According to China Petroleum News, data twinning will be realized in all fields of the oil and gas industry, and smart drilling, smart completions, smart oil fields, smart pipelines and smart refineries will be fully completed, and the development of the oil and gas industry will fully enter the era of intelligence. Human-machine has a very good interaction, the oil and gas industry chain can be self-perceived, perceptible, and self-healing functions, and real-time visualization of all links in the upstream and downstream oil and gas industry chain is realized at multiple levels. Not only can you intuitively see the flow of oil, gas and water in the oil reservoir and pipeline, but you can also hear the sound of the flow, visually observe the underground production situation, and accurately predict the future.

AI Digital Oilfield trend 1: Applied in the field of oil and gas exploration to reduce the cost of accurate oil search.

In the field of oil and gas exploration, AI research mainly includes: seismic attribute analysis, lithofacies identification, seismic inversion, fault identification, logging interpretation, intelligent evaluation of exploration targets, comprehensive evaluation of exploration targets, and intelligent optimization of exploration plans. It not only reduces the inaccuracy of manual processing of a large number of seismic data of addresses, but also successfully interprets structures, faults, and sequences. It can also be used for seismic pre-stack and post-stack data analysis, logging data and other multi-dimensional data processing and analysis to obtain direct prediction of oil and gas. 3D volume data.

AI Digital Oilfield trend 2: digital twin technology, moving towards the integration of address engineering and production Digital twin

is the mirror image of the real world in the virtual world. In the oil and gas industry, digital twins enable owners and operators to gather real-time data from multiple sensors on operating equipment, providing a real-time understanding of the exact operating status and conditions. Carry out big data modeling for oil and gas operation scenarios, determine the homomorphic operation and mutual perception of virtual equipment and real environment equipment, and realize the optimization and operation of system complementarity.

Combined with the application of AI, IoT, VR, AR, XR and 5G technologies, digital twins make it possible for the oil and gas industry to optimize online real-time asset integration from surface to reservoir. Digital twin is mainly used for drilling, oil and gas reservoir point identification, oil and gas reservoir description and simulation, production optimization, oil production downhole meter surface fault diagnosis, surface resource allocation meter risk warning and other links.

AI Digital Oilfield trend 3: application of intelligent production, operation, maintenance and control to accelerate the oil and gas industry chain into the era of automation 

Industrial Internet, Internet of Things, blockchain, wearable devices, drones, robots, and end-to-end edge computers are equal to AI Related technologies are widely used in geophysical exploration, well logging, drilling and completion, oil production and oil and gas field surface engineering. Equipment in various fields of the oil and gas industry is moving towards intelligent information collection, processing, interpretation, optimization and decision-making. At present, the intelligent three-dimensional design of oil and gas field ground systems and the big data intelligent management and control platform for digital delivery have been widely established, and robots have been introduced to replace humans for inspection operations and operations at well sites.

AI digital oilfield trend 4: AI oil and gas industry platform construction AI oil and

gas industry platform saves time and cost loss caused by linking links, and promotes collaborative innovation. Input teams, systems, software, old and new data into the platform, maximize the effect of collaboration through integration, standardize, unify and integrate the business of technicians in exploration, development, drilling and other fields. Decoupling data from applications eliminates data silos and data silos, making seismic, reservoir, oil well and other data streams clearly available.

AI Digital Oilfield trend 5: applied to oilfield safety monitoring

Inflammable and explosive crude oil, natural gas and chemical raw materials exist in upstream and downstream production and operations of the oil and gas industry. The on-site mechanical equipment shall not only prevent combustion and explosion, but also prevent people against safe production or abnormal entry.

According to China Petroleum News, data twinning will be realized in all fields of the oil and gas industry, and smart addresses, smart drilling, smart completions, smart oil fields, smart pipelines and smart refineries will be fully completed, and the development of the oil and gas industry will fully enter the era of intelligence. Human-machine has a very good interaction, the oil and gas industry chain can be self-perceived, perceptible, and self-healing functions, and real-time visualization of all links in the upstream and downstream oil and gas industry chain is realized at multiple levels. Not only can you intuitively see the flow of oil, gas and water in the oil reservoir and pipeline, but you can also hear the sound of the flow, visually observe the underground production situation, and accurately predict the future.

Changsha Taihe Electronic Equipment Co., Ltd. focuses on the research and development of sensor perception technology, sensor production and sales in the oil and gas field energy industry.

Oilfield sensor selection consultation:

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