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胜机公司以机代人重新定义石油装备的“中国智造”
Qi Lu Wan Bao Wang· 2025-08-06 03:33
Core Viewpoint - The company has successfully developed an intelligent workover rig that automates operations, significantly improving efficiency and safety in oil extraction processes, while also addressing labor shortages and harsh working conditions [1][2][3]. Group 1: Technological Innovation - The company transitioned from a "follower" to a "leader" in the automation of workover operations, driven by the need to improve working conditions for aging labor forces and attract younger workers [2]. - The research team faced challenges in developing automation technology due to the complexity of field conditions and the need for high adaptability of equipment [2][3]. - The integration of IoT and visual recognition technologies has increased the operational status recognition accuracy of equipment from 90% to 99.9%, achieving the first instance of unmanned operation in workover rigs in China [3]. Group 2: Equipment Development - The company has developed multiple series of automated workover equipment, including large and small repair operations, with various configurations to meet diverse operational needs [6]. - The fifth generation of automated workover equipment has been tested in harsh marine environments, with enhancements to corrosion resistance and operational lifespan from 5 years to 10 years [4]. - The company has secured over 60 patents, including a key technology for workover robotic arms, positioning China among the few countries with comprehensive automation technology in workover operations [3][6]. Group 3: Market Expansion - The automated workover equipment is currently in use across various oil fields in China, including Shengli, Zhongyuan, and Huadong, with 226 sets deployed [6]. - International interest has been noted from potential clients in countries such as Russia, Romania, Brazil, and Oman, indicating a growing market for the company's technology [6]. - The company aims to enhance the integration of intelligent systems, expand unmanned operation scenarios, and optimize green energy solutions in future developments [6].