KR101405298B1 - Evaluation of high or low permeability of fractured rock using well head losses from step-drawdown test - Google Patents

Abstract

The present invention relates to the relationship between the water loss factor (C) and the well head loss index (P) of the well head loss term calculated by the nonlinear method (Labadie and Helweg's least-squares method) Is a technique for evaluating the high and low permeability in an insulating rock layer. Therefore, it is possible to evaluate the permeability in the river by using the stepwise pumping test analysis, and it can be used as a preliminary investigation method for grasping the aquiferous aquifer section, expanding the pumped storage development, and investigating the precise site.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for evaluating high and low permeability of an aquifer,

The present invention relates to a method of evaluating an anechoic chamber anechoic chamber permeability using a well head loss term from a stepwise pumping test, and more particularly, to a method of evaluating an anechoic chamber anechoic chamber permeability by using a relationship between a well loss factor and a well head loss index To a method for evaluating high and low permeability in an insulating rock layer.

Most of the aquifer in Korea has the characteristics of fractured rock aquifer, and the study on insulated rock layer is insufficient compared to the alluvial layer. Therefore, it is very important to develop evaluation methods for the development of aquifers and hydraulic analysis methods appropriate to our country.

Analysis of the hydraulic characteristics of the adiabatic rock layer using the stepwise pumping test is expected to be economical in terms of time and cost. This phase pumping test was first introduced by Jacob (CE Jacob, Drawdown test to determine effective radius of artesian well, Transactions, ASCE, 112, pp. 1047-1070 (1947)) and then Rorabough (MI Rorabaugh, (1953)) were calculated using s Jacob's graphical method, s _w = BQ + CQ ^p . The graphs of the step-drawdown tests of artesian wells, Proc. At present, various methods for analyzing the stepping test have been improved or developed.

In addition to Jacob and Rorabough, Lennox (DH Lennox, Analysis and Application of Step-Drawdown Tests, J. Hydraul., Div., Am. Soc. ), Sheanhan (NT Sheaan, Type-curve solution of step-drawdown test, Ground Water, 9 (1), pp. 25-29 (1971)), Birsoy and Summers (YK Birsoy and WK Summers, Determination of aquifer parameters from (2), pp. 137-146 (1980)) and Kruseman and de Ridder (GP Kruseman and Ridder, Analysis and evaluation of pumping test data, International Institute for Land Reclamation and Improvement, Wageningen, the Netherlands, 2nd ed., (completely revised), 377p (1991)).

In addition, Bierschenk (WH Bierschenk, Determining well efficiency by multiple step-drawdown tests, International Association of Scientific Hydrology, 64, pp. 494-507 (1963)) and Kasenow (JW Labadie, and OJ Helweg, Step-drawdown test analysis by computer, Ground Water, 1995) 13 (5), pp. 438-444 (1975)), Shehan (NT Sheahan, Discussion of step-drawdown test analysis by computer, Ground Water, AD Gupta, On analysis of step-drawdown data, Ground Water, 27 (6), pp. 874-881 (1989)), Singh (SK Singh, Optimization of confined aquifer parameters from variable hydraulic pump test, J. Hydraul. Eng (Shekhar, An approach to interpretation of step drawdown tests, Hydrogeology Journal, 14, pp. 1018-1022 (2006)), Presented the numerical and optimization methods.

Using the iterative method, the optimal mathematical constants B, C (), and C () are obtained by using Miller and Weber (CT Miller and WJ Weber, Rapid solution of the nonlinear step-drawdown equation, And a method for estimating the P value.

7 (4), pp. 17-23 (2008), pp. 17-23 (2008), pp. 17-23 (Korean Institute of Soil Science and Ocean Engineering, Seoul, Republic of Korea) 2002) reported that the correct P value is an important factor in understanding the adiabatic rock layer since the thermal properties in the thermal insulation bed dominate the fluid velocity.

