Robotization of Operations in the Petroleum Industry

Hope Okoro; Dagogo Godwin Orifama

doi:doi:10.11648/j.ijimse.20190405.11

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Robotization of Operations in the Petroleum Industry

Hope Okoro, Dagogo Godwin Orifama

Published in International Journal of Industrial and Manufacturing Systems Engineering (Volume 4, Issue 5)

Received: 28 September 2019 Accepted: 24 October 2019 Published: 31 October 2019

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Abstract

As the petroleum industry ventures into deep and ultra-deep waters in pursuit for increased oil production to meet the global energy demand, challenges of personnel health and safety and environmental pollution have gained a considerable amount of attention. One notable accident that has sparked this attention is the explosion of the Deepwater Horizon offshore petroleum platform that led to the spillage of oil into the water bodies. In tackling these challenges and preventing the reoccurrence of such accidents, the application of robotic automation in these environments, adjudged to be hostile and prone to high level of risk, provides the only option for safe and cost-effective operations. With the success of robotic automation in the manufacturing and aerospace industries, the oil and gas industry aim to take the advantages of increased reliability, accuracy and efficiency provided by robotics and automation technologies in improving operations and production both onshore and offshore and limiting the exposure of human workers to explosive and harsh onshore and offshore environments. In recent times, robotic technologies such as remotely operated vehicles (ROVs), autonomous underwater vehicles (AUVs), underwater welding robots and teleoperated unmanned production platforms have been deployed to facilitate smooth operation and production in ultra-deep waters. Thus, this paper investigates some of the various onshore and offshore operations such as exploration, tank and pipe inspection that require automation, the application of robotics and automation technologies to these operations, and the challenges and issues (such as human-robot interaction) involved in deploying robots in a dynamic environment.

Published in	International Journal of Industrial and Manufacturing Systems Engineering (Volume 4, Issue 5)
DOI	10.11648/j.ijimse.20190405.11
Page(s)	48-53
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Robotics, Automation, Petroleum Industry Operations, Oil Spill, Pipe Inspection, Production Structure, Human-Robot Interaction

