With many years of experience in oilfield simulator and virtual simulation training digital services, Simulator Simulation Training has cooperated with Daqing Downhole, Daqing Drilling, Changqing Cementing, Western Drilling, Bohai Drilling, and many other companies and has constructed more than ten simulator simulation training projects, such as cementing simulators, fracturing sand blending simulators, pressure banding simulators, and continuous pipeline simulators.
Our simulator simulation training products are designed to provide a comprehensive understanding of the complexities and influencing factors in well-site operations. By enhancing the efficiency and safety of on-site operations, these products serve as valuable training tools, helping operators master various operation processes and equipment use.
Integrating 3D animation, digital twins, and other cutting-edge technologies, it simulates the digital process of an oil extraction plant. It covers the whole process of cognition, practical training, teaching, assessment, and control. Realize training visualization, automation, and digitalization.
Our training center offers a range of services that are designed to benefit oilfield enterprises. By integrating virtual simulation, VR/AR, and other technologies, we provide a deep connection with oil and gas production skills training. Our integrated customized services, from space design to software development, help oilfield enterprises build a digital intelligent training system and strengthen the training of first-line skills at the well site.
Downhole digitization relies on digital twin technology, collects dynamic information of surface equipment and process data, and combines it with static parameters such as drilling engineering data, drilling recording data, and drilling foundation data. Constructs downhole situations and uses cloud rendering technology to realize visualization of downhole situations.
The introduction of IoT technology realizes the real-time collection and transmission of information on the operating status of equipment, environmental parameters, energy consumption and other information. Big data technology then stores, analyzes and mines these data to discover potential problems. Artificial intelligence technology, with its advanced machine learning and deep learning capabilities, learns and predicts equipment operation rules and failure modes, providing powerful support for decision-making and enabling predictive maintenance.
By displaying information on production, safety, environmental conditions, and energy consumption control of oil and gas stations in a three-dimensional graphical format, managers can have a more intuitive and comprehensive understanding of the stations' operation. This makes it easier to identify problems and take appropriate measures in a timely manner.
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