Estimating oil and gas well life cycle using machine learning
Estimating oil and gas well life cycle using machine learning
批准号:
567562-2021
负责人:
Lucet, Yves
金额:
$5.83万
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2021
资助国家:
加拿大
项目状态:
已结题
起止时间:
2021-01-01 至 2022-12-31
中文摘要
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英文摘要
Globally, Canada is the 4th largest producer of oil and gas combined with oil and gas representing 5.6% of Canada's GDP. British Columbia is the 2nd largest producer of those energies in Canada after Alberta. The BC oil and gas commission (BCOGC) purpose is to regulate oil and gas activities to provide for a sound development. It reviews applications for permits to ensure they are in the public best interest by considering the impact on the economy, the environment, Indigenous Nations, forestry, and archaeology. The present project focuses on predicting when oil and gas wells will become inactive (due to decreased production, depleted reserves, depressed pricing, interruptions to transportation systems, or excess production of water) to plan the restoration of the site. Being able to project the rate of restoration over a longer term will both improve risk forecasting and the ability of the Commission to estimate the future cumulative effects of oil and gas activity. Legislation enforces timelines to shutdown dormant sites, and BCOGC dormancy and shutdown regulation aims at restoring 10,000 to 11,000 dormant sites by 2036. Moreover, when a site owners is no longer available, e.g. due to bankruptcy, site restoration costs falls on the province (over the past 5 years, around 700 sites were designated as orphan in BC). At this time, BCOGC can project when site restoration will be required for all dormant sites up to 2023, but cannot predict when currently active sites will become dormant. Leveraging BCOGC decades of data with UBC expertise in machine learning and optimization, the project aims to create new predictive models that are explainable, interpretable, and fair while maintaining an acceptable degree of accuracy. A critical objective is for all stakeholders (BCOGC managers, Indigenous communities, oil and gas operators) to understand the model predictions and its limitations. The short term goal is to better manage the province environmental debt by predicting wells life cycles when a permit application is submitted. The longer term goal is to reduce the province financial risk by predicting the number of orphaned wells. Such predictions will allow BCOGC to better manage the province financial debt associated with orphan wells.#(cr)#(lf)Le Canada est le quatrième plus gros producteur de pétrole et de gaz qui représentent 5.6% de son PIB. La Colombie-Britannique est le deuxième producteur de ces énergies au Canada après l'Alberta. L'objectif de la BC Oil and Gas Commission (BCOGC) est de réglementer les activités pétrolières et gazières. La commission examine les demandes de permis en tenant compte de leur impact sur l'économie, l'environnement, les nations autochtones, la forêt et l'archéologie. L'objectif du présent projet est de prédire le moment où les puits de pétrole et de gaz deviendront inactifs pour planifier la restauration du site. Pouvoir projeter le taux de restauration à plus long terme améliorera à la fois la prévision des risques et la capacité de la Commission à estimer les effets cumulatifs futurs de l'activité pétrolière et gazière. La législation impose des délais pour fermer les sites dormants, et la réglementation de la BCOGC sur la dormance et la fermeture vise à restaurer 10 000 à 11 000 sites dormants d'ici 2036. De plus, lorsqu'un propriétaire de site n'est plus disponible, e.g. en faillite, les coûts de restauration des sites incombent à la province (au cours des 5 dernières années, environ 700 sites ont été désignés comme orphelins en Colombie-Britannique). À l'heure actuelle, le BCOGC peut prévoir quand la restauration du site sera nécessaire pour tous les sites dormants jusqu'en 2023, mais ne peut pas prédire quand les sites actuellement actifs deviendront dormants. Tirant parti des décennies de données du BCOGC et de l'expertise de UBC en apprentissage automatique et en optimisation, le projet vise à créer de nouveaux modèles prédictifs explicables, interprétables et équitables tout en mainte
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批准号:RGPIN-2018-03928
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项目类别:Discovery Grants Program - Individual
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资助金额:$2.99万
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财政年份:2022
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负责人:Lucet, Yves
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依托单位:
Computer-Aided Nonsmooth Analysis and Applications
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批准号:RGPIN-2018-03928
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项目类别:Discovery Grants Program - Individual
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资助金额:$2.99万
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负责人:Lucet, Yves
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项目类别:Collaborative Research and Development Grants
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财政年份:2020
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负责人:Lucet, Yves
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依托单位:
Computer-Aided Nonsmooth Analysis and Applications
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批准号:RGPIN-2018-03928
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项目类别:Discovery Grants Program - Individual
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资助金额:$2.99万
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财政年份:2020
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负责人:Lucet, Yves
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依托单位:
Advanced optimization methods for road construction
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批准号:479316-2015
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项目类别:Collaborative Research and Development Grants
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资助金额:$1.79万
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财政年份:2019
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负责人:Lucet, Yves
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依托单位:
Computer-Aided Nonsmooth Analysis and Applications
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批准号:RGPIN-2018-03928
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项目类别:Discovery Grants Program - Individual
