Quantitative evaluation method for lithologic trap compressed air energy storage bank

Abstract

The invention discloses a lithologic trap compressed air energy storage bank quantitative evaluation method. The evaluation method comprises the steps that S1, the development range of a target sand body on a well is recognized and depicted; s2, evaluating the entrapment energy storage scale according to the plurality of physical property parameter assignments; s3, evaluating the entrapment closure according to the closure capability parameter assignment; s4, performing weight assignment on the plurality of physical property parameters to obtain a trap energy storage scale evaluation index; s5, carrying out weight assignment on the sealing capability parameters to obtain a sealing performance evaluation index; and S6, calculating a comprehensive evaluation parameter according to the trap energy storage scale evaluation index and the closure evaluation index, and carrying out energy storage priority sorting on the trap. And grading and comprehensive evaluation of the compressed air energy storage capacity of the underground deep lithologic trap are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of construction and operation of underground deep space compressed air energy storage reservoirs, and in particular to a quantitative evaluation method for lithologic trap compressed air energy storage reservoirs. Background Art

[0002] Realizing the reuse of deep underground space is a bold exploration and experiment for the transformation and development of old oil fields. There is a large amount of available space deep underground, which is generally divided into cavernous and porous types. Compressed air energy storage Due to the low energy density of compressed air, a large amount of storage space is required to achieve large-scale energy storage. Compressed air energy storage is mostly implemented in cavernous storage spaces, such as abandoned mines and salt caverns. Salt cavern-type compressed air energy storage utilizes the development of abandoned salt caverns or creates cavities in salt caverns for energy storage. It has the advantages of low cost, large volume and high pressure bearing capacity. The compressed porous reservoirs in abandoned mines require support and protection transformation in the cave, and the engineering cost is relatively high. Porous compressed air energy storage reservoirs are divided into two categories: depleted oil and gas field storage reservoirs and aquifer storage reservoirs. Among them, depleted oil and gas field storage reservoirs can only be developed and utilized based on existing depleted oil and gas fields, and the scope is relatively limited; while aquifer storage reservoirs have the advantages of low cost, wide distribution, and can reduce the restrictions of energy storage systems on geological conditions. At present, the evaluation and research of compressed air energy storage reservoirs is still blank. However, the evaluation of compressed air energy storage is very similar to that of gas storage, and the current methods and technologies can be learned from the existing methods and technologies of gas storage evaluation. The evaluation of cavernous gas storage is the most complete.

[0003] Patent CN117273981A uses a combined weighting method to weight the closure, storage capacity and construction conditions based on the burial depth, stability of the caprock distribution, caprock lithology, caprock thickness, breakthrough pressure and other parameters, and establishes a comprehensive scoring method for evaluating salt cavern gas storage. From the perspective of aquifer gas storage evaluation technology, the current evaluation of aquifer gas storage is mainly carried out by evaluating the storage space scale and closure of the reservoir cap conditions and closure conditions, and the evaluation is mainly qualitative.

[0004] Patents related to the evaluation of water-containing gas storage reservoirs mainly focus on the sealing of gas storage reservoirs and establish relevant technologies from different aspects: Patent CN115270536A establishes a method for evaluating sealing from both static and dynamic aspects; Patent CN107975362A evaluates sealing from a spatial perspective through three levels: cover layer, bottom plate and boundary; Patent CN112362475A establishes a method for evaluating sealing from the perspective of different stress backgrounds through different background limit sealing pressures.

[0005] There are few reservoir scale evaluation technologies for water-bearing gas storages. For reservoir scale evaluation, the salt cavern type evaluation method is mostly used. Only a few literature reports point out that the evaluation method of water-bearing gas storages is not consistent with that of salt caverns. However, only five indicators, namely tectonic activity, overlying stratum lithology, exploration maturity, reservoir depth and reservoir volume, are proposed. The same weighting method as salt cavern evaluation is still used, and the correlation between different parameters under the control of geological genesis is not considered (ALM et al., 2018). Overall, the evaluation of water-bearing gas storages still follows the salt cavern type evaluation idea, without considering the geological characteristics of water-bearing gas storages, lacking geological genesis constraints, and the evaluation of water-bearing reservoir space scale and closure are not related to each other. The relationship between reservoir space scale and closure is not considered, and a comprehensive and quantitative evaluation standard has not been formed. It is not advisable to directly use the gas storage evaluation method for energy storage evaluation. Therefore, this method solves the above problems by assigning values ​​to geological parameters that reflect the scale and closure of the reservoir space to achieve quantitative evaluation. Based on the impact of different geological parameters on the scale and closure of the reservoir space, the weight coefficients of different geological parameters are determined, and a quantitative evaluation idea and process for energy storage reservoirs that comprehensively considers the scale and closure of energy storage are established. Summary of the invention

[0006] In view of the above problems, the present invention is proposed to provide a quantitative evaluation method for lithologic-trap compressed air energy storage reservoirs that overcomes the above problems or at least partially solves the above problems.

