"Es un camino del pasado al futuro, del mapa digital, del GPS a la conducción autónoma, como el proceso de la digitalización a la inteligencia artificial..." El 18 de abril, en China, que organizó la asociación e inteligencia artificial y aplicaciones de automatización químico ChangQing yacimientos de petróleo de China sobre desarrollo y tecnología de inteligencia artificial del sector químico, SiLunBeiXie servicio técnico (beijing) co director creativo de China fábrica Liu Yunlong digitales con inteligencia artificial en la interpretación de la imagen.

De la digitalización a la inteligencia, un camino floreciente. "Modelos de datos para simular un depósito de gas alternativo" "construcción de un depósito de gas gemelo digital" "redes neuronales convolutivas"... "Alto" nuevas tecnologías, nuevos nombres que no te dejarán indiferente; También es un camino lleno de espinas. Hay pocos casos de aterrizaje de ia y escenarios de negocios complejos. Los desafíos en la gobernanza de datos y el dise?o de alto nivel no pueden ser ignorados. Después de la digitalización, ?Cómo y adónde llevará el desarrollo de ia de petróleo y gas?

Next stop——

To the new track of artificial intelligence

As an important technology engine, artificial intelligence has become a new focus of international competition and a strategic technology that leads the future, and is the only way for traditional oil and gas enterprises to promote the reform of the whole oil and gas industry chain.

"The development and application of big data and emerging artificial intelligence, Internet of Things, cloud computing and other information technologies are gradually maturing, especially the practical application of artificial intelligence-based geophysical exploration and logging intelligent interpretation, intelligent reservoir description, digital twin drilling, intelligent fracturing and other technologies will completely subvert the traditional working mode." China Petroleum and Chemical automation Application Association president Chen Minghai said.

In the midst of a new wave of energy revolution, artificial intelligence brings unprecedented opportunities to the oil and gas industry. Several Opinions of the National Energy Administration on Accelerating the Development of digital and Intelligent Energy pointed out that the integrated development of the energy industry and digital technology is an important engine to promote the advanced foundation of China's energy industry and the modernization of the industrial chain in the new era, and is an effective measure to implement the new strategy of "four revolutions, one cooperation" energy security and the construction of a new energy system. It is of great significance to enhance the core competitiveness of the energy industry and promote the high-quality development of energy.

According to Li Songquan, chief geologist of Changqing Oilfield, the artificial intelligence layout of the oil and gas industry will be widely extended to the whole industrial chain, and the exploration and development efficiency will be significantly improved through data analysis and model prediction. Through intelligent early warning monitoring and control maintenance, oil and gas production efficiency and safety level will continue to improve. At the same time, artificial intelligence technology will also play a supporting role in market decision-making, enabling the development of oil and gas companies from multiple perspectives.

In addition, artificial intelligence technology also has great potential to help achieve the goal of "double carbon". Rafael Bekshentayev, account manager of Schlumberger's Digital and Integration Group, believes that empowering the energy services industry with intelligent technologies will significantly reduce labor costs, minimize carbon footprint, and support the goal of achieving net zero emissions.

In recent years, CNPC has integrated the new generation of information technology into the products, services and processes of the oil and gas industry chain, launched the implementation of intelligent oil and gas fields and other pilot construction, and the "exploration and development dream cloud" platform has realized the shared application of more than 60 years of exploration and development data, and digitalized and intelligent support and promote the development of the main business.

From automatic data collection to real-time monitoring, from intelligent production optimization to intelligent decision-making, artificial intelligence technology has injected a steady stream of energy into the development of enterprises, and is driving the transformation and leap of the oil and gas industry with an unstoppable trend.

intelligentize——

There are three barriers to accessing data

It is undeniable that compared with the general industry, the application of artificial intelligence in the oil and gas field has few cases and a late start, and some studies are still in the initial stage, without forming a complete theoretical and technical system. "Data governance and use is the core challenge of the current intelligent oil and gas field construction, there is a saying called 'garbage in garbage out', accurate and reliable data is the guarantee of intelligent systems." Rafi Bekshendayev said.

Data has a trilemma. First, access is difficult. The oil and gas industry lacks low-cost, normalized monitoring data acquisition technology as support, and deep-buried oil and gas resource data acquisition costs are high, business scenarios are complex, and it is difficult to convert the understanding of geology and reservoir into perceptible and conclusive data.

