Título: | PROBABILISTIC EVALUATION OF OIL AND GAS RESERVES CONSIDERING THE EFFECT OF CHANGE IN THE OIL PRICE | |||||||
Autor: |
LIVIA HASTENREITER |
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Colaborador(es): |
SILVIO HAMACHER - Orientador |
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Catalogação: | 26/MAI/2014 | Língua(s): | PORTUGUESE - BRAZIL |
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Tipo: | TEXT | Subtipo: | THESIS | |||||
Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
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Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=23003&idi=1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=23003&idi=2 |
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DOI: | https://doi.org/10.17771/PUCRio.acad.23003 | |||||||
Resumo: | ||||||||
This study presents a probabilistic methodology for estimating oil and gas
reserves. The methodology takes into account the uncertainties of important
variables present in the economic evaluation of reserves, such as oil and gas
production, prices, and operational costs. In addition, this research seeks to
understand the impact of oil price variations on the cost behavior in the long term.
The dependence relationship between price and cost is also considered in the
proposed reserves estimation methodology. A system has been designed in order
to apply the methodology, allowing the verification and analysis of the results in a
case study with real data from an oil field. The results show the importance of
evaluating and quantifying the uncertainties in the economic assessment of the
reserves, as well as the need to consider the effect of oil price changes in
operational costs. This research proposes, therefore, an alternative to estimating
reserves, according to a probabilistic approach, which can significantly impact the
volume of oil and gas economically recoverable to be disclosed by an oil
company.
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