Key Technology and Application of Smart Oilfield Construction for Shale Oil
In response to the challenges of high labor intensity, large-scale development costs, stringent safety and environmental requirements, and significant governance difficulties in shale oil development, there is an urgent need to advance the scaled and cost-effective development of shale oil through intelligent construction. To address this, a series of cutting-edge technologies such as Internet of Things (IoT), Artificial Intelligence (AI), Edge Computing, Big Data, etc., are adopted, supplemented by intelligent Remote Terminal Units (RTUs), water content analyzers, and dynamic oil level monitors. Closed-loop interlock control is used at the oil station, such as automatic switching of emergency processes and automatic smooth delivery of crude oil. These measures aim to provide reliable data support for process control, operational monitoring, condition diagnosis, production warning systems, and management decision-making. Furthermore, based on an industrial IoT architecture approach we have developed a comprehensive shale oil IoT cloud platform that encompasses 12 major functional modules covering geology, processing operations,and collection & transportation. This integrated platform facilitates deep integration between digitalization and business processes while delivering synergistic benefits.
New Industry And Energy
Technologies to improve natural resource extraction
The total implementation period of this project is two years.
Qingyang, Gansu Province, China
Based on the industrial Internet system architecture, a shale oil Internet of Things cloud platform was designed and developed, which breaks through the limitations of traditional oilfield management and realizes the functions of data source collection, closed-loop control, and production early warning prediction. The platform builds a full business linkage and closed-loop oil and gas production management system, effectively solves the contradiction between the small number of field operation personnel and the surge of workload under the two-tier organizational structure, greatly improves the efficiency and safety of oilfield development, and promotes the deep integration of intelligent transformation and production management.
A total of 19 academic papers have been published, of which 1 has been published in EI and 18 in Chinese journals. For the full version, please refer to "Intellectual Property Rights and Other Supporting Documents for Evaluation". 1.Big data driven U-Net based electrical capacitance image reconstruction algorithm. 2019 IEEE International Conference on Imaging Systems and Techniques (IST). 2.Exploration of Operation and Management Practices of Low-Permeability Oilfield Center Station--Taking Changqing Oilfield as an Example. China Management Informatization (08, 2022).
In the process of technical research, 2 invention patents have been authorized, 3 invention patents have been accepted, 2 utility models have been authorized, and 10 software copyrights have been authorized. For detailed information, please refer to "Intellectual Property Rights and Other Supporting Documents for Evaluation".
