相关实验视频

Updated: Jun 26, 2025

A Cost-effective and Reliable Method to Predict Mechanical Stress in Single-use and Standard Pumps

A Cost-effective and Reliable Method to Predict Mechanical Stress in Single-use and Standard Pumps

Published on: August 5, 2015

一个受约束的机器学习替代模型,用于预测静电场中的油中的水乳液的分布

Ghazal Kooti¹, Bahram Dabir², Christoph Butscher³

¹Department of Petroleum Engineering, Amirkabir University of Technology, Tehran, Iran.

Scientific reports

|May 15, 2024

概括

这项研究引入了一种机器学习模型,用于预测原油脱水系统中的水滴大小,提高效率. 该模型准确预测滴滴分布,有助于优化静电脱水过程.

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:

准确预测水滴大小分布对于有效的原油脱水至关重要.
传统的数学模型是计算密集型的,限制了实时应用.
静电场可以增强水滴大小,提高分离效率.

研究的目的:

开发一种计算效率高的机器学习替代模型,用于预测原油中水滴大小分布.
将物理原理集成到机器学习模型中,以确保准确可靠的预测.
为静电脱水系统提供复杂数学模型的实用替代方案.

主要方法:

开发了一个基于人口平衡模型的受约束机器学习 (ML) 替代模型.
使用了极端梯度提升 (XGBoost) 算法,并通过遗传算法 (GA) 进行了优化.
纳入关键的静电脱水参数 (滴径,电压,油性质,温度,停留时间) 作为输入.

主要成果:

受到约束的ML模型实现了高精度,测试组的平均平方误差为0.005和R平方误差为0.998.
模型预测与实验数据和人口平衡数学模型进行了验证.
最初的滴滴直径和应用电压被确定为最有影响力的参数.

结论:

受约束的ML替代模型提供了一种快速而准确的方法,用于预测原油脱水中的水滴大小演变.
该模型对物理原理的坚持提高了其在实际应用中的可靠性.
这种方法有助于优化石油工业中的静电脱水过程.

关键词:

在线静电凝聚器在线静电凝聚器机器学习机器学习颗粒大小分布颗粒大小分布替代模型的建模油中的水乳液.在XGBoost中使用.

更多相关视频

Self-Nanoemulsification of Healthy Oils to Enhance the Solubility of Lipophilic Drugs

Self-Nanoemulsification of Healthy Oils to Enhance the Solubility of Lipophilic Drugs

Published on: July 27, 2022

Glass-Based Devices to Generate Drops and Emulsions

Glass-Based Devices to Generate Drops and Emulsions

Published on: April 5, 2022

相关概念视频

Electrostatic Boundary Conditions

Electrostatic Boundary Conditions

Consider an external electric field propagating through a homogeneous medium. When the electric field crosses the surface boundary of the medium, it undergoes a discontinuity. The electric field can be resolved into normal and tangential components. The amount by which the field changes at any boundary is given by the difference between the field components above and below the surface boundary.
The surface integral of an electric field is given by Gauss's law in integral form and is related to...

Typical Model Studies

Typical Model Studies

Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.

Capillary Electrophoresis: Applications

Capillary Electrophoresis: Applications

Capillary electrophoretic separations offer various modes, each with unique applications. These modes include capillary zone electrophoresis, capillary gel electrophoresis, capillary array electrophoresis, capillary isoelectric focusing, capillary isotachophoresis, micellar electrokinetic chromatography, and capillary electrochromatography.
Capillary zone electrophoresis (CZE) separates ionic components based on their electrophoretic mobility. It has been used to separate proteins, amino acids,...

Plane Electromagnetic Waves I

Plane Electromagnetic Waves I

The existence of combined electric and magnetic fields that propagate through space as electromagnetic (EM) waves is the most significant prediction of Maxwell's equations. As Maxwell's equations hold in free space, the predicted electromagnetic waves do not require a medium for their propagation. An EM wave comprises an electric field, defined as the force per charge on a stationary charge, and a magnetic field, which is the force per charge on a moving charge.
The EM field is assumed...