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中国石化(600028) - 中国石化H股公告-翌日披露表格

2025-11-27 02:15
EE305 Next Day Disclosure Return (Equity issuer - changes in issued shares or treasury shares, share buybacks and/or on-market sales of treasury shares) Page 1 of 17 v 1.3.0 FF305 □ Not applicable + HKD 4 09 | | | B. Shares redeemed or repurchased for cancellation but not yet cancelled as at the closing balance date (Notes 5 and 6) | | _ Not applicable | | | --- | --- | --- | --- | --- | --- | | 1). | Shares repurchased for cancellation but not yet cancelled | 5,410,000 | 0.02 % | HKD | 4 09 | | | Date of c ...
中石化取得基于指示曲线的岩相预测方法和装置专利
Sou Hu Cai Jing· 2025-11-27 00:57
声明:市场有风险,投资需谨慎。本文为AI基于第三方数据生成,仅供参考,不构成个人投资建议。 来源:市场资讯 天眼查资料显示,中国石油化工股份有限公司,成立于2000年,位于北京市,是一家以从事石油和天然 气开采业为主的企业。企业注册资本12173968.9893万人民币。通过天眼查大数据分析,中国石油化工 股份有限公司共对外投资了268家企业,参与招投标项目5000次,财产线索方面有商标信息45条,专利 信息5000条,此外企业还拥有行政许可41个。 中石化石油物探技术研究院有限公司,成立于2022年,位于南京市,是一家以从事开采专业及辅助性活 动为主的企业。企业注册资本133611.989369万人民币。通过天眼查大数据分析,中石化石油物探技术 研究院有限公司共对外投资了2家企业,参与招投标项目401次,专利信息801条,此外企业还拥有行政 许可14个。 国家知识产权局信息显示,中国石油化工股份有限公司、中石化石油物探技术研究院有限公司取得一项 名为"基于指示曲线的岩相预测方法和装置"的专利,授权公告号CN119882065B,申请日期为2023年10 月。 ...
中石化取得超高分子量聚乙烯纤维及其制备方法与应用专利
Sou Hu Cai Jing· 2025-11-27 00:57
国家知识产权局信息显示,中国石油化工股份有限公司取得一项名为"超高分子量聚乙烯纤维及其制备 方法与应用"的专利,授权公告号CN119900100B,申请日期为2023年10月。 中国石化集团南京化学工业有限公司,成立于1985年,位于南京市,是一家以从事橡胶和塑料制品业为 主的企业。企业注册资本240214.9万人民币。通过天眼查大数据分析,中国石化集团南京化学工业有限 公司共对外投资了16家企业,参与招投标项目5000次,财产线索方面有商标信息17条,专利信息609 条,此外企业还拥有行政许可5816个。 声明:市场有风险,投资需谨慎。本文为AI基于第三方数据生成,仅供参考,不构成个人投资建议。 来源:市场资讯 天眼查资料显示,中国石油化工股份有限公司,成立于2000年,位于北京市,是一家以从事石油和天然 气开采业为主的企业。企业注册资本12173968.9893万人民币。通过天眼查大数据分析,中国石油化工 股份有限公司共对外投资了268家企业,参与招投标项目5000次,财产线索方面有商标信息45条,专利 信息5000条,此外企业还拥有行政许可41个。 中石化南京化工研究院有限公司,成立于1994年,位于南 ...
