[HTML][HTML] Drilling in complex pore pressure regimes: analysis of wellbore stability applying the depth of failure approach
AE Radwan - Energies, 2022 - mdpi.com
Most old oil and gas fields worldwide are depleted, making drilling in these sedimentary
zones extremely difficult, especially in complex pore pressure regimes when they are …
zones extremely difficult, especially in complex pore pressure regimes when they are …
[HTML][HTML] Real-time prediction of rheological properties of invert emulsion mud using adaptive neuro-fuzzy inference system
Tracking the rheological properties of the drilling fluid is a key factor for the success of the
drilling operation. The main objective of this paper is to relate the most frequent mud …
drilling operation. The main objective of this paper is to relate the most frequent mud …
Experimental studies of well integrity in cementing during underground hydrogen storage
Abstract Underground Hydrogen Storage (UHS) in the subsurface is an alternative to
overcome limitations associated with a fluctuating production of renewable energy sources …
overcome limitations associated with a fluctuating production of renewable energy sources …
New approach to optimize the rate of penetration using artificial neural network
S Elkatatny - Arabian Journal for Science and Engineering, 2018 - Springer
Rate of penetration (ROP) is one of the most important parameters of the drilling operation.
Optimizing the ROP will reduce the overall cost of the drilling process. ROP depends on …
Optimizing the ROP will reduce the overall cost of the drilling process. ROP depends on …
Dynamic risk modeling of complex hydrocarbon production systems
This study presents a dynamic risk modeling strategy for a hydrocarbon sub-surface
production system under a gas lift mechanism. A data-driven probabilistic methodology is …
production system under a gas lift mechanism. A data-driven probabilistic methodology is …
Application of artificial neural network to predict the rate of penetration for S-shape well profile
A Al-Abduljabbar, H Gamal, S Elkatatny - Arabian Journal of Geosciences, 2020 - Springer
The rate of penetration (ROP) is defined as the required speed to break the drilled rock by
the bit action. The existing established models for estimating the rate of penetration include …
the bit action. The existing established models for estimating the rate of penetration include …
An integrated approach for estimating static Young's modulus using artificial intelligence tools
Elastic parameters play a key role in managing the drilling and production operations.
Determination of the elastic parameters is very important to avoid the hazards associated …
Determination of the elastic parameters is very important to avoid the hazards associated …
New correlations for better monitoring the all-oil mud rheology by employing artificial neural networks
The rheological properties of the drilling fluid are crucial to the success of the drilling project.
The traditional mud experiments normally performed by the mud engineers provide …
The traditional mud experiments normally performed by the mud engineers provide …
Machine learning models for equivalent circulating density prediction from drilling data
Equivalent circulating density (ECD) is considered a critical parameter during the drilling
operation, as it could lead to severe problems related to the well control such as fracturing …
operation, as it could lead to severe problems related to the well control such as fracturing …
Coupling rate of penetration and mechanical specific energy to Improve the efficiency of drilling gas wells
Drilling operations for oil or gas wells are very expensive. Optimizing the drilling efficiency
and increasing the rate of penetration (ROP) will reduce the overall cost of the drilling …
and increasing the rate of penetration (ROP) will reduce the overall cost of the drilling …