Multi-robot system for inspection of underwater pipelines in shallow waters

Sahejad Patel, Fadl Abdellatif, Mohammed Alsheikh, Hassane Trigui, Ali Outa, Ayman Amer, Mohammed Sarraj, Ahmed Al Brahim, Yazeed Alnumay, Amjad Felemban, Ali Alrasheed, Abdulwahab Halawani, Hesham Jifri, Hassan Jaleel, Jeff Shamma

Research output: Contribution to journalArticlepeer-review

Abstract

Shallow Water Inspection & Monitoring Robot (SWIM-R) is designed to quickly and safely inspect oil and gas pipelines in extremely shallow waters. Divers clean and inspect pipeline joints. However, diving operations are slow in shallow waters as diving support ships cannot access shallow depths. Remotely operated vehicles (ROVs) that can perform cleaning and inspection are typically suited for deeper regions and are too large for smaller boats that navigate in shallow areas. To resolve this challenge, two SWIM-R vehicles and a companion Autonomous Surface Vehicle (ASV) were developed as a multi-robot system to minimize the reliance on divers for pipeline inspection. A unique mission architecture is presented that avails three operating modes depending on the depth; direct control from the shore, relayed control via the ASV, and direct control from a small zodiac. The mission architecture includes two ROVs; a Cleaning SWIM-R fitted with a water-jet nozzle to clean marine growth from the surface to be inspected, and an Inspection SWIM-R fitted with a neutrally-buoyant multi-functional robotic arm to inspect the surface and crawling tracks to traverse the seafloor. This multi-robot system was field tested, which proved its efficacy in inspecting oil and gas assets in shallow waters.

Original languageEnglish (US)
Pages (from-to)14-38
Number of pages25
JournalInternational Journal of Intelligent Robotics and Applications
Volume8
Issue number1
DOIs
StatePublished - Mar 2024

Keywords

  • Collaborative robots
  • Inspection
  • Modular design
  • Remotely operated vehicle
  • Robotic arm
  • Shallow water
  • Underwater robot

ASJC Scopus subject areas

  • Computer Science Applications
  • Artificial Intelligence

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