A human-computer hybrid approach to offshore field development: Combining virtual reality aided design with stochastic optimization

Mohammed Almedallah, Stuart Walsh, Tsan Hou Lau

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

1 Citation (Scopus)

Abstract

Offshore oil and gas field developments are capital-intensive projects that require extensive facilities to drill, produce and transport the hydrocarbon from the reservoir to the processing plant. Determining the site, number and size of these facilities are amongst the most important decisions impacting a project's success. Here, we present a novel strategy to assist in these decisions by combining a stochastic optimization routine with a Virtual Reality (VR) Aided Design. The model uses a discrete-network optimization algorithm that employs a Monte Carlo Markov chain to explore feasible configurations that minimize the development's investment. It integrates the optimization with a state-of-the-art VR environment to allow the engineer to both monitor the progress of the optimization and help guide the field development in real time. We present results illustrating how the approach can be employed in field developments to connect well targets to processing facilities. The model determines the optimum location, size and number of offshore well-head platforms, tie-in facilities, well paths and pipeline routes. It incorporates critical technical considerations for the design of drilling paths (e.g. Dog leg severity) and surface facilities (e.g. water depth). The model has been applied to real data from offshore field developments in the North Sea and the Gulf of Mexico. Results including the investment value and optimum configuration are shown and supplemented with graphics from the VR environment. The VR technology enables a novel approach to optimize the development. The immersive platform lets the user not only visualize the field, it is also capable of providing real-time interaction with the computer-generated design. This allows the integration of engineering intuition and experience to enhance the development and eliminate infeasible or unfavorable configurations.

Original languageEnglish
Title of host publicationSPE Asia Pacific Oil and Gas Conference and Exhibition
Subtitle of host publication23-25 October, Brisbane, Australia 2018
EditorsChris Mijnssen
Place of PublicationRichardson Texas USA
PublisherSociety of Petroleum Engineers
Number of pages18
ISBN (Electronic)9781613995952
DOIs
Publication statusPublished - 1 Jan 2018
EventSPE Asia Pacific Oil and Gas Conference and Exhibition 2018, APOGCE 2018 - Brisbane, Australia
Duration: 23 Oct 201825 Oct 2018

Publication series

NameSociety of Petroleum Engineers - SPE Asia Pacific Oil and Gas Conference and Exhibition 2018, APOGCE 2018

Conference

ConferenceSPE Asia Pacific Oil and Gas Conference and Exhibition 2018, APOGCE 2018
CountryAustralia
CityBrisbane
Period23/10/1825/10/18

Cite this

Almedallah, M., Walsh, S., & Lau, T. H. (2018). A human-computer hybrid approach to offshore field development: Combining virtual reality aided design with stochastic optimization. In C. Mijnssen (Ed.), SPE Asia Pacific Oil and Gas Conference and Exhibition: 23-25 October, Brisbane, Australia 2018 [SPE-192072-MS] (Society of Petroleum Engineers - SPE Asia Pacific Oil and Gas Conference and Exhibition 2018, APOGCE 2018). Richardson Texas USA: Society of Petroleum Engineers. https://doi.org/10.2118/192072-MS
Almedallah, Mohammed ; Walsh, Stuart ; Lau, Tsan Hou. / A human-computer hybrid approach to offshore field development : Combining virtual reality aided design with stochastic optimization. SPE Asia Pacific Oil and Gas Conference and Exhibition: 23-25 October, Brisbane, Australia 2018. editor / Chris Mijnssen. Richardson Texas USA : Society of Petroleum Engineers, 2018. (Society of Petroleum Engineers - SPE Asia Pacific Oil and Gas Conference and Exhibition 2018, APOGCE 2018).
@inproceedings{e5731c9498c34e3f960bb32ba54e1acc,
title = "A human-computer hybrid approach to offshore field development: Combining virtual reality aided design with stochastic optimization",
abstract = "Offshore oil and gas field developments are capital-intensive projects that require extensive facilities to drill, produce and transport the hydrocarbon from the reservoir to the processing plant. Determining the site, number and size of these facilities are amongst the most important decisions impacting a project's success. Here, we present a novel strategy to assist in these decisions by combining a stochastic optimization routine with a Virtual Reality (VR) Aided Design. The model uses a discrete-network optimization algorithm that employs a Monte Carlo Markov chain to explore feasible configurations that minimize the development's investment. It integrates the optimization with a state-of-the-art VR environment to allow the engineer to both monitor the progress of the optimization and help guide the field development in real time. We present results illustrating how the approach can be employed in field developments to connect well targets to processing facilities. The model determines the optimum location, size and number of offshore well-head platforms, tie-in facilities, well paths and pipeline routes. It incorporates critical technical considerations for the design of drilling paths (e.g. Dog leg severity) and surface facilities (e.g. water depth). The model has been applied to real data from offshore field developments in the North Sea and the Gulf of Mexico. Results including the investment value and optimum configuration are shown and supplemented with graphics from the VR environment. The VR technology enables a novel approach to optimize the development. The immersive platform lets the user not only visualize the field, it is also capable of providing real-time interaction with the computer-generated design. This allows the integration of engineering intuition and experience to enhance the development and eliminate infeasible or unfavorable configurations.",
author = "Mohammed Almedallah and Stuart Walsh and Lau, {Tsan Hou}",
year = "2018",
month = "1",
day = "1",
doi = "10.2118/192072-MS",
language = "English",
series = "Society of Petroleum Engineers - SPE Asia Pacific Oil and Gas Conference and Exhibition 2018, APOGCE 2018",
publisher = "Society of Petroleum Engineers",
editor = "Chris Mijnssen",
booktitle = "SPE Asia Pacific Oil and Gas Conference and Exhibition",

