Análise do Energia Mecânica Específica para Otimização da Taxa de Penetração em Perfurações de Poços
Resumo
Texto completo:
DOI 10.29327/2405740.12.1-8Referências
BARBOSA, Luís Felipe FM et al. Machine learning methods applied to drilling rate of penetration prediction and optimization-A review. Journal of Petroleum Science and Engineering, v. 183, p. 106332, 2019.
CAICEDO, Hector U.; CALHOUN, William M.; EWY, Russ T. Unique ROP predictor using bit-specific coefficient of sliding friction and mechanical efficiency as a function of confined compressive strength impacts drilling performance. In: SPE/IADC Drilling Conference and Exhibition. SPE, 2005. p. SPE-92576-MS.
CHEN, Xuyue et al. Real-time prediction and optimization of drilling performance based on a new mechanical specific energy model. Arabian Journal for Science and Engineering, v. 39, p. 8221-8231, 2014.
DA SILVA, CRISTIANE FERNANDES. Análise geomecânica dos carbonatos do pré-sal da Bacia de Santos. Rio de Janeiro, 2016. 139p. Dissertação de Mestrado – Departamento de Engenharia Civil e Ambiental, Pontifícia Universidade Católica do Rio de Janeiro.
DE ARAUJO, Renata Mattos Sampaio et al. Metodologia para a Estimativa de Resistência de Rochas Carbonáticas Análogas ao Pré-sal Brasileiro, 2020.
HASSAN, Amjed; ELKATATNY, Salaheldin; AL-MAJED, Abdulaziz. Coupling rate of penetration and mechanical specific energy to Improve the efficiency of drilling gas wells. Journal of Natural Gas Science and Engineering, v. 83, p. 103558, 2020.
NASCIMENTO, Andreas. New tendencies in Drilling Processes Automation and Optimization: a focus on the Brazilian Pre-salt. In: 5th World Congress & Expo on Oil, Gas & Petroleum Engineering, [s.l.], 2019.
NASCIMENTO, Andreas et al. Reverse engineering: a new well monitoring and analysis methodology approaching playing-back drill-rate tests in real-time for drilling optimization. Journal of Energy Resources Technology, v. 139, n. 1, p. 012902, 2017.
NASCIMENTO, Andreas et al. Mathematical modeling applied to drilling engineering: an application of Bourgoyne and Young ROP model to a presalt case study. Mathematical Problems in Engineering, v. 2015, n. 1, p. 631290, 2015.
PRASAD, Umesh. Mechanical specific energy (MSE) in coring: a tool to understand the drilling mechanism and coring parameters optimization for improved core recovery. In: AAPG International Conference and Exhibition. p. 2018.
Apontamentos
- Não há apontamentos.
 
NÚCLEO DE PESQUISA INSTITUCIONAL 
CENTRO UNIVERSITÁRIO DE ITAJUBÁ - FEPI
Av. Dr. Antônio Braga Filho 687 - Varginha - Itajubá - CEP – 37501-002 
Tel.(35) 3629-8400
Revista Científic@ Universitas - ISSN Eletrônico: 2175-4020