In this study, the effect of time selection on the analytical results in the analysis of the pumping test, Lee, Jin - Yong, Song, Sung - Ho, Time selection can cause significant errors in the aquifer constants related to wells. 19 (1), pp. 71 ~ 79 (2009)), the effect of well-constants calculation method on the well efficiency, When the proposed P = 2.0 is estimated, the effect of well water constants on the well efficiency and inadequacy of the well efficiency evaluation in the adiabatic rock layer are suggested, while the compatibility of the nonlinear model in the porous medium and the adiabatic rock layer is suggested . And the problems of the estimation of the optimum water intake of the withdrawn water have been suggested by Lee Jin-yong (Lee Jin-yong, Problems of Calculation of the Optimum Water Flow Rate through Phase Pumping Test, Korean Geological Society, 46 (5), pp. 485 ~ 495 (2010)).

The present phase pumping test analysis requires a solution using nonlinear equations. In order to investigate the laminar flow and turbulence flow in adiabatic rocks during the pumping test, the permeability is measured in relation to the well head loss factor and the well head exponent. The research on this subject is considered to be insignificant. In addition, application of this step pumping test is hardly applied to the insulating rock mass.

The reason for this is that the pumping tests conducted to develop the wells are used only for the analysis of the maximum pumping capacity, the optimal pumping capacity of the well, the well efficiency and the prediction of the water level drop due to the increase of the pumped water.

SUMMARY OF THE INVENTION The object of the present invention which has been devised to solve the problems described above is to evaluate a method of evaluating the high and low permeability of an insulating rock layer by using the relationship between the well loss factor and the well loss factor To provide.

Particularly, in this patent, by using the well-loss term (CQ ^P ) calculated by the least square method (Labadie and Helweg's least-squares method) in the step pumping test, We want to evaluate the high and low permeability insulation.

In order to achieve the above object, the present invention provides a method of measuring a water level drop (s _w ) of a water yield according to a time elapsed from a step pumping test of pumping water, Obtaining an optimal aquifer head loss coefficient (B), a well head loss coefficient (C) and a well head loss index (P) from the obtained water level drop (s _w ); And a water level of the step pumping test drop equation ^{_{(s w = BQ + CQ p}} ) to evaluate the well head loss (CQ ^p) linear flow region and the turbulence heat insulating water-permeable flow divided by the flow section to identify the relationship between the C and P from Wherein BQ is an aquifer head loss by a laminar flow, CQ ^p is a well head loss by a turbulent flow, and Q is a positive yield rate.

The optimum B, C, and P are calculated by applying the least squares method of the nonlinear model to the water descent formula (s _w = BQ + CQ ^p ) of the step pumping test.

The linear flow section and the turbulent flow section are classified into the following two types: a laminar flow in which the water level descent linearly increases from the adiabatic rock aquifer; a high-water insulation period; and a turbulent flow in which the water- As shown in FIG.

Also, the relationship between C and P in the well head loss term is characterized by being obtained from a regression analysis.

In the present invention, a technique of evaluating the high and low permeability in a single hole using the well head loss term (CQ ^p ) of the water drop equation (s _w = BQ + CQ ^p ) is proposed and the following expected effects can be expected have.

In the relation of CQ ^p using the well loss term in the adiabatic rock layer, it is possible to grasp the main aquifer section in the reservoir and to compare the state of the high and low permeability section.

Also, it can be used as a basis to identify the hydraulic fracture section of the whole insulation analyzed from the balloon physics logging.

It is considered that the uncertainty of overestimation and underestimation due to the thickness of the aquifer during the calculation of the hydraulic characteristics (K, T, S) will be reduced by discriminating the thermal insulation and the insulation. For example, the turbulent flow interval in which the water level drops sharply can provide a basis for excluding an aquifer layer (thickness) because the permeability coefficient (T) is overestimated.

In addition, it is possible to evaluate the permeability in the tank by using the analytical technique only by using the method of evaluating the high and low permeability of the adiabatic rock aquifer of the present invention, and to grasp the aquifer-rich aquifer section, It is possible to use it.