[0007] According to one aspect of the present invention, a quantitative evaluation method for a lithologic trapped compressed air energy storage reservoir is provided, the evaluation method comprising:

[0008] Step S1: Identify and characterize the development range of the target sand body on the well;

[0009] Step S2: evaluating the size of the trapped energy storage according to the assignment of multiple physical property parameters;

[0010] Step S3: evaluating the closure of the trap according to the closure capacity parameter assignment;

[0011] Step S4: assigning weights to multiple physical property parameters to obtain a closed energy storage scale evaluation index;

[0012] Step S5: weight the closure capability parameters to obtain a closure evaluation index;

[0013] Step S6: Calculate a comprehensive evaluation parameter according to the trap energy storage scale evaluation index and the closure evaluation index, and prioritize the energy storage of the traps.

[0014] Optionally, the step S1: identifying and characterizing the development range of the target sand body on the well specifically includes:

[0015] Use drilling, logging and seismic data to calibrate synthetic seismic records;

[0016] The development range of the target sand body on the well is identified and characterized based on the waveform characteristics.

[0017] Optionally, the step S2: evaluating the scale of trapped energy storage according to the assignment of multiple physical property parameters specifically includes:

[0018] Selecting multiple physical property parameters as parameters for characterizing the physical properties of the lithologic trap;

[0019] And assign values ​​to multiple physical property parameters to evaluate the closed energy storage scale.

[0020] Optionally, the multiple physical property parameters specifically include: closure thickness, area, inclination, and porosity parameters.

[0021] Optionally, the step S3: evaluating the closure of the trap according to the closure capacity parameter assignment specifically includes:

[0022] Selecting multiple sealing capacity parameters as parameters to characterize the sealing capacity of lithologic traps;

[0023] And assign values ​​to multiple closing capacity parameters to evaluate the closing property of the trap.

[0024] Optionally, the multiple sealing capacity parameters specifically include: surrounding rock breakthrough pressure and cap rock thickness.

[0025] Optionally, the step S4: weighting multiple physical property parameters to obtain a trapped energy storage scale evaluation index specifically includes:

[0026] According to the sedimentological principles, the relationship between the sand body scale, thickness, porosity and sand body dip is clarified, and the relationship between the sand body reservoir scale parameters is used as a constraint to determine the weight order of multiple parameters and assign weights to the energy storage scale evaluation parameters in step S2. The weighted average is calculated using the weights and assignments of multiple parameters to evaluate the energy storage scale of the closure.

[0027] Optionally, the step S5: weighting the closure capability parameters to obtain the closure evaluation index specifically includes:

[0028] Based on the relationship between the breakthrough pressure of the cap rock and the thickness of the cap rock, the order of the trap closing parameters is determined;

[0029] The closure capacity parameters in step S3 are weighted and the weighted average congestion is calculated to evaluate the closure of the trap.

[0030] Optionally, the calculating of comprehensive evaluation parameters according to the trap energy storage scale evaluation index and the closure evaluation index, and prioritizing the traps for energy storage specifically includes:

[0031] The trap energy storage scale evaluation index and the closure evaluation index are weighted to obtain comprehensive evaluation parameters, and the traps are prioritized for energy storage.

[0032] Optionally, the step of weighting the trapped energy storage scale evaluation index and the closure evaluation index to obtain comprehensive evaluation parameters specifically includes:

[0033] According to the coupling relationship between energy storage scale and closure, weights are assigned to the energy storage scale evaluation index and the closure evaluation index respectively, and the weighted average of the two is calculated to obtain a comprehensive evaluation parameter.

[0034] The invention provides a quantitative evaluation method for a lithologic trap compressed air energy storage reservoir, the evaluation method comprising: step S1: identifying and characterizing the development range of the target sand body on the well; step S2: evaluating the energy storage scale of the trap according to the assignment of multiple physical property parameters; step S3: evaluating the closure of the trap according to the assignment of the closure capacity parameter; step S4: assigning weights to the multiple physical property parameters to obtain an evaluation index for the energy storage scale of the trap; step S5: assigning weights to the closure capacity parameter to obtain an evaluation index for closure; step S6: calculating a comprehensive evaluation parameter according to the evaluation index for the energy storage scale of the trap and the evaluation index for closure, and prioritizing the energy storage of the traps. The method realizes the hierarchical and comprehensive evaluation of the compressed air energy storage capacity of the deep underground lithologic traps.

