BOP压力图分析方法采用计算机视觉技术
本文提出了一种人工智能在计算机视觉领域的新应用，用于自动提取防喷器压力图表数据，结果表明该方法具有显著的效率提升和较高的投资回报率。
来源：SPE 222116。
Blowout-preventer (BOP) systems require inspection at least every 14 days, with a pressure test conducted to ensure their condition. This test currently involves manually decoding pressure‑chart data from a mechanical pressure‑chart recorder, a time-consuming process. The solution described in this paper automates this process by capturing the image of the pressure chart and decoding it using artificial-intelligence (AI) image analysis.
In BOP pressure-chart analysis, computer vision transforms the traditionally manual and error-prone task of decoding pressure-chart data into an automated and precise operation. The system integrates various computer vision techniques to ensure accurate and efficient data extraction from pressure charts, streamlining the entire process.
BOP Pressure Chart. The BOP pressure chart is a critical tool used in drilling operations to monitor pressure changes over time.
