CN117967270A - Low-permeability tight gas reservoir adjustment encryption well pattern deployment method - Google Patents
Low-permeability tight gas reservoir adjustment encryption well pattern deployment method Download PDFInfo
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Abstract
The invention relates to the technical field of development and design of low-permeability tight gas reservoirs, in particular to a method for adjusting and encrypting well pattern deployment of a low-permeability tight gas reservoir. The invention aims to provide a set of encryption well pattern adjusting method capable of effectively improving well pattern deployment accuracy for a hypotonic compact gas reservoir, wherein the method adopts a method combining numerical simulation and gas reservoir engineering to study the specific implementation steps of encryption well pattern adjustment of the hypotonic compact gas reservoir; through optimizing the encryption-planned area, researching the EUR and the pressure drop degree of the encryption-planned well, optimizing the well type and the well spacing of the encryption-planned well, a set of method for economically and effectively adjusting the encryption well pattern is provided, the reservoir where the encryption-planned well is located is analyzed more accurately, and the deployment of the low-yield encryption well can be effectively reduced.
Description
Technical Field
The invention relates to the technical field of development and design of low-permeability tight gas reservoirs, in particular to an encryption well pattern deployment adjustment method.
Background
The low permeability tight gas reservoir often has the characteristics of complex reservoir structure, strong heterogeneity, difficulty in realizing high-precision exploration in the early development stage and the like, and along with the continuous deep development of a gas field, the problems of continuous reduction of a high-quality reserve area, gradual reduction of reservoir quality and the like occur. While the low permeability tight gas reservoir is usually developed by adopting a fixed well pattern development mode in the early stage of development, the whole reserve of the gas reservoir is difficult to use in the initial well pattern, so that the well pattern adjustment encryption is required to be carried out on the gas reservoir in the middle and later stages of development. The current common method for encrypting the low-permeability tight gas reservoir well pattern comprises the following steps: determining the well pattern encryption feasibility of the target gas reservoir by analyzing the average accumulated gas production corresponding to different well pattern densities, the encrypted well production and the recovery ratio increment (a method and a device CN107939371A for determining the well pattern encryption feasibility); the method comprises the steps of carrying out simple abundance calculation and final accumulated gas yield prediction on the existing well completion, and rapidly and accurately measuring and calculating the number of encryptable wells through gas yield-reserve-recovery ratio association analysis (a compact gas reservoir well pattern encryption potential evaluation method CN 112031757B); on the basis of knowing the logging permeability and the reservoir abundance of the sand, the method and the system for predicting the reasonable well pattern density and the encryption adjustment time of the tight gas reservoir (CN 115936232A) are used for rapidly predicting the reasonable well pattern density and the encryption adjustment time; by purging oil from those areas of the formation that are least affected by the original fluid distribution pattern, the oil displacement efficiency (an encrypted well pattern US4610301 a) is improved. Classifying target blocks by analyzing the development condition of the target block reservoir and combining the reservoir abundance, and researching the relation between different well pattern densities and recovery ratios (Hu Yong, mei Qingyan, wang Ji are equal) aiming at each reservoir type; comprehensive evaluation by combining means of geologic model, numerical simulation, dense well pattern test data verification and the like considers that reasonable encryption well pattern should be matched with effective Chu Cengzu types and closely related to gas price and cost conditions (JIAAilin,WANG Guoting,MENG Dewei,GUO Zhi,JI Guang,CHENG Lihua.Well pattern infilling strategy to enhance oil re-covery ofgiant low-permeability tight gasfield;a case study ofSulige gasfield,Ordos Basin[J].Acta Petrolei Sinica,2018,39(7)：802-813).
The current common well pattern encryption mode is aimed at the whole block, so that the relationship between the density of the encrypted well pattern and the recovery ratio and the cumulative gas production of a single well are demonstrated, and the optimal well pattern density is selected. However, the hypotonic tight reservoir is extremely complex, has strong heterogeneity, and mainly refers to reservoir abundance when the encryption potential area is selected, and the parameters can represent the reservoir plane distribution condition of each block, but cannot reflect the longitudinal development condition of the reservoir. Therefore, when the existing well pattern encryption method is adopted to well the low-permeability tight gas reservoir, the condition that the production effect is not ideal after the production of partial encrypted wells is performed is unavoidable, the gas reservoir exploitation cost is increased, and a method capable of accurately analyzing the well arrangement adaptability of a small-range reservoir is urgently needed.
