UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

Prediction of permeability from well logs using a new hybrid machine learning algorithm

Petroleum, 2023-03, Vol.9 (1), p.108-123

2023

Volltextzugriff (PDF)

Developing a New Model for Drilling Rate of Penetration Prediction Using Convolutional Neural Network

Arabian journal for science and engineering (2011), 2022-09, Vol.47 (9), p.11953-11985

2022

Volltextzugriff (PDF)

A new robust predictive model for lost circulation rate using convolutional neural network: A case study from Marun Oilfield

Petroleum, 2023-09, Vol.9 (3), p.468-485

2023

Volltextzugriff (PDF)

Machine-learning predictions of solubility and residual trapping indexes of carbon dioxide from global geological storage sites

Expert systems with applications, 2023-07, Vol.222, p.119796, Article 119796

2023

Volltextzugriff (PDF)

Reliability and Factor Structure of Social Paradigm Belief Inventory

Majallah-i ravānpizishkī va ravānshināsī-i bālīnī-i Īran, 2018-10

2018

Volltextzugriff (PDF)

Combined machine-learning and optimization models for predicting carbon dioxide trapping indexes in deep geological formations

Applied soft computing, 2023-08, Vol.143, p.110408, Article 110408

2023

Volltextzugriff (PDF)

Hybridized machine-learning for prompt prediction of rheology and filtration properties of water-based drilling fluids

Engineering applications of artificial intelligence, 2023-08, Vol.123, p.106459, Article 106459

2023

Volltextzugriff (PDF)

Machine-learning models to predict hydrogen uptake of porous carbon materials from influential variables

Separation and purification technology, 2023-07, Vol.316, p.123807, Article 123807

2023

Volltextzugriff (PDF)

Carbon dioxide sequestration through enhanced oil recovery: A review of storage mechanisms and technological applications

Fuel (Guildford), 2024-06, Vol.366, p.131313, Article 131313

2024

Volltextzugriff (PDF)

Predicting uniaxial compressive strength from drilling variables aided by hybrid machine learning

International journal of rock mechanics and mining sciences (Oxford, England : 1997), 2023-10, Vol.170, p.105546, Article 105546

2023

Volltextzugriff (PDF)

Robust hybrid machine learning algorithms for gas flow rates prediction through wellhead chokes in gas condensate fields

Fuel (Guildford), 2022-01, Vol.308, p.121872, Article 121872

2022

Volltextzugriff (PDF)

Machine learning insights to CO2-EOR and storage simulations through a five-spot pattern – a theoretical study

Expert systems with applications, 2024-09, Vol.250, p.123944, Article 123944

2024

Volltextzugriff (PDF)

Estimation of geomechanical rock characteristics from specific energy data using combination of wavelet transform with ANFIS-PSO algorithm

Journal of petroleum exploration and production technology, 2023-08, Vol.13 (8), p.1715-1740

2023

Volltextzugriff (PDF)

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

Journal of petroleum exploration and production technology, 2023-02, Vol.13 (2), p.661-689

2023

Volltextzugriff (PDF)

Adaptive neuro-fuzzy algorithm applied to predict and control multi-phase flow rates through wellhead chokes

Flow measurement and instrumentation, 2020-12, Vol.76, p.101849, Article 101849

2020

Volltextzugriff (PDF)

Carbon dioxide storage and cumulative oil production predictions in unconventional reservoirs applying optimized machine-learning models

Petroleum science, 2024-09

2024

Volltextzugriff (PDF)

Hybrid Machine-Learning Model for Accurate Prediction of Filtration Volume in Water-Based Drilling Fluids

Applied sciences, 2024-10, Vol.14 (19), p.9035

2024

Volltextzugriff (PDF)

A novel data-driven model for real-time prediction of static Young's modulus applying mud-logging data

Earth science informatics, 2024-09

2024

Volltextzugriff (PDF)

Robust Machine Learning Predictive Models for Real-Time Determination of Confined Compressive Strength of Rock Using Mudlogging Data

