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Application of machine learning in wellbore stability prediction: A review
K Xu, Z Liu, Q Chen, Q Zhang, X Ling, X Cai… - Geoenergy Science and …, 2024 - Elsevier
Ensuring wellbore stability is vital for safe drilling and production in the process of oil
exploration and development. The current empirical formula and numerical simulation …
exploration and development. The current empirical formula and numerical simulation …
Machine learning technique for the prediction of shear wave velocity using petrophysical logs
Compressional wave velocity (Vp) and shear wave velocity (Vs) are widely used as quick,
easy to use, and cost-effective means of determining the mechanical properties of …
easy to use, and cost-effective means of determining the mechanical properties of …
Predicting shear wave velocity from conventional well logs with deep and hybrid machine learning algorithms
Shear wave velocity (VS) data from sedimentary rock sequences is a prerequisite for
implementing most mathematical models of petroleum engineering geomechanics …
implementing most mathematical models of petroleum engineering geomechanics …
Data driven model for sonic well log prediction
Near wellbore failure during the exploration of hydrocarbon reservoirs presents a serious
concern to the oil and gas industry. To predict the probability of these undesirable …
concern to the oil and gas industry. To predict the probability of these undesirable …
Estimating shear wave velocity in carbonate reservoirs from petrophysical logs using intelligent algorithms
Shear-wave velocity (V s) is a key petrophysical data for a wide spectrum of applications in
the upstream oil industry. In many wells, however, the corresponding log cannot be acquired …
the upstream oil industry. In many wells, however, the corresponding log cannot be acquired …
Predictive models and feature ranking in reservoir geomechanics: A critical review and research guidelines
MI Miah - Journal of Natural Gas Science and Engineering, 2020 - Elsevier
Comprehensive investigation and accurate models of geo-mechanical properties are crucial
to maintain wellbore stability and optimize the hydraulic fracturing process. This review …
to maintain wellbore stability and optimize the hydraulic fracturing process. This review …
Shear wave travel time estimation from petrophysical logs using ANFIS-PSO algorithm: A case study from Ab-Teymour Oilfield
M Anemangely, A Ramezanzadeh… - Journal of Natural Gas …, 2017 - Elsevier
Among petrophysical logs, shear wave velocity is known to provide more accurate results in
terms of mechanical rock properties. However, due to higher costs associated with acquiring …
terms of mechanical rock properties. However, due to higher costs associated with acquiring …
A novel approach to pore pressure modeling based on conventional well logs using convolutional neural network
M Matinkia, A Amraeiniya, MM Behboud… - Journal of Petroleum …, 2022 - Elsevier
Accurate prediction of pore pressure (PP) is among the most critical concerns to the design
of drilling operation because of the remarkable role of this parameter in preventing particular …
of drilling operation because of the remarkable role of this parameter in preventing particular …
Improved determination of the S-wave velocity of rocks in dry and saturated conditions: Application of machine-learning algorithms
M Rezaei, SR Ahmadi, H Nguyen… - Transportation …, 2024 - Elsevier
The determination of S-wave velocity (V s) is of significant importance in various engineering
disciplines, including mining, civil, and geotechnical engineering. It is beneficial to indirectly …
disciplines, including mining, civil, and geotechnical engineering. It is beneficial to indirectly …
Data-driven S-wave velocity prediction method via a deep-learning-based deep convolutional gated recurrent unit fusion network
J Wang, J Cao - Geophysics, 2021 - library.seg.org
The S-wave velocity (VS) is a fundamental parameter in geophysical analysis, prestack
seismic inversion, and reservoir prediction. For various reasons, the availability of directly …
seismic inversion, and reservoir prediction. For various reasons, the availability of directly …