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海默科技:股东计划减持不超过1.65%公司股份
Xin Lang Cai Jing· 2025-08-11 11:17
Core Viewpoint - The company, Haimer Technology (300084.SZ), announced that its major shareholder, Dou Jianwen, plans to reduce his shareholding in the company due to personal financial needs [1] Summary by Relevant Sections - **Shareholder Reduction Plan** - Dou Jianwen, a shareholder holding more than 5% of the company, intends to reduce his holdings within three months after a 15 trading day period from the announcement date [1] - The maximum number of shares to be reduced is 8,427,302, which represents up to 1.65% of the company's total share capital [1]
海默科技:截至2025年7月31日公司股东人数为31270户
Zheng Quan Ri Bao Wang· 2025-08-07 09:42
Core Viewpoint - The company, Haimer Technology, reported that as of July 31, 2025, the number of shareholders is expected to reach 31,270 [1] Summary by Categories Company Information - Haimer Technology (stock code: 300084) provided an update on its shareholder count, indicating a projected total of 31,270 shareholders by the specified date [1]
德石股份: 国新证券股份有限公司关于德州联合石油科技股份有限公司2025 年半年度持续督导跟踪报告
Zheng Quan Zhi Xing· 2025-08-06 16:09
Group 1 - The report indicates that Guoxin Securities has effectively supervised the information disclosure of Dezhou United Petroleum Technology Co., Ltd, with no instances of delayed reviews [1][2] - The company has established and effectively executed regulations regarding resource utilization, fundraising management, internal controls, and related party transactions [1][2] - There were six instances of checking the company's fundraising special account, and the progress of fundraising projects was consistent with disclosed information [1][2] Group 2 - The report states that there were no issues requiring attention or any non-compliance with commitments by the company or its shareholders [2] - A training session was conducted on March 31, 2025, focusing on the interpretation of new stock reduction regulations [1][2] - Guoxin Securities has appointed Sun Yueqin as the new continuing supervising representative to ensure ongoing oversight after the previous representative's departure [2]
股份协议转让过户完成 范中华成为海默科技新任控股股东和实际控制人
Zheng Quan Ri Bao Wang· 2025-08-01 07:12
Core Viewpoint - The transfer of shares in Haimer Technology has resulted in a change of control, with Fan Zhonghua becoming the new controlling shareholder and actual controller of the company [1][2]. Group 1: Share Transfer Details - Haimer Technology announced the completion of a share transfer involving 25.525 million shares, representing 5% of the company's total share capital [1]. - The share transfer agreement was signed in June, and the voting rights for an additional 117 million shares, accounting for 23.02% of the total share capital, were also delegated to Fan Zhonghua [1]. - As of July 31, Fan Zhonghua directly holds 25.525 million shares and has voting rights over a total of 143 million shares, which is 28.02% of the company's total shares [1]. Group 2: New Controlling Shareholder Profile - Fan Zhonghua has extensive experience in managing and operating real enterprises, having led Ningxia Yinghai Group for over 20 years, transforming it into the 48th largest cement company in China [2]. - The new controlling shareholder plans to continue the strategy of "improving quality and efficiency, focusing on core business," while promoting business transformation and digital upgrades [2]. - The strategy also includes resource integration to explore new growth points, aiming to enhance the company's profitability and sustainability [2].
全球无磁合金钢钻铤市场生产商排名及市场占有率
QYResearch· 2025-06-20 09:30
Core Viewpoint - The article discusses the significance and growing demand for non-magnetic alloy steel drill pipes in the oil and gas drilling industry, highlighting their advantages in high-precision applications and complex geological conditions [1][3][4]. Summary by Sections Product Overview - Non-magnetic alloy steel drill pipes are specifically designed for oil drilling operations, providing necessary weight and stability during drilling [1]. - Unlike traditional magnetic alloy drill pipes, non-magnetic variants excel in environments with strong magnetic interference, crucial for geological measurements and directional control [1]. - These drill pipes are made from specially treated alloy steel, typically containing elements like molybdenum, chromium, vanadium, and manganese, which enhance strength, wear resistance, and corrosion resistance [1][2]. Market Development Analysis - The non-magnetic alloy steel drill pipe market is experiencing rapid growth driven by increasing global energy demand, particularly for oil and gas [3]. - The need for high-performance drill pipes is rising due to advancements in drilling technology, especially in complex geological conditions and deep-water drilling [3]. - The development of deep-sea oil and gas resources further intensifies the demand for non-magnetic alloy steel drill pipes, as they enable precise directional control [3]. - New technologies such as 3D printing and smart drilling are raising market expectations for non-magnetic alloy steel drill pipes, prompting innovations in production processes and material technologies [3]. Challenges in the Market - The production cost of non-magnetic alloy steel drill pipes is relatively high due to expensive alloy materials and stringent manufacturing requirements, limiting their use in low-cost drilling projects [4]. - The market is characterized by intense competition with many manufacturers, leading to low market concentration and potential price wars that may affect product quality [4]. - Increasing environmental regulations are pushing manufacturers to focus more on sustainability and eco-friendliness in their research and development processes [4]. Future Outlook - The market is expected to see broader applications in the coming years, particularly with the development of more efficient and cost-effective non-magnetic alloy steel drill pipe materials [4]. - Trends in downstream demand indicate that as exploration activities in deep-sea, polar, and complex geological areas increase, the need for non-magnetic alloy steel drill pipes will continue to grow, especially in high-precision drilling and directional drilling [4]. - According to QYResearch, the global non-magnetic alloy steel drill pipe market is projected to reach USD 160 million by 2031, with a compound annual growth rate (CAGR) of 4.9% over the next few years [4].