[0035] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0037] Figure 1 A flowchart of a quantitative evaluation method for a lithologic-trap compressed air energy storage reservoir provided by an embodiment of the present invention;

[0038] Figure 2 This is a sand body thickness diagram of sand body 4 provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0039] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0040] The terms "comprises" and "having" and any variations thereof in the description embodiments, claims and drawings of the present invention are intended to cover non-exclusive inclusions, for example, including a series of steps or units.

[0041] The technical solution of the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0042] Example 1

[0043] like Figure 1 As shown, the present invention provides a quantitative evaluation method for a lithologic trapped compressed air energy storage reservoir, the evaluation method comprising:

[0044] Step S1: Identify and characterize the development range of the target sand body on the well;

[0045] Step S2: evaluating the size of the trapped energy storage according to the assignment of multiple physical property parameters;

[0046] Step S3: evaluating the closure of the trap according to the closure capacity parameter assignment;

[0047] Step S4: assigning weights to multiple physical property parameters to obtain a closed energy storage scale evaluation index;

[0048] Step S5: weight the closure capability parameters to obtain a closure evaluation index;

[0049] Step S6: Calculate a comprehensive evaluation parameter according to the trap energy storage scale evaluation index and the closure evaluation index, and prioritize the energy storage of the traps.

[0050] The specific detailed steps include:

[0051] ① Use drilling, logging, seismic and other data to calibrate artificial synthetic seismic records, and identify and characterize the development range of the target sand body on the well according to the waveform characteristics;

[0052] ② Select the parameters of trap thickness, area, dip angle and porosity as the parameters to characterize the physical properties of the lithologic trap, and assign values ​​to each parameter to evaluate the energy storage scale of the trap;

[0053] ③ Select the breakthrough pressure of surrounding rock and the thickness of caprock as the parameters to characterize the sealing capacity of lithologic traps, and assign values ​​to each parameter to evaluate the sealing performance of the trap;

[0054] ④ According to the sedimentological principles, the relationship between sand body scale, thickness, porosity and sand body dip is clarified. The weight order of different parameters is determined based on the relationship between sand body reservoir scale parameters and the weights of the energy storage scale evaluation parameters in step ② are assigned. The weighted average is calculated using different parameter weights and assignments to evaluate the energy storage scale of the trap.

[0055] ⑤ Based on the relationship between the breakthrough pressure of the cap rock and the thickness of the cap rock, determine the order of the trap closure parameters and assign weights to the parameters in step ③, and calculate the weighted average crowding to evaluate the trap closure;

[0056] ⑥ According to the coupling relationship between energy storage scale and closure, weights are assigned to the energy storage scale evaluation index and closure evaluation index obtained in steps ④ and ⑤ respectively, and the weighted average of the two is calculated to obtain the comprehensive evaluation parameter. According to the comprehensive evaluation parameter, the closures are ranked for energy storage optimization.

[0057] Example 2

[0058] Step 1: Calibrate the different single well depths to the seismic reflection profile event axis through the calibration of artificial synthetic seismic records of different single wells in the study area. After clarifying the seismic profile event axis depth, determine the oil content of the seismic event axis under the control of the single well according to the single well oil test and logging interpretation data, establish the relationship between the oil and gas layer and the seismic reflection through the correspondence between the seismic reflection axis waveform and the oil content, determine the seismic waveform characteristics corresponding to the target sand body, and then realize the lateral tracking of the target sand body event axis based on the waveform characteristics to generate the target sand body structure map.

[0059] Step 2: Select the trap area, trap thickness, formation dip, and porosity as parameters to characterize the physical properties of the lithologic energy storage trap. Based on step 1, describe the lithologic energy storage trap through seismic interpretation. After mapping, read the trap area and trap amplitude from the plan view, read the formation dip from the cross-section view, and read the porosity parameter from the drilled core test analysis or logging interpretation results. According to Table 1, assign values ​​to the trap area, thickness, dip, and porosity parameters, and the process enters step 3.