References

[1]	S. Stanvinoha, H. Chen, B. Zhang and T. Fuhlbrigge, “Challenges of robotics and automation in offshore oil and gas industry,” The 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, pp. 557-562, 2014.
[2]	A. A. David, E. Persson and C. Heyer, “Real-world demonstration of sensor-based robotic automation in oil and gas facilities,” 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 235-240, September, 2011.
[3]	T. McGee, “Geologic characteristics in the vicinity of the Deepwater Horizon oil spill,” 2010 IEEE/OES Baltic International Symposium (BALTIC), pp. 1-5, 2010.
[4]	A. Shukla and H. Karki, “A review of robotics in onshore oil-gas industry,” 2013 IEEE International Conference on Mechatronics and Automation, pp. 1155-1160, 2013.
[5]	H. Roman, B. A. Pellegrino and W. R. Sigrist, “Pipe crawling inspection robots: an overview,” IEEE Transaction on Energy Conversion, vol. 8, no. 3, pp. 576-583, 1993.
[6]	W. Leffler, R. Pattarozzi and G. Sterling, Deepwater Petroleum Exploration and Production: A nontechnical Guide, second ed., Oklahoma, USA: PennWell Books, 2011.
[7]	B. Solvang, Z. Deng and T. Lien, “A methodological framework for developing ROV-manipulator systems for underwater unmanned intervention,” Oceans 2001. MTS/IEEE Conference and Exhibition, vol. 2, pp. 1085-1091, 2001.
[8]	I. Tomoye, S. Hiroyoshi, I. Junya, M. Obiki and T. Kazuhiro, “Small-size ROV launched from underwater TV system for observation in scientific drillings,” 2015 IEEE OCEANS, Genova, pp. 1-5, 2015.
[9]	A. Shukla and H. Karki, “Application of robotics in offshore oil and gas industry-A review Part 2,” Robotics and Autonomous Systems, vol. 75, pp. 508-524, 2016.
[10]	O. Alyafei, “Well services operations in offshore unmanned platform: challenges and solutions,” International Petroleum Technology Conference, pp. 1-6, 2014.
[11]	A. Pinosofa, A. Ramirez, Y. Ravelo and O. Cruz, “Unmanned offshore platforms: Automation kit,” Society of Petroleum Engineers, pp. 1-6, 2010.
[12]	H. Peter, A. Hatem, R. Peter and B. Brett, “Monocular visual odometry for robot localization in LNG pipes,” 2011 IEEE International Conference on Robotics and Automation, pp. 3111-3116, 2011.
[13]	A. Shukla and H. Karki, “Application of robotics in onshore oil and gas industry-A review Part 1,” Robotics and Autonomous Systems, vol. 75, pp. 490-507, 2016.
[14]	D. Edwin and S. Stefano, “Basic maneuvers for an inspection robot for small diameter gas distribution mains,” 2011 IEEE International Conference on Robotics and Automation, pp. 3447-3448, 2011.
[15]	A. S. Abdulla, A. M. Khalil, A. A. Mohamed, H. Karki and S. Fok, “Localization of a submersible mobile inspection platform in an oil storage tank,” 7th IEEE International Symposium on Mechatronics and its Applications, pp. 1-6, 2010.
[16]	B. Zhiqiang, G. Yisheng, C. Shizhong, Z. Haifei and Z. Hong, “A miniature Biped Wall-Climbing Robot for Inspection of Magnetic Metal Surfaces,” 2012 IEEE International Conference on Robotics and Biomimetics, pp. 324-329, 2012.
[17]	C. Menon, M. Murphy and M. Sitti, “Gecko Inspired Surface Climbing Robots,” 2004 IEEE International Conference on Robotics and Biomimetics, pp. 431-436, 20014.
[18]	Y. Wang, S. Liu, D. Xu, Y. Zhao, H. Shao and X. Gao, “Development and application of wall-climbing robots,” 1999 IEEE International Conference on Robotics and Automation, vol. 2, pp. 1207-1212, 1999.
[19]	D. Weiguang, W. Hongguang, L. Zhenhui, J. Yong and X. Jizhong, “Development of a wall-climbing robot with biped-wheel hybrid locomotion,” 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2333-2338, 2013.
[20]	A. Oliveira, M. Silva and R. Barbosa, “Architecture of a wheeled climbing robot with dynamic adjustment of the adhesion system,” IEEE 8th International Symposium on intelligent Systems and Informatics, pp. 127-132, 2010.
[21]	M. Akhtaruzzaman, N. I. Samsuddin, N. Umar and M. Rahman, “Design and development of a wall climbing robot and its control system,” 2009 12th International Conference on Computers and Information Technology, pp. 309-313, 2009.
