Работы, цитирующие эту работу

Работ: 3

Работа: Filter Cake Properties of Water-Based Drilling Fluids Under Static and Dynamic Conditions Using Computed Tomography Scan

1. Reliable estimation via hybrid gradient boosting machine for mud loss volume in drilling operations

   Xiaozhi Lu, Farag M. A. Altalbawy, Tarak Vora +9

   СтатьяDrilling and Well EngineeringScientific Reports2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.002187

2. Predicting filter cake thickness in drilling fluids using machine learning techniques

   Minghui OU, Mohammed Al-Bahra, Raman Kumar +10

   СтатьяDrilling and Well EngineeringPhysics and Chemistry of the Earth Parts A/B/C2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.008047

3. Application of hybrid gradient boosting machine to reliably predict rate of penetration

   Jianing Zhang, Farag M. A. Altalbawy, Tarak Vora +10

   СтатьяHigh-Velocity Impact and Material BehaviorPhysics and Chemistry of the Earth Parts A/B/C2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.008755