A Cement Bond Quality Prediction Method Based on a Wide and Deep Neural Network Incorporating Embedded Domain Knowledge

A Cement Bond Quality Prediction Method Based on a Wide and Deep Neural Network Incorporating Embedded Domain Knowledge

Cement bond quality is critical to ensuring the long-term safety and structural integrity of oil and gas wells. However, due to the complex interdependencies among geological conditions, operational parameters, and fluid properties, accurately predicting cement bond quality remains a considerable ch...

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Bibliographic Details
Main Authors: Rengguang Liu, Jiawei Yu, Luo Liu, Zheng Wang, Shiming Zhou, Zhaopeng Zhu
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Applied Sciences
Subjects:
artificial intelligence
cement bond quality prediction
neural network
knowledge embedding
Online Access:https://www.mdpi.com/2076-3417/15/10/5493
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