[22]	R. Aracil, R. Saltaren and O. Reinoso, “A climbing parallel robot: a robot to climb along tubular and metallic structures,” IEEE Robotics and Automation Magazine, vol. 13, no. 1, pp. 16-22, 2006.
[23]	F. Merv, The Basics of Oil Spill Cleanup, CRC Press, 2012.
[24]	M. Fingas, Oil Spill Science and Technology: Prevention, Response and Cleanup, Burlington, USA: Elsevier Inc., 2011.
[25]	P. Eriksen, “Leakage and oil spill detection utilising active acoustic system,” 2013 IEEE International Underwater Technology Symposium (UT), pp. 1-8, 2013.
[26]	F. Isamu and Y. Muneo, “An Onboard Air Conveyer Oil Skimmer,” OCEANS, pp. 1-6, 2015.
[27]	N. Barnea, “Use of in-situ burning as part of the oil spill response toolbox,” MTS/IEEE OCEANS, vol. 3, pp. 1457-1462, 1999.
[28]	M. Pashna, R. Yusof and S. Yazdani, “Analysis of prediction methods for swarm robotic - in the case of oil spill tracking,” 2015 IEEE Asian Control Conference, pp. 1-5, 2015.
[29]	N. Kakalis and Y. Ventikos, “Robotic swarm concept for efficient oil spill confrontation,” Elsevier Journal of Hazardous Materials, vol. 154, pp. 880-887, 2008.
[30]	V. T. L. Groom, P. Ochi and C. Nass, “I Am My Robot: The Impact of Robot-building and Robot Form on Operators,” 2009 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 11-16, 2009.
[31]	P. Hinds, T. Roberts and H. Jones, “Whose job is it anyway? a study of human-robot interaction in a collaborative task,” Human Computer Interaction, vol. 19, no. 1, pp. 151-181, 2004.
[32]	S. Stanvinoha, H. Chen, B. Zhang and T. Fuhlbrigge, “Exploring robotic applications in offshore oil and gas industry,” The 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, pp. 557-562, 2014.
[33]	World Nuclear Association, “Uranium, Electricity and Climate Change,” December 2012. [Online]. Available: http://www.world-nuclear.org/information-library/energy-and-the-environment/uranium,-electricity-and-climate-change.aspx. [Accessed 25 April 2018].
[34]	M. W. Thomas, R. S. Sutton and P. J. Werbos, “Applications of Neural Networks in Robotics and Automation for Manufacturing,” IEEE Journal, pp. 365-385, 1995.
[35]	H. Chen, W. Eakins, J. Wang, G. Zhang and T. Fuhlbrigge, “Robotic wheel loading process in automotive manufacturing automation,” in 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, St. Louis, USA, 2009.
[36]	H. Clint, “Human-robot interaction and future industrial robotics applications,” 2010 IEEE/RJS International Conference on Intelligent Robots and Systems, pp. 4749-4754, 2010.
[37]	T. Wu, S. Lu and Y. Tang, “An in-pipe internal defects inspection system based on the active stereo omnidirectional vision sensor,” 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), pp. 2637-2641, 2015.
[38]	I. Megumi, N. Taro and M. Dai, “Development of an in-pipe inspection robot for narrow pipes and elbows using pneumatic artificial muscles,” 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 926-931, 2012.
[39]	M. Mehran, H. Najjaran, R. Paranjape and S. Poozesh, “Dynamic analysis and control of a robotic pipe crawler,” 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 4182-4182, 2008.
[40]	H. Schempf, B. Chemel and N. Everett, “Neptune: above-ground storage tank inspection robot system,” IEEE Robotics and Automation Magazine, vol. 2, no. 2, pp. 9-15, 1995.
[41]	F. Carvalho, A. Raposo, I. Santos and M. Galassi, “Virtual reality techniques for planning the offshore robotizing,” 2014 12th IEEE Conference on Industrial Informatics, pp. 353-358, 2014.
[42]	L. Martin, S. Fredrik, K. Aasly, E. Steinar, M. Zylstra and M. Pardey, “ROV based drilling for deep sea mining exploration,” Oceans 2017, Aberdeen, pp. 1-6, 2017.
[43]	K. Clayton, M. Chris, C. Richard, S. Hanumant, B. John, E. Ryan, J. Michael, N. Ko-ichi, R. Chris, S. Taichi, S. A. Robert and W. Claire, “Deep sea underwater robotic exploration in the ice-covered Arctic ocean with AUVs,” 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3654-3660, 2008.
[44]	C. J. Maria, P. Goncalves, A. Martins and E. Silva, “Vision-based assisted teleoperation for inspection tasks with a small ROV,” 2012 IEEE Oceans, pp. 1-8, 2012.

