Reserves, well drilling and production: Assessing the optimal trajectory of oil extraction for Brazil
Joana Duarte Ouro Alves and
Weslem Rodrigues Faria
Resources Policy, 2024, vol. 88, issue C
Abstract:
The global energy matrix is in transition, leading to expectations of a reduction in fossil sources in the coming years. Brazil has substantial oil reserves but has not yet considered optimization strategies for extracting these resources. The research proposed the calibration of a Hotelling model adapted for Brazil, with a focus on maximizing the economic return from extracting reserves. We employed optimization methods to calculate the ideal annual rates of oil drilling and production in Brazil. We also assess the sensitivity of these rates to changes in oil prices, well drilling costs, discount rates, and technical progress, according to the characteristics of the reserves. The results indicate that optimal onshore production would continue to decrease in the coming years, while offshore production may be nearing its peak. Assuming higher oil prices, offshore production is expected to increase over the next five years and decline thereafter.
Keywords: Brazilian oil reserves; Hotelling model; Optimal extraction paths; Dynamic optimization (search for similar items in EconPapers)
JEL-codes: Q32 Q35 Q38 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0301420723010528
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jrpoli:v:88:y:2024:i:c:s0301420723010528
DOI: 10.1016/j.resourpol.2023.104341
Access Statistics for this article
Resources Policy is currently edited by R. G. Eggert
More articles in Resources Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().