石油和天然气开采辅助活动
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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]