Wellbore instability management using geomechanical modeling and wellbore stability analysis for Zubair shale formation in Southern Iraq

RH Allawi, MS Al-Jawad - Journal of Petroleum Exploration and …, 2021 - Springer
Wellbore instability problems cause nonproductive time, especially during drilling operations
in the shale formations. These problems include stuck pipe, caving, lost circulation, and the …

Stress path analysis for characterization of in situ stress state and effect of reservoir depletion on present-day stress magnitudes: reservoir geomechanical modeling in …

A Radwan, S Sen - Natural Resources Research, 2021 - Springer
A reservoir geomechanical modeling has been attempted in the hydrocarbon-bearing
Miocene formations in the offshore Badri field, Gulf of Suez, Egypt. Pore pressure …

Effect of depletion and fluid injection in the Mesozoic and Paleozoic sandstone reservoirs of the October Oil Field, Central Gulf of Suez Basin: Implications on drilling …

AA Kassem, S Sen, AE Radwan… - Natural Resources …, 2021 - Springer
This work attempted to understand the behavior of the Upper Cretaceous Nezzazat and
Lower Cretaceous–Carboniferous Nubia sandstone reservoirs in response to production …

An integrated approach for estimating static Young's modulus using artificial intelligence tools

S Elkatatny, Z Tariq, M Mahmoud… - Neural Computing and …, 2019 - Springer
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 …

Penetration rate prediction for diamond bit drilling by adaptive neuro-fuzzy inference system and multiple regressions

H Basarir, L Tutluoglu, C Karpuz - Engineering Geology, 2014 - Elsevier
In many mining, civil, and petroleum engineering applications diamond bit drilling is widely
used due to high penetration rate, core recovery and its ability to drill with less deviation …

Application of artificial intelligence techniques to estimate the static Poisson's ratio based on wireline log data

S Elkatatny - Journal of Energy Resources …, 2018 - asmedigitalcollection.asme.org
Static Poisson's ratio (ν static) is a key factor in determine the in-situ stresses in the reservoir
section. ν static is used to calculate the minimum horizontal stress which will affect the …

[HTML][HTML] Estimation of rock uniaxial compressive strength for an Iranian carbonate oil reservoir: Modeling vs. artificial neural network application

M Hassanvand, S Moradi, M Fattahi, G Zargar… - Petroleum …, 2018 - Elsevier
Estimation of rock mechanic parameters is an important issue in reservoir management.
Uniaxial compressive strength (UCS) and elastic modulus are the most important factors in …

Estimation of static young's modulus for sandstone formation using artificial neural networks

AA Mahmoud, S Elkatatny, A Ali, T Moussa - Energies, 2019 - mdpi.com
In this study, we used artificial neural networks (ANN) to estimate static Young's modulus
(Estatic) for sandstone formation from conventional well logs. ANN design parameters were …

[PDF][PDF] Rock Mechanical Properties: A Review of Experimental Tests and Prediction Approaches

DS Mahdi, AAA A Alrazzaq - Iraqi Journal of Oil and Gas Research (IJOGR), 2023 - iasj.net
The state of the economy today highlights the requirement for better engineering designs in
drilling, well completion, and reservoir production processes. Continuous profiles of rock …

A neuro-genetic network for predicting uniaxial compressive strength of rocks

M Monjezi, H Amini Khoshalan, M Razifard - Geotechnical and Geological …, 2012 - Springer
Abstract Uniaxial Compressive Strength (UCS) is considered as one of the most important
parameters in designing rock structures. Determination of this parameter requires …