1 is a positional diagram of a pumping cell used in the test example of the present invention
Figure 2 is a geological cross-sectional view of amphibious pits.
Fig. 3 is a time-dependent water level drop graph in the step pumping test for the pumping water shown in Fig.
Figs. 4A and 4B are graphs of the water level drop amount of the casing of the amphibious type.
Figures 5A, 5B and 5C are graphs of the sum of aquifer head loss and well head loss.
6 is an adiabatic distribution chart according to the water level drop from the step pumping test.
7A, 7B, and 7C are graphs of head loss of aquifer and amphibian obtained from the step pumping test.
FIG. 8 is a graph showing a regression analysis result of C value and P value of CR-1, CR-2, and SR-1.
Figs. 9A, 9B and 9C are graphs showing the relationship between open and closed thermal insulation distributions according to the water level drop in the step pumping test.
10 is a flow chart of the method for evaluating the porosity of the bottom and the bottom according to the present invention.

Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings. In the following description, well-known functions or constructions are not described in detail since they would unnecessarily obscure the gist of the present invention.

According to the present invention, the method of evaluating the well head loss factor and the well head loss index in the step pumping test based on the above description and evaluating the high and low permeability in the insulating rock layer is as follows (see FIG. 10).

Water level drop (see s _w = BQ + CQ _^p, Fig. 2) (s _w) can be expressed as the sum of the aquifer and the head loss and the well head loss from the step pumping test. Where (BQ) is the aquifer head loss, (CQ ^p ) is the well head loss, B is the aquifer head loss factor, C is the well head loss factor, and P is the well head loss index. In addition, nonlinear equations proposed by Labidie-Helweg (1974) can be used to obtain the water drop (s _w ), but are not limited thereto.

The well parameters are calculated from the water descent formula.

The permeability is divided into laminar flow and turbulent flow (see FIG. 8) by determining the relationship between C and P of the well head loss term (CQ ^p ) from the water level drop of the step pumping test. At this time, the relationship between C and P can be obtained by regression analysis.

4B, the permeability is determined by classifying the linear flow and the turbulent flow interval in the water level drop interval and applying the classified interval in the relationship of C and P, respectively.

In the method for evaluating the high and low permeability in such an insulating rock layer, the process of calculating the well constants will be described first.

Step pumping test was first proposed by Jacob (1947) as a field test method to provide a lot of information about pumping and aquifer (well efficiency, quantity, development potential, maximum pumped water, adequate pumped water) It is a way to interpret the relationship.

The aquifer head loss coefficient (B), the well head loss coefficient (C), and the well head loss index (well), which are the optimal well constants, were measured from the stepwise pumping test in the porous medium and the adiabatic rock aquifer. The Jacob's method of the linear model and the least squares method of the nonlinear model were used to calculate the head loss exponent P (see Table 2).

Here, the loss coefficient of well head (C) refers to the head loss flowing from the aquifer, and as the water quality increases, the coefficient that flows into the air decreases. On the other hand, as the water quantity decreases, the groundwater flow into the ball becomes larger by the turbulence. The well head loss coefficient reflects the permeability of the upper layer with laminar flow. In addition, the well head loss index (P) is the groundwater flow due to hydraulic insulation. As the frequency of hydraulic insulation increases, the index decreases and the water permeability becomes higher. When the frequency of hydraulic insulation decreases, the index increases, see. The well head loss index reflects the permeability of the lower aquifer, which can show turbulent flow due to the increase in pumped water.

Jacob's graphical method is the most common graphical technique for analyzing phase pumping data. In this graphical method, when the well finishing exponent P is 2, dividing both sides by Q in the equation (s _w = BQ + CQ ^p ), (s _w / Q) becomes a non-level drop. For a linear model (graphical method) applied in an insulating rock bed, the aquifer head loss is underestimated and the well head loss is overestimated. Also, the aquifer loss can not be seen or applied due to the very rapid water level drop.

In addition, the process of obtaining the solution of the nonlinear model and the model are more complicated than the linear model in the stepwise pumping test analysis, but the nonlinear model is more approximated to the linear model than the linear model. The conditions at the time of turbulent flow generation can be reflected in a more suitable model. Therefore, the permeability of the adiabatic rock layer can be evaluated by using the relationship between the well loss factor and the well head loss index of the well head loss equation estimated in the nonlinear manner (see FIGS. 4A to 4B).

In addition, the nonlinear analysis method from the stepwise pumping test obtained from the adiabatic rock layer not only predicts the water level drop ideally, but also predicts hydraulic fracture, main aquifer, .

