Unsteady seepage solutions for hydraulic fracturing around vertical wellbores in hydrocarbon reservoirs

Wu, Yun; Huang, Zhen; Zhao, Kui; Zeng, Wei; Gu, Qixiong; Zhang, Rui

doi:10.1016/j.ijhydene.2020.01.222

Cited by 53 publications

(12 citation statements)

References 28 publications

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“…The farther the point is from the origin, the greater the weight value, or the greater the effect of determining the sample difference [47]. It can be seen in Figure 6 that TDS, HCO 3 -, and Na + +K + were far from the origin, indicating that these three water chemical composition variables played a greater role in water source identification. On the first principal component t½1, the loading values of HCO 3 -, SO 4…”

Section: Analysis Of Discriminant Model Resultsmentioning

confidence: 97%

“…In addition, compared with the PCA method, PLS-DA has the function of quantifying the degree of difference between different water sources caused by the characteristic water chemical composition. The loading scatter plots of PCA and PLS-DA both showed that TDS, HCO t [3] t [1] t [2] t [3] Figure 8: Schematic diagram of the PLS-DA model in threedimensional space. 100: fourth aquifer water; 010: coal-bearing sandstone aquifer water; 001: limestone aquifer water.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, PCA can roughly divide water samples from three different water sources into three categories. However, it was It can be seen from the PCA loading plot ( Figure 6) that HCO 3 -, Na + +K + , and TDS were far from the origin, indicating that these three water chemical composition variables played a greater role in water source identification. Table 2.…”

Section: Correlation Analysis Of Water Chemical Compositionsmentioning

confidence: 99%

“…Coal resource is an important basic resource for the longterm rapid and stable development of the national economy in China [1]. As mining depth has increased, water inrush disaster occurrence has also increased, which poses a serious threat to the safety of coal mine production [2,3]. Quickly and accurately identifying the sources of mine water inrush is important for the prevention and control of coal mine water inrush disasters, and it is also a top concern in mine water disaster management research [4].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Application of Partial Least Squares-Discriminate Analysis Model Based on Water Chemical Compositions in Identifying Water Inrush Sources from Multiple Aquifers in Mines

Zhai

et al. 2021

Geofluids

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Mine water inrush seriously threatens the safety of coal mine production. Quick and accurate identification of mine water inrush sources is of great significance to preventing mine water hazards. This paper combined partial least squares-discriminate analysis (PLS-DA) with inrush water chemical composition to identify the source of water inrush from multiple aquifers in mines. The Renlou Coal Mine in the Linhuan mining area was selected for this study, and seven conventional water chemical compositions from 54 water samples in three aquifers were collected and tested, of which 45 water samples were used to establish the PLS-DA discriminant model, and nine were used to test the prediction effect. To improve model accuracy and predictive ability, hierarchical clustering analysis method was used to eliminate seven unqualified water samples to reduce the errors caused by improper data. PCA and PLS-DA methods were used to analyze and process the remaining water sample data, and on the basis of PCA analysis, the remaining 38 water samples were used to establish the PLS-DA discriminant model. The model was validated using permutation and external prediction tests. The research shows the following results: (1) Both PCA and PLS-DA methods can distinguish water samples from three different water sources, but the classification effect of PLS-DA was better than PCA because it can strengthen the difference of water chemical composition between different water sources. (2) The correct discrimination rate of the PLS-DA discriminant model was as high as 100%, and permutation tests showed that the model was not overfit. External validation found that the model had good stability and discrimination. (3) HCO3- and total dissolved solids (TDS) were the most important differential marker compositions that affected the discrimination results based on Variable Importance for the Projection (VIP) scores. The discriminant model established in this study combined the advantages of principal component analysis and multiple regression analysis, providing a new method for accurately identifying the sources of water inrush in mines.

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Section: Analysis Of Discriminant Model Resultsmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 99%

Section: Correlation Analysis Of Water Chemical Compositionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Application of Partial Least Squares-Discriminate Analysis Model Based on Water Chemical Compositions in Identifying Water Inrush Sources from Multiple Aquifers in Mines

Zhai

et al. 2021

Geofluids

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show abstract

“…Filling fracture networks are common in practical projects. Most materials used for filling fracture networks are particle accumulation bodies (e.g., breccia, sand, travertine formed by tectonism, weathering, or the action of groundwater, as well as fractured rock masses from the destruction of the protolith by earthquakes, mining disturbances, and other factors) [1][2][3]. During underground construction, fracture zones develop continuously and achieve a hydraulic connection between the nearby aquifer and the working face due to actions, such as disturbance and unloading, which may lead to nonlinear flow in the fracture network.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation of Water-Sand Mixed Fluid Initiation and Migration in Filling Fracture Network during Water Inrush

Yang

2021

Advances in Civil Engineering

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For water inrush induced by fracture network flow, the critical velocity of the incipient motion of sand particles was obtained, and the functional relation between critical velocity and particle size was established through a series of tests on the nonlinear flow characteristics of a filling fracture network. The influence of the particle size distribution, hydrodynamic force, and geometric features of the fracture network on the characteristics of particle loss; distribution laws; and water-sand, two-phase migration was also explored. Moreover, the interactions amongst water, movable particles, the surface of the skeleton, and fracture walls, and the formation mechanism of the flow channel were qualitatively analyzed. In addition, the change rules of the mass loss characteristics and porosity of the samples with time were tested successfully. The calculation methods of the permeability and non-Darcy factor of the filling fracture network were also determined.

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Effect of Temperature on Macroscopic and Microscopic Properties of Sandstone From Qidong Coal Mine

Deng

Wang

et al. 2021

Rock Mech Rock Eng

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Unsteady seepage solutions for hydraulic fracturing around vertical wellbores in hydrocarbon reservoirs

Cited by 53 publications

References 28 publications

Application of Partial Least Squares-Discriminate Analysis Model Based on Water Chemical Compositions in Identifying Water Inrush Sources from Multiple Aquifers in Mines

Application of Partial Least Squares-Discriminate Analysis Model Based on Water Chemical Compositions in Identifying Water Inrush Sources from Multiple Aquifers in Mines

Experimental Investigation of Water-Sand Mixed Fluid Initiation and Migration in Filling Fracture Network during Water Inrush

Effect of Temperature on Macroscopic and Microscopic Properties of Sandstone From Qidong Coal Mine

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