一个可靠的模型来预测天然气组件中的溶性:一个强大的机器学习框架和数据评估
Menad Nait Amar1, Noureddine Zeraibi2, Hakim Djema1
1Département Etudes Thermodynamiques, Division Laboratoires, Sonatrach, Avenue 1er Novembre, Boumerdes 35000, Algeria.
机器学习准确地预测天然气中的溶性,这对于防止设备损坏和环境损害至关重要. 这种方法提高了天然气运营的安全性和效率.
科学领域:
- 环境化学环境化学
- 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:
- 天然气中的污染带来了重大风险,包括设备腐蚀,安全隐患,环境污染和经济损失.
- 准确预测各种气体混合物中的溶性对于有效的风险管理和监管遵守至关重要.
研究的目的:
- 开发和验证先进的机器学习模型,用于估计天然气系统中的溶性.
- 确定影响溶性的关键因素,并评估开发模型的可靠性.
主要方法:
- 利用多层感知器 (MLP),通用回归神经网络 (GRNN) 和额外树 (ET) 机器学习算法.
- 在各种压力和温度条件下使用高质量的数据集进行训练和验证的模型.
- 采用杆方法来确认数据集的可靠性和信任区域.
主要成果:
- 该MLP模型实现了优异的预测性能,确定系数为0.9998和根平均平方误差为1.7430ppb.
- 温度被确定为影响溶性的最重要因素.
- 96.5%的数据点属于信任区域,证实了数据集的可靠性.
结论:
- 建立了一个基于ML的开创性框架,用于估计天然气中的溶性.
- 开发的模型为实时监控和降低风险提供了重要的工业潜力.
- 这种方法提高了天然气行业的安全性,运营效率和环境可持续性.
更多相关视频
09:03Assessment of Methane and Nitrous Oxide Fluxes from Paddy Field by Means of Static Closed Chambers Maintaining Plants Within Headspace
Published on: September 6, 2018
07:23Experimental Study of the Relationship Between Particle Size and Methane Sorption Capacity in Shale
Published on: August 2, 2018
相关概念视频
Physical Properties Affecting Solubility
As for any solution, the solubility of a gas in a liquid is affected by the attractive intermolecular forces between solute and solvent species. Unlike solid and liquid solutes, however, there is no solute-solute intermolecular attraction to overcome when a gaseous solute dissolves in a liquid solvent since the atoms or molecules comprising a gas are far separated and experience negligible interactions. Consequently, solute-solvent interactions are the sole...
Sampling Methods: Sample Types
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
Entropy and Solvation
Gas Chromatography: Introduction
In GC, a sample is vaporized and mixed with an inert carrier gas (the mobile phase), which transports it through a...
Gas Chromatography–Mass Spectrometry (GC–MS)
A gas chromatograph consists of a long, narrow capillary column with a polysiloxane coating on the inner wall....
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