Disclosure of Invention
The invention aims to provide a set of encryption well pattern adjusting method capable of effectively improving well pattern deployment accuracy aiming at a hypotonic compact gas reservoir, the method combines numerical simulation and gas reservoir engineering, considers the pressure drop condition of an encryption well in addition to the abundance of reserves when the encryption potential area is optimized, analyzes a reservoir where the encryption well is positioned more accurately, can effectively reduce the deployment of low-yield encryption wells, and achieves the purposes of cost reduction and efficiency enhancement. In order to achieve the above purpose, the present invention adopts the following technical scheme:
The method comprises the following steps:
S1, establishing a gas reservoir geological model according to logging interpretation reports, geological data and the like in the earlier stage of target gas reservoir development. And (3) establishing a target gas reservoir numerical model according to production dynamic data such as gas production, water production, oil casing pressure and the like of the current production well of the target block, and fitting the block reserves, the oil casing pressure and the yield. On the basis, predicting the cumulative gas yield EUR and the formation pressure of a single well for 30 years, and determining the distribution condition of the residual reserves of a target gas reservoir;
S2, counting the EUR values of single wells of the existing production wells according to the numerical simulation result, and dividing the production wells into class I high-yield wells, class II medium-yield wells and class III low-yield wells according to normal and abnormal distribution.
S3, analyzing the residual reserve distribution condition of the target block, and combining the reserve abundance, wherein the average effective thickness, the porosity and the permeability of the reservoir are preferably selected from encryption potential areas according to the following preferred principles: based on the step S2, each physical parameter of the reservoir where the class II well is located is counted, and the reservoir abundance, average effective thickness, thickness weighted porosity and permeability of the class II well are used as the lower limit of the encryption potential area screening.
And S4, determining the encryption well type and the reasonable well spacing according to physical properties and geological conditions of the reservoir of the potential area to be encrypted.
S5, in the preferred encryption-planned area in the step S3, well positions and well numbers of the encryption wells are preliminarily determined according to the encryption well types and well distances determined in the step S4.
S6, defining a pseudo-encryption well in the numerical simulation model established in the step S1, simulating the production of the pseudo-encryption well for 30 years, and analyzing the changes of single well EUR, formation pressure and the like of the pseudo-encryption well;
s7, calculating economic limit EUR of a target gas reservoir optimal well type;
And S8, screening the EUR of the to-be-encrypted well in the step S6 to be more than or equal to the economic limit EUR, wherein the pressure drop degree of the to-be-encrypted well is smaller than the average single well pressure drop degree of the production well in the class II in the step S2.
And S9, determining the well screened in the step S8 as a final encryption well of the target gas reservoir.
Further, in the step S2:
And (3) counting each single well EUR predicted in the step (S1) by adopting the bias distribution and the normal distribution, drawing an EUR probability distribution curve graph, and determining classification boundaries of the class I high-yield well, the class II medium-yield well and the class III low-yield well by using curve inflection points. The first inflection point value near the origin in the EUR probability distribution curve is a class III upper well limit and a class II lower well limit, and the second inflection point value is a class II upper well limit and a class I lower well limit.
Further, the step S4 includes:
s41, comparing average daily gas production, EUR and single well investment of the produced well according to reservoir physical properties and geological conditions of the encryption potential area and combining implementation effects of the produced horizontal well and the adjacent vertical wells, and demonstrating the adaptability of the vertical wells and the horizontal wells of the well site of the simulated well.
S42, performing well spacing rationality evaluation on the target gas reservoir by analogy, economic limit well spacing, economic reasonable well spacing and yield unstable analysis. The comprehensive evaluation of the reasonable well spacing is within the well spacing range obtained by the analogy method and is larger than the economic limit well spacing.
Further, the economic limit well pattern density refers to the well pattern density with the total output equal to the total input, that is, the total profit is zero, and the calculation formula is as follows:
Wherein: f min is the economic limit well pattern density, and the open well/km 2;ER is the recovery ratio,%; commodity rate of alpha gas,%; n geological reserves, 10 8m3;Ta gas tax yields, decimal; p is monovalent, meta/m 3; o gas operating costs, yuan/m 3; a gas-containing area, km 2; i, total investment of single well, ten thousand yuan; r loan interest rate, decimal; the evaluation period and year of T; d min economic limit well spacing, m.
Further, adding reasonable profit on the basis of the formula A to obtain an economic and reasonable well pattern density calculation formula, namely:
Wherein: f α is economic and reasonable well pattern density, and well opening/km 2;LR is reasonable profit, yuan/m 3.
