能源是国民经济的命脉，人工智能(AI)是引领科技革命的核心力量。在"双碳"目标引领与新型能源体系 建设的关键阶段，"人工智能+能源"融合创新技术持续涌现。这场融合不仅是技术层面的叠加，更是保 障能源安全、推动绿色转型、培育新质生产力的战略抓手，彰显了我国以科技创新破解发展难题的坚定 决心。 正视瓶颈制约，以系统思维破解发展难题。当前，"人工智能+能源"融合虽成效初显，但仍面临多重挑 战。技术层面，大模型"黑箱"特性导致的可解释性缺陷，使其在电网调度、核电安全等核心领域难以满 足高可靠性要求；数据层面，能源各环节标准不一，"数据孤岛"现象突出，油气行业因业务保密与管理 差异，数据共享难度尤为明显；算力层面，"西部能源富集但算力薄弱、东部算力集中却能源紧张"的逆 向分布问题，制约资源配置效率；人才层面，既懂能源系统又通AI算法的复合型人才供给不足，成为 产业升级的"卡脖子"短板。这些问题并非孤立存在，需要政策、企业、科研机构协同发力，以机制创新 打破壁垒。 能源转型关乎国计民生，智能变革引领未来发展。从政策出台到试点落地，从技术突破到产业升 级，"人工智能+能源"的融合之路正越走越宽。"人工智能+能源"的价值，早 ...

当台风"竹节草"裹挟狂风暴雨侵袭浙江沿海时，国网嘉兴供电公司的调控员在人工智能虚拟总指揮长"启航"的协 助下，30分钟内便完成了以往需数小时的故障信息梳理与处置方案制定；在内蒙古的茫茫草原上，AI算法提前24 小时精准预测出风电场的发电量波动，让电网调度提前做好应对准备；深海油气平台上，智能监测系统通过数据 分析实时排查设备隐患，将传统巡检的风险系数大幅降低……这些场景并非科幻电影的片段，而是中国能源行业 借助大数据与人工智能技术实现转型升级的真实写照。 在全球能源转型加速推进的今天，传统能源秩序正被悄然重构。从"资源主导"到"数据驱动"，从"人力运维"到"智 能调控"，能源行业的变革逻辑正在发生根本性转变。中国作为全球能源生产与消费大国，凭借庞大的能源基础设 施、丰富的应用场景和持续的技术创新，在能源大数据与人工智能融合应用领域走出了一条独具特色的发展道 路，不仅为自身能源高质量发展注入强劲动力，也为全球能源转型提供了新的思路与借鉴。 一、时代必然：能源转型与智能技术的双向奔赴 进入21世纪以来，全球能源格局面临着双重挑战：一方面，传统化石能源的过度依赖导致环境问题日益突出，碳 中和成为各国共同的发展目标； ...

人工智能重构价值 "企业数字化转型离不开智能工厂建设，数字孪生工厂是智能工厂建设中数字工程的重要组成部分。"中 国石化镇海炼化分公司高级专家储祥萍表示，"我们以建设'协同式'数字工程为总体目标，实现了物理 工厂与数字工厂同步交付。依托工程建设管理信息系统，已实现项目阶段全覆盖、业务全集成、流程全 管理。"据了解，该公司是首批领航级智能工厂培育名单中唯一的炼化企业。通过持续攻关三维数字化 建设与应用，镇海炼化打造的数字孪生应用体系，已在模型审查、设计界区审查、管道施工管控、工程 量结算、资产交付和管线工艺处置等作业中得到高效利用。 在智能工厂运行过程中，怎样才能做到全局优化，以最少消耗在原料/数据—工艺—流程控制—过程装 备—计划调度和产品等全链条实现效益最大化，是石化化工企业在数字化转型中普遍面临的痛点。为 此，中国科学院过程工程研究所研究员肖炘在报告中给出了解决思路。 "全局优化是贯穿分子—原料—设备—工艺—工厂的智能化底层技术，能够助力打造石化新质生产力， 让大规模生产协同调度成为可能，在实现炼化整体效益最大化的同时，也满足了国家重大战略需求。例 如，新一代智能全局优化求解器能够成功用于湿法磷酸工艺全局优 ...