The nonlinear model is a numerical analysis method using the least squares method to calculate B, C, and P in the solution of the equation (s _w = BQ + CQ ^p ) C and P values are calculated. From the equations (1) to (3), a simultaneous equations for estimating the least squares values as partial derivatives of B and C, and nonlinear least squares method is used to calculate B, C and P values.

Where B is the aquifer loss coefficient, C is the well head loss factor, BQ is the aquifer head loss due to laminar flow, CQ ^p is the well head loss due to turbulence, P is the well head loss index, Q is the positive yield [L ³ _/ T ], s _w is the water level drop in the pumping water.

Next, the loss of well head due to the turbulent flow is described.

In the case of pumping water in pumping water, the loss of well head is caused by multiple causes such as casing and screen, and deformation of pore wall during drilling. However, unlike the porous medium, the casing of the pumped irrigation aquifer is installed from the surface to the weathering zone, and thereafter, the section of the pumped aquifer is open-hole. Insulation in the pore wall of the amphibious pore due to impact during drilling tends to be damaged or expanded, but the effect of the pore wall thermal insulation damage is not significant in the physical log results.

Thus, the well head loss in the adiabatic rock aquifer has similar factors, such as loss of well heads due to screens installed in the porous media. And, the insulations penetrating the pumped water act like a screen, and the groundwater flow rate changes according to the thermal insulation characteristics penetrated. In this case, the two flows of the geometry are reynolds number (Re) (Re = (v · d) / υ, where v is the unit velocity of Darcyan, d is the length of the porous matrix, and v is the kinetic viscosity coefficient.

Laminar flow is a dominant flow of viscous force, characterized by a flat and constant flow, at which time the Reynolds number is low. On the other hand, turbulence is the dominant flow of inertia, and the Reynolds number is high due to the complex features of irregular eddy and flow perturbation. In this case, when the yield is increased in the pumping water, the single waterproofing through the pumping water and the low frequency of adiabatic cooling, the increase of the groundwater velocity flowing along the narrow insulation gap and the decrease of the inflow volume, .

Estimation of C and P values is very useful for the analysis of adiabatic rock aquifers, given that the turbulence associated with fluid velocity correlates with the adiabatic properties of C and P values. Theoretically, both the yield and the water level drop are linearly proportional to the laminar flow conditions, as shown in Figure 4b. However, the turbulent flow over a certain positive yield rate shows a sudden drop in the water level drop when the turbulent flow interval is greatly expanded as the water yield increases, and the water level drop increases exponentially. That is, the laminar flow section in which the water level descent linearly increases has a high permeability section, and the turbulent flow section in which the water level descent exponentially increases decreases the permeability of the groundwater through the insulation . Therefore, the laminar flow that linearly increases the water level drop from the adiabatic rock aquifer is interpreted as a highly water - insulated section, and the exponentially increasing turbulent flow is interpreted as a low - permeability insulated section.

<Test Example>

Using CR-1 and CR-2 mortars located in Chungbuk Cheongwon and SRs located in the area of Sajik-dong, Busan, by using the high and low porosity evaluation method using the well head loss term in the stepwise pumping test in the adiabatic rock aquifer according to the present invention, -1 step pumping test (see Fig. 1).

In Chungbuk Cheongwon area, there are Ungryri and Jurassic Daebo granitic rocks. Among them, granitoids are Jurassic granitic rocks such as Cheongju Granite, Boeun Granite, Biotite Granite, and Biomite Granite. The crater where CR-1 and CR-2 are located is Cheongju Granite. The members of Sajikdong in Busan are the andesites of the Icheonri and Yucheon strata belonging to the Cretaceous Haeyang Group. And granodiorite rocks intruded later, and the rock phase where the SR-1 coffin in Figure 2c is located is an andesite. Vertical geologic characteristics at the location of each amphibious pile are composed of alluvial layers (sand, gravel, clay) and weathering zone from the upper part, and a rock layer with adiabatic development is formed in the lower part.

