Synthetic well logs generation via Recurrent Neural Networks
To supplement missing logging information without increasing economic cost, a machine
learning method to generate synthetic well logs from the existing log data was presented …
learning method to generate synthetic well logs from the existing log data was presented …
[HTML][HTML] Shear wave velocity prediction: A review of recent progress and future opportunities
Shear logs, also known as shear velocity logs, are used for various types of seismic
analysis, such as determining the relationship between amplitude variation with offset (AVO) …
analysis, such as determining the relationship between amplitude variation with offset (AVO) …
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 …
Physics-constrained deep learning of geomechanical logs
Geomechanical logs are of ultimate importance for subsurface description and evaluation,
as well as for the exploration of underground resources, such as oil and gas, groundwater …
as well as for the exploration of underground resources, such as oil and gas, groundwater …
Multi‐Scale Geomechanical Modelling of Unconventional Shale Gas: The Implication on Assisting Geophysics–Geology–Engineering Integration
Y **ao, C Liang, D Zhu, C Zou, J Yan… - International Journal of …, 2024 - Wiley Online Library
In the development of unconventional shale play, simulation of the performance for wells
needs to incorporate sufficient complexity in geology to take fully into account the …
needs to incorporate sufficient complexity in geology to take fully into account the …
Remaining life estimation of used components in consumer products: Life cycle data analysis by Weibull and artificial neural networks
Environmental awareness and legislative pressures have made manufacturers responsible
for the take-back and end-of-life treatment of their products. To competitively exploit these …
for the take-back and end-of-life treatment of their products. To competitively exploit these …
Prediction of shear wave velocity from petrophysical data utilizing intelligent systems: An example from a sandstone reservoir of Carnarvon Basin, Australia
MR Rezaee, AK Ilkhchi, A Barabadi - Journal of Petroleum Science and …, 2007 - Elsevier
Shear wave velocity (Vs) associated with compressional wave velocity (Vp) can provide
accurate data for geophysical study of a reservoir. These so called petroacoustic studies …
accurate data for geophysical study of a reservoir. These so called petroacoustic studies …
Development of a fuzzy model to predict flyrock in surface mining
Flyrock is one of the most hazardous side effects of blasting operation in surface mining.
This phenomenon can be considered as the main cause of casualties and damages …
This phenomenon can be considered as the main cause of casualties and damages …
S-wave velocity inversion and prediction using a deep hybrid neural network
J Wang, J Cao, S Zhao, Q Qi - Science China Earth Sciences, 2022 - Springer
The S-wave velocity is a critical petrophysical parameter in reservoir description, prestack
seismic inversion, and geomechanical analysis. However, obtaining the S-wave velocity …
seismic inversion, and geomechanical analysis. However, obtaining the S-wave velocity …
Intelligent approaches for prediction of compressional, shear and Stoneley wave velocities from conventional well log data: A case study from the Sarvak carbonate …
Compressional, shear and Stoneley wave velocities (Vp, Vs and Vst, respectively) are
important reservoir characteristics that have many applications in petrophysical, geophysical …
important reservoir characteristics that have many applications in petrophysical, geophysical …