[0060] Table 1 Evaluation parameter assignment table

[0061]

[0062] Step 3, select the surrounding rock breakthrough pressure and caprock thickness as parameters to characterize the sealing capacity of the lithologic energy storage trap. The caprock thickness is directly read from the actual drilling logging data. The most direct way to obtain the surrounding rock breakthrough pressure is to measure it through indoor rock mechanics experiments. However, due to the limitations of drilling conditions, in the absence of actual surrounding rock breakthrough pressure data, a simple calculation method for surrounding rock breakthrough pressure such as the clay mineral content method is used. The breakthrough pressure and caprock thickness parameters are assigned according to Table 2.

[0063] Table 2 Evaluation parameter weight table

[0064]

[0065] Step 4: According to sedimentological principles, the size of the sand body is controlled by the intensity of the source supply and is related to the area ( ) and thickness ( ) In terms of the two parameters, sand body area and thickness are the same order parameters. Sand body size affects porosity ( ) size and inclination ( ), the larger the sand body, the greater the porosity; the sand body scale is negatively correlated with the dip angle, the larger the sand body scale, the smaller the dip angle. Based on the above geological laws, the area reflecting the original scale of the sand body ( ) and thickness ( ) parameter is considered as the first weight order, and the porosity ( ) is considered as the second weight level, the inclination ( ) is considered as the third weight order. The average weight of the four parameters is 0.25, and the first order parameter area ( ) and thickness ( ) weight is higher than the average weight and is taken as 0.3. The second-order parameter porosity ( ) is equal to the weight average of 0.25, the third-order parameter inclination ( ) is lower than the average weight and takes 0.15. Taking the weight parameter as the constraint, the weighted average of all parameters is calculated as the evaluation parameter of energy storage scale ( ), the calculation formula is as follows:

[0066]

[0067] In step 5, the sealing capacity of the cap layer is composed of the breakthrough pressure at the bottom of the cap layer and the adsorption resistance of the cap layer pores. The adsorption resistance of the cap layer is controlled by the thickness of the cap layer. The thicker the cap layer, the stronger the adsorption resistance. When the breakthrough pressure of the cap layer is <155Mpa, the sealing capacity of the bottom of the cap layer is limited, and a larger cap layer thickness is required to increase the adsorption resistance of the cap layer to seal the gas in the trap; when the breakthrough pressure of the cap layer is >155Mpa, it does not require too strong adsorption resistance of the cap layer to seal the gas in the trap, and the cap layer does not need too much thickness to effectively seal the gas in the trap. Therefore, it can be seen that the thickness of the cap layer has a compensatory effect on the breakthrough pressure of the cap layer. The breakthrough pressure of the cap layer can be set as the first weight level, and the thickness of the cap layer can be set as the second weight level. In the sealing evaluation, there is the breakthrough pressure of the cap layer ( ) and caprock thickness ( ) two parameters, the weight average is 0.5, the first weight order parameter breakthrough pressure weight is higher than the average value and is taken as 0.6, the second weight order parameter cap rock thickness weight is lower than the average value and is taken as 0.4. Taking the weight parameter as a constraint, the weighted average of breakthrough pressure and cap rock thickness is calculated as the evaluation parameter of sealing ( ):

[0068]

[0069] In step 6, according to the accumulation law, when a small trap is to have a certain scale of oil and gas, the reservoir needs to have a larger filling degree and the required closure of the trap is strong; when the trap scale is large, the reservoir filling degree is slightly reduced and there will still be a large scale of oil and gas, and the closure requirement of the trap can be reduced. Compressed air energy storage is similar to the accumulation law of oil and gas. There is a compensatory relationship between the energy storage scale and closure of the trap. When the energy storage scale is small, the closure weight should be increased, and when the energy storage scale is large, the closure weight can be reduced.

[0070] Therefore, the ratio of the energy storage scale evaluation parameter to the closedness evaluation parameter can be used as the weight ratio of the two. The energy storage scale evaluation parameter weight ( ) and the weight of the closure evaluation parameter ( ) can be calculated as follows:

[0071]

[0072]

[0073] Comprehensive evaluation parameters ( ) is calculated as follows:

[0074]

[0075] See Table 3 for details on the scale and closure evaluation of trapped energy storage;

[0076] Table 3 Trapped energy storage scale and closure evaluation table

[0077]

[0078] According to the parameters, multiple lithologic traps are ranked, that is, evaluated and selected (Table 4). Figure 2 As shown, the sand body thickness map of sand body 4.