Further, a typical representative well of a high-yield well, a medium-yield well and a low-yield well of class I and class II is selected, gas production and oil casing pressure of the typical representative well are subjected to history fitting by adopting a production unstable analysis method, the control radius of the typical well is determined, and twice of the control radius is taken as a well distance.
The typical representative wells of the I type high-yield well, the II type middle-yield well and the III type low-yield well are wells with similar average EUR of the I type high-yield well, the II type middle-yield well and the III type low-yield well.
Further, the step S7 includes:
The economic limit EUR calculation uses the cash flow method: the net cash flow is the difference of the total cash inflow amount minus the total cash outflow amount, the single well drilling, ground investment, pressurizing investment, gas price, production cost, stable production period, annual output decreasing rate, commodity rate, various tax rates, education fee addition, water conservancy construction foundation and internal yield are comprehensively considered, the cash flow is comprehensively reversely pushed, and the calculation formula D of the cash flow method is as follows: annual cash flow = (current annual discount coefficient/(1 + discount coefficient)) × [ original EUR × annual yield decline rate × commodity rate × (sales price-production cost-resource tax-water conservancy construction foundation × (1-income tax)) -value added tax × (urban construction tax + education fee additional) +single well ground investment-single well boost investment) × income tax ]; finally, the year when the accumulated cash flow is changed from the negative number of the loss to 0 can be obtained, and the corresponding economic limit accumulated gas yield is the economic limit EUR.
Compared with the prior art, the invention provides a method for adjusting the deployment of the encrypted well pattern, which has the following beneficial effects:
The invention adopts a method combining numerical simulation and gas reservoir engineering to study the specific implementation steps of the encryption well pattern adjustment of the low-permeability tight gas reservoir. Through optimizing the encryption-planned area, the EUR and the pressure drop degree of the encryption-planned well are researched, the well type and the well spacing of the encryption well are optimized, and a set of method for economically and effectively adjusting the encryption well pattern is provided.
Drawings
FIG. 1 is a flow chart of a method for adjusting an encrypted well pattern deployment of a hypotonic tight gas reservoir;
FIG. 2 is a graph of the current formation pressure profile for layer A3 in the example;
FIG. 3 is a graph showing the results of a single well limit EUR partition in an embodiment;
FIG. 4 is a block encryption potential partitioning result of an embodiment;
FIG. 5 is a schematic diagram of a target block pseudo-encryption well site deployment in an embodiment;
FIG. 6 is a graph showing results of EUR measurements for single well economic limits for a vertical well;
FIG. 7 is a diagram of a target block final determination encryption well placement deployment map in an embodiment.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention provides a technical scheme that:
Taking a certain tight lithology gas reservoir as an example, the gas reservoir is mined in a failure way, four development layers A1, A2, A3 and A4 are longitudinally arranged from top to bottom, and an A1 and A2 secondary production layer and a main force layer A3 and A4 are overlapped and developed, wherein the current formation pressure distribution of the main force layer A3 is shown as a figure 1, a target block is put into production at the position of a vertical well 179, a horizontal well 2, the reserves of the target gas reservoir are not completely controlled by the existing well pattern, and encryption well pattern adjustment is needed for the gas reservoir.
A method for adjusting and encrypting well pattern deployment by a hypotonic tight gas reservoir comprises the following steps:
And S1, establishing a gas reservoir geological model according to a logging interpretation report, geological data and the like in the earlier stage of target gas reservoir development. And (3) establishing a target gas reservoir numerical simulation model according to production dynamic data such as gas production, water production, oil casing pressure and the like of the current production well of the target block, and fitting the block reserves, the oil casing pressure and the yield. On the basis, predicting the cumulative gas yield EUR and the formation pressure of a single well for 30 years, and determining the distribution condition of the residual reserves of a target gas reservoir;
And S2, according to the numerical simulation result, counting the predicted single well EUR value of the existing production well, and drawing an EUR probability distribution diagram of the single well as shown in figure 3. The first inflection point value near the origin in the EUR probability distribution graph is 1400×10 4m3, the second inflection point value is 3800×10 4m3, and the classification standard is established as follows: the EUR of the type I well is more than 3800 multiplied by 10 4m3, the EUR of the type I well is between 3800 multiplied by 10 4m3～1400×104m3, and the EUR of the type I well is less than 1400 multiplied by 10 4m3.
