Liu He, academician of the Chinese Academy of Engineering, said that from oil and gas exploration and production to supply chain management, the development of digital intelligence has given birth to a series of innovative achievements, constantly bringing more efficient, sustainable and safe production and operation methods to the industry.
Digitalization, artificial intelligence and other technologies are profoundly changing the face of the oil and gas industry, especially in improving the efficiency of oil and gas exploration and development, reducing operating and production costs, ensuring safe production, and reducing environmental risks. Liu He, academician of the Chinese Academy of Engineering, said that from oil and gas exploration and production to supply chain management, the development of digital intelligence has given birth to a series of innovative achievements, constantly bringing more efficient, sustainable and safe production and operation methods to the industry.
The most striking result is the reduction of staff and the increase of efficiency
At present, the global oil and gas exploration and development objects are changing from conventional oil and gas fields to unconventional oil and gas fields, from shallow and shallow water oil and gas fields to deep deepwater oil and gas fields, and the difficulty of exploration and development is increasing, and the cost is getting higher and higher. In Liu He's view, factors such as the deterioration of internal resource quality and external competition have forced the oil and gas industry to develop artificial intelligence. Digital and intelligent development has become an important way to improve the quality and efficiency of the oil and gas industry, helping the green, low-carbon, and energy transformation. "Digital and intelligent development is an inevitable choice for the high-quality development of the oil and gas industry, as well as an inevitable choice for cultivating new quality productivity, and it is also an important driving force for future 'super projects' such as increasing reserves and production and realizing deep and deep sea." For example, intelligent interpretation and analysis technology, big data analysis technology, and multi-discipline data integration analysis technology can increase the efficiency and accuracy of geological prediction and analysis of oil and gas reservoirs. Intelligent equipment, remote control, and the development of oil and gas exploration and development to unmanned and less manpower on-site operations have reduced operating costs and safety risks. Liu He said that the development of digital intelligence runs through the entire industrial chain of exploration, development, production, storage and transportation, and refining, and is applied from operation areas, oil and gas production plants to oil and gas field companies, covering the information support system of the whole business chain of exploration and development, and has achieved important results in quantitative decision-making, reducing costs and increasing efficiency, increasing reserves and production, improving efficiency, and transforming the production organization model. Liu He pointed out that one of the most outstanding achievements in the development of digital intelligence in the oil and gas industry is to reduce staff and increase efficiency. "Nowadays, the number of wells in oil and gas enterprises is increasing, and the difficulty of exploitation and the amount of work are increasing simultaneously. With the help of digital intelligence, the industry has achieved the completion of tasks with quality and quantity without increasing or even reducing employees. In addition, to help achieve the 'dual carbon' goal, digital intelligence has achieved accurate prediction of energy consumption and emissions in the whole production chain of energy enterprises, and the ability to quickly perceive, judge, make decisions and control has been continuously enhanced, and the energy consumption indicators of oil and gas enterprises have been declining. ”
Still starting on the climb
Digital transformation and intelligent development are bringing new changes to the oil and gas industry. Liu He introduced that the "Three Barrels of Oil" has done a good foundation in digital transformation, and has gradually moved towards a new stage of intelligent development through data sharing, business collaboration and intelligent construction. However, the objective reality determines that the implementation of artificial intelligence and other technologies in the oil and gas field requires long-term exploration and research. "The application of artificial intelligence technology in the fields of the Internet and finance has evolved to the mature stage of efficiency and industrial production. The oil and gas industry needs to integrate professional domain knowledge, and the business scenarios are complex, facing the current situation of high data acquisition costs and data quality to be improved, and it is not yet data-driven. The upstream oil and gas field at home and abroad is still in the initial stage of exploration of the integration and empowerment of digital and artificial intelligence technologies with typical application scenarios. Liu He pointed out the challenges faced by the digital and intelligent transformation of the oil and gas field. On the one hand, most of the data in the oil and gas industry comes from underground, and there are certain problems in the automation and management of data collection equipment, such as inconsistent data standards, missing samples, and difficult to ensure data quality. Liu He said. On the other hand, unlike Internet data, most oil and gas geological data are expensive to obtain, and most of them are 'small samples', and the amount of data cannot meet the requirements of deep learning, and it is difficult to obtain 'teaching materials' for machine learning. If the training data sample is not large enough and not reliable enough, the training is meaningless. Liu He further said. Liu He said that at present, there are still high costs of digital and intelligent products, high costs for the training of compound talents, and low input-output ratios in the short term. In the future, the digital and intelligent development of the oil and gas industry will not only require a good collaborative development ecology, but also inseparable from the cooperation of effective management systems and policy support.
The application prospect is broad
At present, it has become the consensus of oil and gas companies to join forces with IT companies to accelerate the layout of digitalization and use big data and artificial intelligence to empower the oil and gas industry. "Although there are many challenges in the development of digital intelligence, oil and gas companies have built an integrated platform. Since 2019, relevant departments have issued a series of signals to increase the integration of the digital economy and the real economy, and encourage traditional enterprises to carry out digital transformation. In the future, smart oil and gas fields, smart pipelines, smart refineries, smart gas stations and other applications have broad prospects. Liu He said. Liu He suggested that in the future, it is necessary to establish a data quality management framework, combine business, technology and methods, establish a credible, transparent and traceable data exchange and business collaboration system, and strengthen data governance. Secondly, the oil and gas industry has high barriers to professional knowledge, and there is an urgent need for compound talents, so it is particularly important to strengthen talent training. "Similar to the development trend of artificial intelligence, which is the integration of AI technology and expert experience, it is necessary to build a model driven by both knowledge and data." Liu He pointed out. Thirdly, with society, universities, and enterprises as the core industry entities, we will actively build a smart energy cooperation ecosystem, including a new AI ecology integrating computing power, algorithms, and data. At the same time, we should change the inherent concept and fully realize that digital transformation and intelligent development are a sustainable development project. Liu He said that the implementation of artificial intelligence in the oil and gas industry is long and promising. The industrial application of artificial intelligence in the oil and gas industry is a complex system project and a protracted battle, which cannot be achieved overnight, and needs to be rolled out gradually from point to point.
Text丨 Reporter Qu Peiran
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Editor丨Yan Zhiqiang