Machine learning-assisted methods for prediction and optimization of oxidative desulfurization of gas condensate via a novel oxidation system
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Machine learning-assisted methods for prediction and optimization of oxidative desulfurization of gas condensate via a novel oxidation system
Authors
Keywords
-
Journal
Journal of Sulfur Chemistry
Volume -, Issue -, Pages 1-17
Publisher
Informa UK Limited
Online
2023-09-19
DOI
10.1080/17415993.2023.2257827
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Textile wastewater heavy metal removal using Luffa cylindrica activated carbon: an ANN and ANFIS predictive model evaluation
- (2022) Kenechi Nwosu-Obieogu et al. Applied Water Science
- Diagnosis of proton exchange membrane fuel cell system based on adaptive neural fuzzy inference system and electrochemical impedance spectroscopy
- (2022) Yunjin Ao et al. ENERGY CONVERSION AND MANAGEMENT
- Fossil Energy Demand and Economic Development in BRICS Countries
- (2022) Hong Wang et al. Frontiers in Energy Research
- Prediction of NOx emissions from gas turbines of a combined cycle power plant using an ANFIS model optimized by GA
- (2022) Mahmut Dirik FUEL
- Artificial intelligence approach for modeling petroleum refinery catalytic desulfurization process
- (2022) Hamdi A. Al-Jamimi et al. NEURAL COMPUTING & APPLICATIONS
- Characterization, determination and elimination technologies for sulfur from petroleum: Toward cleaner fuel and a safe environment
- (2020) Tawfik A. Saleh Trends in Environmental Analytical Chemistry
- Carbon nanotube-incorporated alumina as a support for MoNi catalysts for the efficient hydrodesulfurization of thiophenes
- (2020) Tawfik A. Saleh CHEMICAL ENGINEERING JOURNAL
- Energy modeling of a solar dish/Stirling by artificial intelligence approach
- (2019) Ali Khosravi et al. ENERGY CONVERSION AND MANAGEMENT
- Hydrodesulfurization unit for natural gas condensate
- (2018) Javad Ahmadpour et al. JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
- First multi-tool exploration of a gas-condensate-pyrolysate system from the environment of burning coal mine heaps: An in situ FTIR and laboratory GC and PXRD study based on Upper Silesian materials
- (2018) Łukasz Kruszewski et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Modeling of simultaneous adsorption of dye and metal ion by sawdust from aqueous solution using of ANN and ANFIS
- (2018) Maryam Dolatabadi et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Supervised machine learning techniques in the desulfurization of oil products for environmental protection: A review
- (2018) Hamdi A. Al-Jamimi et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- Optimization of oxidative desulfurization of gas condensate via response surface methodology approach
- (2018) Babak Pouladi et al. JOURNAL OF CLEANER PRODUCTION
- Application of Genetic Programing technique for predicting Uniaxial Compressive Strength using reservoir formation properties
- (2017) M. Koolivand-Salooki et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Neural network and neuro-fuzzy modeling to investigate the power density and Columbic efficiency of microbial fuel cell
- (2016) Morteza Esfandyari et al. Journal of the Taiwan Institute of Chemical Engineers
- API Gravity, Sulfur Content, and Desulfurization of Crude Oil
- (2014) A. Demirbas et al. PETROLEUM SCIENCE AND TECHNOLOGY
- Fuzzy modeling and simulation for lead removal using micellar-enhanced ultrafiltration (MEUF)
- (2011) Bashir Rahmanian et al. JOURNAL OF HAZARDOUS MATERIALS
- Oxidative processes of desulfurization of liquid fuels
- (2010) J.M. Campos-Martin et al. JOURNAL OF CHEMICAL TECHNOLOGY AND BIOTECHNOLOGY
- Oxidative Desulfurization of Non-hydrotreated Kerosene Using Hydrogen Peroxide and Acetic Acid
- (2009) Asghar Molaei Dehkordi et al. CHINESE JOURNAL OF CHEMICAL ENGINEERING
- Application of artificial neural networks to predict chemical desulfurization of Tabas coal
- (2008) E. Jorjani et al. FUEL
- Oxidative Desulfurization of Fuel Oil: Modeling Based on Artificial Neural Network
- (2008) D. Salari et al. PETROLEUM SCIENCE AND TECHNOLOGY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now