Wan Jusoh Wan Nazihah Liyana, Omar Madiah Binti, Sami Abdul, Bingi Kishore, Ibrahim Rosdiazli
Department of Chemical Engineering, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia.
Department of Integrated Engineering, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia.
Sensors (Basel). 2025 Sep 4;25(17):5511. doi: 10.3390/s25175511.
Oil refineries depend greatly on the estimation of crude oil properties in order to understand the oil's behaviour and the product fractions expected from the refining process. In yield estimation, the crude oil source and variant can cause variability in prediction and lead to the need for repeatable analysis. The necessity for fast, accurate, and high-generalization yield estimation initiates the framework of this review. This paper aims to comprehensively review the available techniques for estimating the yield of petroleum products in the petroleum refining industry. The review provides a brief overview of petroleum refining processes and high-value products, followed by a description of the traditional method, which utilizes laboratory analysis to offer detailed findings, but requires a tedious methodology. The improvement of yield estimation leads to process simulation, modelling, and machine learning, enabling a fast response and better prediction with higher accuracy. Thorough case studies related to simulation software, models, and algorithms are presented to discover the process and model development, applications, advantages, and drawbacks. Enhancing petroleum product yield estimation provides reliable techniques for oil refiners that enable them to achieve optimized production aligned with sustainability and modernization goals.
炼油厂在很大程度上依赖于对原油特性的评估，以便了解原油的特性以及炼油过程中预期得到的产品馏分。在产量估算方面，原油来源和变体可能会导致预测的变异性，并导致需要进行可重复的分析。快速、准确且具有高度通用性的产量估算的必要性促成了本综述的框架。本文旨在全面回顾石油炼制行业中估算石油产品产量的现有技术。该综述简要概述了石油炼制过程和高价值产品，随后描述了传统方法，该方法利用实验室分析来提供详细结果，但需要繁琐的方法。产量估算的改进催生了过程模拟、建模和机器学习，实现了快速响应和更高精度的更好预测。文中给出了与模拟软件、模型和算法相关的详尽案例研究，以探究过程和模型的开发、应用、优点及缺点。提高石油产品产量估算为炼油厂提供了可靠的技术，使他们能够实现与可持续性和现代化目标相一致的优化生产。