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资助金额:$2.99万
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财政年份:2019
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负责人:Lucet, Yves
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依托单位:
Advanced optimization methods for road construction
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批准号:479316-2015
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项目类别:Collaborative Research and Development Grants
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资助金额:$6.2万
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财政年份:2018
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负责人:Lucet, Yves
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依托单位:
Computer-Aided Nonsmooth Analysis and Applications
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批准号:RGPIN-2018-03928
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项目类别:Discovery Grants Program - Individual
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资助金额:$2.99万
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财政年份:2018
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负责人:Lucet, Yves
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依托单位:
Data science collaborative research & development workshop
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批准号:508581-2017
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项目类别:Connect Grants Level 2
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资助金额:$0.21万
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财政年份:2017
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负责人:Lucet, Yves
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依托单位:
Advanced optimization methods for road construction
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批准号:479316-2015
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项目类别:Collaborative Research and Development Grants
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资助金额:$2.55万
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财政年份:2017
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负责人:Lucet, Yves
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依托单位:
Computer-Aided Nonsmooth Analysis and Applications
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批准号:298145-2013
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.46万
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财政年份:2017
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负责人:Lucet, Yves
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依托单位:
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批准号:501183-2016
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资助金额:$1.82万
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财政年份:2016
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依托单位:
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批准号:479316-2015
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项目类别:Collaborative Research and Development Grants
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资助金额:$2.7万
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财政年份:2016
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负责人:Lucet, Yves
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依托单位:
Advanced optimization methods for road construction
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批准号:479316-2015
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项目类别:Collaborative Research and Development Grants
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资助金额:$2.44万
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财政年份:2015
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负责人:Lucet, Yves
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依托单位:
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批准号:488307-2015
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项目类别:Interaction Grants Program
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资助金额:$0.22万
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财政年份:2015
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负责人:Lucet, Yves
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依托单位:
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批准号:298145-2013
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.46万
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财政年份:2015
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负责人:Lucet, Yves
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依托单位:
Extending multiple choice questions for instructor-authored mobile practice application
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批准号:485394-2015
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项目类别:Engage Grants Program
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资助金额:$1.82万
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财政年份:2015
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负责人:Lucet, Yves
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依托单位:
Advanced Optimization Methods for Road Construction
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批准号:411318-2010
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项目类别:Collaborative Research and Development Grants
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资助金额:$1.75万
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财政年份:2014
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负责人:Lucet, Yves
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依托单位:
Computer-Aided Nonsmooth Analysis and Applications
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批准号:298145-2013
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.46万
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财政年份:2014
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负责人:Lucet, Yves
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依托单位:
Advanced Optimization Methods for Road Construction
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批准号:411318-2010
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项目类别:Collaborative Research and Development Grants
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资助金额:$1.75万
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财政年份:2013
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负责人:Lucet, Yves
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依托单位:
国内基金
海外基金
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批准号:LTGS23E030002
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项目类别:省市级项目
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资助金额:--
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负责人:王华金
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依托单位:
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依托单位: