Browse Items (23 total)

  • Tags: Particle swarm optimization (PSO)

Managing oil production from reservoirs to maximize the future economic return of the asset is an important issue in petroleum engineering. One of the most important problems is the prediction of water flooding performance. Traditional strategies…

Managing oil production from reservoirs to maximize the future economic return of the asset is an important issue in petroleum engineering. One of the most important problems is the prediction of water flooding performance. Traditional strategies…

Managing oil production from reservoirs to maximize the future economic return of the asset is an important issue in petroleum engineering. One of the most important problems is the prediction of water flooding performance. Traditional strategies…

Denoising of pipeline leak signals is of great significance to improve the accuracy of pipeline leak detection. Variational mode decomposition (VMD) has the function of signal denoising. However, the inaccurate setting of VMD parameters will affect…

Petroleum geoscience big data is defined in this paper. CPU/GPU hybrid system is used to try to accelerate computing speed of petroleum geoscience big data using chaotic quantum particle swarm optimization (CQPSO) inversion method as an example, and…

Denoising of pipeline leak signals is of great significance to improve the accuracy of pipeline leak detection. Variational mode decomposition (VMD) has the function of signal denoising. However, the inaccurate setting of VMD parameters will affect…

Petroleum geoscience big data is defined in this paper. CPU/GPU hybrid system is used to try to accelerate computing speed of petroleum geoscience big data using chaotic quantum particle swarm optimization (CQPSO) inversion method as an example, and…

In this paper, a novel particle swarm optimization (PSO) algorithm is proposed in order to improve the accuracy of the traditional support vector machine (SVM) approaches with applications in analyzing data of oil pipeline leak detection. In the…

Managing oil production from reservoirs to maximize the future economic return of the asset is an important issue in petroleum engineering. One of the most important problems is the prediction of water flooding performance. Traditional strategies…

Natural gas purification, especially with high sulfur content, is an energy-intensive chemical production process, for which there are considerable differences in the energy consumption patterns of different purification plants. Therefore, these…

During an emergency response to a major oil spill accident, the features of the motion of the oil films affect the response decisions. A highly dynamic optimal solution is needed to tackle the continuous changes in the demand for emergency resources…

Oil is an important strategic material and energy for civil use. Accurate prediction of oil consumption can provide basis for relevant departments to reasonably arrange crude oil production, oil import and export, and optimize the allocation of…

With the increasing global demands for energy, fuel supply management is a challenging task of todays industries in order to decrease the cost of energy and diminish its adverse environmental impacts. To have a more environmentally friendly fuel…

Considering the temperature rises caused by the friction loss and heat leakage, long-distance and high-capacity transportation of liquefied natural gas (LNG) is currently not very feasible by using a cryogenic pipeline. As a fire-proof and…

The present research was purposed to estimate the heat of vaporization for petroleum fractions and pure hydrocarbons by the lease square support vector machine (LSSVM) as a function of the specific gravity, molecular weight, and boiling point…

The uncertainty and ramping behavior of Renewable Energy Resources (RESs) are the main barriers when it comes to the deployment of such resources. The Battery Energy Storage System (BESS) has been widely deployed to sustain the above shortcomings.…

The aim of this study is to implement the multi-inputmulti-output optimization of reactivity-controlled compression-ignition combustion in a heavy-duty diesel engine running on natural gas and diesel fuel. A single-cylinder heavy-duty diesel engine…

Accurate prediction of short and medium-term monthly natural gas production in a country is the basis for understanding the supply capacity of natural gas in different months, and for the timely adjustment of natural gas production and import…

Oil is an important strategic material and energy for civil use. Accurate prediction of oil consumption can provide basis for relevant departments to reasonably arrange crude oil production, oil import and export, and optimize the allocation of…

Crude oil, which is an important part of energy consumption, can drive or hinder economic development based on its production and consumption. Reasonable predictions of crude oil consumption in China are meaningful. In this paper, we study the…

The traditional petroleum reservoir modeling workflow for reservoir characterization, history matching, and field development optimization requires a significant amount of computation during reservoir simulation and post-processing. In this work, we…

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 properties of reservoir fluids in laboratory pressure-volume-temperature (PVT)…

The uncertainty and ramping behavior of Renewable Energy Resources (RESs) are the main barriers when it comes to the deployment of such resources. The Battery Energy Storage System (BESS) has been widely deployed to sustain the above shortcomings.…
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