Cargando…

The Role of Drilled Formation in Filter Cake Properties Utilizing Different Weighting Materials

[Image: see text] The filter cake formed during a filtration process plays a vital role in the success of a drilling operation. There are several factors affecting the filter cake build-up such as drilled formation, drilling fluid properties, and well pressure and temperature. The collective impact...

Descripción completa

Detalles Bibliográficos
Autores principales:	Al Jaber, Jaber, Bageri, Badr S., Gamal, Hany, Elkatatny, Salaheldin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	American Chemical Society 2021
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8459423/ https://www.ncbi.nlm.nih.gov/pubmed/34568682 http://dx.doi.org/10.1021/acsomega.1c03210

Ejemplares similares

Effect of Different Weighting Agents on Drilling Fluids and Filter Cake Properties in Sandstone Formations
por: Bageri, Badr S., et al.
Publicado: (2021)

Improving the filtration properties for manganese tetroxide mud utilizing perlite particles to drill wide-range permeability sandstone formation
por: Al Jaberi, Jaber B., et al.
Publicado: (2022)

Primary Investigation of Barite-Weighted Water-Based Drilling Fluid Properties
por: Al Jaberi, Jaber, et al.
Publicado: (2023)

Investigating the Alteration of Sandstone Pore System and Rock Features by Role of Weighting Materials
por: Gamal, Hany, et al.
Publicado: (2021)

Minimizing the Barite Scale in Carbonate Formations during the Filter Cake Removal Process
por: Jaberi, Jaber Al, et al.
Publicado: (2022)

Exposure Time Impact on the Geomechanical Characteristics of Sandstone Formation during Horizontal Drilling
por: Gamal, Hany, et al.
Publicado: (2020)

Machine Learning Solution for Predicting Vibrations while Drilling the Curve Section
por: Saadeldin, Ramy, et al.
Publicado: (2023)

Machine Learning Models for Equivalent Circulating Density Prediction from Drilling Data
por: Gamal, Hany, et al.
Publicado: (2021)

Detecting downhole vibrations through drilling horizontal sections: machine learning study
por: Saadeldin, Ramy, et al.
Publicado: (2023)

Effect of Perlite Particles on Barite Cement Properties
por: Adjei, Stephen, et al.
Publicado: (2021)

Impact of Perlite on the Properties and Stability of Water-Based Mud in Elevated-Temperature Applications
por: Mohamed, Abdelmjeed, et al.
Publicado: (2020)

Intelligent Prediction for Rock Porosity While Drilling Complex Lithology in Real Time
por: Gamal, Hany, et al.
Publicado: (2021)

Complex barite filter cake removal using in-situ generated acids by thermochemicals
por: Bageri, Badr S., et al.
Publicado: (2020)

Real-time prediction of Poisson’s ratio from drilling parameters using machine learning tools
por: Siddig, Osama, et al.
Publicado: (2021)

A Combined Barite–Ilmenite Weighting Material to Prevent Barite Sag in Water-Based Drilling Fluid
por: Basfar, Salem, et al.
Publicado: (2019)

Real-time prediction of formation pressure gradient while drilling
por: Abdelaal, Ahmed, et al.
Publicado: (2022)

Micronized calcium carbonate to enhance water-based drilling fluid properties
por: Basfar, Salem, et al.
Publicado: (2023)

Applications of Different Classification Machine Learning Techniques to Predict Formation Tops and Lithology While Drilling
por: Ibrahim, Ahmed Farid, et al.
Publicado: (2023)

Evaluation of Using Fly Ash as a Weighing Material for Oil-Based Drilling Fluid
por: Basfar, Salem, et al.
Publicado: (2023)

Investigation of Filter Cake Evolution in Carbonate Formation Using Polymer-Based Drilling Fluid
por: Magzoub, Musaab I., et al.
Publicado: (2021)

Influence of Weighting Materials on the Properties of Oil-Well Cement
por: Ahmed, Abdulmalek, et al.
Publicado: (2020)

Application of Silicomanganese Fume as a Novel Bridging Material for Water-Based Drilling Fluids
por: Razzaq, Waseem, et al.
Publicado: (2022)

Data-Driven Modeling Approach for Pore Pressure Gradient Prediction while Drilling from Drilling Parameters
por: Abdelaal, Ahmed, et al.
Publicado: (2021)

Role of Rock Saturation Condition on Rock–Mud Interaction: Sandstone Geomechanics Study
por: Gamal, Hany, et al.
Publicado: (2022)

Machine Learning Model for Monitoring Rheological Properties of Synthetic Oil-Based Mud
por: Alsabaa, Ahmed, et al.
Publicado: (2022)

Real-Time Prediction of Rheological Properties of Invert Emulsion Mud Using Adaptive Neuro-Fuzzy Inference System
por: Alsabaa, Ahmed, et al.
Publicado: (2020)

Application of Organoclays in Oil-Based Drilling Fluids: A Review
por: Mahmoud, Ali, et al.
Publicado: (2023)

Innovative Applications of Red Mud: Converting an Environmental Challenge to a Drilling Asset
por: AlBoraikan, Reem, et al.
Publicado: (2022)

Data-Driven Framework for Real-time Rheological Properties Prediction of Flat Rheology Synthetic Oil-Based Drilling Fluids
por: Abdelaal, Ahmed, et al.
Publicado: (2023)

Applications of Artificial Intelligence for Static Poisson's Ratio Prediction While Drilling
por: Ahmed, Ashraf, et al.
Publicado: (2021)

Effect of the Filtrate Fluid of Water-Based Mud on Sandstone Rock Strength and Elastic Moduli
por: Gamal, Hany, et al.
Publicado: (2020)

The role of overbalance pressure on mud induced alteration of sandstone rock pore system
por: Gamal, Hany, et al.
Publicado: (2022)

Application of Machine Learning Methods in Modeling the Loss of Circulation Rate while Drilling Operation
por: Alsaihati, Ahmed, et al.
Publicado: (2022)

Development of a Unique Organic Acid Solution for Removing Composite Field Scales
por: Gamal, Hany, et al.
Publicado: (2021)

Improvement of Hydrogen Sulfide Scavenging via the Addition of Monoethanolamine to Water-Based Drilling Fluids
por: Ahmed, Ashraf, et al.
Publicado: (2022)

Estimation of rocks’ failure parameters from drilling data by using artificial neural network
por: Siddig, Osama, et al.
Publicado: (2023)

Prediction of the Least Principal Stresses Using Drilling Data: A Machine Learning Application
por: Gowida, Ahmed, et al.
Publicado: (2021)

Newly Developed Correlations to Predict the Rheological Parameters of High-Bentonite Drilling Fluid Using Neural Networks
por: Gowida, Ahmed, et al.
Publicado: (2020)

Improving Saudi Class G Oil-Well Cement Properties Using the Tire Waste Material
por: Ahmed, Abdulmalek, et al.
Publicado: (2020)

Mixed Micromax and hematite-based fly ash geopolymer for heavy-weight well cementing
por: Abdelaal, Ahmed, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_mi3dss9nk70ja0fqhjjspsd669