MLP-Based Model for Estimation of Methane Seam Pressure

Skiba, M.; Dutka, B.; Młynarczuk, M.

doi:10.3390/en14227661

Cited by 5 publications

(2 citation statements)

References 45 publications

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“…31 predicted and analyzed the gas pressure in coal seams with different depths. Skiba et al 32 estimated coal seam gas pressure based on the multilayer perceptron model, and the result error was small.…”

Section: Introductionmentioning

confidence: 99%

Discrimination Method of Gas Pressure Measurement in Coal Seams: Physical Experiment and Model Development

et al. 2022

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Coal seam gas pressure is a key parameter of gas accident control and gas drainage. At present, there are some problems in field pressure measurement, such as long period, and there is often a need to drill more holes to ensure the reliability of pressure measurement. In this research, a physical gas pressure measurement experiment in a coal sample borehole was carried out, and a mathematical model of gas pressure evolution with time was constructed. Based on the OpenFOAM platform and C++ language, a numerical solver was developed, and the mathematical model was verified by the data of gas pressure in coal seam boreholes. The results show that the evolution process of gas pressure in coal seam boreholes can be divided into two stages. In the first stage, the gas pressure increases rapidly, and the pressure change rate decreases continuously. In the second stage, the gas pressure is slow and stable, and the pressure change rate tends to 0. The correlation coefficients between the mathematical model and the field-measured data are more than 0.94, and the calculation and prediction accuracy are high. Therefore, the model can be used to verify the field data during pressure measurement, which has better field significance and application value.

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Section: Introductionmentioning

confidence: 99%

Discrimination Method of Gas Pressure Measurement in Coal Seams: Physical Experiment and Model Development

et al. 2022

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“…The indirect pressure measurement is a method to inverse the gas pressure from the gas content according to the Langmuir equation. 30 Skiba et al 31 improved the accuracy of the indirect pressure measurement method by the use of an artificial neural network to estimate the value of selected sorption parameters of the coal-methane system. Wang et al 32 combined the directional drilling system and special gas emission measuring device and applied the dynamic inversion model to measure coal seam gas pressure.…”

Section: Introductionmentioning

confidence: 99%

In Situ Volume Recovery Method for Non-Seal Gas Pressure Measurement Technology: A Comparative Study

Hua

Wang

et al. 2022

ACS Omega

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Coal seam gas pressure is one of the basic parameters for coalbed methane resource exploitation and coal mine gas disaster prevention. However, the present coal seam gas pressure measurement technology requires harsh field measurement conditions and a long testing period. In this study, a novel non-seal gas pressure measurement technology is proposed, and this technology is mainly aimed at three different changes before and after the collection of coal samples and realizes the real gas pressure measurement through the compensation of gas leakage, in situ volume recovery of the coal core, and reservoir temperature simulation. The technique not only can measure the original gas pressure of coal seam quickly and accurately but also does not need to seal the measuring hole. This paper focuses on the study of a key factor that affects the accuracy of non-seal gas pressure measurement: the restoration of in situ volume. Based on this, the influence of four different in situ volume recovery methods on the measurement accuracy is compared with the self-developed non-sealing gas pressure measuring system. Experimental results show that the in situ volume of the coal core cannot be completely restored by stress loading. Although the contact injection method can restore the original volume of the coal core, the pressure recovery error is large due to the replacement and displacement of the gas effect of water and the inclusion of the coal body effect of oil. Interestingly, the combination of stress loading and contact oil injection can not only restore the original volume of the coal core but also minimize the pressure recovery error, which is only less than 10%. Finally, based on the abovementioned experimental results, the in situ volume recovery method of non-seal gas pressure measurement technology is improved. Therefore, the research results of this paper provide a scientific basis for the field application of non-seal gas pressure measurement technology.

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Synchronous Inversion of Coal Seam Gas Pressure and Permeability Based on a Dual Porosity/Dual Permeability Model and Surrogate Optimization Algorithm

Liu

Wang

et al. 2023

Nat Resour Res

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MLP-Based Model for Estimation of Methane Seam Pressure

Cited by 5 publications

References 45 publications

Discrimination Method of Gas Pressure Measurement in Coal Seams: Physical Experiment and Model Development

Discrimination Method of Gas Pressure Measurement in Coal Seams: Physical Experiment and Model Development

In Situ Volume Recovery Method for Non-Seal Gas Pressure Measurement Technology: A Comparative Study

Synchronous Inversion of Coal Seam Gas Pressure and Permeability Based on a Dual Porosity/Dual Permeability Model and Surrogate Optimization Algorithm

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