Sistema embarcado para automação do processo de cromatografia gasosa aplicado no contexto de mud logging
Accurate detection of chromatographic peaks allows for the identification of relevant chemical components in samples, aiding in decision-making and enhancing the oil exploration process. This work aimed to develop and validate an efficient algorithm for the detection of chromatographic peaks in th...
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| Formato: | bachelorThesis |
| Idioma: | pt_BR |
| Publicado em: |
Universidade Federal do Rio Grande do Norte
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| Endereço do item: | https://repositorio.ufrn.br/handle/123456789/53403 |
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| Resumo: | Accurate detection of chromatographic peaks allows for the identification of relevant chemical components in samples, aiding in decision-making and enhancing the oil exploration
process. This work aimed to develop and validate an efficient algorithm for the detection of
chromatographic peaks in the context of mud logging. The algorithm was implemented in
Python and adapted for the LabVIEW environment, enabling its integration into Geowellex’s well monitoring software (SMP). Rigorous tests were conducted using representative
sample from chromatographic analyses. The obtained results confirmed the algorithm’s
effectiveness, demonstrating its high precision in peak detection, even in situations with
noise and amplitude variations. The development of this algorithm and its integration into
Geowellex’s SMP represent significant advancements in the field of chromatographic peak
detection in mud logging. |
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