2022
DOI: 10.1016/j.compchemeng.2022.107910
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Formulations for automatic optimization of decommissioning timing in offshore oil and gas field development planning

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Cited by 9 publications
(7 citation statements)
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“…The decommissioning works are also known to be unique, and currently, there is no universal standard practice to address the decommissioning works [40] fully. According to estimates, the cost of decommissioning wells, platforms, and pipelines in Australian water will be $40.5 billion by 2050 [59]. Decommissioning work for pipelines is relatively cheaper compared to the decommissioning of oil and gas platforms, where it involves the removal of large and complex residues.…”
Section: Potential Economic Impactmentioning
confidence: 99%
“…The decommissioning works are also known to be unique, and currently, there is no universal standard practice to address the decommissioning works [40] fully. According to estimates, the cost of decommissioning wells, platforms, and pipelines in Australian water will be $40.5 billion by 2050 [59]. Decommissioning work for pipelines is relatively cheaper compared to the decommissioning of oil and gas platforms, where it involves the removal of large and complex residues.…”
Section: Potential Economic Impactmentioning
confidence: 99%
“…Most major oil and gas industries planned to produce for 20 to 30 years or more (Lei et al, 2022). In general, currently, several oil and gas production facilities are facing the problem of production decreasing, especially in mature production wells (Bakker et al, 2021).…”
Section: Pendahuluanmentioning
confidence: 99%
“…LP consists of 3 (three) basic components, which are decision variables, objectives, and constraints. A mathematical programming formulation has been developed to optimize the production and the model is tested on a real field (Lei et al, 2022). The objective function of linear programming represents the quantity that needs to be maximized, minimized, or set at a certain value.…”
mentioning
confidence: 99%
“…Previous work reduces the risk of geological uncertainty and increases the return on the drilling program [ 17 , 18 ]. However, their optimal solution is to maximize the value of the remaining reservoir in the shortest possible time, rather than focusing on the proper sequence of drilling to ensure the target production [ 19 , 20 ] developed a model based on a genetic algorithm and a reservoir simulator for optimal drilling scheduling [ 21 ].…”
Section: Introductionmentioning
confidence: 99%