大数据与人工智能在油田压力容器中的融合应用  

Fusion Application of Big Data and Artificial Intelligence in Oilfield Pressure Vessels

作　　者：叶晓明 任彦斌 陈选其 Ye Xiaoming;Ren Yanbin;Chen Xuanqi(Safety and Environmental Protection Supervision Department of PetroChina Changqing Oilfield Branch,Xi'an 710018)

机构地区：[1]中国石油长庆油田分公司安全环保监督部,西安710018

出　　处：《中国特种设备安全》2025年第2期81-85,共5页China Special Equipment Safety

摘　　要：在当今数字化时代,信息技术的飞速发展为各个行业带来了深刻变革。油田压力容器作为油气生产过程中的关键设备,安全稳定运行至关重要。本文深入探讨大数据与人工智能在油田压力容器中的融合应用,分析了融合应用的显著优势、所面临的严峻挑战以及未来的发展趋势,旨在为提高油田压力容器的安全性和效率提供参考。In today’s digital age,the rapid development of information technology has brought profound changes to various industries.As a key equipment in the oil and gas production process,the safe and stable operation of oilfield pressure vessel is crucial.This article delves into the integrated application of big data and AI intelligence in oilfield pressure vessels,analyzing significant advantages,severe challenges,and future development trends of fusion application.The aim is to provide references for improving the safety and efficiency of oilfield pressure vessels.

关 键 词：大数据 人工智能 油田压力容器 融合应用 安全 效率 

分 类 号：X933.4[环境科学与工程—安全科学]