原油产量估计:石油炼油行业的最新进展和技术进步
Wan Nazihah Liyana Wan Jusoh1, Madiah Binti Omar2, Abdul Sami1
1Department of Chemical Engineering, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia.
Sensors (Basel, Switzerland)
|September 13, 2025
概括
准确的原油属性估计对于炼油厂至关重要. 本综述涵盖了传统和现代方法,如模拟和机器学习,以实现更快,更可靠的石油产品产量预测.
科学领域:
- 石油工程是石油工程中的一个.
- 化学工程是化学工程的重要组成部分.
- 数据科学数据科学数据科学
背景情况:
- 原油产权估计对于预测炼油厂的石油产品产量至关重要.
- 原油来源的变化需要可重复和准确的分析方法.
- 传统的实验室分析用于产量估计是耗时和劳动密集的.
研究的目的:
- 在炼油行业全面审查估计石油产品产量的技术.
- 探索超越传统方法的进步,以提高预测准确度和速度.
- 提供对产量估计中的过程模拟,建模和机器学习应用的见解.
主要方法:
- 审查现有的关于石油炼油工艺和产量估计技术的文献.
- 分析传统的基于实验室的原油属性评估方法.
- 检查先进的计算方法,包括过程模拟,数学建模和机器学习算法.
主要成果:
- 传统方法提供了详细但缓慢的分析.
- 过程模拟,建模和机器学习提供更快,更准确和更可概括的产量估计.
- 案例研究突出了各种计算模型的发展,应用,好处和局限性.
结论:
- 产量估计技术的进步对于石油炼油行业的现代化至关重要.
- 采用模拟和机器学习增强了生产优化,并支持可持续发展目标.
- 改进的产量估计使炼油厂能够获得可靠的数据,以实现高效运营.
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