And step S3, counting that the average value of the reservoir abundance of the production wells in the class II is 150m 3/m2 and the average effective thickness of the wells in the class II is 20m on the basis of the step S2. The effective thickness is taken as weight, the weighted average value of class II borehole clearance is calculated to be 5%, the weighted average value of permeability is calculated to be 0.45mD, the screening standard of the encryption potential area is shown in the table 1, and the dividing result of the encryption potential area is shown in fig. 4.
TABLE 1 encryption potential differentiation criteria
| Reserve abundance (m 3/m2) | Effective thickness (m) | Porosity (%) | Permeability (mD) |
| >150 | >20 | >5 | >0.45 |
And S4, determining the encryption well type and the reasonable well spacing according to the physical properties and geological conditions of the reservoir of the potential zone to be encrypted.
Further in step S41, because the A1 and A2 secondary producing layers and the main bearing layers A3 and A4 in the target zone are overlapped and developed, and the continuity of the A1 layer is poor, the A2 laminated collecting area is more, the effective drilling rate of the A3 and A4 layer horizontal well is low, and the target zone is primarily judged to be unsuitable for drilling.
Further compares the implementation effect of the put-into-production horizontal well and the adjacent vertical well: at present, the target block is put into production only for 2 horizontal wells, one of A3 and A4 layers is adjacent to 3 single-production vertical wells, the average daily yield of 2 horizontal wells in the initial stage of production is 2.21 multiplied by 10 4m3/d, the average daily yield of the adjacent vertical wells in the initial stage of production is 1.05 multiplied by 10 4m3/d, and the horizontal wells are 2.1 times of the vertical wells; the average single-well EUR of the horizontal well is 0.7975 X10 8m3, the average single-well EUR of the adjacent vertical well is 0.5350 × 8m3, and the horizontal well is 1.5 times of the vertical well; the investment of the horizontal well is 3.92 times of that of the vertical well. And comprehensively analyzing the geological conditions of the reservoir and the input and output of the horizontal well and the vertical well, and preferably using the vertical well as the encryption well type well.
Further in step S42, the target block geological reserves are 1149.05 X10 8m3, the overlapping gas-containing area is 725.38km 2, the average reserve abundance is 170m 3/m2, and the target block reasonable well spacing is comprehensively and jointly evaluated by analogy, economic limit well spacing, economic reasonable well spacing and yield instability analysis, wherein:
(1) Analogy method
The average permeability of the gas zone reservoir logging is about 0.66mD, and the average reserve abundance of the A1-A4 segments is 170m 3/m2. And according to comparison with permeability and reserve abundance of other gas fields, the analogy method estimates that the reasonable well spacing of target block development is 500-800 m.
(2) Economic limit well spacing
According to the economic limit well spacing formula, the economic limit well pattern density of the target block is 3.41 mouth/km 2, the economic limit well spacing is 611m, the calculated parameters are shown in Table 2, and the specific steps are as follows:
TABLE 2 economic limit well spacing and economic reasonable well spacing calculation parameters
| Parameters (parameters) | Value taking | Parameters (parameters) | Value taking |
| Recovery E R (%) | 60.3 | Area A containing gas (km 2) | 725.38 |
| Gas commodity rate α (%) | 96 | Total investment I (including ground) (ten thousand yuan) | 1126.66 |
| Geological reserve N (10 8m3) | 1149.05 | Loan interest rate R (decimal) | 0.062 |
| Tax rate of Qi T a (decimal) | 0.4496 | Evaluation period T (years) | 10 |
| Gas unit price P (Yuan/m 3) | 1.225 | Reasonable profit L R (Yuan/m 3) | 0.25 |
| Gas operating costs O (Yuan/m 3) | 0.197 |
(3) Economic and reasonable well spacing
Adding reasonable profit on the basis of the economic limit well pattern density, calculating the economic reasonable well pattern density of a target block to be 2.58 mouth/km 2, calculating the economic reasonable well distance 703m, and detailing calculation parameters as shown in table 2, wherein the specific calculation steps are as follows:
(4) Yield instability assay
On the basis of the step S2, selecting wells with similar average EUR of single-well EUR and I, II and III production wells as typical representative wells of I high-yield wells, II medium-yield wells and III low-yield wells, performing history fitting on gas production and oil casing pressure of the typical representative wells by adopting a production instability analysis method, determining a control radius of the typical wells, taking twice of the control radius as well spacing, and detailing in table 3.
