Enhanced group method of data handling (GMDH) for permeability prediction based on the modified Levenberg Marquardt technique from well log data

AK Mulashani, C Shen, BM Nkurlu, CN Mkono… - Energy, 2022 - Elsevier
Permeability is the key variable for reservoir characterization used for estimating the flow
patterns and volume of hydrocarbons. Modern computer advancement has highlighted the …

Permeability prediction of heterogeneous carbonate gas condensate reservoirs applying group method of data handling

MZ Kamali, S Davoodi, H Ghorbani, DA Wood… - Marine and Petroleum …, 2022 - Elsevier
Carbonate petroleum reservoirs typically have lower permeabilities and recovery factors
than sandstone reservoirs, so the natural fractures they often incorporate have positive …

Accurate determination of permeability in carbonate reservoirs using Gaussian Process Regression

M Mahdaviara, A Rostami, F Keivanimehr… - Journal of Petroleum …, 2021 - Elsevier
The knowledge of reservoir permeability determination is increasingly important in
petroleum engineering. Understanding the alteration of the abovementioned parameter as a …

Universal intelligent models for liquid density of CO2+ hydrocarbon mixtures

MA Moradkhani, SH Hosseini, K Ranjbar - Fuel, 2023 - Elsevier
Developing precise predictive methods for liquid density of CO 2+ hydrocarbon mixtures is
vital to model, optimize, and design of the enhanced oil recovery (EOR) and the CO 2 …

Modeling hydrogen solubility in water: Comparison of adaptive boosting support vector regression, gene expression programming, and cubic equations of state

Q Lv, T Zhou, H Zheng, B Amiri-Ramsheh… - International Journal of …, 2024 - Elsevier
Predicting the solubility of hydrogen (H 2) in aqueous solutions is crucial for studying
reactions of hydrogen in the formation, which also affects the security and optimal design of …

Prediction of permeability of highly heterogeneous hydrocarbon reservoir from conventional petrophysical logs using optimized data-driven algorithms

A Sheykhinasab, AA Mohseni… - Journal of Petroleum …, 2023 - Springer
Permeability is an important parameter in the petrophysical study of a reservoir and serves
as a key tool in the development of an oilfield. This is while its prediction, especially in …

New insights into permeability determination by coupling Stoneley wave propagation and conventional petrophysical logs in carbonate oil reservoirs

A Rostami, A Kordavani, S Parchekhari… - Scientific Reports, 2022 - nature.com
The need to determine permeability at different stages of evaluation, completion,
optimization of Enhanced Oil Recovery (EOR) operations, and reservoir modeling and …

Modeling Permeability Using Advanced White-Box Machine Learning Technique: Application to a Heterogeneous Carbonate Reservoir

L Zhao, Y Guo, E Mohammadian… - ACS …, 2023 - ACS Publications
From exploration to production, the permeability of reservoir rocks is essential for various
stages of all types of hydrocarbon field development. In the absence of costly reservoir rock …

On the evaluation of permeability of heterogeneous carbonate reservoirs using rigorous data-driven techniques

M Mahdaviara, A Larestani, MN Amar… - Journal of Petroleum …, 2022 - Elsevier
This study probes the application of Cascade Forward Neural Network (CFNN), Least
Square Support Vector Machine (LSSVM), Multilayer Perceptron (MLP), and Generalized …

Comparing Artificial Intelligence Algorithms with Empirical Correlations in Shear Wave Velocity Prediction

M Khalilidermani, D Knez - Applied Sciences, 2023 - mdpi.com
Accurate estimation of shear wave velocity (V s) is crucial for modeling hydrocarbon
reservoirs. The V s values can be directly measured using the Dipole Shear Sonic Imager …