Assessing the Relation between Mud Components and Rheology for Loss Circulation Prevention Using Polymeric Gels: A Machine Learning Approach

Investigation of the Rheological Properties of Nanosilica-Reinforced Polyacrylamide/Polyethyleneimine Gels for Wellbore Strengthening at High Reservoir Temperatures

(2019) Mohamed Shamlooh et al.   ENERGY & FUELS

A practical method for determining the rheology of drilling fluid

(2019) J.A. Andaverde et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Polymeric formulations used for loss circulation materials and wellbore strengthening applications in oil and gas wells: A review

(2019) Ahmed Hamza et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Loss circulation in drilling and well construction: The significance of applications of crosslinked polymers in wellbore strengthening: A review

(2019) Musaab I. Magzoub et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Modelling the effect of mudstone cuttings on rheological properties of KCl/Polymer water-based drilling fluid

(2018) Hui Du et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Experimental and statistical investigation of drilling fluids loss in porous media–part 1

(2018) Chinedum Peter Ezeakacha et al.   Journal of Natural Gas Science and Engineering

Evaluation of coupled machine learning models for drilling optimization

(2018) Chiranth Hegde et al.   Journal of Natural Gas Science and Engineering

Gelation of Emulsified Polyacrylamide/Polyethylenimine under High-Temperature, High-Salinity Conditions: Rheological Investigation

(2018) Abdelhalim I. A. Mohamed et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

A Comparative Assessment of Artificial Neural Network, Generalized Regression Neural Network, Least-Square Support Vector Regression, and K-Nearest Neighbor Regression for Monthly Streamflow Forecasting in Linear and Nonlinear Conditions

(2017) Fereshteh Modaresi et al.   WATER RESOURCES MANAGEMENT

Characterization of drilling fluids filtration through integrated laboratory experiments and CFD modeling

(2016) Saeed Salehi et al.   Journal of Natural Gas Science and Engineering

Cellulose Nanocrystals and Polyanionic Cellulose as Additives in Bentonite Water-Based Drilling Fluids: Rheological Modeling and Filtration Mechanisms

(2015) Mei-Chun Li et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

A gradient boosting method to improve travel time prediction

(2015) Yanru Zhang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Determination of drilling fluid rheology under downhole conditions by using real-time distributed pressure data

(2015) Ali Karimi Vajargah et al.   Journal of Natural Gas Science and Engineering

Data science and prediction

(2013) Vasant Dhar   COMMUNICATIONS OF THE ACM

Polymer Systems for Water Shutoff and Profile Modification: A Review Over the Last Decade

(2013) Khalid Saad M. El-karsani et al.   SPE JOURNAL

Gradient boosting machines, a tutorial

(2013) Alexey Natekin et al.   Frontiers in Neurorobotics

Shale problems and water-based drilling fluid optimisation in the Hassi Messaoud Algerian oil field

(2010) Mohamed Khodja et al.   APPLIED CLAY SCIENCE

Definition of the concept of polymer gel

(2008) L. Z. Rogovina et al.   POLYMER SCIENCE SERIES C