Estudo da correlação de resultados da destilação de petróleo pelas normas ASTM D2892 e D5236 com a destilação simulada pela ASTM D7169

• Ano de defesa: 2017
• Autor(a) principal: Queiroz, Lucas Oliveira Santos de
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Espírito Santo; BR; Mestrado em Química; Centro de Ciências Exatas; UFES; Programa de Pós-Graduação em Química
• Palavras-chave em Português: Crude oil; Distillation; TBP; Simulated Distillation; SIMDIS; Petróleo; Destilação; PEV; Destilação Simulada; Química; 54
• Link de acesso: http://repositorio.ufes.br/handle/10/7323

True Boiling Point (TBP) Distillation is one of the most important stages of crude oil Characterization because it yields different fractions. Knowing the boiling point distribution and the proportion of these fractions is really important in the control e and logistics of refining processes besides making possible evaluation of petroleum price. The most used laboratorial methods are ASTM D2892 (atmospheric distillation: reaches 400 ºC) and ASTM D5236 (vacuum distillation: use low pressure to heat atmospheric residue without cracking its molecules). True boiling point curve (TBP curve – result of Lab physical distillation) is obtained by connecting data from atmospheric and vacuum distillation. However these methods require big amounts of sample (5 to 40 L) and time (from 3 to 4 days). Simulated Distillation (SIMDIS) by Gas Chromatography is an attractive alternative to avoid these problems. Samples are volatilized and its compounds are separated inside chromatographic column under controlled temperature, yielding chromatograms and TBP curves. In this paper, 98 crude oil samples were analyzed and data were correlated in different steps. In the first step, each sample was analyzed using ASTM D7169 (SIMDIS) in the Chromatography Laboratory of LabPetro in the Federal University of Espírito Santo (UFES). It yielded 4 replicates for each sample and a similarity evaluation was made to determine which one had the best result. Data of the selected replicate was compared to results from CENPES-Petrobras. In the first comparison, similarity of SIMDIS’ data from the two labs was evaluated for 44 crude oils (samples which CENPES provided data). The following step was comparing data from SIMDIS of UFES with data of TBP Distillation from CENPES-Petrobras. Data correlation was made comparing boiling point at each 5% of mass recuperation point. To obtain values at these points, a fifth-degree polynomial fit was used and Bias test was applied to compare data. The final results showed good correlation between data of SIMDIS and TBP distillation. Samples of 13 petroleum exhibited good results (from 15 samples analyzed) without significant systematic errors.