Experimental study of gas flow characteristics in micro-/nano-pores in tight and shale reservoirs using microtubes under high pressure and low pressure gradients

Fang, Xin; Yue, Xiang-an; An, Weiqing; Feng, Xiang

doi:10.1007/s10404-018-2175-9

Cited by 8 publications

(5 citation statements)

References 42 publications

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“…Under high pressure, the high-pressure micro differential pressure gauge can continuously record the dynamic pressure difference from 10 −6 MPa up to 80 MPa with the error controlled within 0.1% [56,61]. The operating principle rests on the micro differential pressure measurement under a high-pressure system through digitized reading of the fluid level in a pressure resistant U-shaped tube (pressure resistant manometer).…”

Section: Experimental Apparatusmentioning

confidence: 99%

“…This is because under high pressure, the mean free path of the gas is significantly smaller, much smaller than the radius of the average pore throat. Thus, the slippage effect can be neglected [44,47] and the micro-scale flow effect of high-pressure gas appears in the tight core [61]. The interaction of high-pressure and microscale effects will result in changes in the physical properties of the gas.…”

Section: Relationships Between Permeability and Flowratementioning

confidence: 99%

“…At higher outlet pressures, the smaller the pressure difference, the greater the flow resistance, and the gas flow under different pressure differences in the microtubes exhibits non-linear characteristics. With the increase of outlet pressure and the decrease of tube diameter, the micro-scale flow effect of high-pressure gas becomes more obvious [61]. Therefore, the permeability decreases as the back pressure increases and the flow rate decreases.…”

Section: Relationships Between Permeability and Flowratementioning

confidence: 99%

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Applicability Analysis of Klinkenberg Slip Theory in the Measurement of Tight Core Permeability

Zou

Yue

et al. 2019

Energies

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The Klinkenberg slippage theory has widely been used to obtain gas permeability in low-permeability porous media. However, recent research shows that there is a deviation from the Klinkenberg slippage theory for tight reservoir cores under low-pressure conditions. In this research, a new experimental device was designed to carry out the steady-state gas permeability test with high pressure and low flowrate. The results show that, unlike regular low-permeability cores, the permeability of tight cores is not a constant value, but a variate related to a fluid-dynamic parameter (flowrate). Under high-pressure conditions, the relationship between flowrate and apparent permeability of cores with low permeability is consistent with Klinkenberg slippage theory, while the relationship between flowrate and apparent permeability of tight cores is contrary to Klinkenberg slip theory. The apparent permeability of tight core increases with increasing flowrate under high-pressure conditions, and it is significantly lower than the Klinkenberg permeability predicted by Klinkenberg slippage theory. The difference gets larger when the flowrate becomes lower (back pressure increases and pressure difference decreases). Therefore, the Klinkenberg permeability which is obtained by the Klinkenberg slippage theory by using low-pressure experimental data will cause significant overestimation of the actual gas seepage capacity in the tight reservoir. In order to evaluate the gas seepage capacity in a tight reservoir precisely, it is necessary to test the permeability of the tight cores directly at high pressure and low flowrate.

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Section: Experimental Apparatusmentioning

confidence: 99%

Section: Relationships Between Permeability and Flowratementioning

confidence: 99%

Section: Relationships Between Permeability and Flowratementioning

confidence: 99%

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Applicability Analysis of Klinkenberg Slip Theory in the Measurement of Tight Core Permeability

Zou

Yue

et al. 2019

Energies

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“…The reservoirs' fluid flow characteristics are complex, with multiple flow phases and a fluctuating, declining production index. These factors raise the uncertainty of shale gas production forecasts and EUR valuations [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning-Based Research for Predicting Shale Gas Well Production

