Работы, цитирующие эту работу

Работ: 3

Работа: Hybrid Machine-Learning Model for Accurate Prediction of Filtration Volume in Water-Based Drilling Fluids

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. 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

3. Synthesis and evaluation of selenium-doped nanocomposites in enhancing drilling fluid properties

   Lirong Deng, Fadhil F. Sead, Farag M. A. Altalbawy +11

   СтатьяDrilling and Well EngineeringDiscover Nano2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.000294