Data-Driven Framework to Predict the Rheological Properties of CaCl2 Brine-Based Drill-in Fluid Using Artificial Neural Network
DOI: 10.3390/en12101880
A hybrid artificial intelligence model to predict the elastic behavior of sandstone rocks
DOI: 10.3390/su11195286
Application of artificial neural network to predict formation bulk density while drilling
New computational artificial intelligence models for generating synthetic formation bulk density logs while drilling
DOI: 10.3390/su12020686
Newly developed correlations to predict the rheological parameters of high-bentonite drilling fluid using neural networks
DOI: 10.3390/s20102787
Advancement of Hydraulic Fracture Diagnostics in Unconventional Formations
DOI: 10.1155/2021/4223858
Retraction:Prediction of the Least Principal Stresses Using Drilling Data: A Machine Learning Application
DOI: 10.1155/2021/8865827
The prediction of wellhead pressure for multiphase flow of vertical wells using artificial neural networks
Unconfined compressive strength (UCS) prediction in real-time while drilling using artificial intelligence tools
Langmuir adsorption isotherm in unconventional resources: Applicability and limitations
Machine learning application to predict in-situ stresses from logging data
Real-time prediction of in-situ stresses while drilling using surface drilling parameters from gas reservoir
New Empirical Correlations to Estimate the Least Principal Stresses Using Conventional Logging Data
Accelerated low-temperature oxidation for sand consolidation and production control
A hybrid data-driven solution to facilitate safe mud window prediction
Application of Silicomanganese Fume as a Novel Bridging Material for Water-Based Drilling Fluids
Exploring the potential of laser technology in oil well drilling: An overview
Experimental study on an eco-friendly gemini foaming agent for enhancing foam drilling applications
Impact of Pressure and Temperature on Foam Behavior for Enhanced Underbalanced Drilling Operations
Impact of Eco-Friendly Drilling Additives on Foaming Properties for Sustainable Underbalanced Foam Drilling Applications
Foam Stability Analysis at High pH and Saline Environments for Underbalanced Drilling Operations
Corrigendum to “Exploring the potential of laser technology in oil well drilling: An overview” [Geoenergy Sci. Eng. J., 230, November 2023, 212278] (Geoenergy Science and Engineering (2023) 230, (S2949891023008655), (10.1016/j.geoen.2023.212278))
Foam Properties Evaluation under Harsh Conditions: Implications for Enhanced Eco-Friendly Underbalanced Drilling Practices
DOI: 10.2118/223112-PA
Optimized Gradient Boosting Models for Adaptive Prediction of Uniaxial Compressive Strength in Carbonate Rocks Using Drilling Data
Retraction note: Saudi calcium bentonite: a novel modifier for enhanced foamed underbalanced drilling performance (Scientific Reports, (2025), 15, 1, (4850), 10.1038/s41598-025-87019-2)
Saudi calcium bentonite: a novel modifier for enhanced foamed underbalanced drilling performance
Foam systems for underbalanced and geothermal drilling: a critical review of stability challenges and research frontiers
Foam Stability Evaluation of a Biodegradable Surfactant with Green Polymeric Stabilizers for Underbalanced Drilling Fluids