Table 1 shows the depth of drilling, depth of drilling, depth of casing, and depth of submerged pump installation for each amphibious pavement excavated in the aquifer. The pumping water of the step pumping test was measured by V-notch, and the pumping step was performed from at least 5 steps to 6 steps at maximum. The results are shown in the graph of the time-dependent water level drop as shown in FIG.

division Well depth (m) Well diameter (m) Casing depth (m) Underwater pump depth (m) CR-1 100 0.2 54 90 CR-2 100 0.2 9 90 SR-1 100 0.2 25 80

The present invention compares and analyzes the well constants of the linear and nonlinear models (see Table 2) to demonstrate that the nonlinear model is very suitable and efficient for the analysis of the stepped amphibious test from the stepped amphibolite data obtained from the adiabatic rock aquifer. And the well head loss term estimated from the nonlinear model is to analyze the high and low permeability characteristics of the anther rock aquifer.

The values of B, C and P estimated from the nonlinear model from the adiabatic rock aquifer were found to agree with the water level drop with increasing positive yield. This is because it eliminates the slope of the linear regression curve and the subjective error associated with the structure of the y-intercept. In the CR-1 and 2 complexes estimated as linear models, the well constants (B, C) due to very rapid water level drops are underestimated. B and C values are low due to the rapid water level drop in CR-1 pool (Step 5 ~ 6: 41.09m), while the B and C values due to very rapid water drop (Step 2 ~ 5: 78.91m) And the C value due to the steep slope showed a slightly larger value. The B value of SR-1 was slightly lower than the linear model, and the C value was slightly higher. This is because the linear equation is determined as the average value of the coefficients calculated by the combination of each step or the increased step positive. In particular, the linear model is not suitable for CR-1, 2, where the water level drop is very rapid.

The water level measured in the SR-1 simulator applied as a nonlinear model in the adiabatic rock aquifer was similar, but the B value calculated by the nonlinear model was slightly lower than that of the linear model, and the C value was slightly higher. This is because it is the geometric slope of the straight line in the Jacob method graph. Therefore, the geometric slope of the straight line did not appear in the graph of the water level drop which exponentially increases very rapidly when the Jacob method in CR-1, 2 is used.

The water level drop in the adiabatic rock aquifer using the above results can be represented by the sum of aquifer head loss and well head loss as shown in FIGS. 5A to 5C. When the linear model is used for CR-1, 2 and SR-1 in the adiabatic aquifer aquifer, the estimated water level drop is underestimated as the yield rate increases significantly. The RMSE of CR-1, 2 and SR-1 are low in the nonlinear model when compared with the linear and nonlinear models, and the coefficient of determination (R ² ) is higher in the nonlinear model than in the linear model. The P value is estimated to be in the range of 3.459 ~ 8.290, which means that the hydraulic characteristics in the adiabatic rock aquifer are very diverse.

The groundwater flow in the adiabatic rock aquifer is largely influenced by the adiabatic characteristics such as insulation length, spacing, aperture, infilling materials, connectivity, and roughness. do. In particular, as shown in Fig. 6, the groundwater flow shows a high or low water level drop depending on the interconnection of the repair insulation in the step pumping test. As shown in FIG. 6 (a), the upper part of the CR-1 pool is developed as weathered rock, and the lower it goes down, the less the adiabatic distribution is. As shown in FIG. 6 (b), the CR-2 openings have a high thermal insulation distribution, and the open fractures are highly developed in the 15-30 m section of the surface. Also, the lower the temperature, the less the adiabatic distribution is. As shown in FIG. 6 (c), the SR-1 cavity is uniformly developed and the hair fracture is uniform throughout the entire depth. Generally, it is known that the adiabatic distribution and groundwater flow are correlated with each other. However, the water level drop is very rapid even though CR-2 is higher than CR-1. This is because the interconnection of the insulation of the groundwater flow is weak, so that the groundwater flow toward the pumping water at amphibia is increased and turbulence is generated. At this time, the water level drops very rapidly.

