相关实验视频

Updated: Jan 9, 2026

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

使用特定域的多尺度卷积神经网络进行自动化质检测

Wenfa Yang¹, Shaoliang Sun², Yu He³

¹Anton Petroleum Technology (Group) Co., Ltd., Beijing, China.

|December 9, 2025

概括

本研究介绍了一种使用卷积神经网络 (CNN) 进行自动化石油和天然气井凝固质量检测的智能方法. CemQ-CNN模型分析声学记录数据,提高了手动解释的效率和准确性.

科学领域:

石油工程是石油工程中的一个.
人工智能在地球科学中的应用

背景情况:

凝固质量对于安全,长期的石油和天然气井生产至关重要.
传统的手动分析声记录数据 (VDL图像,振幅曲线) 是低效的,并且依赖于经验.

研究的目的:

开发一种自动化,高效和准确的方法来巩固质量检测.
引入CemQ-CNN,一种用于分类水泥质量的多式卷积神经网络模型.

主要方法:

一个多式联机CNN (CemQ-CNN) 被设计为同时处理VDL图像和声记录曲线.
利用了来自150个井的5000个标记的采伐样本的多样化数据集,这些样本来自三个地质块的150个井.
数据被分为培训 (70%),验证 (15%) 和测试 (15%) 组,用于模型评估.

主要成果:

在CemQ-CNN模型的测试中,测试组的整体分类准确率达到95.7%.
该模型在"好"",中"",差"水泥质量类别中表现出强的性能,宏观平均回忆率为95.6%,精度为95.5%.
多式联运方法的表现优于使用单一数据源的模型.

结论:

拟议的CemQ-CNN提供了一个智能,自动化解决方案,用于巩固质量评估,提高效率和一致性.
这种基于CNN的方法提供了一个可靠和创新的范式,协助和标准化石油和天然气井操作中的传统手动解释.

更多相关视频

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Detecting the Water-soluble Chloride Distribution of Cement Paste in a High-precision Way

Detecting the Water-soluble Chloride Distribution of Cement Paste in a High-precision Way

Published on: November 21, 2017

相关概念视频

Soundness of Cement

Soundness of Cement

The soundness of cement refers to the ability of cement paste to retain its volume after setting. Unsound cement can lead to expansion and structural damage due to the presence of free lime, magnesia, and calcium sulfate. Free lime hydrates very slowly, expanding and causing unsoundness, which is difficult to detect because it intercrystallizes with other compounds. Magnesia also reacts with water, forming crystals that can disrupt the cement's structure. Calcium sulfate can create...

Porosity in Cement Paste

Porosity in Cement Paste

The porosity of concrete is a measure of the void spaces within its structure. These spaces impact its strength and durability significantly. When water and cement interact, a chemical reaction called hydration creates a semi-solid paste. This paste includes combined water, making up approximately 23% of the cement's dry mass, and gel water, which fills minuscule voids known as gel pores, accounting for about 28% of the cement gel volume.
The balance of water to cement in the mix is...

Fineness of Cement

Fineness of Cement

The fineness of cement directly influences the rate of hydration, as the hydration begins at the surface of the cement particles. In addition to hydration, the fineness of cement is vital for various properties of concrete including workability, gypsum requirement, and long-term behavior. The fineness of cement is represented in terms of the specific surface of cement which is typically measured in square meters per kilogram, with several methods available for this determination.
Direct...

Hydration of Cement

Hydration of Cement

Hydration of cement is a chemical reaction between cement particles and water. This process occurs primarily through two mechanisms: through-solution and topochemical. In the through-solution process, anhydrous compounds dissolve into their constituents, hydrates form in the solution, and then precipitate from the supersaturated solution. The topochemical process involves solid-state reactions at the cement particle surface. The through-solution process dominates the topochemical process at the...