Review on Dynamic Van der Waals Theory in two-phase flow

Tao, Zhang; Kou, Jisheng; Sun, Shuyu

doi:10.26804/ager.2017.02.08

Cited by 9 publications

(2 citation statements)

References 28 publications

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“…Aeroacoustics is the basic theory for studying the acoustic waves generated by pipeline leakage (Zhang et al, 2017;Karthik et al, 2021), which mainly examines the principle of acoustics produced by the fluid-solid or fluid-fluid interaction. The basic equations of the theory are derived from continuity equations and momentum equations.…”

Section: Fluid Acoustic Theorymentioning

confidence: 99%

Leakage simulation and acoustic characteristics based on acoustic logging by ultrasonic detection

Wan

Wang

et al. 2022

Adv. Geo-Energy Res.

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The detection of casing leakage in oil and gas wells or water injection wells is an important element of wellbore integrity management. Ultrasonic technology is suitable to detect and identify the position of leakage in oil and gas well shafts, providing engineering guidance for subsequent treatment. In this paper, the finite element calculation model of casing leakage in oil and gas wells is established by using the computational fluid dynamics method, and the large eddy simulation model and Ffowcs Williams-Hawkings acoustic model are utilized to simulate the casing leakage condition. The acoustic pressure signals of each monitoring point on the inner axis of the pipeline are obtained, and the influences of the pipeline pressure difference, the leakage hole diameter and the pipeline fluid on the leakage acoustic field are analyzed. The simulation results indicate that the acoustic pressure level measured on the pipeline axis rises with the increase of pipeline pressure difference and leakage hole diameter. The size and variation rule of acoustic pressure level also vary with the type of pipeline fluid. Overall, the results obtained show that ultrasonic logging can accurately locate and detect tubing leakage, and they provide theoretical guidance for practical casing leakage detection, assisting with wellbore integrity management.

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Section: Fluid Acoustic Theorymentioning

confidence: 99%

Leakage simulation and acoustic characteristics based on acoustic logging by ultrasonic detection

Wan

Wang

et al. 2022

Adv. Geo-Energy Res.

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“…This reduction in heat results in a decreased radial influence of the steam, thus reducing the effective sweep area of the reservoir and impacting oil recovery rates. The current solutions generally involve the use of injected gases, solvents, urea, and other common media (Wang et al, 2013;Haddad and Gates, 2017;Zhang et al, 2017;Xi et al, 2019;Li et al, 2020;Cui et al, 2020;Wang et al, 2023a;Wang et al, 2023b;Chu and Zhang, 2023;Prasad et al, 2023). Al-Murayri (Al-Murayri et al, 2016) employed the Expanding Solvent Steam Assisted Gravity Drainage (ES-SAGD) method, which utilizes a combination of heat transfer and mass transfer processes to enhance the flow of high-viscosity oil.…”

Section: Introductionmentioning

confidence: 99%

Study on optimization and mechanism of CO2 injection to enhance oil recovery in mid-deep heavy oil reservoirs

Zhang,

Qi,

Wang

et al. 2024

Front. Energy Res.

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In order to improve the oil recovery of mid-deep heavy oil reservoirs, this study investigates the efficiency of enhanced oil recovery and the mechanisms of oil displacement in mid-deep heavy oil reservoirs using different injected gases (N2, CH4, CO2) and development approaches (gas flooding and gas huff-n-puff) through a series of experiments. These experiments include high-pressure physical properties tests of crude oil after gas injection, displacement efficiency tests of gas injection, and displacement efficiency tests of gas huff-n-puff. The results indicate that for mid-deep heavy oil reservoirs, the preferred optimal injection gas is CO2, with gas huff-n-puff being the most effective development method. Furthermore, a numerical simulation study was conducted to explore the adaptability parameters of CO2 huff-n-puff development in different well patterns, encompassing variables such as the amount of gas injected per cycle, crude oil viscosity, reservoir permeability, and oil layer thickness.

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Accelerated Phase Equilibrium Predictions for Subsurface Reservoirs Using Deep Learning Methods

Tao

Sun

2019

Lecture Notes in Computer Science

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Multiphase fluid flow with complex compositions is an increasingly attractive research topic with more and more attentions paid on related engineering problems, including global warming and green house effect, oil recovery enhancement and subsurface water pollution treatment. Prior to study the flow behaviors and phase transitions in multi-component multiphase flow, the first effort should be focused on the accurate prediction of the total phase numbers existing in the fluid mixture, and then the phase equilibrium status can be determined. In this paper, a novel and fast prediction technique is proposed based on deep learning method. The training data is generated using a selected VT dynamic flash calculation scheme and the network constructions are deeply optimized on the activation functions. Compared to previous machine learning techniques proposed in literatures to accelerate vapor liquid phase equilibrium calculation, the total number of phases existing in the mixture is determined first and other phase equilibrium properteis will be estimated then, so that we do not need to ensure that the mixture is in two phase conditions any more. Our method could handle fluid mixtures with complex compositions, with 8 different components in our example and the original data is in a large amount. The analysis on prediction performance of different deep learning models with various neural networks using different activation functions can help future researches selecting the features to construct the neural network for similar engineering problems. Some conclusions and remarks are presented at the end to help readers catch our main contributions and insight the future related researches.

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Review on Dynamic Van der Waals Theory in two-phase flow

Cited by 9 publications

References 28 publications

Leakage simulation and acoustic characteristics based on acoustic logging by ultrasonic detection

Leakage simulation and acoustic characteristics based on acoustic logging by ultrasonic detection

Study on optimization and mechanism of CO2 injection to enhance oil recovery in mid-deep heavy oil reservoirs

Accelerated Phase Equilibrium Predictions for Subsurface Reservoirs Using Deep Learning Methods

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