一个基于神经网络的新框架,用于估计缺少输入参数的石油和天然气管道寿命
Nagoor Basha Shaik1,2, Kittiphong Jongkittinarukorn3, Watit Benjapolakul2
1Department of Mining and Petroleum Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, 10330, Thailand.
Scientific reports
|February 24, 2024
概括
这项研究引入了一种新的神经网络模型,以预测干气管道寿命和金属损失,即使缺少数据. 智能模型提高了石油和天然气行业的安全性和可靠性.
科学领域:
- 工程 工程师 工程师 工程师
- 数据科学数据科学数据科学
背景情况:
- 干气管道面临着腐蚀和泄漏等运营,技术和环境方面的挑战.
- 积极的维护和先进的技术对于管道安全,可靠性和效率至关重要.
研究的目的:
- 开发一种新的神经网络模型,用于预测干气管道系统的寿命.
- 在恶劣环境中检测金属损失尺寸分类,即使缺少数据.
- 加强石油和天然气行业的管道健康监测和管理.
主要方法:
- 采用了基于贝叶斯规范化的神经网络框架.
- 该模型将深度学习与特定行业的专业知识相结合,以处理缺失的数据.
- 该模型在四个干气管道数据集上进行了训练和验证.
主要成果:
- 该模型准确地预测管道健康状况和金属损失维度类,即使缺少输入参数.
- 实现了令人满意的数值性能,平均平方误差 (MSE) 值接近0和R平方 (R2) 值接近1.
- 证明了该模型能够预测缺失数据并使用归算变量预测管道寿命的能力.
结论:
- 拟议的智能模型显示了石油和天然气行业对管道健康状况估计的实际应用的巨大潜力.
- 该框架通过多模型比较和敏感性分析来提高可解释性和可靠性.
- 该模型可以通过减少事故风险和环境损害,提高整体安全性和可靠性来帮助企业规划.
相关概念视频
Design Example: Flow of Oil Through Circular Pipes
127
Understanding fluid flow behavior through pipes is critical in fluid mechanics, especially in applications like oil transportation through pipelines. Hagen-Poiseuille's law provides an exact solution derived from the Navier-Stokes equations for steady, incompressible, and laminar flow within a circular pipe. Hagen-Poiseuille's law helps determine the necessary pressure drop across a pipeline section by determining parameters like pipe length, radius, oil viscosity, and the desired...
127
Multiple Pipe Systems
754
Multipipe systems consist of complex configurations of interconnected pipes designed to transport fluids efficiently across intricate networks. They are essential in engineering applications requiring precise control over flow distribution, pressure, and head loss. They are categorized into series, parallel, loop, and network configurations, each distinguished by unique flow characteristics and applications.
Series Configuration
In a series configuration, fluid flows sequentially from one pipe...
Series Configuration
In a series configuration, fluid flows sequentially from one pipe...
754
Design Example: Alignment of a Road Line Using GIS
49
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
49
Plane Potential Flows
386
Plane potential flows simplify fluid motion by assuming the fluid to be irrotational and incompressible. These characteristics allow these flows to be described by a velocity potential function, ϕ, representing the flow speed in a given direction, and a stream function, ψ, that visualizes the flow path, both governed by Laplace's equation. These parameters help in estimating flow patterns, velocity distributions, and pressure fields around various hydraulic structures.
Uniform...
Uniform...
386
Major Losses in Pipes
1.1K
When a fluid flows through a pipe, it experiences energy losses due to frictional resistance along the pipe walls, known as major losses. These energy losses result in a pressure drop, which varies based on the flow conditions — whether laminar or turbulent — and the specific physical properties of the fluid and pipe.
Fluid flow can be classified as laminar or turbulent, primarily based on the Reynolds number. This dimensionless number reflects the relative influence of inertial to...
Fluid flow can be classified as laminar or turbulent, primarily based on the Reynolds number. This dimensionless number reflects the relative influence of inertial to...
1.1K


