A Concept of Fuel Tank Calibration Process Automation Within IoT Infrastructure

Ichebi

et al. 2023

MAPAN

Process vessels utilized for liquids and liquid-phase processes are important in the chemical process industries as they are employed for a number of purposes which include use as reservoirs, surge tanks, transportation tankers and as reactors. It is therefore often desired to have real-time data about the liquid volume and level especially for partially-filled vessels. While obtaining volume-level data for filled tanks for common geometries are simple tasks, this is not so for partially-filled vessels with complex geometries. This paper therefore sets out to develop a useful theoretical tool which can assist process engineers with the task of calibrating process tanks for these complex yet widely-used geometries. The paper presents a mathematical analysis of these geometries and develops equations and charts which could be used to estimate tank volumes from given depth of liquid for any geometry of partially-filled process vessel. The paper also develops a useful methodology which can assist in the design and sizing of process vessels using the developed charts. The paper is unique in that it utilized a normalization technique in the mathematical analyses of the partially-filled process vessels. Fractional volume and fractional depth were introduced as key variables in addition to dimensionless geometric parameters.

Section: Introductionmentioning

confidence: 99%

Volume-Level Calibrations for Partially-filled Liquid Process and Storage Vessels: Metering for Complex Geometries

Oshin

Ichebi

et al. 2023

MAPAN

“…A lot of studies have been done in the area of cost estimation and prediction, which include: Design cost modelling -A way forward (Lawther and Edwards, 2000), The standard cost model-a framework for defining and quantifying administrative burdens for businesses (Daniel et al, 2004), Salama et al, 2006, Predicting construction cost using multiple regression techniques (David et al 2006), Using intelligent techniques in construction project cost estimation: 10-year survey (Abdelrahman et al, 2014), Development of an energy cost prediction model for a VRF heating system (Bo et al, 2018). Though few studies have been done in the field of tank calibration such as: New approach to calibration of vertical fuel tank (Knyva et al, 2013), calculation of oil tank volume and report generation system with trim and list corrections (Ming-Shen and Chia, 2016), application of statistical quality control (SQC) in the calibration of oil storage tanks , A concept of fuel tank calibration process automation within IoT infrastructure (Knyva et al, 2017); but there has not been any documented study on the cost modeling of tank calibration and that is what was why this study was undertaken.…”

Section: Introductionmentioning

confidence: 99%

Modelling of Cost Estimates for the Geometrical Calibration of Upright Oil Storage Tanks

Akinnuli²,

Akintunde³

et al. 2020

IJEEP

Cost estimation is a fundamental activity in engineering management and business decision making. It normally involves estimating the quantity of labor, materials, utilities, floor space, sales, overhead, time and other parameters over a given period of time. These estimates are used typically as inputs to deterministic analysis methods or to stochastic analysis methods. Cost of tank calibration which depends on the factors such as the capacity of tank, number of labour, method adopted, equipment etc. has not been standardized. In an attempt to standardize the cost of tank calibration, two separate models, one each for the two common methods of tank calibration; manual strapping method and electro optical distance ranging. These models were validated with actual cost of tank calibration obtained from four renowned calibration companies in the country and were found to be within the acceptable limit of ±10% deviation.

“…Various approaches are being used in geometrical method of calibration. The most modernized and technically-based among them is 3D Laser scanning method as described by Knyva et al [6]. Dou et al [7] proposed a model for determining the tank's position in the generation of tank capacity table and the study focused more on vertical storage tanks.…”

Section: Introductionmentioning

confidence: 99%

Generation of Calibration Charts for Horizontal Petroleum Storage Tanks Using Microsoft Excel

Ikubanni

Ibikunle

et al. 2017

MAPAN

Petroleum and petroleum products are expensive commodities due to their global demand as a major source of energy. As a result of its expensiveness, there is need for proper inventory to know what is going in and coming out of the storage tanks. Proper inventory is achieved by accurate measurement through the generation of a calibration chart for every storage tank. Calibration chart (tank table) gives the needed information about the level (height) and the corresponding volume of the petroleum product in the storage tank. Geometrical method (dry calibration) is the most widely used method of computing tank table using the field data such as circumference, shell or plate thickness, length of barrel and lap/butt strap while taking the necessary correction factors into consideration. Microsoft Excel is a powerful tool in Microsoft (MS) office package used for computation and programming through the use of visual basic for application. In this study, MS Excel was used to generate two different charts which were compared with the charts generated from customized specialized calibration software from Société Générale de Surveillance (SGS software) and the results were found to be within the statistical controlled limit.