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Research advances in machine learning techniques in gas hydrate applications
The complex modeling accuracy of gas hydrate models has been recently improved owing
to the existence of data for machine learning tools. In this review, we discuss most of the …
to the existence of data for machine learning tools. In this review, we discuss most of the …
Support vector machines-based heart disease diagnosis using feature subset, wrap** selection and extraction methods
SMS Shah, FA Shah, SA Hussain, S Batool - Computers & Electrical …, 2020 - Elsevier
Heart disease is one of the leading causes of human death and in the absence of an
accurate diagnosis, there are limitations to beat it. In this research, an automatic diagnostic …
accurate diagnosis, there are limitations to beat it. In this research, an automatic diagnostic …
Robust and comprehensive predictive models for methane hydrate formation condition in the presence of brines using black-box and white-box intelligent techniques
Accurate estimation of gas hydrate formation condition is crucial for many reasons. In one
hand, the gas hydrate formation is a promising approach for gas separation, cold energy …
hand, the gas hydrate formation is a promising approach for gas separation, cold energy …
Prediction of methane hydrate formation conditions in salt water using machine learning algorithms
Predicting formation conditions of gas hydrates in salt water is important for the management
of hydrate in processes such as flow assurance, deep-water drilling, and hydrate-based …
of hydrate in processes such as flow assurance, deep-water drilling, and hydrate-based …
Modeling solubility of CO2–N2 gas mixtures in aqueous electrolyte systems using artificial intelligence techniques and equations of state
R Nakhaei-Kohani, E Taslimi-Renani… - Scientific Reports, 2022 - nature.com
Determining the solubility of non-hydrocarbon gases such as carbon dioxide (CO2) and
nitrogen (N2) in water and brine is one of the most controversial challenges in the oil and …
nitrogen (N2) in water and brine is one of the most controversial challenges in the oil and …
Determination of bubble point pressure & oil formation volume factor of crude oils applying multiple hidden layers extreme learning machine algorithms
An important requirement of reservoir management is to understand the properties of
reservoir fluids and dependent phase behaviors. This makes it possible to determine the …
reservoir fluids and dependent phase behaviors. This makes it possible to determine the …
Study of hydrate generation risk in gas-saturated oil-water emulsion system based on artificial intelligence
X Lv, S Chen, W Zeng, Y Liu, C Wang, S Zhou… - … Research and Design, 2024 - Elsevier
The formation and plugging of hydrates in oil and gas pipelines will bring serious challenges
to the safe operation of oil and gas pipelines, but at present, domestic and foreign …
to the safe operation of oil and gas pipelines, but at present, domestic and foreign …
Digitalization in thermodynamics
Digitalization is about data and how they are used. This has always been a key topic in
applied thermodynamics. In the present work, the influence of the current wave of …
applied thermodynamics. In the present work, the influence of the current wave of …
Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO
A Bemani, A Baghban, S Shamshirband… - arxiv preprint arxiv …, 2019 - arxiv.org
In the present work, a novel and the robust computational investigation is carried out to
estimate solubility of different acids in supercritical carbon dioxide. Four different algorithms …
estimate solubility of different acids in supercritical carbon dioxide. Four different algorithms …
Evolving LSSVM and ELM models to predict solubility of non-hydrocarbon gases in aqueous electrolyte systems
Due to lack of a comprehensive and accurate predictive model for estimation of non-
hydrocarbon (N 2 and CO 2) solubility in the aqueous system, the main aim of the present …
hydrocarbon (N 2 and CO 2) solubility in the aqueous system, the main aim of the present …