Ушбу иш иқтибос қилган ишлар

63 та иш

Иш: Reliable estimation via hybrid gradient boosting machine for mud loss volume in drilling operations

Nanoparticle applications as beneficial oil and gas drilling fluid additives: A review
Mohammed Al-Shargabi, Shadfar Davoodi, David A. Wood +3
Шарҳ мақола20224 иқтибос
ABI
Сарлавҳасиз
Бошқа4 иқтибос
ABI
An efficient, cost-effective, and green natural extract in water-based drilling muds for clay swelling inhibition
Azeem Rana, Mobeen Murtaza, Tawfik A. Saleh +2
Мақола20224 иқтибос
ABI
Modeling Thermal-Induced Wellhead Growth Through the Lifecycle of a Well
Hao Yu, Zhaoyang Zhao, Arash Dahi Taleghani +2
Препринт20233 иқтибос
ABI
Coupling model of wellbore heat transfer and cuttings bed height during horizontal well drilling
Dong Xiao, Liping Chen, Xiaofeng Xu +6
Мақола20243 иқтибос
ABI
Prediction of Heart Disease Based on Robust Artificial Intelligence Techniques
Hamzeh Ghorbani, Alla Krasnikova, Parvin Ghorbani +7
Мақола20233 иқтибос
ABI
Effect of water-based drilling fluid components on filter cake structure
Rugang Yao, Guancheng Jiang, Wei Li +2
Мақола20143 иқтибос
ABI
Filter Cake Properties of Water-Based Drilling Fluids Under Static and Dynamic Conditions Using Computed Tomography Scan
Salaheldin Elkatatny, Mohamed Mahmoud, H. A. Nasr‐El‐Din
Мақола20133 иқтибос
ABI
Hybrid Machine-Learning Model for Accurate Prediction of Filtration Volume in Water-Based Drilling Fluids
Shadfar Davoodi, Mohammed Murif Al-Rubaii, David A. Wood +3
Мақола20243 иқтибос
ABI
Application of a New Hybrid Machine Learning (Fuzzy-PSO) for Detection of Breast’s Tumor
Hamzeh Ghorbani, Sahar Lajmorak, Simin Ghorbani +7
Мақола20232 иқтибос
ABI
Explainable artificial intelligence models for estimating the heat capacity of deep eutectic solvents
Saad Alatefi, Okorie Ekwe Agwu, Menad Nait Amar +1
Мақола20252 иқтибос
ABI
Сарлавҳасиз
Бошқа2 иқтибос
ABI
Explicit Data-Based Model for Predicting Oil-Based Mud Viscosity at Downhole Conditions
Ahmad Alkouh, Khaled A. Elraies, Okorie Ekwe Agwu +2
Мақола20242 иқтибос
ABI
Carbon capture using ionic liquids: An explicit data driven model for carbon (IV) Oxide solubility estimation
Okorie Ekwe Agwu, Saad Alatefi, Ahmad Alkouh +2
Мақола20242 иқтибос
ABI
Explicit and explainable artificial intelligent model for prediction of CO2 molecular diffusion coefficient in heavy crude oils and bitumen
Saad Alatefi, Okorie Ekwe Agwu, Ahmad Alkouh
Мақола20242 иқтибос
ABI
Evolving ANFIS model to estimate density of bitumen-tetradecane mixtures
Peyman Abbasi, Mohammad Madani, Alireza Baghban +1
Мақола20172 иқтибос
ABI
Prediction method of ground settlement for rectangular tunnel construction
Da Hu, Jing Liu, Yongsuo Li +1
Мақола20252 иқтибос
ABI
Filtration Behavior of Circulating Drilling Fluids
C. Bezemer, I. Havenaar
Мақола19662 иқтибос
ABI
Effects of particle-size distribution and solid additives in the apparent viscosity of drilling fluids
David Ribeiro do Nascimento, Beatriz Rosas de Oliveira, Victor G. P. Saide +3
Мақола20192 иқтибос
ABI
Drilling Fluid and Cement Slurry Design for Naturally Fractured Reservoirs
Nediljka Gaurina-Međimurec, Borivoje Pašić, Petar Mijić +1
Мақола20212 иқтибос
ABI
Reparameterization of static filtration model of aqueous-based drilling fluids for simultaneous estimation of compressible mudcake parameters
R.F.O. Borges, Bruno Francisco Oechsler, Beatriz Rosas de Oliveira +4
Мақола20212 иқтибос
ABI
Effect of Different Weighting Agents on Drilling Fluids and Filter Cake Properties in Sandstone Formations
Badr Bageri, Hany Gamal, Salaheldin Elkatatny +1
Мақола20212 иқтибос
ABI
Lost circulation prediction based on machine learning
Huiwen Pang, Han Meng, Hanqing Wang +3
Мақола20212 иқтибос
ABI
Extracting spatial effects from machine learning model using local interpretation method: An example of SHAP and XGBoost
Ziqi Li
Мақола20222 иқтибос
ABI
A review on the effect of nanoparticle in drilling fluid on filtration and formation damage
Mohamad Arif Ibrahim, Mohd Zaidi Jaafar, Muhammad Aslam Md Yusof +1
Шарҳ мақола20222 иқтибос
ABI