机器视觉技术在油田应用现状及展望

近年来,国际政治经济形势发生了深刻变革,中国的石油行业面临着严峻的多维挑战。在高成本开采压力之下,采取油气技术+互联网的方式,借助机器视觉技术建设智能油田有望成为当前油田降本增效的有效途径。通过调研机器视觉技术在油田应用现状及进展,对融合过程中存在的问题进行了分析挖掘,前瞻性地探讨了机器视觉与油田深度融合的建设目标、建设模式和建设方向。

Application Status and Prospect of Computer Vision Technology in Oilfields

China's oil industry has faced severe challenges in recent years as the international political and economic situation changed dramatically.Under the pressure of high-cost production,building intelligent oilfields with the help of computer vision technology is expected to become an effective way to reduce costs and increase efficiency in current oilfields.In this paper,the application and progress of computer vision in oil fields are investigated.Moreover,the existing problems are analyzed.Finally,the goal,mode and direction of the deep integration development between computer vision and oilfield are prospectively discussed.