Seafloor seismic acquisition using autonomous underwater vehicles

被引:2
|
作者
Tsingas, Constantinos [1 ]
Brizard, Thierry [2 ]
Al Muhaidib, Abdulaziz [1 ]
机构
[1] Saudi Aramco, EXPEC Adv Res Ctr, Dhahran, Saudi Arabia
[2] Seabed GeoSolut, Houston, TX USA
关键词
Automation; Robotics; Autonomous Underwater Vehicles; Acoustic Positioning;
D O I
10.1111/1365-2478.12670
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Although narrow-azimuth towed-streamer data provide good image quality for structural interpretation, it is generally accepted that for wide-azimuth marine surveys seabed receivers deliver superior seismic reflection measurements and seismically derived reservoir attributes. However, seabed surveys are not widely used due to the higher acquisition costs when compared to streamer acquisition. In recent years, there have been significant engineering efforts to automate receiver deployment and retrieval in order to minimize the cost differential and conduct cost-efficient seabed receiver seismic surveys. These engineering efforts include industrially engineered nodes, nodes on a rope deployment schemes and even robotic nodes, which swim to and from the deployment location. This move to automation is inevitable, leading to robotization of seismic data acquisition for exploration and development activities in the oil and gas industry. We are developing a robotic-based technology, which utilizes autonomous underwater vehicles as seismic sensors without the need of using a remotely operated vehicle for deployment and retrieval. In this paper, we describe the autonomous underwater vehicle evolution throughout the project years from initial heavy and bulky nodes to fully autonomous light and flexible underwater receivers. Results obtained from two field pilot tests using different generations of autonomous underwater vehicles indicate that the seismic coupling, and navigation based on underwater acoustics are very reliable and robust.
引用
收藏
页码:1557 / 1570
页数:14
相关论文
共 50 条
  • [31] Hull shape optimization for autonomous underwater vehicles using CFD
    Gao, Ting
    Wang, Yaxing
    Pang, Yongjie
    Cao, Jian
    [J]. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS, 2016, 10 (01) : 599 - 607
  • [32] Gradient search with autonomous underwater vehicles using scalar measurements
    Burian, E
    Yoerger, D
    Bradley, A
    Singh, H
    [J]. PROCEEDINGS OF THE 1996 SYMPOSIUM ON AUTONOMOUS UNDERWATER VEHICLE TECHNOLOGY, 1996, : 86 - 98
  • [33] Using Autonomous Underwater Vehicles for Diver Tracking and Navigation Aiding
    Nad, Dula
    Mandic, Filip
    Miskovic, Nikola
    [J]. JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2020, 8 (06)
  • [34] Using Collective Intentionality to Model Fleets of Autonomous Underwater Vehicles
    Ray, Patrick
    O'Rourke, Michael
    Edwards, Dean
    [J]. OCEANS 2009, VOLS 1-3, 2009, : 1762 - 1768
  • [35] Cooperative Localization for Autonomous Underwater Vehicles Using Parallel Projection
    Chen, Qizhu
    You, Keyou
    Song, Shiji
    [J]. 2017 13TH IEEE INTERNATIONAL CONFERENCE ON CONTROL & AUTOMATION (ICCA), 2017, : 788 - 793
  • [36] Improved monitoring of HABs using autonomous underwater vehicles (AUV)
    Robbins, I. C.
    Kirkpatrick, G. J.
    Blackwell, S. M.
    Hillier, J.
    Knight, C. A.
    Moline, M. A.
    [J]. HARMFUL ALGAE, 2006, 5 (06) : 749 - 761
  • [37] Cooperative Search and Survey Using Autonomous Underwater Vehicles (AUVs)
    Yoon, Seokhoon
    Qiao, Chunming
    [J]. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2011, 22 (03) : 364 - 379
  • [38] Cooperative Coverage using Autonomous Underwater Vehicles in Unknown Environments
    Gupta, Shalabh
    Hare, James
    Zhou, Shengli
    [J]. 2012 OCEANS, 2012,
  • [39] Autonomous Underwater Vehicles and Field of View in Underwater Operations
    Ramirez, Isaac Segovia
    Bernalte Sanchez, Pedro Jose
    Papaelias, Mayorkinos
    Marquez, Fausto Pedro Garcia
    [J]. JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2021, 9 (03) : 1 - 16
  • [40] Underwater Transponder Positioning and Navigation of Autonomous Underwater Vehicles
    Hegrenaes, Oyvind
    Gade, Kenneth
    Hagen, Ove Kent
    Hagen, Per Espen
    [J]. OCEANS 2009, VOLS 1-3, 2009, : 831 - +