Third, intelligent application scenarios require continuous funding investment challenges brought about by continuous iterative development. Artificial intelligence technology and the basic theory and technical principle research of intelligent oil and gas field construction are not deep enough, the technology and methods are not mature enough, and there is no complete model for reference at home and abroad. Artificial intelligence scenarios and intelligent oil and gas field construction process, there are different degrees of data acquisition, data transmission, data storage, data processing, data management and data use of six links are missing, some oil fields only acquisition or video equipment, data and image analysis technology can not keep up, etc. Lead to different degrees of "build more, use less" or "only build no matter, only build no use" phenomenon.
Therefore, the artificial intelligence application scenarios and intelligent oil and gas fields currently built are still relatively preliminary. The emergence of these phenomena has also affected the process of digital intelligent transformation to a certain extent. The construction of artificial intelligence technology scenarios and intelligent oil and gas fields is not like the construction of buildings, and the completion acceptance can be ended, it needs to continue to invest in upgrading funds according to technological progress and innovative development, and constantly adapt to changing business needs and user experience. Artificial intelligence application scenarios and intelligent oil field construction, research planning and deployment should be comprehensive, but as far as artificial intelligence scenarios and intelligent oil and gas field construction strategies are concerned, there needs to be a focus, point, line and surface breakthrough step by step, and finally fully realize intelligence.
Fourth, high-end artificial intelligence technologies and products are subject to foreign restrictions. Artificial intelligence technology development and application scenarios landing, intelligent oil and gas field construction of high-performance intelligent sensors, cloud servers, cloud computing software and more than 50% of the technology and products from Europe and the United States. However, in recent years, the introduction of high-end technology is difficult, to the oil and gas industry artificial intelligence and intelligent oil and gas field construction has brought challenges, in recent years, although the domestic catch-up research and development of high-end artificial intelligence technology, but a few products compared with Europe and the United States there is still a gap. State-owned oil and gas enterprises need to solve the dilemma of key core technologies in a short period of time.
Fifth, the challenge of talent shortage. Artificial intelligence technology and application and the construction of intelligent oil and gas fields not only need a group of technical personnel who understand data science, network operation technicians, senior program personnel, but also need compound talents who understand both oil and gas business and artificial intelligence. Under the current situation, comprehensive universities need to set up artificial intelligence-related majors, and enterprises need to set up corresponding positions and title sequences; The landing of artificial intelligence scenarios can use social research and development forces such as universities, high-tech companies, labeling companies, and software companies to form joint research teams to solve the shortage of talents in the transformation of digital artificial intelligence.
Suggestions for the development of artificial intelligence in the oil and gas industry
First, the establishment of artificial intelligence key laboratory to accelerate the development and incubation of high-end technology products.
Build a key artificial intelligence laboratory, carry out data intelligence experiments, intelligent computing and intelligent platform research and development of the whole business chain of exploration and development, organically integrate cloud computing, big data, Internet of things, mobile Internet, artificial intelligence and blockchain technologies with the main business, and realize the transformation and upgrading of the traditional oil and gas industry. Co-construction and sharing, business collaboration, network interconnection, data interoperability, intelligent decision-making, ecological reengineering. With the construction of artificial intelligence key laboratories as the starting point, open up the full business chain of exploration and development engineering data, create a hybrid cloud platform, accelerate the research and development and incubation of high-end artificial intelligence products, help improve exploration and development efforts, and fight the offensive war of exploration and development.
Second, the cross-integration of artificial intelligence technology and business improves the current scientific and technological support and leads the future.
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