Thus, the P value associated with turbulence corresponds to the exponent for the loss of well head, so the loss of well head depends largely on the value. And, the loss of well head in the adiabatic rock aquifer is indicated by the adiabatic specificity. The larger the P value, the larger the turbulent section is expanded in the pumping water. The smaller the P value, the smaller the turbulent section is expanded. Therefore, even if the adiabatic distribution is much developed in the adiabatic rock aquifer, if there is no interconnection of the adiabatic space, the turbulent flow interval is relatively expanded in the pumping water as shown in FIG. 6 (b)

As shown in Fig. 7, the water level drop according to each positive yield from the pumping water installed in the adiabatic rock aquifer is represented by a nonlinear model. The range of C was 3.689 × 10 ^-19 to 5.825 × 10 ^-7 and the P value was in the range of 3.459 to 8.290. In the case of pumice excavated in the aquifer in the adiabatic rock aquifer, the groundwater flow is generated in the pumping water in the upper part of the weathered rock and in the region where the insulation distribution and interconnectivity are very high. As the yield increases, the rapid water level drop in the pumping water is related to the interconnection of the adiabatic fluid. Since the groundwater flow flowing into the pumping water flows along the narrow insulation, the loss of the well head and the turbulent flow are highly related to the water yield . Therefore, the groundwater flow into the pumping well in the amphibolite test shows that the well head loss and the turbulent flow interval are larger or smaller depending on the well head loss index P value. That is, if the P value increases with increasing the yield rate, the loss of well head and the turbulent flow interval are relatively large. On the other hand, if the P value is small, the loss of well head and the turbulent flow interval are small.

The rapid water level drop in the pumping water depends on the loss of the well head. The loss of the well head appears to be large or small depending on the characteristics of the insulation. At this time, the well head loss coefficient (C) and the well head loss index (P) value of the well head loss term (CQ ^p ) are the main cause of the well head head loss depending on the interconnectivity of the insulation rather than the number of the insulation. Therefore, the regression results for the C and P values of CR-1, CR-2, and SR-1 were inversely increased as shown in FIG. Regression analysis of C and P values is shown in Equation 4, and R ² is 0.9245.

Here, when C of SR-1 is 1 × 10 ^-7 <C ≤ 1 × 10 ⁰ , P has a range of 1.79 <P ≤ 4.32 and shows a high permeability as a whole. When the CR-1 hogong of ^{C 1 × 10 -15 <C≤1 ×} 10 -7 P showed a 4.32 <P≤7.20 range. At this time, the groundwater flow of 3.08 ~ 46.81m below the surface showed low permeability flow and very low permeability flow at 46.81 ~ 100m below the surface. When C of CR-2 is 1 × 10 ^-25 <C ≤ 1 × 10 ^-15 , P has a range of 7.20 <P ≤ 10.80. At this time, a very high permeability flow was observed at 3.80 ~ 10.79m below the surface, and a low permeability of groundwater flow at 10.79 ~ 100m below the surface. As C and P values decrease, laminar flow develops because of the small turbulence effect. Turbulent flow is dominant because the permeability of the aquifer is low when C and P values are large. If the C value is very small and the P value is very large, the laminar flow with high permeability is developed in the upper layer, and the turbulent flow is greatly developed in the lower part. Therefore, the characteristics of the turbulent flow region and the thermal insulation can be grasped through the relationship between C and P values as shown in FIG.

The loss of the well head in the porous medium layer is caused by various and complex causes such as casing, screen, and wall deformation during drilling. However, the loss of well head in the adiabatic rock aquifer is caused by the open hole) state is considered to be most affected by the adiabatic characteristics. Insulations directed to the gutters have groundwater flow along narrow aisle passages or groundwater flow with high watertight or low permeable flow depending on the insulation characteristics. There is also a level drop in the impervious section due to lack of connectivity to the insulation, depositional minerals and contact on asperity. Depending on the adiabatic characteristics, groundwater flux changes occur as laminar and turbulent flows characterized by dominant flow fluctuations due to laminar and turbulent flows. The characteristic of the well head loss (CQ ^p ) in the porous medium is due to the casing and the screen, but the characteristics of the wells penetrated in the adiabatic rock aquifer are interpreted as loss of well heads such as screen, It is very useful to analyze head loss due to fracture.

Water level drop in the insulation section of the bedrock aquifer yield for each step the amount is capable of analysis of the high and low water-permeable insulation to the calculated result in a non-water level drop (s _w / Q). Also, it can be concluded that the quantitative analysis of the thermal insulation loss can be done according to the values of C, Q, and P in the well head loss terms in the adiabatic rock aquifer.

