management of the process in a closed loop. "We have broken through the barriers of traditional data collection methods. Not only is the accuracy of working condition diagnosis high, but the accuracy rates of production measurement and liquid level measurement have also been improved, which can significantly reduce the workload of manual inspection and oil measurement tests," said Sun Chunlong, a first-level engineer of the Upstream Technology Research Room of the Oil Production Technology Research Institute of Daqing Oilfield.
Facing the massive amount of data collected through digitalization, the R&D team ingeniously adopted the "weaving approach", simultaneously advancing the on-site front-end efforts and the back-end software optimization. They worked closely together for several consecutive months, conducting data tests, algorithm validations, and software and hardware program debugging on the front line. They shortened the original algorithm optimization cycle of 3 months to 45 days, effectively facilitating the leap from simulation experiments to the application in the demonstration area of the technology. Since the application of the technology, three digitalization demonstration areas for electrical parameters have been established. By building a standardized system covering data collection, transmission, and platform connection, they finalized two mature electrical parameter models for new well construction and old well renovation, leading the new trend of digitalization in mechanical extraction.
At present, the digital technology for extracting the electrical parameters of pumping wells has applied for 21 invention patents, obtained 6 invention patents, registered 2 software copyrights, and won the second prize of the Third Innovation Competition of China Petroleum, the top prize of the Technological Progress Award of the Oilfield Company, and the patent gold award. "The large-scale application of this technology for thousands of pumping wells indicates that the digitalization of electrical parameters of pumping wells has become increasingly mature. The 'digital brain' will effectively contribute to the digital and intelligent transformation of the oilfield," said Wang Xin, the director of the Oil Production Engineering Department of the Development Department of Daqing Oilfield.