"当下先进的科技技术究竟该如何扎根于油气矿山行业，给行业带来改变？经过不断的摸索，我们的答 案是以用促建，让技术从业务的痛点中生长出来。"11月26日，在北京举行的华为中国政企业务油气矿 山2025媒体沟通会上，华为油气矿山集团副总裁吴海宇如是说。在这场媒体沟通会上，三位来自华为油 气矿山军团的发言人讲述了华为如何通过一场"自下而上"的技术渗透，让人工智能(AI)牢牢扎根于能源 化工行业，从辅助系统进入核心生产流程。 让技术沾上"机油味" 当前，传统能源化工行业面临多重挑战，安全管控、效率提升、绿色转型等不同要求为行业发展带来了 较为沉重的压力。在谈及如何应用AI助力能化行业转型时，吴海宇表示，AI的应用需要围绕真实的业 务难题，从场景出发，实现数字化技术的落地应用。 应用这一策略，华为瞄准石油化工行业能耗与安全性两大关键，联合云天化（600096）打造了全球首个 煤气化实时在线优化技术(RTO)大模型项目，使煤气化装置能够精确模拟并预测气化炉炉温、渣层厚度 及渣黏度等关键运行参数，从而保障生产过程的深度优化与极致稳定。该项目投用后，预计每年实现节 煤9000多吨、减少二氧化碳排放量2万多吨，带来每年超千万元 ...

Core Insights - The integration of artificial intelligence (AI) technology is accelerating within the oil and petrochemical industry, driving transformation across the entire value chain from exploration to production management [1] - The application of AI in industrial scenarios must be approached cautiously due to high safety requirements and low tolerance for errors, necessitating a "human-machine collaboration" strategy [2][3] - AI is transitioning from being an auxiliary tool to becoming a core support system in oil and gas field development, with significant potential to enhance recoverable reserves and reduce development costs [4] Group 1: AI Integration and Challenges - Experts emphasize the importance of a rational approach to AI adoption in the oil and petrochemical sector, balancing the potential to address knowledge asymmetries with the need to avoid blindly chasing new technologies [3] - The current mismatch in supply and demand for AI expertise in the industry is highlighted, with many companies lacking familiarity with industrial processes while AI-savvy firms lack industrial knowledge [2] - The establishment of platforms for AI-enabled industrial supply-demand matching is underway, facilitating over 300 offline connections and fostering successful case studies in various fields [2] Group 2: Technological Advancements - AI technologies are showing promising results in enhancing oil and gas field development, with studies indicating a potential 5% increase in recoverable reserves and a 10% to 30% reduction in development costs [4] - The development of autonomous and controllable technology systems is urgent, as over 90% of reservoir numerical simulation software is currently imported [4] - Innovative models and methods, such as the PINN-GCEM and the generalized connection unit method, have been developed to improve simulation speed and efficiency significantly [4] Group 3: Industry Initiatives - Major state-owned enterprises are leading the integration of AI and industrial internet applications, with China National Offshore Oil Corporation (CNOOC) implementing intelligent remote control production systems [6][7] - China Petroleum and Chemical Corporation (Sinopec) has developed a three-tier model system and a large model with significant parameters, enhancing data processing capabilities across various applications [7] - China National Petroleum Corporation (CNPC) has created a multi-layer architecture for its Kunlun model, significantly increasing the parameters of its language and visual models [8]

