Investigation of Tanks Inventory at Fuel Terminals Based on Data Quality Dimensions

A recurring challenge in the global oil and gas industry is the issue of reduced volume of petroleum products when loaded into petroleum trucks. Incorrect measurement of product volumes during custody transfer operations can lead to discrepancies in actual quantities, which can have significant financial implications for the parties involved. For these reasons, data collected from hydrometers and thermometers for determining the density at 15°C must be reliable to avoid discrepancies in volume delivered and received. The present study estimates the reliability of super and gasoil temperature and density measurements by applying data quality dimensions. It was also found that the data for quantifying volumes of petroleum products operations was approximately 13.8% erroneous. The most common errors found in the specific condition monitoring data were caused by outlier data. The most likely cause for the outlier data is the quality of work performance at ABC company fuel terminals. The economic impacts resulting from these small measurement errors prompt companies in the sector to focus on continuous improvement of their measurement systems.