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A Multi-agent System Approach for Management of Industrial IoT Devices in Manuf...
Cagnin, Renato L. [UNESP]; Guilherme, Ivan R. [UNESP]; Queiroz, Jonas [UNESP]; Paulo, Bruno [UNESP]; Neto, Marcilio F.O. [UNESP]Made available in DSpace on 2022-04-28T19:26:34Z (GMT). No. of bitstreams: 0 Previous issue date: 2018-09-24; Industry 4.0 is the new industrial revolution that uses technologies to enable communication and interaction between devices. In this new environment, applications are designed to ensure concepts like connection, data sharing, accessibility and process automation. In a process automation context, applic...
PetroBERT: A Domain Adaptation Language Model for Oil and Gas Applications in P...
Rodrigues, Rafael B. M. [UNESP]; Privatto, Pedro I. M. [UNESP]; de Sousa, Gustavo José [UNESP]; Murari, Rafael P. [UNESP]; Afonso, Luis C. S. [UNESP]Made available in DSpace on 2022-05-01T15:46:21Z (GMT). No. of bitstreams: 0 Previous issue date: 2022-01-01; This work proposes the PetroBERT, which is a BERT-based model adapted to the oil and gas exploration domain in Portuguese. PetroBERT was pre-trained using the Petrolês corpus and a private daily drilling report corpus over BERT multilingual and BERTimbau. The proposed model was evaluated in the NER and ...
Application of ARX neural networks to model the Rate of Penetration of petroleu...
Fonseca, Tiago C.; Mendes, Jose Ricardo P.; Serapiao, Adriane B. S. [UNESP]; Guilherme, Ivan R. [UNESP]; Kovalerchuk, B.Made available in DSpace on 2020-12-10T18:05:49Z (GMT). No. of bitstreams: 0 Previous issue date: 2006-01-01; Bit performance prediction has been a challenging problem for the petroleum industry. It is essential in cost reduction associated with well planning and drilling performance prediction, especially when rigs leasing rates tend to follow the projects-demand and barrel-price rises. A methodology to model ...
Evolving Neural Conditional Random Fields for drilling report classification
Ribeiro, Luiz C.F. [UNESP]; Afonso, Luis C.S.; Colombo, Danilo; Guilherme, Ivan R. [UNESP]; Papa, João P. [UNESP]Made available in DSpace on 2020-12-12T02:32:20Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-04-01; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES); Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP); Petrobras; Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq); Oil and gas prospecting is an important economic activity, besides being expensive and quit...
A Multi-agent System Approach for Management of Industrial IoT Devices in Manuf...
Cagnin, Renato L. [UNESP]; Guilherme, Ivan R. [UNESP]; Queiroz, Jonas [UNESP]; Paulo, Bruno [UNESP]; Neto, Marcilio F. O. [UNESP]; IEEEMade available in DSpace on 2019-10-04T12:32:18Z (GMT). No. of bitstreams: 0 Previous issue date: 2018-01-01; Industry 4.0 is the new industrial revolution that uses technologies to enable communication and interaction between devices. In this new environment, applications are designed to ensure concepts like connection, data sharing, accessibility and process automation. In a process automation context, applic...
Classification of petroleum well drilling operations using Support Vector Machi...
Serapião, Adriane B. S. [UNESP]; Tavares, Rogério M.; Mendes, José Ricardo P.; Guilherme, Ivan R. [UNESP]Submitted by Vitor Silverio Rodrigues (vitorsrodrigues@reitoria.unesp.br) on 2014-05-27T11:22:39Z No. of bitstreams: 0; Made available in DSpace on 2014-05-27T11:22:39Z (GMT). No. of bitstreams: 0 Previous issue date: 2007-12-01; During the petroleum well drilling operation many mechanical and hydraulic parameters are monitored by an instrumentation system installed in the rig called a mud-logging system. These...
A genetic neuro-model reference adaptive controller for petroleum wells drillin...
Fonseca, Tiago C.; Mendes, José Ricardo P.; Serapião, Adriane B.S. [UNESP]; Guilherme, Ivan R. [UNESP]Submitted by Vitor Silverio Rodrigues (vitorsrodrigues@reitoria.unesp.br) on 2014-05-27T11:22:39Z No. of bitstreams: 0; Made available in DSpace on 2014-05-27T11:22:39Z (GMT). No. of bitstreams: 0 Previous issue date: 2007-12-01; Motivated by rising drilling operation costs, the oil industry has shown a trend towards real-time measurements and control. In this scenario, drilling control becomes a challenging pr...
Identification and frequency of transposable elements in Eucalyptus
Bacci Jr., Maurício [UNESP]; Soares, Rafael B.S. [UNESP]; Tajara, Eloiza [UNESP]; Ambar, Guilherme [UNESP]; Fischer, Carlos N. [UNESP]Submitted by Vitor Silverio Rodrigues (vitorsrodrigues@reitoria.unesp.br) on 2014-05-27T11:21:43Z No. of bitstreams: 0Bitstream added on 2014-05-27T14:28:33Z : No. of bitstreams: 1 2-s2.0-30844467965.pdf: 110659 bytes, checksum: c649e392d4250ce0338d163eefe6d371 (MD5); Made available in DSpace on 2014-05-27T11:21:43Z (GMT). No. of bitstreams: 0 Previous issue date: 2005-12-01; Transposable elements (TE) are majo...
Application of ARX neural networks to model the rate of penetration of petroleu...
Fonseca, Tiago C.; Mendes, José Ricardo P.; Serapião, Adriane B. S. [UNESP]; Guilherme, Ivan R. [UNESP]Submitted by Vitor Silverio Rodrigues (vitorsrodrigues@reitoria.unesp.br) on 2014-05-27T11:22:20Z No. of bitstreams: 0; Made available in DSpace on 2014-05-27T11:22:20Z (GMT). No. of bitstreams: 0 Previous issue date: 2006-12-01; Bit performance prediction has been a challenging problem for the petroleum industry. It is essential in cost reduction associated with well planning and drilling performance predictio...