Rock mechanics and rock engineering, 2024-09, Vol.57 (9), p.6881-6907

2024

Volltextzugriff (PDF)

Combined deep-learning optimization predictive models for determining carbon dioxide solubility in ionic liquids

Journal of industrial information integration, 2024-09, Vol.41, p.100662, Article 100662

2024

Volltextzugriff (PDF)

A new approach to mechanical brittleness index modeling based on conventional well logs using hybrid algorithms

Earth science informatics, 2023-12, Vol.16 (4), p.3387-3416

2023

Volltextzugriff (PDF)

Developing a new rigorous drilling rate prediction model using a machine learning technique

Journal of petroleum science & engineering, 2020-09, Vol.192, p.107338, Article 107338

2020

Volltextzugriff (PDF)

Hybrid machine learning algorithms to enhance lost-circulation prediction and management in the Marun oil field

Journal of petroleum science & engineering, 2021-03, Vol.198, p.108125, Article 108125

2021

Volltextzugriff (PDF)

Estimating shear wave velocity in carbonate reservoirs from petrophysical logs using intelligent algorithms

Journal of petroleum science & engineering, 2022-05, Vol.212, p.110254, Article 110254

2022

Volltextzugriff (PDF)

A geomechanical approach to casing collapse prediction in oil and gas wells aided by machine learning

Journal of petroleum science & engineering, 2021-01, Vol.196, p.107811, Article 107811

2021

Volltextzugriff (PDF)

1 – 25 von 141

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(106)
Mit Volltextzugriff
(121)

Publikationsform

Sprache

Erscheinungsjahr

n.n

Thema

15 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

... seit 7 Tagen
(1)
... seit 30 Tagen
(3)

Menü

Weitere Dienste

Einstellungen

Prediction of permeability from well logs using a new hybrid machine learning algorithm

Developing a New Model for Drilling Rate of Penetration Prediction Using Convolutional Neural Network

A new robust predictive model for lost circulation rate using convolutional neural network: A case study from Marun Oilfield

Machine-learning predictions of solubility and residual trapping indexes of carbon dioxide from global geological storage sites

Reliability and Factor Structure of Social Paradigm Belief Inventory

Combined machine-learning and optimization models for predicting carbon dioxide trapping indexes in deep geological formations

Hybridized machine-learning for prompt prediction of rheology and filtration properties of water-based drilling fluids

Machine-learning models to predict hydrogen uptake of porous carbon materials from influential variables

Carbon dioxide sequestration through enhanced oil recovery: A review of storage mechanisms and technological applications

Predicting uniaxial compressive strength from drilling variables aided by hybrid machine learning

Robust hybrid machine learning algorithms for gas flow rates prediction through wellhead chokes in gas condensate fields

Machine learning insights to CO2-EOR and storage simulations through a five-spot pattern – a theoretical study

Estimation of geomechanical rock characteristics from specific energy data using combination of wavelet transform with ANFIS-PSO algorithm

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

Adaptive neuro-fuzzy algorithm applied to predict and control multi-phase flow rates through wellhead chokes

Carbon dioxide storage and cumulative oil production predictions in unconventional reservoirs applying optimized machine-learning models

Hybrid Machine-Learning Model for Accurate Prediction of Filtration Volume in Water-Based Drilling Fluids

A novel data-driven model for real-time prediction of static Young's modulus applying mud-logging data

Robust Machine Learning Predictive Models for Real-Time Determination of Confined Compressive Strength of Rock Using Mudlogging Data

Combined deep-learning optimization predictive models for determining carbon dioxide solubility in ionic liquids

A new approach to mechanical brittleness index modeling based on conventional well logs using hybrid algorithms

Developing a new rigorous drilling rate prediction model using a machine learning technique

Hybrid machine learning algorithms to enhance lost-circulation prediction and management in the Marun oil field

Estimating shear wave velocity in carbonate reservoirs from petrophysical logs using intelligent algorithms

A geomechanical approach to casing collapse prediction in oil and gas wells aided by machine learning

Suchergebnisse filtern