Optimization of autonomous vehicles and corresponding docking stations in offshore environment

Khalid A. Soofi, Fang Lu, Zhichao Shu, John Hasenbein, David Morton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes in detail an optimization model that provides a range of required number of autonomously operated vehicles (AUV and/or Drones) to monitor hazardous objects in offshore environment. In addition to the number of AUVs required it also calculates the number of docking stations required to service these AUVs. Finally, an attempt was made optimize the location of the docking stations. The paper will describe the general theory and an example application to monitor ice floes in offshore Arctic as described next. Arctic offshore exploration and development is inherently complicated due to harsh environment caused by extreme cold temperatures as well as the sea ice environment. The sea ice floes are dynamic in nature and have variable spatial size, thickness, speed and directions. The modern satellite imagery (particularly Synthetic Aperture Radar with its all weather capability) provides a powerful tool to get the size, speed and direction of the floes. However the ice floe thickness is not readily discernible from satellite images and attempts to calculate the thickness directly from satellite imagery have yielded mixed results. One method is to make use of Autonomous Underwater Vehicles (AUV) which can be equipped with upward looking sonar (either in single beam or a multi-beam mode) and then sent to hazardous sea ice floe on command. The idea is that AUV will then make all the required profiles of the ice floe underside providing concrete information about the thickness and then report back to the control center where a decision could be made whether we need to initiate an ice management response or not. If we are to use the AUV and ancillary docking stations to measure sea ice thickness then we need to know what is the suitable number of AUV and corresponding docking stations required for a near zero tolerance of failure (i.e. failed to detect a hazardous sea ice floe based on its thickness). We decided to solve this problem using a linear mixed-integer programming method.

Original languageEnglish (US)
Title of host publicationOffshore Technology Conference Asia, OTC ASIA 2014
Subtitle of host publicationMeeting the Challenges for Asia's Growth
PublisherOffshore Technology Conference
Pages1393-1404
Number of pages12
ISBN (Print)9781632663870
StatePublished - Jan 1 2014
EventOffshore Technology Conference Asia: Meeting the Challenges for Asia's Growth, OTC ASIA 2014 - Kuala Lumpur, Malaysia
Duration: Mar 25 2014Mar 28 2014

Publication series

NameProceedings of the Annual Offshore Technology Conference
Volume2
ISSN (Print)0160-3663

Other

OtherOffshore Technology Conference Asia: Meeting the Challenges for Asia's Growth, OTC ASIA 2014
CountryMalaysia
CityKuala Lumpur
Period3/25/143/28/14

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Ocean Engineering
  • Energy Engineering and Power Technology
  • Mechanical Engineering

Fingerprint Dive into the research topics of 'Optimization of autonomous vehicles and corresponding docking stations in offshore environment'. Together they form a unique fingerprint.

Cite this