One of the factors that significantly affects efficiency oil and gas industry equipment is scales formed in pipelines. In this innovative, non-invasive system, inclusion a dual-energy gamma source two sodium iodide detectors was investigated with help artificial intelligence to determine flow pattern volume percentage two-phase by considering thickness scale tested pipeline. proposed structure, consisting barium-133 cesium-137 isotopes emit photons, one detector recorded transmitted photons...

The growing emphasis on renewable energy highlights hydrogen’s potential as a clean carrier. However, traditional hydrogen production methods contribute significantly to carbon emissions. This review examines the integration of capture and storage (CCS) technologies with processes, focusing their ability mitigate It evaluates various techniques, including steam methane reforming, electrolysis, biomass gasification, discusses how CCS can enhance environmental sustainability. Key challenges,...

Many different kind of fluids in a wide variety industries exist, such as two-phase and three-phase. Various combinations them can be expected gas-oil-water is one the most common flows. Measuring volume fraction phases without separation vital many aspects, which financial issues. methods are utilized to ascertain volumetric proportion each phase. Sensors based on measuring capacity so popular because this sensor operates seamlessly autonomously necessitating any form segregation or...

Abstract The present study evaluates the drilling fluid density of oil fields at enhanced temperatures and pressures. main objective this work is to introduce a set modeling experimental techniques for forecasting via various intelligent models. Three models were assessed, including PSO-LSSVM, ICA-LSSVM, GA-LSSVM. PSO-LSSVM technique outperformed other in light smallest deviation factor, reflecting responses largest accuracy. modeled regression diagrams coefficient determination (R 2 )...

In the current paper, a novel technique is represented to control liquid petrochemical and petroleum products passing through transmitting pipe. A simulation setup, including an X-ray tube, detector, pipe, was conducted by Monte Carlo N Particle-X version (MCNPX) code examine two-by-two mixture of four diverse (ethylene glycol, crude oil, gasoline, gasoil) in various volumetric ratios. As feature extraction system, twelve time characteristics were extracted from received signal, most...

Measuring the void fraction of different multiphase flows in various fields such as gas, oil, chemical, and petrochemical industries is very important. Various methods exist for this purpose. Among these methods, capacitive sensor has been widely used. The thing that affects performance capacitance sensors fluid properties. For instance, density, pressure, temperature can cause vast errors measurement fraction. A routine calibration, which grueling, one approach to tackling issue. In present...

In the present paper, nanofluid mixed convection is investigated in a square cavity with an adiabatic obstacle by using Lattice Boltzmann method (LBM). This enclosure contains Fe-ethylene-glycol and three constant temperature thermal sources at left wall bottom of through lateral wall. The fluid incompressible, laminar, Newtonian. obtained results are presented Ra = 104 Pr 0.71 for different Ri 0.1, 1, 10. effects slope enclosure, volume fraction nanoparticles [Formula: see text], location...

When fluids flow into the pipes, materials in them cause deposits to form inside pipes over time, which is a threat efficiency of equipment and their depreciation. In present study, method for detecting volume percentage two-phase by considering presence scale test pipe presented using artificial intelligence networks. The non-invasive works such way that detector located on one side absorbs photons have passed through other pipe. These are emitted dual source isotopes barium-133 cesium-137....

Biodiesel is assumed a renewable and environmentally friendly fuel that possesses the potential to substitute petroleum diesel. The basic purpose of present study design precise algorithm based on Gaussian Process Regression (GPR) model with several kernel functions, i.e., Rational Quadratic, Squared Exponential, Matern, estimate biodiesel properties. These properties include kinematic viscosity (KV), pour point (PP), iodine value (IV), cloud (CP) as function fatty acid composition. In order...

Scale formation inside oil and gas pipelines is always one of the main threats to efficiency equipment their depreciation. In this study, an artificial intelligence method presented provide flow regime volume percentage a two-phase while considering presence scale test pipe. non-invasive method, dual-energy source barium-133 cesium-137 isotopes irradiated, photons are absorbed by detector as they pass through pipe on other side The Monte Carlo N Particle Code (MCNP) simulates structure...

Measuring the volume fraction of different types fluids with two or three phases is so vital. Among all available methods, them, capacitance-based and gamma-ray attenuation, are popular widely used. Moreover, nowadays, AI which stands for Artificial Intelligence can be seen almost in areas, measuring section no exception. In this paper, main goal to predict a three-phase homogeneous fluid contains water, oil, gas materials. To opt an optimised method, combination sensors, attenuation sensor...

Due to the high amount of natural gas resources in Iran, cycle as one main important power production system is used produce electricity. The has some disadvantages such consumption air compressors, which a major part turbine electrical and considerable reduction by increasing environment temperature due density constant volumetric airflow through cycle. To overcome these weaknesses, several methods are applied cooling inlet different integration heat recovery steam generator (HRSG) with In...

One of the challenging conditions in wellbore management is high-pressure, high-temperature wells that apply large expenditures and maintenance costs to petroleum industries. In this regard, drilling fluid rheology its crucial factors would help engineers have a fundamental understanding most appropriate management. Moreover, it can control loss phenomenon. This paper aimed consider different artificial intelligence machine learning models predict density select optimum model, which be...