}

Almedallah, M, Walsh, S & Lau, TH 2018, A human-computer hybrid approach to offshore field development: Combining virtual reality aided design with stochastic optimization. in C Mijnssen (ed.), SPE Asia Pacific Oil and Gas Conference and Exhibition: 23-25 October, Brisbane, Australia 2018., SPE-192072-MS, Society of Petroleum Engineers - SPE Asia Pacific Oil and Gas Conference and Exhibition 2018, APOGCE 2018, Society of Petroleum Engineers, Richardson Texas USA, SPE Asia Pacific Oil and Gas Conference and Exhibition 2018, APOGCE 2018, Brisbane, Australia, 23/10/18. https://doi.org/10.2118/192072-MS

A human-computer hybrid approach to offshore field development : Combining virtual reality aided design with stochastic optimization. / Almedallah, Mohammed; Walsh, Stuart; Lau, Tsan Hou.

SPE Asia Pacific Oil and Gas Conference and Exhibition: 23-25 October, Brisbane, Australia 2018. ed. / Chris Mijnssen. Richardson Texas USA : Society of Petroleum Engineers, 2018. SPE-192072-MS (Society of Petroleum Engineers - SPE Asia Pacific Oil and Gas Conference and Exhibition 2018, APOGCE 2018).

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

TY - GEN

T1 - A human-computer hybrid approach to offshore field development

T2 - Combining virtual reality aided design with stochastic optimization

AU - Almedallah, Mohammed

AU - Walsh, Stuart

AU - Lau, Tsan Hou

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Offshore oil and gas field developments are capital-intensive projects that require extensive facilities to drill, produce and transport the hydrocarbon from the reservoir to the processing plant. Determining the site, number and size of these facilities are amongst the most important decisions impacting a project's success. Here, we present a novel strategy to assist in these decisions by combining a stochastic optimization routine with a Virtual Reality (VR) Aided Design. The model uses a discrete-network optimization algorithm that employs a Monte Carlo Markov chain to explore feasible configurations that minimize the development's investment. It integrates the optimization with a state-of-the-art VR environment to allow the engineer to both monitor the progress of the optimization and help guide the field development in real time. We present results illustrating how the approach can be employed in field developments to connect well targets to processing facilities. The model determines the optimum location, size and number of offshore well-head platforms, tie-in facilities, well paths and pipeline routes. It incorporates critical technical considerations for the design of drilling paths (e.g. Dog leg severity) and surface facilities (e.g. water depth). The model has been applied to real data from offshore field developments in the North Sea and the Gulf of Mexico. Results including the investment value and optimum configuration are shown and supplemented with graphics from the VR environment. The VR technology enables a novel approach to optimize the development. The immersive platform lets the user not only visualize the field, it is also capable of providing real-time interaction with the computer-generated design. This allows the integration of engineering intuition and experience to enhance the development and eliminate infeasible or unfavorable configurations.

AB - Offshore oil and gas field developments are capital-intensive projects that require extensive facilities to drill, produce and transport the hydrocarbon from the reservoir to the processing plant. Determining the site, number and size of these facilities are amongst the most important decisions impacting a project's success. Here, we present a novel strategy to assist in these decisions by combining a stochastic optimization routine with a Virtual Reality (VR) Aided Design. The model uses a discrete-network optimization algorithm that employs a Monte Carlo Markov chain to explore feasible configurations that minimize the development's investment. It integrates the optimization with a state-of-the-art VR environment to allow the engineer to both monitor the progress of the optimization and help guide the field development in real time. We present results illustrating how the approach can be employed in field developments to connect well targets to processing facilities. The model determines the optimum location, size and number of offshore well-head platforms, tie-in facilities, well paths and pipeline routes. It incorporates critical technical considerations for the design of drilling paths (e.g. Dog leg severity) and surface facilities (e.g. water depth). The model has been applied to real data from offshore field developments in the North Sea and the Gulf of Mexico. Results including the investment value and optimum configuration are shown and supplemented with graphics from the VR environment. The VR technology enables a novel approach to optimize the development. The immersive platform lets the user not only visualize the field, it is also capable of providing real-time interaction with the computer-generated design. This allows the integration of engineering intuition and experience to enhance the development and eliminate infeasible or unfavorable configurations.

UR - http://www.scopus.com/inward/record.url?scp=85059959926&partnerID=8YFLogxK

U2 - 10.2118/192072-MS

DO - 10.2118/192072-MS

M3 - Conference Paper

T3 - Society of Petroleum Engineers - SPE Asia Pacific Oil and Gas Conference and Exhibition 2018, APOGCE 2018

BT - SPE Asia Pacific Oil and Gas Conference and Exhibition

A2 - Mijnssen, Chris

PB - Society of Petroleum Engineers

CY - Richardson Texas USA

ER -

Almedallah M, Walsh S, Lau TH. A human-computer hybrid approach to offshore field development: Combining virtual reality aided design with stochastic optimization. In Mijnssen C, editor, SPE Asia Pacific Oil and Gas Conference and Exhibition: 23-25 October, Brisbane, Australia 2018. Richardson Texas USA: Society of Petroleum Engineers. 2018. SPE-192072-MS. (Society of Petroleum Engineers - SPE Asia Pacific Oil and Gas Conference and Exhibition 2018, APOGCE 2018). https://doi.org/10.2118/192072-MS