Core Insights - The key to future success lies in whether the two companies can transform institutional advantages into development momentum, particularly at the intersection of digital transformation and energy revolution [1][10] - The share transfers between China National Petroleum Corporation (CNPC) and China Mobile represent a significant capital operation under the backdrop of deepening state-owned enterprise (SOE) reform, reflecting a strategic partnership through capital ties [1][4] Group 1: Strategic Value of Share Transfers - The core strategic value of the share transfers is to fundamentally reshape the cooperative relationship between the two companies, evolving from a traditional client-supplier dynamic to an intrinsic partnership [2][3] - Establishing capital ties provides institutional guarantees to overcome barriers and short-term interests, allowing both companies to become true partners in long-term strategies like digital transformation and AI energy integration [2][3] Group 2: Business Synergies and Digital Integration - The collaboration showcases significant synergies, with China Mobile's 5G network and computing capabilities being applied in CNPC's operational environments, enhancing efficiency and accuracy in oil exploration and refining processes [3][4] - The digital transformation of CNPC's physical assets will turn them into vital components of the digital economy, aligning with the development needs of new technologies like edge computing and IoT [3][6] Group 3: Value Management and Market Confidence - The share transfers are a crucial practice in value management, aligning with the "China characteristic valuation" concept, which supports the re-evaluation of SOE listed companies [4][5] - By becoming strategic shareholders, both companies endorse each other's asset quality and growth prospects, which can help break the market's perception of "value gaps" in certain SOEs [4][5] Group 4: Governance and Capital Activation - The introduction of strategic shareholders enhances governance by incorporating diverse perspectives and management experiences, which can improve decision-making and risk management [6][7] - The capital transfer optimizes the allocation of state-owned capital, turning previously stagnant assets into active resources that can drive economic growth [6][7] Group 5: Challenges and Future Outlook - The effectiveness of the shareholding arrangement will depend on the depth of execution, requiring a shift from mere shareholding to tangible business collaboration and innovation [8][9] - Potential challenges include increased complexity in governance and the need for stricter management of related-party transactions, which may arise from the cross-shareholding structure [9][10]

Core Insights - The State Council has issued the "Implementation Opinions on Accelerating Scene Cultivation and Open Promotion for Large-Scale Application of New Scenes," marking a systematic deployment of scene cultivation at the national level [1] - Recent industry dynamics illustrate a clear path of practice, including the mutual transfer of A-share stakes between China National Petroleum Corporation (CNPC) and China Mobile, and a model exchange event hosted by iFlytek [1][2] - The collaboration between state-owned enterprises (SOEs) and private enterprises is creating a closed-loop ecosystem characterized by capital interlocking, technological collaboration, and scene implementation [2] Scene Supply Side - SOEs are identified as the core carriers and "rich mines" for new scene cultivation, holding significant infrastructure and industry data [2] - SOEs have developed over 800 application scenarios in the "AI + scene" construction, exemplified by the launch of 100 representative application scenarios in the energy and chemical industry alongside the Kunlun model [2] Technical Support Side - Private enterprises like iFlytek provide essential computing power and algorithm support for scene implementation [3] - iFlytek's Spark model is the only general model trained on domestic computing power, enabling efficient construction of industry-specific models [3] - iFlytek has maintained a leading position in public bidding for large models in SOEs, serving over 20 central enterprises [3] Strategic Value of SOE and Private Enterprise Cooperation - The collaboration enhances technological innovation and self-control, reducing reliance on external technologies [4] - It accelerates digital transformation and industrial upgrading, addressing challenges faced by SOEs in digitalization [4] - The partnership optimizes resource allocation and promotes collaborative development across industries, enhancing overall competitiveness [4] - The rapid pace of scene cultivation and opening will lead to diverse applications in areas like "5G+", "AI+", and "Industrial Internet," driving high-quality development in the real economy [4]

