随着深水勘探开发技术在海洋油气开采领域的不断发展,全球海上钻采作业需求逐渐增加,设备选型、检索等工作成为海洋生产企业不可或缺的关键任务和竞争策略.然而,传统的人工检索过程存在着设备需求繁多、设备清单复杂等问题,导致了大量人力成本的投入和潜在的人为操作错误风险.本文采用Python Django框架成功开发了半潜式钻井平台设备快速检索程序.该程序通过深入分析设备检索人员的需求,结合Python编程、超文本标记语言(HyperText Markup Language,HTML)工具和轻量级结构化查询语言(Structured Query Language Lite,SQLite)数据库,基于Python Django框架实现了前端界面生成、数据处理、检索重置等核心功能.用户可根据需求文件要求生成前端页面,并进行设备检索和筛选.这一工具的出现简化了设备检索工作,提高了信息化效率,为提升设备需求匹配工作的效益提供了有力支持.
Rapid Retrieval Software Design for Semi-Submersible Drilling Platform Equipment Based on Django Framework
With the ongoing advancement of deepwater technology in offshore oil and gas extraction,the worldwide requirement for offshore drilling and production operations is steadily on the rise.Consequently,equipment selection,retrieval,and other related tasks have become crucial and competitive strategies for marine production companies.However,the conventional retrieval process encounters challenges,including high equipment demands and intricate equipment inventories.These issues generate substantial labor expenses and the possibility of human errors.This study has effectively created a swift retrieval software for semi-submersible drilling equipment utilizing the Python Django framework.Through an extensive analysis of the needs of personnel involved in device retrieval,this program was developed using Python programming,HTML tools,and SQLite database.It is designed to implement essential functions,including generating front-end interfaces,processing data,and resetting retrieval mechanisms based on the Python Django framework.The system allows users to generate front-end pages in accordance with the requirements outlined in the documents and perform device retrieval and filtering.The tool's emergence simplifies device retrieval work and improves information efficiency,providing robust support for enhancing work efficiency in this particular field.
NETL
NSTL
万方数据
