Cargando…
Data-Driven Modeling Approach for Pore Pressure Gradient Prediction while Drilling from Drilling Parameters
[Image: see text] Real-time prediction of the formation pressure gradient is critical mainly for drilling operations. It can enhance the quality of decisions taken and the economics of drilling operations. The pressure while drilling tool can be used to provide pressure data while drilling, but the...
Autores principales: | Abdelaal, Ahmed, Elkatatny, Salaheldin, Abdulraheem, Abdulazeez |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2021
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8173558/ https://www.ncbi.nlm.nih.gov/pubmed/34095673 http://dx.doi.org/10.1021/acsomega.1c01340 |
Ejemplares similares
-
Real-time prediction of formation pressure gradient while drilling
por: Abdelaal, Ahmed, et al.
Publicado: (2022) -
Intelligent Prediction for Rock Porosity While Drilling Complex Lithology in Real Time
por: Gamal, Hany, et al.
Publicado: (2021) -
Real-time prediction of Poisson’s ratio from drilling parameters using machine learning tools
por: Siddig, Osama, et al.
Publicado: (2021) -
Exposure Time Impact on the Geomechanical Characteristics of Sandstone Formation during Horizontal Drilling
por: Gamal, Hany, et al.
Publicado: (2020) -
Data-Driven Framework
for Real-time Rheological Properties
Prediction of Flat Rheology Synthetic Oil-Based Drilling Fluids
por: Abdelaal, Ahmed, et al.
Publicado: (2023)