TABLE 3 calculation of yield instability analysis
| Well category | Drainage radius average (m) | Calculating well distance (m) |
| I | 374 | 748 |
| II | 339 | 678 |
| III | 295 | 590 |
| Average value of | 336 | 672 |
The well spacing of the encryption wells is between 550 and 800m according to the result of comprehensive analysis and calculation, and the average value 688m is taken as the reasonable well spacing of the comprehensive evaluation encryption wells because the reasonable well spacing is similar to the result of calculation by the yield instability analysis method, and the details are shown in Table 4.
Table 4 comprehensive evaluation of reasonable well spacing
| Evaluation method | Calculating well distance (m) |
| Analogy method | 550～800 |
| Economic limit well spacing | 611 |
| Reasonable well spacing | 703 |
| EUR estimation | 672 |
| Comprehensive evaluation | 688 |
Step S5, in the preferred pseudo-encryption area in step S3, the arrangement of the pseudo-encryption wells into 96 vertical wells is preliminarily determined according to the well spacing of 688m, and the specific well position distribution is shown in FIG. 5.
Step S6, defining a pseudo-encryption vertical well 96 in the numerical simulation model established in the step S1, simulating the production of the pseudo-encryption vertical well 96 for 30 years, and analyzing the changes of single well EUR, formation pressure and the like of the pseudo-encryption well;
In step S7, the target block is preferably a vertical well, the economic limit EUR of the target block vertical well is calculated by adopting a cash flow algorithm, the economic limit EUR of the target block vertical well is calculated by adopting 10 years as an ineffective life, and the economic limit EUR of the target block vertical well is 1540×10 4m3 according to annual cash flow= (current annual discount coefficient/(1+discount coefficient))× [ original eur×annual yield progressive rate×commodity rate× (sales price-production cost-resource tax-water conservancy construction foundation× (1-income tax)) -value added tax-applied (urban construction tax + education fee addition) +single well ground investment-single well pressurization investment) ]×income tax ], and the specific calculation process is shown in fig. 6.
Table 5 Cash flow method for measuring and calculating economic limit EUR value standard of single well
And step S8, calculating the average single well pressure drop degree of the production wells in the class II to be 30% on the basis of the step S1 and the step S2, wherein EUR of the to-be-encrypted wells in the screening step S6 is larger than or equal to 1540 multiplied by 10 4m3, and the pressure drop degree of the to-be-encrypted wells is smaller than 30%.
And S9, removing 13 pseudo-encryption wells with production conditions which are not up to the standard according to the screening result in the step S8, and finally determining 83 vertical wells as encryption wells, wherein the specific well position distribution conditions are shown in the figure 7.
Claims (7)
1. The method for adjusting the encrypted well pattern deployment by the hypotonic tight gas reservoir is characterized by comprising the following steps of:
S1, establishing a gas reservoir geological model according to logging interpretation reports, geological data and the like in the earlier stage of target gas reservoir development, establishing a target gas reservoir numerical model according to production dynamic data such as gas production, water production, oil casing pressure and the like of a current production well of a target block, fitting block reserves, oil casing pressure and yield, and on the basis, predicting single well accumulated gas production EUR and formation pressure in production for 30 years, and determining the distribution condition of residual reserves of the target gas reservoir;
s2, counting the EUR value of a single well of the existing production well according to the numerical simulation result, and dividing the production well into a class I high-yield well, a class II medium-yield well and a class III low-yield well according to normal and abnormal distribution;
S3, analyzing the residual reserve distribution condition of the target block, and optimizing encryption potential areas by combining the reserve abundance, the average effective thickness of the reservoir, the porosity and the permeability, wherein the optimization principle is as follows: based on the step S2, counting all physical parameters of a reservoir where the production well in class II is located, and taking the abundance of the production well in class II, the average effective thickness, the porosity and the permeability weighted by the thickness as the lower limit of the screening of the encryption potential area;
S4, determining the encryption well type and the reasonable well spacing according to physical properties and geological conditions of the reservoir of the potential zone to be encrypted, wherein the step S4 comprises the following sub-steps:
s41, according to reservoir physical properties and geological conditions of the encryption potential area, combining implementation effects of the produced horizontal well and the adjacent vertical well, comparing average daily gas production, EUR and single well investment of the produced well, and demonstrating the adaptability of the vertical well and the horizontal well of the well site to be laid;
