Cover Image

Estimating oil recovery factor using machine learning: Applications of XGBoost classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Roustazadeh, Alireza, Ghanbarian, Behzad, Male, Frank, Shadmand, Mohammad B., Taslimitehrani, Vahid, Lake, Larry W.
Format:	Preprint
Published:	2022
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scaling mean annual peak flow scaling with upstream basin area
by: Ghanbarian, Behzad
Published: (2024)

Non‐Linearity in Mean Annual Peak Flow Scaling With Upstream Basin Area: Insights From Percolation Theory
by: Behzad Ghanbarian
Published: (2024)

Regional-Scale Estimation of Soil Hydraulic Conductivity Using the Kansas Mesonet
by: Ghanbarian, Behzad, et al.
Published: (2026)

Estimating saturated hydraulic conductivity of soil samples from Kansas mesonet database
by: Behzad Ghanbarian, et al.
Published: (2026)

Quantum-Enhanced Vision Transformer for Flood Detection using Remote Sensing Imagery
by: Maity, Soumyajit, et al.
Published: (2026)

Numerical Simulations of Geomechanical Deformation, Fluid Flow and Reactive Transport in Shale Rough-Walled Microfractures
by: Heydari, Morteza, et al.
Published: (2024)

Investigating the impact of climate variables on the organic honey yield in Turkey using XGBoost machine learning
by: Ayca Nur Sahin Demirel
Published: (2024)

Investigating heterogeneity of cognitive and functional decline using Subtype and Stage Inference machine learning
by: Kellen K. Petersen, et al.
Published: (2024)

Detection of obstructions in oil and gas pipelines: machine learning techniques for hydrate classification
by: de Brito, Hellockston Gomes, et al.
Published: (2025)

Compositional learning of functions in humans and machines
by: Zhou, Yanli, et al.
Published: (2024)

Boundary-Induced Biases in Climate Networks of Extreme Precipitation and Temperature
by: Ghanbarian, Behzad, et al.
Published: (2026)

Text classification using machine learning methods
by: Oancea, Bogdan
Published: (2025)

Optimization on selecting XGBoost hyperparameters using meta‐learning
by: Tiago Lima Marinho, et al.
Published: (2024)

Spectral classification of brown dwarfs using machine learning
by: Callen, A. R., et al.
Published: (2026)

Acylation stimulating protein/C3adesArg in the metabolic states: role of adipocyte dysfunction in obesity complications
by: Reza Rezvani, et al.
Published: (2024)

Enhancing Precision of Automated Teller Machines Network Quality Assessment: Machine Learning and Multi Classifier Fusion Approaches
by: Safarzadeh, Alireza, et al.
Published: (2025)

Capacity Results for Intermittent X-Channels with Delayed Channel State Feedback
by: Vahid, Alireza
Published: (2018)

Capacity-Maximizing Dynamic User Association in Double RIS-Aided Broadcast Networks
by: Vahid, Alireza
Published: (2024)

XGBoost machine learning assisted prediction of the mechanical and fracture properties of unvulcanized and dynamically vulcanized PP / EPDM reinforced with clay and halloysite nanoparticles
by: Pouya Rajaee, et al.
Published: (2024)

Automated classification of individual atoms on surfaces using machine learning
by: Lafleur, Angéline, et al.
Published: (2024)

Simultaneous use of disulphide oil for chemical‐enhanced oil recovery by emulsion formation and stability with asphaltene deposition control
by: Shahriar Jahani, et al.
Published: (2024)

Application of quantum machine learning using quantum kernel algorithms on multiclass neuron M type classification
by: Vasques, Xavier, et al.
Published: (2025)

Quantum machine learning for image classification
by: Senokosov, Arsenii, et al.
Published: (2023)

Band-unknotting numbers and connected sums of knots
by: Ghanbarian, Nakisa, et al.
Published: (2025)

Online classification of user activities using machine learning on network traffic
by: Victor, Labayen, et al.
Published: (2020)

MAC protocol classification in the ISM band using machine learning methods
by: Rashidpour, Hanieh, et al.
Published: (2024)

Modeling and scaling spontaneous imbibition with generalized fractional flow theory and non-Boltzmann transformation
by: Senevirathna, Shaluka, et al.
Published: (2024)

On the definition and importance of interpretability in scientific machine learning
by: Rowan, Conor, et al.
Published: (2025)

Estimation of oil recovery due to wettability changes in carbonate reservoirs
by: Alvarez, A. C., et al.
Published: (2025)

Preference of effective factors in suitable selection of microtunnel boring machines (mtbm) by using the fuzzy analytic hierarchy process (fahp) approach
by: Alireza Jafari
Published: (2011)

Eclipsing binary classification with machine learning techniques
by: Keskin, Bedri, et al.
Published: (2026)

Tissue classification from raw diffusion‐weighted images using machine learning
by: Guangyu Dan, et al.
Published: (2025)

Bayesian probabilistic machine learning analysis of ceramic‐coated ultra‐high‐temperature carbon/carbon composites
by: Vahid Daghigh, et al.
Published: (2025)

Interpretable machine‐learning models for predicting creep recovery of concrete
by: Shengqi Mei, et al.
Published: (2024)

Development of autism spectrum disorders classification model for toddlers using machine learning technique
by: Mona Khalifa A. Aljero
Published: (2025)

A novel freezing crystallization‐HPLC method combined with machine learning for determining pigments and geographical classification of extra virgin olive oil
by: Cong‐Hui Lu, et al.
Published: (2025)

physics-informed machine learning for accurate and interpretable prediction of droplet size in flow-focusing microfluidics
by: Rhdar, Afshin, et al.
Published: (2026)

Estimating the mass of galactic components using machine learning algorithms
by: Sanchez, Jessica N. Lopez, et al.
Published: (2024)

Predicting carbon and oil price returns using hybrid models based on machine and deep learning
by: Jesús Molina‐Muñoz, et al.
Published: (2024)

Comparison of machine learning models for classifying edible oils using Fourier‐transform infrared spectroscopy
by: Hyeona Lim, et al.
Published: (2024)