Second, mutual difficulties. There is insufficient information coordination and sharing capacity building at the industry level. In the longitudinal view, the data of geological, seismic, logging, drilling and other aspects of oil and gas reservoir development can support each other, but they are independent. From a horizontal perspective, the data standards of multiple suppliers and service providers are different and the quality is uneven, and if an oilman has to open several software platforms to obtain all the monitoring data, this has run counter to the goal of improving quality and efficiency. Yang Yong, deputy general manager of Kunlun Digital Intelligence Company, believes that the low-level repeated development has hindered the in-depth development of the industry, creating countless data islands, and a set of standardized data collection, storage and management norms need to be established.

Third, it is difficult to use data well. In the "intelligent" command center, the data transmission and collection functions are very perfect, which greatly reduces the cost of human inspection and input costs. However, behind the dazzling visualizations, there is no way to hide the lack of "results" - the data only stays on the surface analysis, without the ability to provide decision-making and optimize production.

"In monitoring, detection, interpretation, modeling, digital modeling and production optimization and other single production links with artificial intelligence technology is not 'quench thirst', the effect of empowering oil and gas field development is not obvious, the fundamental reason is that 'single technology +AI' has not changed the production process and working mode of oil and gas field site, digital transformation must rely on the change of production mode and business model." Otherwise, industrial upgrading and quality improvement cannot be achieved." Exploration and Development Research Institute expert, China Petroleum and chemical automation Application Association artificial intelligence branch secretary Liu Wenling said.

In the process of intelligent construction, oil and gas enterprises are still lacking in rigorous top-level planning and mature cognition of artificial intelligence, and the system and norms with clear functions and strong execution force have not been established. Intelligent oilfield construction is a "leader" project, covering organizational change, business process change and management change, involving many departments, the process is complex. Yang Yong pointed out that the relevant business departments and main leaders should change from the past "participation" to "leading", and deeply think about how to change the traditional business organization model based on intelligent technology.

New future——

Explore new trends in artificial intelligence

"The core mission of an intelligent reservoir is to answer three questions: What does the reservoir look like? What's going to happen? What's the best thing to do? This requires more accurate geological models, more accurate intelligent forecasting, and better development decisions." Gong Bin, chief scientist of intelligent oil and gas reservoir of China University of Geosciences (Wuhan), said.

With the goal of production safety, quality and efficiency improvement, and the application of cutting-edge technologies such as machine learning, big data analysis and cognitive computing, oil and gas companies are gradually building an intelligent research ecosystem covering "data + algorithm + application" to provide new means for solving complex nonlinear problems in oil and gas safety management. "Artificial intelligence technology will continue to help oil and gas companies automate production, reduce labor costs and risks of human error, improve equipment reliability and availability, monitor and alert equipment failures, reduce maintenance costs and production downtime, improve production efficiency and safety, and manage and optimize the entire life cycle of oil and gas fields from exploration to development to production." Qingdao University of Technology vice president Zhang Kai said.

The development and application of new technologies such as digital twins have begun. Bp's analog and monitoring system APEX, developed using digital twin technology, has reduced the optimization time of production systems from several hours to 20 minutes. According to Liu Wenling, the digital twin technology will build a digital twin of oil and gas reservoirs in the data space, reflecting the current real-time oil and gas reservoir parameter model, which can promote the traditional artificial experience-led oil and gas field development mode to the cloud, and implement real-time monitoring, real-time simulation, real-time optimization and real-time regulation of oil and gas reservoirs in the cloud. The new business model of oil and gas development based on digital twin reservoirs will bring a new technological revolution in the field of oil and gas field development.

Establish a standardized and shareable platform to become the consensus of experts attending the meeting. On the basis of the initial results achieved in the number of intelligent Wells, number of intelligent stations, number of intelligent Wells, and number of intelligent reservoirs, Dagang Oilfield applies the "number of intelligent" on the "point" to the "line", connects the point to the line, polymerization and amplification, and carries out scientific and technological research with the goal of above-ground linkage and the integration of well pipe stations in the oil and gas industry. Yang Yong said that Kunlun Digital Intelligence will establish a more matching mechanism, implement more effective measures, attract more enterprises to participate in the construction of the entire oil and gas industry industrial Internet platform, and continue to improve the high level of scientific and technological self-reliance in the industrial field, especially in the process of intelligent development in the oil and gas industry.

The future has come, the wisdom of the future. This is a subversive change in the development concept, working mode, operation management, scientific and technological research and development, and management system and mechanism. Towards "smart China Oil", how do we consolidate the data base and break the data island? What new concepts and mechanisms should be used to support intelligent production? How to build a new industrial ecology? Take the road of intelligent development, there are still many necessary questions waiting for us to answer.

-----------------------------------------------This article is extracted from《people.com.cn》