S42, performing well spacing rationality evaluation on the target gas reservoir by using an analogy method, an economic limit well spacing, an economic reasonable well spacing and an unstable yield analysis method, wherein the comprehensive evaluation reasonable well spacing is in a well spacing range obtained by the analogy method and is larger than the economic limit well spacing;
wherein, the economic limit well pattern density refers to the well pattern density with the total output equal to the total input, namely the total profit is zero, and the calculation formula is as follows:
Wherein: f min is the economic limit well pattern density, and the open well/km 2;ER is the recovery ratio,%; commodity rate of alpha gas,%; n geological reserves, 10 8m3;Ta gas tax yields, decimal; p is monovalent, meta/m 3; o gas operating costs, yuan/m 3; a gas-containing area, km 2; i, total investment of single well, ten thousand yuan; r loan interest rate, decimal; the evaluation period and year of T; d min economic limit well spacing, m;
adding reasonable profit on the basis of the formula A to obtain an economic and reasonable well pattern density calculation formula, namely:
Wherein: f α is economic and reasonable well pattern density, and well opening/km 2;LR is reasonable profit, yuan/m 3;
S5, in the preferred encryption-planned area in the step S3, the well positions and the well numbers of the encryption wells are preliminarily determined according to the encryption well type and the well distance determined in the step S4;
s6, defining a pseudo-encryption well in the numerical simulation model established in the step S1, simulating the production of the pseudo-encryption well for 30 years, and analyzing the changes of single well EUR, formation pressure and the like of the pseudo-encryption well;
s7, calculating economic limit EUR of a target gas reservoir optimal well type;
S8, screening the EUR of the to-be-encrypted well in the step S6 to be more than or equal to the economic limit EUR, wherein the pressure drop degree of the to-be-encrypted well is smaller than the average single well pressure drop degree of the production well in the class II in the step S2;
and S9, determining the well screened in the step S8 as a final encryption well of the target gas reservoir.
2. The method for adjusting the encrypted well pattern deployment of the hypotonic tight gas reservoir according to claim 1, wherein the method comprises the following steps of: and step S2, counting each single well EUR predicted in the step S1 by adopting the bias distribution and the normal distribution, drawing an EUR probability distribution curve graph, and determining classification boundaries of the class I high-yield well, the class II medium-yield well and the class III low-yield well by using curve inflection points.
3. The method for adjusting the encrypted well pattern deployment of the hypotonic tight gas reservoir according to claim 2, which is characterized in that: in the EUR probability distribution curve graph, a first inflection point value close to an origin is a class III well upper limit and a class II well lower limit, and a second inflection point value is a class II well upper limit and a class I well lower limit.
4. The method for adjusting the encrypted well pattern deployment of the hypotonic tight gas reservoir according to claim 3, wherein the method comprises the following steps of: and selecting a typical representative well of the I-type high-yield well, the II-type medium-yield well and the III-type low-yield well, performing history fitting on the gas production and the oil casing pressure of the typical representative well by adopting a production instability analysis method, determining the control radius of the typical well, and taking twice the control radius as the well distance.
5. The method for adjusting the encrypted well pattern deployment of the hypotonic tight gas reservoir according to claim 4, which is characterized in that: the typical representative wells of the I-type high-yield well, the II-type middle-yield well and the III-type low-yield well are wells with similar average EUR of the I-type high-yield well, the II-type middle-yield well and the III-type low-yield well.
6. The method for adjusting the encrypted well pattern deployment of the hypotonic tight gas reservoir according to claim 5, which is characterized in that: the step S7 includes: the calculation of the economic limit EUR uses the cash flow method: the net cash flow is the difference of the total cash inflow amount minus the total cash outflow amount, and the economic limit accumulated gas yield corresponding to the period when the accumulated cash flow is changed from the negative number of the loss to 0 is the economic limit EUR by comprehensively considering single well drilling, ground investment, pressurized investment, gas price, production cost, stable production period, annual output decreasing rate, commodity rate, various tax rates, education fee addition, water conservancy construction foundation and internal income rate.
7. The method for adjusting the encrypted well pattern deployment of the hypotonic tight gas reservoir according to claim 6, wherein the method comprises the following steps of: the calculation formula D of the cash flow method is as follows: annual cash flow = (current annual discount coefficient/(1 + discount coefficient)) × [ original EUR × annual yield decline rate × commodity rate × (sales price-production cost-resource tax-water conservancy construction foundation × (1-income tax)) -value added tax × (urban construction tax + education fee additional) +single well floor investment-single well boost investment) × income tax ].
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