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相关概念视频

Carbonation Shrinkage01:24

Carbonation Shrinkage

177
Atmospheric CO2 penetrates the concrete's pores and, in the presence of moisture, forms carbonic acid, which then reacts with calcium hydroxide in the hydrated cement, forming calcium carbonate. This process reduces the concrete's volume and is termed carbonation shrinkage.
The concrete's permeability is slightly reduced as calcium carbonate produced during the reaction fills its pores. Furthermore, its strength is slightly enhanced as the water released during the reaction...
177
Porosity and Absorption of Aggregate01:20

Porosity and Absorption of Aggregate

331
Aggregates contain pores of varying sizes; while some are completely enclosed within the particles, others open onto the surface, allowing water to penetrate. The porosity of aggregates is a major factor contributing to the overall porosity of concrete, given that aggregates constitute about three-quarters of concrete's volume.
When all pores in an aggregate are filled with water, the aggregate is considered saturated and surface-dry. If left in dry air, water will evaporate until the...
331
Entropy and Solvation02:05

Entropy and Solvation

7.1K
The process of surrounding a solute with solvent is called solvation. It involves evenly distributing the solute within the solvent. The rule of thumb for determining a solvent for a given compound is that like dissolves like. A good solvent has molecular characteristics similar to those of the compound to be dissolved. For example, polar solutions dissolve polar solutes, and apolar solvents dissolve apolar solutes. A polar solvent is a solvent that has a high dielectric constant (ϵ...
7.1K
Permeability of Concrete01:25

Permeability of Concrete

179
Permeability in the context of concrete refers to how easily liquids or gases can pass through the material. This quality is crucial for assessing the water-tightness and durability of concrete structures and their resistance to chemical attacks. Concrete permeability can be determined through comparative laboratory tests. These tests typically involve sealing a concrete specimen from the sides, applying water pressure to the top surface with pressure, and measuring the amount of water passing...
179
Physical Properties Affecting Solubility02:19

Physical Properties Affecting Solubility

22.8K
Solutions of Gases in Liquids
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...
22.8K

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Experimental Study of the Relationship Between Particle Size and Methane Sorption Capacity in Shale
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数据驱动的模型用于预测CO2捕获应用的页岩湿度.

Ahmed Farid Ibrahim1,2, Salaheldin Elkatatny3,4

  • 1Department of Petroleum Engineering and Geosciences, King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia. ahmed.ibrahim@kfupm.edu.sa.

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机器学习模型通过估计接触角度来准确预测页岩湿度,为实验室测试提供更快的替代方案. 在这项研究中,人工神经网络 (ANN) 在二氧化碳封存应用中表现最好.

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科学领域:

  • 地质科学和石油工程 石油科学和石油工程
  • 计算科学和数据分析数据分析.

背景情况:

  • 了解页岩中的二氧化碳湿行为对于二氧化碳捕获至关重要.
  • 评估页岩湿度的传统实验方法复杂且耗时.

研究的目的:

  • 开发高效的机器学习 (ML) 模型,通过接触角度估计来预测页岩湿度.
  • 为了比较人工神经网络 (ANN),支持矢量机器 (SVM) 和自适应神经模糊推理系统 (ANFIS) 的性能.

主要方法:

  • 在各种条件下收集了页岩样本的数据集 (页岩特性,压力,温度,盐水盐度).
  • 训练并验证ANN,SVM和ANFIS模型以预测接触角度 (CA).
  • 基于优化的ANN模型开发了一个经验相关性.

主要成果:

  • ANN模型实现了最高的准确性 (测试数据的R2为0.98,验证数据的R2为0.96).
  • 安菲斯还显示出强大的预测性能 (测试数据的R2为0.97,验证数据的R2为0.95).
  • SVM模型显示过拟合;经验相关性产生了0.96.9的R2.

结论:

  • ML模型,特别是ANN,为预测页岩湿度提供了有效的替代方案.
  • 压力和总有机含量 (TOC) 是影响页岩湿度的关键因素.
  • 开发的经验相关性为接触角度预测提供了一个实用的工具.