Well integrity/control

BOP Pressure-Chart Analysis Approach Uses Computer Vision Technology

This paper presents a novel application of artificial intelligence in computer vision for automating blowout-preventer pressure-chart-data extraction, demonstrating significant efficiency gains and a high return on investment.

Fig. 1—Pressure-chart details.
Fig. 1—Pressure-chart details.
Source: 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.

Computer Vision for Pressure Readings

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.

×
SPE_logo_CMYK_trans_sm.png
Continue Reading with SPE Membership
SPE Members: Please sign in at the top of the page for access to this member-exclusive content. If you are not a member and you find JPT content valuable, we encourage you to become a part of the SPE member community to gain full access.