Efficiency and safety in detecting anomalies through drone images2022-10-03T12:43:02+00:00

Project Description

Efficiency and safety in detecting anomalies through drone images

Customer Case Study

In this document you will learn how:

  • Vidya reduced the number of climbers and  inspectors on risky areas

  • Automate and standardize anomalies and inspection data

  • Increase productivity by contextualization field information and crossing reference with drone images
  • Set a precise integrity plan through Digital Twin within difficult access sites

Equinor is a Norwergian Oil Giant that trusted Vidya to deploy a Digital Twin platform with the objective of reducing people on board and qualify and contextualize available integrity data. Through the use of Vidya Digital Twin platform rope access inspections were reduced in 80%, followed by a reduction of 55% of people on board. Also, the time needed to perform complex inspections plans was reduced from 41 days to 6.

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Customer Case Study

In this document you will learn how:

  • Vidya reduced the number of people on risky areas
  • Automated and standardized anomalies and inspection data
  • Increase productivity by contextualization field information and crossing reference with drone images
  • Set a precise integrity plan through Digital Twin within difficult access sites

Equinor is a Norwergian Oil Giant that trusted Vidya to deploy a Digital Twin platform with the objective of reducing people on board and qualify and contextualize available integrity data. Through the use of Vidya Digital Twin platform rope access inspections were reduced in 80%, followed by a reduction of 55% of people on board. Also, the time needed to perform complex inspections plans was reduced from 41 days to 6.

Our company is trusted by:
Vidya Modec
Vidya Petrobras
Vidya Ocyan
Vidya Vale
Vidya Saipem
Vidya Modec

Internationally

Awarded

2x Winner

at 2022 ATCE Energy Competition

Public Choice, Rising Star
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