Core Insights - The 41st Abu Dhabi International Petroleum Exhibition recently concluded, focusing on energy transition, smart technology applications, and enhancing industry influence [1] - The event attracted over 2,250 companies and surpassed 200,000 attendees, establishing itself as a significant platform for global energy industry collaboration [1] - The UAE aims to explore a development path that harmonizes economic growth with environmental protection through continuous investment in advanced technology and clean energy [1] Group 1: AI and Technology in Energy - The deep application of artificial intelligence (AI) in the energy sector was a highlight, showcasing its role in optimizing energy systems and enhancing efficiency [1] - The CEO of Abu Dhabi National Oil Company reported that AI has improved production forecasting accuracy to 90%, aiming to become the most AI-integrated energy company globally [1] - A team from Mohammed bin Zayed University of Artificial Intelligence presented autonomous inspection robots and smart cooling systems, emphasizing AI's transition from a tool to a new infrastructure for industry advancement [2] Group 2: Global Participation and Innovations - Chinese companies showcased their innovations, with China National Petroleum demonstrating the Kunlun model, the largest AI system in the energy sector, achieving full-chain intelligent upgrades [2] - China National Offshore Oil Corporation displayed its advanced exploration equipment and intelligent oil fields, highlighting China's leadership in deep-water development and digital transformation [2] - The International Energy Agency noted that the integration of AI with the energy industry is an irreversible trend, enhancing energy allocation and reducing emissions costs [3]

Core Insights - The 41st Abu Dhabi International Petroleum Exhibition recently concluded, focusing on energy transition, smart technology applications, and enhancing industry influence [1] - The event attracted over 2,250 companies and surpassed 200,000 attendees, establishing itself as a significant platform for global energy industry collaboration [1] Group 1: Event Highlights - The exhibition featured four key areas: artificial intelligence and digital transformation, decarbonization, shipping and logistics, and chemical and low-carbon solutions [1] - UAE's Vice President Mansour bin Zayed emphasized the country's commitment to balancing economic growth with environmental protection through investment in advanced technologies and clean energy [1] Group 2: Technological Innovations - AI applications in the energy sector were a major highlight, with the Abu Dhabi National Oil Company reporting a 90% accuracy in production forecasting through AI technology [1] - The Mohammed bin Zayed University of Artificial Intelligence showcased autonomous inspection robots and smart cooling systems, demonstrating AI's role as a new infrastructure for industry advancement [2] Group 3: Global Participation - Chinese companies presented innovative technologies, with China National Petroleum Corporation showcasing the world's largest AI system for the energy sector, enhancing various operational processes [2] - China National Offshore Oil Corporation displayed its advanced exploration equipment and intelligent oil fields, highlighting China's leadership in deepwater development and digital transformation [2] Group 4: Industry Trends - The International Energy Agency noted that the deep integration of AI with the energy sector is an irreversible trend, enhancing energy allocation, reducing emission costs, and improving system resilience [3] - The exhibition served as a crucial bridge for global energy technology exchange, reflecting a shared vision for addressing energy challenges through innovation and collaboration [3]

Core Insights - The 41st Abu Dhabi International Petroleum Exhibition focused on energy transition, smart technology applications, and enhancing industry influence, attracting over 2,250 companies and more than 200,000 attendees, establishing itself as a key platform for global energy collaboration [1] Group 1: Event Highlights - The exhibition featured four main areas: artificial intelligence and digital transformation, decarbonization, shipping and logistics, and chemical and low-carbon solutions, aimed at addressing energy transformation challenges and promoting sustainable development [1] - UAE's Vice President and Prime Minister emphasized the country's commitment to balancing economic growth with environmental protection through investments in advanced technology and clean energy [1] Group 2: Technological Innovations - AI applications in the energy sector were a major highlight, with the Abu Dhabi National Oil Company reporting a 90% accuracy in production forecasting through AI technology [1] - Mohammed bin Zayed University of Artificial Intelligence showcased autonomous inspection robots and smart cooling systems, indicating AI's evolution into a new infrastructure for industry advancement [2] Group 3: Global Participation - Chinese companies demonstrated significant advancements in digital energy transformation, with China National Petroleum Corporation presenting the world's largest AI system for the energy sector, enhancing various operational processes [2] - China National Offshore Oil Corporation and Sinopec showcased their leading capabilities in deepwater exploration and digital transformation through interactive displays and multi-screen presentations [2] Group 4: Industry Trends - The International Energy Agency reported that the deep integration of AI with the energy sector is an irreversible trend, enhancing energy allocation, reducing emission costs, and improving system resilience [3] - The exhibition served as a crucial bridge for global energy technology exchange, highlighting a shared vision for addressing energy challenges through innovation and collaboration [3]