Título: | GEOMECHANICAL MODEL APPLIED TO THE STABILITY ANALYSIS OF WELLS WITH ENPHASIS ON SHALES | ||||||||||||
Autor: |
SANDRA MILENA ROSERO ARGOTE |
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Colaborador(es): |
SERGIO AUGUSTO BARRETO DA FONTOURA - Orientador |
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Catalogação: | 02/AGO/2013 | 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=21833&idi=1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=21833&idi=2 |
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DOI: | https://doi.org/10.17771/PUCRio.acad.21833 | ||||||||||||
Resumo: | |||||||||||||
Facing the increasing complexity of scenarios for oil exploration, the conventional stability analysis became insufficient to determine the actual condition of the wells. Aware of these limitations, the oil industry has been applying new methods such as the geomechanical model named Mechanical Earth Model – MEM, which has been applied on the prediction of wellbore stability and drilling risks mitigation. In this sense, this work presents a methodology for estimating the wellbore stability conditions of wells with special emphasis on shale formations, through the identification and assessment of events which indicate geomechanical instability during drilling. These data are available from daily drilling reports and electric logs. Well Stability problems are responsible for most non-productive time, and consequently, the extra drilling costs. Therefore, the study and understanding of these problems contribute to the drilling optimization, thus improving the practices or mitigating the effects of severe abnormalities.
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