中石化申请断层活动性与变形扩展特征的分析方法专利,为后续的冲断带变形扩展分析奠定基础
Sou Hu Cai Jing· 2025-05-30 04:00
Core Insights - China Petroleum & Chemical Corporation (Sinopec) has applied for a patent related to fault activity and deformation analysis methods, indicating a focus on enhancing geological exploration techniques [1][2]. Company Overview - China Petroleum & Chemical Corporation, established in 2000, is primarily engaged in the petroleum, coal, and other fuel processing industries, with a registered capital of approximately 12.17 billion RMB [2]. - Sinopec has made investments in 254 companies and participated in 5,000 bidding projects, holding 45 trademark registrations and 5,000 patents [2]. - Sinopec Petroleum Exploration Technology Research Institute, founded in 2022, focuses on extraction activities with a registered capital of approximately 133.61 million RMB [2]. - The research institute has invested in 2 companies, participated in 189 bidding projects, and holds 601 patents [2].
中石化申请基于应力应变关系的破裂压力预测方法和装置专利,综合考虑影响适用性强
Sou Hu Cai Jing· 2025-05-08 01:53
Group 1 - China Petroleum & Chemical Corporation (Sinopec) has applied for a patent for a method and device for predicting fracture pressure based on stress-strain relationships, with publication number CN119937022A and application date of November 2023 [1] - The patent involves a method that constructs a fracture pressure prediction model based on logging and drilling data, inverts pre-stack seismic data, and builds a three-dimensional fracture pressure prediction model to guide drilling and/or fracturing operations [1] - The proposed method considers the impact of wellbore fracture mechanisms and geostress on fracture pressure prediction, establishing a rigorous theoretical foundation and strong applicability [1] Group 2 - China Petroleum & Chemical Corporation was established in 2000, located in Beijing, primarily engaged in the petroleum, coal, and other fuel processing industries, with a registered capital of approximately 12.17 billion RMB [2] - Sinopec has invested in 256 companies, participated in 5,000 bidding projects, holds 45 trademark records, 5,000 patent records, and possesses 39 administrative licenses [2] - Sinopec Petroleum Exploration Technology Research Institute, established in 2022 in Nanjing, focuses on extraction and auxiliary activities, with a registered capital of approximately 133.61 million RMB [2] - The research institute has invested in 1 company, participated in 180 bidding projects, holds 530 patent records, and possesses 13 administrative licenses [2]
中石化申请基于深度学习的微地震事件强度评价方法及系统专利,可判别出误拾事件
Sou Hu Cai Jing· 2025-05-05 13:16
Core Insights - China Petroleum & Chemical Corporation (Sinopec) has applied for a patent related to a deep learning-based method for evaluating microseismic event intensity, indicating a focus on advanced technology in the oil and gas sector [1] Company Overview - China Petroleum & Chemical Corporation was established in 2000, located in Beijing, primarily engaged in the petroleum, coal, and other fuel processing industries, with a registered capital of approximately 12.17 billion RMB [2] - Sinopec has invested in 257 companies, participated in 5,000 bidding projects, holds 45 trademark registrations, and has 5,000 patents, along with 39 administrative licenses [2] - Sinopec Petroleum Exploration Technology Research Institute, founded in 2022 in Nanjing, focuses on extraction activities with a registered capital of approximately 133.61 million RMB [2] - The research institute has invested in 1 company, participated in 179 bidding projects, holds 524 patents, and has 13 administrative licenses [2] Patent Details - The patent application CN119916443A, filed on October 2023, outlines a method that includes steps such as establishing a forward model, constructing a training dataset, and training a microseismic event intensity evaluation network model [1] - The method aims to automatically extract features from multiple microseismic events using deep learning, enhancing the classification of microseismic event intensity and addressing false detection issues by simulating noise data [1]