[0079] Table 4 Ranking of trap comprehensive evaluation

[0080]

[0081] Beneficial effects: This method provides a comprehensive evaluation of compressed air energy storage based on geological causes, filling the gap in the field of compressed air energy storage capacity evaluation. Compared with similar gas storage evaluation systems, this method establishes energy storage scale and closure evaluation parameters based on the genetic relationship between basic geological parameters, and on this basis, forms a comprehensive evaluation parameter of energy storage capacity based on the compensation relationship between storage capacity and closure, realizing the hierarchical and comprehensive evaluation of compressed air energy storage capacity of deep underground lithologic traps.

[0082] The above specific implementation methods further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above are only specific implementation methods of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A quantitative evaluation method for lithologic trapped compressed air energy storage reservoirs, characterized in that: The evaluation method includes: Step S1: Identify and characterize the development range of the target sand body on the well; Step S2: evaluating the size of the trapped energy storage according to the assignment of multiple physical property parameters; Step S3: evaluating the closure of the trap according to the closure capacity parameter assignment; Step S4: assigning weights to multiple physical property parameters to obtain a closed energy storage scale evaluation index; Step S5: weight the closure capability parameters to obtain a closure evaluation index; Step S6: Calculate a comprehensive evaluation parameter according to the trap energy storage scale evaluation index and the closure evaluation index, and prioritize the energy storage of the traps.

2. A quantitative evaluation method for lithologic trapped compressed air energy storage according to claim 1, characterized in that: The step S1: identifying and characterizing the development range of the target sand body on the well specifically includes: Use drilling, logging and seismic data to calibrate synthetic seismic records; The development range of the target sand body on the well is identified and characterized based on the waveform characteristics.

3. A quantitative evaluation method for lithologic trapped compressed air energy storage according to claim 1, characterized in that: The step S2: evaluating the scale of the trapped energy storage according to the assignment of multiple physical property parameters specifically includes: Selecting multiple physical property parameters as parameters for characterizing the physical properties of the lithologic trap; And assign values ​​to multiple physical property parameters to evaluate the closed energy storage scale.

4. A quantitative evaluation method for lithologic trapped compressed air energy storage according to claim 3, characterized in that: The multiple physical property parameters specifically include: trap thickness, area, dip angle, and porosity parameters.

5. The quantitative evaluation method for lithologic trapped compressed air energy storage according to claim 1, characterized in that: The step S3: evaluating the closure of the trap according to the closure capacity parameter assignment specifically includes: Selecting multiple sealing capacity parameters as parameters to characterize the sealing capacity of lithologic traps; And assign values ​​to multiple closing capacity parameters to evaluate the closing property of the trap.

6. A quantitative evaluation method for lithologic trapped compressed air energy storage according to claim 5, characterized in that: The multiple sealing capacity parameters specifically include: surrounding rock breakthrough pressure and cap rock thickness.

7. A quantitative evaluation method for lithologic trapped compressed air energy storage according to claim 1, characterized in that: The step S4: weighting multiple physical property parameters to obtain a trapped energy storage scale evaluation index specifically includes: According to the sedimentological principles, the relationship between the sand body scale, thickness, porosity and sand body dip is clarified, and the relationship between the sand body reservoir scale parameters is used as a constraint to determine the weight order of multiple parameters and assign weights to the energy storage scale evaluation parameters in step S2. The weighted average is calculated using the weights and assignments of multiple parameters to evaluate the energy storage scale of the closure.

8. The quantitative evaluation method for lithologic trapped compressed air energy storage according to claim 1, characterized in that: The step S5: weighting the closure capability parameters to obtain the closure evaluation index specifically includes: Based on the relationship between the breakthrough pressure of the cap rock and the thickness of the cap rock, the order of the trap closing parameters is determined; The closure capacity parameters in step S3 are weighted and the weighted average congestion is calculated to evaluate the closure of the trap.

9. A quantitative evaluation method for lithologic trapped compressed air energy storage according to claim 1, characterized in that: The step of calculating the comprehensive evaluation parameter according to the trap energy storage scale evaluation index and the closure evaluation index, and prioritizing the traps for energy storage specifically includes: The trap energy storage scale evaluation index and the closure evaluation index are weighted to obtain comprehensive evaluation parameters, and the traps are prioritized for energy storage.

10. A quantitative evaluation method for lithologic trapped compressed air energy storage according to claim 9, characterized in that: The weighting of the trapped energy storage scale evaluation index and the closure evaluation index to obtain comprehensive evaluation parameters specifically includes: According to the coupling relationship between energy storage scale and closure, weights are assigned to the energy storage scale evaluation index and the closure evaluation index respectively, and the weighted average of the two is calculated to obtain a comprehensive evaluation parameter.

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