Работы, на которые ссылается эта работа

Работ: 71

Работа: Predicting filter cake thickness in drilling fluids using machine learning techniques

Effects of surface modified nanosilica on drilling fluid and formation damage
Seyed Hasan Hajiabadi, Pavel Bedrikovetsky, Hassan Mahani +4
Статья2020Цитирований: 4
ABI
Design and study of mine silo drainage method based on fuzzy control and Avoiding Peak Filling Valley strategy
Meng Wang, Jiaxu Kang, Weiwei Liu +7
Статья2024Цитирований: 4
ABI
Optimization of the Random Forest Algorithm
Niva Mohapatra, K. Shreya, Ayes Chinmay
Глава2020Цитирований: 3
ABI
Experimental investigation of the effects of SnO<sub>2</sub> nanoparticles and KCl salt on a water base drilling fluid properties
Amirhossein Parizad, Khalil Shahbazi
Статья2016Цитирований: 3
ABI
Dynamic filtration of drilling fluids and fluid loss under axially rotating crossflow filtration
Hafez Balavi, Yaman Boluk
Статья2017Цитирований: 3
ABI
A critical review of drilling mud rheological models
Okorie Ekwe Agwu, Julius U. Akpabio, Moses E. Ekpenyong +4
Обзорная статья2021Цитирований: 3
ABI
Developing a Thermally Stable Ester-Based Drilling Fluid for Offshore Drilling Operations by Using Aluminum Oxide Nanorods
A. H. M. Ahmed, Amin Sharifi Haddad, Roozbeh Rafati +3
Статья2021Цитирований: 3
ABI
Friction reduction of Al2O3, SiO2, and TiO2 nanoparticles added to non-Newtonian water based mud in a rotating medium
Biltayib Misbah, Ahmad Sedaghat, Masoud Rashidi +5
Статья2022Цитирований: 3
ABI
LA-ICP-MS analyses of trace elements in zoned sphalerite: A study from the Maoping carbonate-hosted Pb-Zn(-Ge) deposit, southwest China
Lei Wang, Yan Zhang, Runsheng Han +1
Статья2023Цитирований: 3
ABI
Effect of water-based drilling fluid components on filter cake structure
Rugang Yao, Guancheng Jiang, Wei Li +2
Статья2014Цитирований: 3
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
Статья2013Цитирований: 3
ABI
A Survey on ensemble learning under the era of deep learning
Yongquan Yang, Haijun Lv, Ning Chen
Статья2022Цитирований: 3
ABI
Effect of Drilling Fluid Filter Cake Thickness And Permeability On Cement Slurry Fluid Loss
James Griffith, Samuel Osisanya
Статья1999Цитирований: 2
ABI
IMPROVEMENT OF DRILLING FLUID FOR CONSTRUCTION OF WELLS
R.S. Shaymanova, M.K. Urazov, D.N. Yuldosheva +2
Статья2022Цитирований: 2
ABI
Filtration Behavior of Circulating Drilling Fluids
C. Bezemer, I. Havenaar
Статья1966Цитирований: 2
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
Статья2019Цитирований: 2
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
Статья2021Цитирований: 2
ABI
Effect of Different Weighting Agents on Drilling Fluids and Filter Cake Properties in Sandstone Formations
Badr Bageri, Hany Gamal, Salaheldin Elkatatny +1
Статья2021Цитирований: 2
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
Обзорная статья2022Цитирований: 2
ABI
Uncovering anaerobic oxidation of methane and active microorganisms in landfills by using stable isotope probing
Yixuan Chu, Xin Zhang, Xudong Tang +2
Статья2025Цитирований: 2
ABI
Mechanism of quartz flotation separation from gypsum using tetradecyl trimethyl ammonium chloride: Guiding the improvement of phosphogypsum quality
Haodong Shi, Liuyi Ren, Shenxu Bao +7
Статья2025Цитирований: 2
ABI
Appraising the impacts of SiO2, ZnO and TiO2 nanoparticles on rheological properties and shale inhibition of water-based drilling muds
Ali Esfandyari Bayat, Reza Shams
Статья2019Цитирований: 2
ABI
Application of carbon coated bentonite composite as an ultra-high temperature filtration reducer in water-based drilling fluid
Hanyi Zhong, Ying Guan, Zhengsong Qiu +3
Статья2023Цитирований: 2
ABI
Improving the Diagnosis of Liver Disease Using Multilayer Perceptron Neural Network and Boosted Decision Trees
Moloud Abdar, Neil Y. Yen, Jason C. Hung
Статья2017Цитирований: 2
ABI
Multilayer perceptron neural network model development for mechanical ventilator parameters prediction by real time system learning
Sita Radhakrishnan, Suresh G Nair, Johney Isaac
Статья2021Цитирований: 2
ABI