Python计算在井下工具尺寸优化设计中的应用  

Application of Python in downhole tool size optimization design

作　　者：杨洁 YANG Jie(Technical Service Company for Shale Gas Production,Sinopec Jianghan Oilfield Services Jianghan Corporation,Wuhan,Hubei 430223,China)

机构地区：[1]中石化江汉石油工程有限公司页岩气开采技术服务公司,湖北武汉430223

出　　处：《江汉石油职工大学学报》2025年第1期12-14,共3页Journal of Jianghan Petroleum University of Staff and Workers

摘　　要：随着工业自动化的不断发展和技术创新的深入,井下工具设计领域正面临着前所未有的挑战和机遇。Python作为一种高效、易学的编程语言,其在数据处理、分析、可视化及机器学习等方面的强大能力,为井下工具设计提供了新的解决方案。以液压打捞筒为优化设计对象,利用Python开展井下工具结构及尺寸设计,极大地优化了设计步骤,提高设计效率。With the continuous advancement of industrial automation and technological innovation,the design of downhole tools is facing unprecedented challenges and opportunities.Python,as an efficient and easy-to-learn programming language,offers powerful capabilities in data processing,analysis,visualization,and machine learning,providing new solutions for downhole tool design.By taking a hydraulic overshot as the optimization design object,Python is applied to the structural and dimensional design of downhole tools,greatly optimizing the design process and improving efficiency.

关 键 词：PYTHON 井下工具设计 数据分析 节流压差 

分 类 号：TE952[石油与天然气工程—石油机械设备]