Therefore, the stepwise pumping test analysis can be used to determine the well constants B, C, and P, where knowing the values of B, C, and P will ideally predict an extended water level drop that is not affected by the test analysis. . It also has the advantage of analyzing the characteristics of turbulence and thermal insulation in the range of C and P values calculated by Least Squares method in adiabatic rock aquifer. These least squares methods are well suited for porous media as well as for adiabatic rock aquifers based on nonlinear functions.

The water level drop in the pumped aquifer in the adiabatic rock aquifer is affected not only by the inherent geometry of the aquifer but also by the nonlinear deformation of the aquifer during pumping in the pumping water. The hydraulic characteristics of the aquifer using this nonlinear model can be interpreted as the relationship between the C and P values of the well head loss term. The calculation of B, C, and P values according to the increase of the yield yields the laminar and turbulent flow periods. The P value in the adiabatic rock aquifer is very important and sensitive. In general, the value of Jacob is fixed at 2 because the slope of the water level drop due to the positive yield increases linearly in the porous medium layer and in the aquiferous aquifer with high permeability. However, Rorabaugh found that the values for the low pumping range ranged from 2.43 to 2.82, for Labade and Helweg ranged from 1 to 4, and Jha et al. Showed the numerical analytical methods (Levengerg-Marquardt method and Gauss-Newton Technique And the range of P values estimated from genetic algorithms ranged from 1.60 to 6.03. The range of P values estimated from the test examples of the present invention was high in the range of 3.459 to 8.290. In this case, the P value and the turbulent flow interval related to the loss of the well head are extended. However, if the water level drops from the same water column to the permeable adiabatic section, the water level decrease due to the positive yield increases linearly, so that the P value is close to 2. The water head loss and the turbulent flow interval are different according to the selection of the range of the water level drop due to the increase of the positive yield in the low permeability adiabatic section. Therefore, it is considered more accurate to analyze the thermal insulation characteristics of the aquifer under the aquifer down to the aquifer depth because the range of the P value and the turbulent flow interval in the adiabatic rock aquifer are different according to the thermal insulation characteristics.

While the present invention has been particularly shown and described with reference to exemplary embodiments, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, Will be possible.

Claims (4)

Obtaining a water level drop (s _w ) according to the elapsed time of the positive yield from the step pumping test of the pumping water;
Obtaining the aquifer head loss coefficient (B), the well head loss coefficient (C) and the well head loss index (P) from the obtained water level drop (s _w ); And
Water level drop in the step pumping test expression ^{_{(s w = BQ + CQ p}} ) evaluating a well head loss (CQ ^p) linear flow region and the turbulence heat insulating water-permeable flow divided by the flow section to identify the relationship between the C and P from Lt; / RTI &gt;
Where BQ is the aquifer head loss due to laminar flow, CQ ^p is the well head loss due to turbulent flow, Q is the positive yield,
The relationship between C and P is P = 1.7940-0.1565 x ln C,
The evaluation of the high and low permeability of the adiabatic rock mass used for the relationship between C and P,
When C is 1 x 10 &lt; ⁷ < C x 1 x 10 ⁰ , P has a high permeability flow when it has a range of 1.79 < P &
When C is 1 × 10 ^-15 <C ≤ 1 × 10 ^-7 , P has a low permeability flow if it has a range of 4.32 <P ≤ 7.20,
Characterized in that when C is in the range of 1 x 10 &lt; ²⁵ &lt; C x 1 x 10 &lt; ^-15 &gt;, P has a very low permeability flow, Sexuality evaluation method.
The method according to claim 1, wherein B, C, and P are calculated by applying a least squares method of a nonlinear model to a water descent formula (s _w = BQ + CQ ^p ) .
The method according to claim 1, wherein the linear flow section and the turbulent flow section are classified into a laminar flow type in which the water level drop linearly increases from the adiabatic rock aquifer, a high-water-temperature adiabatic section, and a turbulent flow in which the water level descent exponentially increases And a water permeable heat insulating section.
The method according to claim 1, wherein the relationship between C and P in the well head loss term is obtained from a regression analysis.

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