巴斯夫,签约中石化和埃克森美孚
DT新材料· 2025-11-26 16:04
Core Viewpoint - BASF and Sinopec's subsidiary signed a strategic cooperation agreement to promote the large-scale application of biogas in Nanjing, accelerating the low-carbon transformation of production operations [2][4]. Group 1: Strategic Collaborations - BASF, Sinopec Natural Gas Company, and Yangzi Petrochemical-BASF will work together to utilize ISCC+ certified biogas as a sustainable raw material to reduce carbon footprints in production [4]. - BASF and ExxonMobil signed a joint development agreement to advance methane pyrolysis technology, aiming to produce low-carbon hydrogen and solid carbon [5]. Group 2: Biogas Industry Overview - Biogas, primarily derived from organic waste through anaerobic fermentation, is a renewable fuel that meets conventional natural gas standards [5][8]. - The global biogas industry is led by Europe, with over 1,600 projects producing 5.5 billion cubic meters, accounting for 45% of global output [7][8]. - The U.S. is the largest producer of biogas, with a projected output of 2.2 billion cubic meters in 2024, representing 18% of global production [8]. Group 3: Market Potential and Trends - China's annual production of biogas is only 500 million cubic meters, indicating significant growth potential compared to the biomass resource generation of 45.3 billion tons [8]. - The industry is shifting towards using biogas for producing higher-value chemicals, such as hydrogen, methanol, and sustainable aviation fuel (SAF) [8][10]. Group 4: Challenges and Future Outlook - The biogas sector faces challenges such as high collection and transportation costs, fragmented supply chains, and reliance on imported technology for purification [11]. - With policy support and technological advancements, the biogas market is expected to transition from being policy-driven to meeting genuine market demand [11].
中石化取得连片数据的组合规则化处理方法、装置、电子设备及介质专利
Sou Hu Cai Jing· 2025-11-26 13:15
Group 1 - The State Intellectual Property Office of China has granted a patent to China Petroleum & Chemical Corporation and Sinopec Petroleum Exploration Technology Research Institute for a method and device for processing contiguous data [1] - China Petroleum & Chemical Corporation, established in 2000, is primarily engaged in oil and gas extraction, with a registered capital of approximately 12.17 billion RMB [1] - The company has invested in 268 enterprises, participated in 5,000 bidding projects, and holds 45 trademark registrations and 5,000 patents [1] Group 2 - Sinopec Petroleum Exploration Technology Research Institute, founded in 2022, focuses on extraction and auxiliary activities, with a registered capital of approximately 133.61 million RMB [1] - The institute has invested in 2 enterprises, participated in 401 bidding projects, and holds 801 patents [1] - Additionally, the institute has obtained 14 administrative licenses [1]
中国石化联工会联合会首次干部培训班举办

Zhong Guo Hua Gong Bao· 2025-11-26 11:23
中化新网讯 11 月 18 日 至 19 日 ,中国石化联工会联合会首次工会干部培训班在北京举办,旨在提 升基层工会领导干部的业务素养和服务能力,强化工会干部履职能力,来自全系统 40 多家单位的近百 名工会干部代表参加了培训。会议由中国石化联工会联合会副主席叶皓主持。 学员们纷纷表示,本次培训内容丰富、课程实用、形式多样,解决了很多实际工作中的问题和困 惑,为未来加强基层工会的理论知识水平,规范工会组织建设,创新工作思路和提升服务效能提供了有 力指导。 图为培训现场。 (顾先丽 摄) 中国石化联工会联合会主席孙秋宏在开班致辞中表示,全系统的工会工作坚持在全国性行业协会商 会工会联合会和中国石化联党委的领导下与时俱进、守正创新。工会组织作为党联系职工群众的桥梁和 纽带,要坚持党的全面领导,立足行业,服务大局,深刻领会新时代工会工作的重大使命;要聚焦主 业,勇于担当,在推动行业高质量发展中奋力开创工会工作新局面;要锤炼本领,淬炼作风,以过硬素 质提升工会干部队伍履职能力。 培训会上,中国劳动关系学院工会学院潘泰萍院长、范丽娜副教授"、十佳教师"刘东生等分别 就"学习贯彻党的二十届四中全会精神,推动工会工作创新发 ...