Qi,

Li,

et al. 2024

Symmetry

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The estimated ultimate recovery (EUR) of a single well must be predicted to achieve scale-effective shale gas extraction. Accurately forecasting EUR is difficult due to the impact of various geological, engineering, and production factors. Based on data from 200 wells in the Weiyuan block, this paper used Pearson correlation and mutual information to eliminate the factors with a high correlation among the 31 EUR influencing factors. The RF-RFE algorithm was then used to identify the six most important factors controlling the EUR of shale gas wells. XGBoost, RF, SVM, and MLR models were built and trained with the six dominating factors screened as features and EUR as labels. In this process, the model parameters were optimized, and finally the prediction accuracies of the models were compared. The results showed that the thickness of a high-quality reservoir was the dominating factor in geology; the high-quality reservoir length drilled, the fracturing fluid volume, the proppant volume, and the fluid volume per length were the dominating factors in engineering; and the 360−day flowback rate was the dominating factor in production. Compared to the SVM and MLR models, the XG Boost and the RF models based on integration better predicted EUR. The XGBoost model had a correlation coefficient of 0.9 between predicted and observed values, and its standard deviation was closest to the observed values’ standard deviation, making it the best model for EUR prediction among the four types of models. Identifying the dominating factors of shale gas single-well EUR can provide significant guidance for development practice, and using the optimized XGBoost model to forecast the shale gas single-well EUR provides a novel idea for predicting shale gas well production.

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“…In recent years, micro-electromechanical systems (MEMS) have been widely used in various fields such as energy, biomedicine, environmental science, and so on. Because the microtubes are extensively applied in MEMS devices [1], gas flows in microtubes have attracted increasing attention in fundamental researches [2] and engineering applications [3]. For microscale gas flows, the mean free path of gas molecules (l) is close to the characteristic length of the flow domain (D), and so the gas rarefaction effect cannot be ignored [4].…”

Section: Introductionmentioning

confidence: 99%

Kinetic boundary schemes of axisymmetric multi-relaxation-time lattice Boltzmann model for microscale gas flows in microtube

Ren¹,

Liu²,

Wu³

2021

Phys. Scr.

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Because of its mesoscopic nature and distinctive computing features, lattice Boltzmann method (LBM) is shown as a promising tool to simulate microscale gas flows. However, studies on the microtube flows are rare, and some fundamental problems for LBM to such flows still remain unsolved. In this work, three widely used kinetic boundary schemes, i.e., combined bounce-back and specular-reflection scheme, combined Maxwell-diffusion and specular-reflection scheme, and combined Maxwell-diffusion and bounce-back scheme, for the axisymmetric lattice Boltzmann equation (LBE) with multi-relaxation-time (MRT) are investigated. The discrete effects of the three boundary schemes in the axisymmetric MRT-LBE are observed by analyzing the micro-scale Hagen-Poiseuille flow, and the strategies of adjusting the parameters in the boundary schemes are put forward to implement the no-slip boundary condition and the second-order slip boundary condition. Some numerical tests are implemented to validate the proposed correction strategies for kinetic boundary schemes. Our analysis also shows that the kinetic boundary schemes of the axisymmetric Bhatnagar-Gross-Krook (BGK) LBE cannot realize the no-slip boundary condition and are also inapplicable to microscale gas flows with even some moderate Knudsen numbers (  Kn 0.25). Therefore, the axisymmetric MRT-LBE is superior to the axisymmetric BGK-LBE in realizing both the no-slip and slip boundary conditions.

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Experimental study of gas flow characteristics in micro-/nano-pores in tight and shale reservoirs using microtubes under high pressure and low pressure gradients

Cited by 8 publications

References 42 publications

Applicability Analysis of Klinkenberg Slip Theory in the Measurement of Tight Core Permeability

Applicability Analysis of Klinkenberg Slip Theory in the Measurement of Tight Core Permeability

Machine Learning-Based Research for Predicting Shale Gas Well Production

Kinetic boundary schemes of axisymmetric multi-relaxation-time lattice Boltzmann model for microscale gas flows in microtube

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