A hybrid data-driven solution to facilitate safe mud window prediction

A Gowida, AF Ibrahim, S Elkatatny - Scientific Reports, 2022 - nature.com
Safe mud window (SMW) defines the allowable limits of the mud weights that can be used
while drilling O&G wells. Controlling the mud weight within the SMW limits would help avoid …

基于机器学习模型的斜井坍塌压力预测方法.

马天寿, 张东洋, 杨赟, 陈颖杰 - Natural Gas Industry, 2023 - search.ebscohost.com
坍塌压力是优化钻井液密度, 维持井壁稳定的重要基础参数, 对保障油气井安全高效钻井具有
重要作用. 为了解决传统坍塌压力预测方法存在的计算过程繁琐, 预测精度较低等问题 …

The Implication of Time-Dependent Filter Cake Buildup on Wellbore Stability and Breakdown Pressure

C Liu, DT Phan, YN Abousleiman - Rock Mechanics and Rock Engineering, 2024 - Springer
Existing poromechanical models fall short in wellbore stability analysis without considering
combined effects of hydro-mechanical coupling, thermal diffusion, and transient nature of a …

An Integrative Software Platform to Support Drilling Operations in Troublesome Formations

Y Han, C Liu, D Phan - SPE Middle East Oil and Gas Show and …, 2023 - onepetro.org
A software product, called SAGE-WSA, has been developed to provide an integrative
platform for experimenting impacts of various affecting factors and mechanisms on the …

Prediction of plugging formulation based on PSO‐BP optimization neural network

X Wang, Y Chen, M Huang, B Zeng, Z Li… - Engineering …, 2024 - Wiley Online Library
In the context of drilling operations, the study investigated the ability of a combination of rigid
mineral particles and composite plugging agents to seal simulated cracks effectively. The …

Wellbore stability and the establishment of a safe mud weight window

DA Wood - Sustainable Natural Gas Drilling, 2024 - Elsevier
Brief summary The SMWW defines the range of drilling-fluid densities that can be used to
drill a wellbore stably and safely through a specific geological sequence. Rock-elastic …

Novel Physics-Informed Machine Learning Approach to Estimate Safe Mud Window Using Petrophysical Logging Data

A Gowida, S Elkatatny - International Petroleum Technology …, 2024 - onepetro.org
The allowable limits of mud weights for drilling O&G wells, known as the safe mud window
(SMW), play a crucial role in preventing wellbore instability issues and loss of circulation …

Application of Artificial Intelligence to Model Stresses and Failure Parameters in Anisotropic Formations

W Yousuf, J Kim - SPE Annual Technical Conference and Exhibition?, 2024 - onepetro.org
AI-driven solutions have transformed computational applications, offering a competitive
edge over traditional analytical and numerical methodologies. While the initial training of …

Predicting Mud Weight Window from Well Logs by Integrating Deep Neural Networks and Physics Models

DT Phan, C Liu, MJ AlTammar… - International Petroleum …, 2024 - onepetro.org
The selection of an appropriate mud weight is important in drilling operations, as it plays a
pivotal role in mitigating the potential for costly wellbore instability issues. The safe mud …

Prediction Plugging Material Formulation on Using Neural Networks

Y Yu, Y Su - Chemistry and Technology of Fuels and Oils, 2023 - Springer
Lost circulation occurs frequently during drilling, increasing drilling costs in minor cases and
leading to the scrapping of wells in major cases, and plugging leakage has been the focus …