国内首座地下储氢井加氢站供氢突破400吨
Xin Hua She· 2025-11-26 11:13
Core Insights - The China Petroleum & Chemical Corporation (Sinopec) has successfully implemented the 45MPa high-pressure hydrogen storage well technology at its integrated hydrogen refueling station in Chongqing, marking a significant breakthrough in high-pressure underground hydrogen storage technology and commercial operation in China [1][2]. Group 1: Technology and Innovation - The underground hydrogen storage solution addresses the challenges of hydrogen storage in mountainous cities, saving approximately two-thirds of the land area compared to traditional ground storage facilities [2]. - The 45MPa high-pressure hydrogen storage well is innovatively designed to be vertically buried underground, providing a new solution for hydrogen infrastructure in similar regions [2]. - The technology has received three national patents and has been included in the 2024 Chongqing major technological equipment promotion directory [2]. Group 2: Operational Efficiency - The integrated hydrogen refueling station has been in safe and stable operation for over 1,500 days, supplying more than 400 tons of hydrogen [1]. - The station has a daily hydrogen supply capacity of 1,000 kilograms, sufficient to meet the refueling needs of approximately 100 hydrogen fuel cell vehicles [2]. - Refueling a vehicle with 12 kilograms of hydrogen takes only 10 minutes, with a cost of 25 yuan per kilogram, allowing for a driving range of about 550 kilometers per full tank [2]. Group 3: Supply Chain and Infrastructure - The hydrogen source for the station is derived from the by-product hydrogen from Sinopec's Chuanwei Chemical, which is purified to 99.999% purity and transported through a complete localized supply chain [5]. - The supply chain includes hydrogen production, purification, transportation, and refueling, providing solid support for the construction of the "Hydrogen Corridor" in the Chengdu-Chongqing region [5].
中国石油化工股份(00386) - 翌日披露报表

2025-11-26 10:40
呈交日期: 2025年11月26日 FF305 翌日披露報表 (股份發行人 ── 已發行股份或庫存股份變動、股份購回及/或在場内出售庫存股份) 表格類別: 股票 狀態: 新提交 公司名稱: 中國石油化工股份有限公司 如上市發行人的已發行股份或庫存股份出現變動而須根據《香港聯合交易所有限公司(「香港聯交所」)證券上市規則》(「《主板上市規則》」)第13.25A條 / 《香港聯合交易所有限公司GEM證券 上市規則》(「《GEM上市規則》」)第17.27A條作出披露,必須填妥第一章節 。 | 第一章節 | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | 1. 股份分類 | 普通股 | 股份類別 | H | | 於香港聯交所上市 | 是 | | | 證券代號 (如上市) | 00386 | 說明 | | | | | | | A. 已發行股份或庫存股份變動 | | | | | | | | | | | | 已發行股份(不包括庫存股份)變動 | | 庫存股份變動 | | | | | 事件 | 已發行股份(不包括庫存股份)數 目 | 佔有關事 ...
天风证券:政策与周期共振 石化行业迎来结构性机遇
智通财经网· 2025-11-26 07:51
Core Viewpoint - The petrochemical industry is at a significant turning point driven by policies aimed at "controlling growth and reducing inventory" [1][2] Group 1: Policy Implications - The "controlling growth" strategy is central to the long-term improvement of the industry, as outlined in the "Petrochemical and Chemical Industry Stabilization Growth Work Plan," which emphasizes scientific regulation of major project construction and strict control of new refining capacity [2] - The "reducing inventory" approach focuses on addressing current contradictions, with safety, environmental protection, and energy efficiency being key policy drivers [2] Group 2: Industry Cycle and Capacity - The industry is nearing the end of its production cycle, with significant slowdowns in capacity growth expected by 2026 for most products [1][4] - Despite high operating rates, the industry has not experienced severe oversupply, with average capacity growth for various petrochemical products exceeding 10% per year from 2019 to 2025 [3] Group 3: Future Outlook - By 2026, the production growth rate of most petrochemical products is expected to decline significantly, leading to improved capacity utilization in sectors like PX, polyester filament, methanol, and acetic acid [4] - The industry is anticipated to transition from localized recovery to comprehensive improvement between 2027 and 2028, supported by high entry barriers and reduced new capacity growth [4] Group 4: Profitability and Investment Recommendations - The PX industry chain is projected to provide significant profit elasticity for refining companies in 2026, driven by supply-demand imbalances and external factors such as sanctions and refinery attacks affecting oil exports [5] - Recommended stocks include Hengli Petrochemical, Rongsheng Petrochemical, Hengyi Petrochemical, Dongfang Shenghong, and Sinopec, with a suggestion to pay attention to Huajin Co [5]
石油石化行业AI怎么从“可用”到“实用”
Zhong Guo Hua Gong Bao· 2025-11-26 07:36
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]