China National Petroleum Corporation (CNPC) and China Petroleum & Chemical Corporation (Sinopec) today simultaneously announced that they have completed the private deployment of the DeepSeek large model, integrating it into the Kunlun large model and the Great Wall large model, respectively.
CNPC stated that DeepSeek has provided a new engine for optimizing the application effectiveness of the Kunlun large model, shortening the R&D cycle, and building a healthy ecosystem, accelerating the construction of a “Digital and Intelligent CNPC” into the fast lane. Sinopec mentioned that during the deployment process, advanced inference acceleration technology was adopted, nearly doubling the inference computing efficiency of the Great Wall large model, significantly enhancing the model’s application support capabilities.
Additionally, the oil industry has noted that DeepSeek has recently officially entered the data center of Saudi Aramco Digital Company located in Damman.
This signifies that DeepSeek has entered the oil and gas sector, deeply deploying within major oil and gas enterprises. This not only reshapes the AI ecosystem of oil and gas companies but also provides a paradigm for in-depth collaboration between AI technology companies and oil and gas enterprises.
PetroChina: Kunlun Model Completes DeepSeek Private Deployment
February 8th, PetroChina’s official website announced that the Kunlun Model has officially completed the private deployment of the DeepSeek model. This provides a new engine for optimizing the application effect of the Kunlun Model, shortening the research and development cycle, and building a healthy ecosystem, which will drive the construction of “Digital Intelligent PetroChina” into the fast lane.
At the application level, the Kunlun Model’s question-and-answer application “Industry Experts” has now added DeepSeek’s deep reasoning capabilities. When users use “Industry Experts” to conduct industry Q&A, in addition to obtaining professional Q&A results in the field of energy and chemical industry generated by the Kunlun Model, they can also independently choose to switch to the “Deep Thinking” mode to experience AI services such as knowledge reasoning and scenario understanding.
At the model level, the Kunlun Model’s AI middleware model square has launched DeepSeek-V3 and DeepSeek-R1 model versions, and achieved full-size adaptation. Users can call DeepSeek model API services based on the AI middleware, and use AI middleware components and tools to build intelligent agents to meet the needs of different scenarios.
Next, PetroChina will accelerate the iteration and upgrade of industry large models, focus on consolidating the technical foundation for intelligent development, focus on the main business of energy and chemical industry, create distinctive application scenarios and innovative practices, and strive to make new and greater contributions to the construction of a strong network country and digital China.
Key Points:
- Private Deployment: This means that DeepSeek’s model is now integrated directil into PetroChina’s Kunlun Model,allowing for greater control,security,and customization.
- Enhanced Reasoning: DeepSeek’s “deep reasoning” capabilities will improve the Kunlun Model’s ability to understand and answer complex questions in the energy and chemical industry.
- AI Middleware platform: PetroChina’s AI middleware platform allows users to easily access and utilize DeepSeek’s models for various applications.
- Strategic Significance: This collaboration highlights PetroChina’s commitment to leveraging AI to improve efficiency,innovation,and competitiveness in the energy sector.
This is a significant development for both PetroChina and DeepSeek, and it demonstrates the growing importance of AI in the energy industry.
Sinopec: DeepSeek Integrated into the Great Wall Model
- Adopting Advanced Inference Acceleration Technology, the Inference Computing Efficiency of the Large Model is Increased by Nearly Onefold.
From the Sinopec News Office, it is learned that since the release of the domestically-produced deep inference large model DeepSeek, Sinopec immediately formed a special model deployment and evaluation team, completed the deployment of DeepSeek in a localized computing power environment on February 5th, and connected it to the Great Wall large model application system, which is being promoted and used in batches within the enterprise. This deployment not only provides strong technical support for the company’s intelligent transformation, but also provides useful exploration for the application of China’s artificial intelligence technology in the industrial field, and helps industry technological innovation and efficiency improvement.
Efficient Deployment, In-depth Testing, Intelligent Analysis, and Assistance in High-quality Construction of Industry Datasets. In the deployment process, Sinopec adopted advanced inference acceleration technology, which increased the inference computing efficiency of the large model by nearly onefold, significantly enhancing the application support capability of the model. In order to verify the adaptability of DeepSeek-R1 in the petrochemical industry, Sinopec compiled the “Petrochemical Industry Large Model Test Question Set (Inference Thinking Edition)” to conduct a comprehensive in-depth test of the model. The test results show that DeepSeek-R1 has a strong understanding of petrochemical industry knowledge, and the comprehensive answer accuracy is high. In addition, Sinopec also used the DeepSeek large model to intelligently analyze hundreds of industry standards and technical specifications, exploring the high-quality construction of industry datasets. The test shows that the DeepSeek large model has high accuracy in identifying professional content such as mathematical formulas, chemical structural formulas, and professional charts in the petrochemical industry, and can effectively support industry dataset construction and industry model training.
Next, the group’s artificial intelligence technology system will be further improved, the training quality of large models in the petrochemical industry will be improved, and the deep integration of deep reasoning and industry cognition will be realized. At the same time, full use will be made of the high-quality programming capabilities of the DeepSeek large model to improve the development efficiency of professional models such as seismic data processing, reservoir development optimization, chemical product research and development, and customer service, and further promote the transformation of the petrochemical industry to intelligence and digitalization.
In recent years, Sinopec has vigorously promoted the intelligent transformation and digital transformation of the entire industry chain, actively developed intelligent manufacturing, built an artificial intelligence platform and deepened scenario-based applications. It has built 16 smart factories, 4 smart oil and gas fields, more than 150 smart gas stations and 3 smart research institutes. 10 units have been rated as national-level smart manufacturing pilot demonstrations, and 7 enterprises have been rated as national excellent-level smart factories, continuously promoting the development of the oil and petrochemical industry towards high-end, intelligent, and green.
DeepSeek Officially Enters Saudi Aramco Data Center
Recently, DeepSeek, a Chinese artificial intelligence company, has taken an important step in Saudi Arabia and officially entered the data center of Saudi Aramco Digital Company in Dammam. This move marks an important breakthrough in Saudi Arabia’s artificial intelligence infrastructure construction, and also injects new vitality into the development of the AI industry in the Middle East.
Tariq Amin, former CEO of the digital department of Aramco Petroleum Company, emphasized that DeepSeek’s data will be strictly stored locally, ensuring that it will not be leaked to other regions, which provides a solid data security guarantee for DeepSeek’s development in Saudi Arabia.
DeepSeek’s expansion in Saudi Arabia through Saudi Aramco Petroleum Company’s digital facilities reflects the country’s growing role as a regional AI center. The Saudi Ministry of Communications and Information Technology announced that it will invest 10.9 billion US dollars (currently about 79.662 billion yuan) in AI infrastructure and start-up funds. At the same time, Groq (not related to X’s Grok AI) will invest 1.5 billion US dollars (currently about 10.963 billion yuan) to build the world’s largest AI-centric data center in Saudi Arabia.
The cooperation between DeepSeek and Saudi Aramco is a strong combination of technology and resources: Saudi Arabia attracts global AI companies through the digital facilities and funds of energy giants to promote economic diversification; DeepSeek relies on Saudi Arabia’s strategic investment to open up the Middle East market and participate in the formulation of global AI standards.
Summary
Both of these news items show DeepSeek’s business expansion in China and Saudi Arabia, as well as its cooperation with large energy companies to jointly promote the application of artificial intelligence technology in the energy field. DeepSeek’s technical strength and development prospects are worthy of attention.
Post time: Feb-17-2025