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APA Style

Hope Okoro, Dagogo Godwin Orifama. (2019). Robotization of Operations in the Petroleum Industry. International Journal of Industrial and Manufacturing Systems Engineering, 4(5), 48-53. https://doi.org/10.11648/j.ijimse.20190405.11

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ACS Style

Hope Okoro; Dagogo Godwin Orifama. Robotization of Operations in the Petroleum Industry. Int. J. Ind. Manuf. Syst. Eng. 2019, 4(5), 48-53. doi: 10.11648/j.ijimse.20190405.11

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AMA Style

Hope Okoro, Dagogo Godwin Orifama. Robotization of Operations in the Petroleum Industry. Int J Ind Manuf Syst Eng. 2019;4(5):48-53. doi: 10.11648/j.ijimse.20190405.11

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@article{10.11648/j.ijimse.20190405.11,
  author = {Hope Okoro and Dagogo Godwin Orifama},
  title = {Robotization of Operations in the Petroleum Industry},
  journal = {International Journal of Industrial and Manufacturing Systems Engineering},
  volume = {4},
  number = {5},
  pages = {48-53},
  doi = {10.11648/j.ijimse.20190405.11},
  url = {https://doi.org/10.11648/j.ijimse.20190405.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijimse.20190405.11},
  abstract = {As the petroleum industry ventures into deep and ultra-deep waters in pursuit for increased oil production to meet the global energy demand, challenges of personnel health and safety and environmental pollution have gained a considerable amount of attention. One notable accident that has sparked this attention is the explosion of the Deepwater Horizon offshore petroleum platform that led to the spillage of oil into the water bodies. In tackling these challenges and preventing the reoccurrence of such accidents, the application of robotic automation in these environments, adjudged to be hostile and prone to high level of risk, provides the only option for safe and cost-effective operations. With the success of robotic automation in the manufacturing and aerospace industries, the oil and gas industry aim to take the advantages of increased reliability, accuracy and efficiency provided by robotics and automation technologies in improving operations and production both onshore and offshore and limiting the exposure of human workers to explosive and harsh onshore and offshore environments. In recent times, robotic technologies such as remotely operated vehicles (ROVs), autonomous underwater vehicles (AUVs), underwater welding robots and teleoperated unmanned production platforms have been deployed to facilitate smooth operation and production in ultra-deep waters. Thus, this paper investigates some of the various onshore and offshore operations such as exploration, tank and pipe inspection that require automation, the application of robotics and automation technologies to these operations, and the challenges and issues (such as human-robot interaction) involved in deploying robots in a dynamic environment.},
 year = {2019}
}

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TY  - JOUR
T1  - Robotization of Operations in the Petroleum Industry
AU  - Hope Okoro
AU  - Dagogo Godwin Orifama
Y1  - 2019/10/31
PY  - 2019
N1  - https://doi.org/10.11648/j.ijimse.20190405.11
DO  - 10.11648/j.ijimse.20190405.11
T2  - International Journal of Industrial and Manufacturing Systems Engineering
JF  - International Journal of Industrial and Manufacturing Systems Engineering
JO  - International Journal of Industrial and Manufacturing Systems Engineering
SP  - 48
EP  - 53
PB  - Science Publishing Group
SN  - 2575-3142
UR  - https://doi.org/10.11648/j.ijimse.20190405.11
AB  - As the petroleum industry ventures into deep and ultra-deep waters in pursuit for increased oil production to meet the global energy demand, challenges of personnel health and safety and environmental pollution have gained a considerable amount of attention. One notable accident that has sparked this attention is the explosion of the Deepwater Horizon offshore petroleum platform that led to the spillage of oil into the water bodies. In tackling these challenges and preventing the reoccurrence of such accidents, the application of robotic automation in these environments, adjudged to be hostile and prone to high level of risk, provides the only option for safe and cost-effective operations. With the success of robotic automation in the manufacturing and aerospace industries, the oil and gas industry aim to take the advantages of increased reliability, accuracy and efficiency provided by robotics and automation technologies in improving operations and production both onshore and offshore and limiting the exposure of human workers to explosive and harsh onshore and offshore environments. In recent times, robotic technologies such as remotely operated vehicles (ROVs), autonomous underwater vehicles (AUVs), underwater welding robots and teleoperated unmanned production platforms have been deployed to facilitate smooth operation and production in ultra-deep waters. Thus, this paper investigates some of the various onshore and offshore operations such as exploration, tank and pipe inspection that require automation, the application of robotics and automation technologies to these operations, and the challenges and issues (such as human-robot interaction) involved in deploying robots in a dynamic environment.
VL  - 4
IS  - 5
ER  -

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Author Information

Hope Okoro

Department of Electrical and Electronic Engineering, University of Leeds, Leeds, United Kingdom
Dagogo Godwin Orifama

Department of Electrical and Electronic Engineering, University of Leeds, Leeds, United Kingdom

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APA Style

Hope Okoro, Dagogo Godwin Orifama. (2019). Robotization of Operations in the Petroleum Industry. International Journal of Industrial and Manufacturing Systems Engineering, 4(5), 48-53. https://doi.org/10.11648/j.ijimse.20190405.11

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ACS Style

Hope Okoro; Dagogo Godwin Orifama. Robotization of Operations in the Petroleum Industry. Int. J. Ind. Manuf. Syst. Eng. 2019, 4(5), 48-53. doi: 10.11648/j.ijimse.20190405.11

