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This study delves into the properties and temperature indicators affecting oils, offering a detailed assessment of their quality. Through the framework of Data Quality Indicators (DQI), the analysis evaluates critical factors such as completeness, accuracy, and reliability. Various properties of petroleum are scrutinized to establish a robust quality model. The findings provide insights into optimizing oil quality controls, ultimately enhancing performance and compliance in the petroleum sector.
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0.8 0.8 1.0 1.0 0.7 0.7 0.5 0.5 0.9 0.9 0.8 0.8 1.0 1.0 0.8 0.8 0.9 0.9 1.0 1.0 0.8 0.8 1.0 1.0 0.7 0.7 1.0 1.0 1.0 1.0 Propriedades Temperaturas 0.8 1.0 0.7 0.5 0.9 Petróleo 0.8 1.0 0.8 0.9 1.0 0.8 1.0 0.7 1.0 1.0 Propriedades 1.0 0.7 0.5 0.9 1.0 Propriedades 0.7 1.0 Petróleo Petroleos Propriedades 0.8 OK=1 Temperaturas 0.8 NOK=0 0.8 N/A=-1 Modelo de Qualidade de Dados de Petróleos Dados de Petróleos Testes/dimensões Indicadores de Qualidade de Dados (DQI) 0D 2D 1D 3D Completude Ponderação (contextual) w1 Propriedades Temperaturas Acurácia Score único w2 Petróleos 0.94 Confiabilidade w3