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AMA Style

Hope Okoro, Dagogo Godwin Orifama. Robotization of Operations in the Petroleum Industry. Int J Ind Manuf Syst Eng. 2019;4(5):48-53. doi: 10.11648/j.ijimse.20190405.11

Copy | Download

@article{10.11648/j.ijimse.20190405.11,
  author = {Hope Okoro and Dagogo Godwin Orifama},
  title = {Robotization of Operations in the Petroleum Industry},
  journal = {International Journal of Industrial and Manufacturing Systems Engineering},
  volume = {4},
  number = {5},
  pages = {48-53},
  doi = {10.11648/j.ijimse.20190405.11},
  url = {https://doi.org/10.11648/j.ijimse.20190405.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijimse.20190405.11},
  abstract = {As the petroleum industry ventures into deep and ultra-deep waters in pursuit for increased oil production to meet the global energy demand, challenges of personnel health and safety and environmental pollution have gained a considerable amount of attention. One notable accident that has sparked this attention is the explosion of the Deepwater Horizon offshore petroleum platform that led to the spillage of oil into the water bodies. In tackling these challenges and preventing the reoccurrence of such accidents, the application of robotic automation in these environments, adjudged to be hostile and prone to high level of risk, provides the only option for safe and cost-effective operations. With the success of robotic automation in the manufacturing and aerospace industries, the oil and gas industry aim to take the advantages of increased reliability, accuracy and efficiency provided by robotics and automation technologies in improving operations and production both onshore and offshore and limiting the exposure of human workers to explosive and harsh onshore and offshore environments. In recent times, robotic technologies such as remotely operated vehicles (ROVs), autonomous underwater vehicles (AUVs), underwater welding robots and teleoperated unmanned production platforms have been deployed to facilitate smooth operation and production in ultra-deep waters. Thus, this paper investigates some of the various onshore and offshore operations such as exploration, tank and pipe inspection that require automation, the application of robotics and automation technologies to these operations, and the challenges and issues (such as human-robot interaction) involved in deploying robots in a dynamic environment.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Robotization of Operations in the Petroleum Industry
AU  - Hope Okoro
AU  - Dagogo Godwin Orifama
Y1  - 2019/10/31
PY  - 2019
N1  - https://doi.org/10.11648/j.ijimse.20190405.11
DO  - 10.11648/j.ijimse.20190405.11
T2  - International Journal of Industrial and Manufacturing Systems Engineering
JF  - International Journal of Industrial and Manufacturing Systems Engineering
JO  - International Journal of Industrial and Manufacturing Systems Engineering
SP  - 48
EP  - 53
PB  - Science Publishing Group
SN  - 2575-3142
UR  - https://doi.org/10.11648/j.ijimse.20190405.11
AB  - As the petroleum industry ventures into deep and ultra-deep waters in pursuit for increased oil production to meet the global energy demand, challenges of personnel health and safety and environmental pollution have gained a considerable amount of attention. One notable accident that has sparked this attention is the explosion of the Deepwater Horizon offshore petroleum platform that led to the spillage of oil into the water bodies. In tackling these challenges and preventing the reoccurrence of such accidents, the application of robotic automation in these environments, adjudged to be hostile and prone to high level of risk, provides the only option for safe and cost-effective operations. With the success of robotic automation in the manufacturing and aerospace industries, the oil and gas industry aim to take the advantages of increased reliability, accuracy and efficiency provided by robotics and automation technologies in improving operations and production both onshore and offshore and limiting the exposure of human workers to explosive and harsh onshore and offshore environments. In recent times, robotic technologies such as remotely operated vehicles (ROVs), autonomous underwater vehicles (AUVs), underwater welding robots and teleoperated unmanned production platforms have been deployed to facilitate smooth operation and production in ultra-deep waters. Thus, this paper investigates some of the various onshore and offshore operations such as exploration, tank and pipe inspection that require automation, the application of robotics and automation technologies to these operations, and the challenges and issues (such as human-robot interaction) involved in deploying robots in a dynamic environment.
VL  - 4
IS  - 5
ER  -

Copy | Download