Oil and gas well seam wall compaction experiment evaluation method and device and compaction experiment system

Abstract

The invention provides an oil and gas well seam wall compaction experiment evaluation method and device and a compaction experiment system, and solves the problems that at present, quantitative evaluation means for seam wall compaction are lacked, and quantitative comparison is difficult to carry out. The method comprises the following steps: acquiring a first nuclear magnetic resonance T2 map of a rock core before a compaction experiment and a second nuclear magnetic resonance T2 map of the rock core after the compaction experiment; obtaining a first radius of each core pore throat before the compaction test based on the first T2 map, and obtaining a first sorting coefficient of the pore throats before the compaction test based on the first radiuses; obtaining a second radius of each core pore throat after the compaction test based on the second T2 map, and obtaining a second separation coefficient of the pore throat after the compaction test based on the second radius; based on the first sorting coefficient and the second sorting coefficient, obtaining an influence degree coefficient of the compaction experiment on the core pore throat; and carrying out continental facies shale oil-gas well seam wall compaction experiment evaluation based on the influence degree coefficient of the compaction experiment on the core pore throat.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas field development, and particularly relates to a method and device for evaluating the compaction of the fracture wall of an oil and gas well, and a compaction experiment system. Background Art

[0002] China is rich in continental shale oil and gas resources, which are important strategic replacement resources after marine shale gas and are of great significance to ensuring national energy security. Due to the different sedimentary environments of continental shale, compared with the relatively stable sedimentary environment of marine shale, the sedimentary process of continental shale is more turbulent, resulting in the development of different lithologic interlayers during the sedimentation process of continental shale. The lithology and physical properties are highly heterogeneous, and the clay mineral content is very high, which poses great challenges to fracturing construction. In China, many pilot tests have been carried out successively in the field of volume transformation of continental shale, but the post-fracture effects vary greatly. In some cases, the volume fracturing construction is relatively successful, but the post-fracture production is low, and the oil and gas production decreases rapidly. The reason is that in some blocks, the clay mineral content of continental shale exceeds 60%, which causes great damage to the formation during the construction process. On the one hand, the clay minerals swell when they encounter water, and the clay minerals disperse and migrate, blocking the pore throats of the reservoir. On the other hand, the high clay mineral content results in high plasticity of the formation rock. Under the action of high fracturing construction pressure (greater than 80 MPa), the large net pressure in the fracture will strongly squeeze the hydraulic fracture wall surface, resulting in significant matrix compaction of the fracture wall surface, which is equivalent to creating a "barrier wall" on the fracture wall surface, preventing the oil and gas at a relatively far distance from the fracture wall surface from flowing into the fracture, thus affecting the oil and gas production effect. At present, there is still a lack of quantitative evaluation means for fracture wall compaction. Especially for continental shale in different blocks, there is still no unified evaluation method for how much impact the compaction has, making it difficult to conduct quantitative comparison and resulting in a lack of pertinence in the fracturing process of continental shale. Summary of the Invention

[0003] In view of this, an embodiment of the present invention provides a method and device for evaluating the compaction of the fracture wall of an oil and gas well, and a compaction experiment system, which solve the problem that there is still a lack of quantitative evaluation means for fracture wall compaction at present and it is difficult to conduct quantitative comparison.

[0004] In a first aspect, a method for evaluating the compaction of the fracture wall of an oil and gas well provided by an embodiment of the present invention includes:

[0005] Obtaining a first nuclear magnetic resonance T2 spectrum of the core before the compaction experiment and a second nuclear magnetic resonance T2 spectrum of the core after the compaction experiment;

[0006] Based on the first T2 spectrum, obtaining the first radius of each pore throat of the core before the compaction experiment, and based on the first radius, obtaining the first sorting coefficient of the pore throats before the compaction test;

[0007] Obtain the second radius of each core pore throat after the compaction experiment based on the second T2 map, and obtain the second sorting coefficient of the pore throat after the compaction experiment based on the second radius;

[0008] Obtain the influence degree coefficient of the compaction experiment on the core pore throat based on the first sorting coefficient and the second sorting coefficient;

[0009] Evaluate the compaction experiment of the fracture wall of continental shale oil and gas wells based on the influence degree coefficient of the compaction experiment on the core pore throat.

[0010] In one embodiment, the obtaining the first radius of each core pore throat before the compaction experiment based on the first T2 map includes:

[0011] Obtain the first T2 relaxation spectrum based on the first T2 map;

[0012] Obtain the distribution of liquids in pore throats of different sizes before the compaction experiment based on the first T2 relaxation spectrum;

[0013] Obtain the first radius of each core pore throat before the compaction experiment based on the distribution of liquids in pore throats of different sizes before the compaction experiment.

[0014] In one embodiment, the obtaining the first sorting coefficient of the pore throat before the compaction experiment based on the first radius includes:

[0015] Classify the pore throats of different sizes before the compaction experiment based on the first radius of each core pore throat before the compaction experiment;

[0016] For the classified pore throats, obtain the proportion of each type of pore throat before the compaction experiment based on the nuclear magnetic resonance T2 curve before the compaction experiment;

[0017] Obtain the first sorting coefficient of the pore throat before the compaction experiment based on the proportion of each type of pore throat before the compaction experiment.

[0018] In one embodiment, the obtaining the second radius of each core pore throat after the compaction experiment based on the second T2 map includes:

[0019] Obtain the second T2 relaxation spectrum based on the second T2 map;

[0020] Obtain the distribution of liquids in pore throats of different sizes after the compaction experiment based on the second T2 relaxation spectrum;

[0021] Obtain the second radius of each core pore throat after the compaction experiment based on the distribution of liquids in pore throats of different sizes after the compaction experiment.

[0022] In one embodiment, the obtaining the second sorting coefficient of the pore throat after the compaction experiment based on the second radius includes:

[0023] Classify the pore throats of different sizes after the compaction experiment based on the second radius of each core pore throat after the compaction experiment;

[0024] For the classified pore throats, obtain the proportion of each type of pore throat after the compaction experiment based on the nuclear magnetic resonance T2 curve after the compaction experiment;

[0025] Obtain the second sorting coefficient of the pore throats after the compaction test based on the proportion of each type of pore throat after the compaction experiment.

[0026] In one embodiment, it includes: obtaining the first sorting coefficient of the pore throats based on the pore throat radii corresponding to the first preset percentage and the second preset percentage of the cumulative frequency before the compaction experiment; and / or

[0027] Obtain the second sorting coefficient of the pore throats based on the pore throat radii corresponding to the first preset percentage and the second preset percentage of the cumulative frequency after the compaction experiment.

[0028] In one embodiment, it further includes:

[0029] During the experiment, obtain the nuclear magnetic resonance T2 curve of the core in real time;

[0030] Based on the nuclear magnetic resonance T2 curve of the core obtained in real time, utilize the relaxation time difference of water molecules in different pores and the positive correlation between the water molecular weight and the relaxation amplitude signal to establish the characteristics of the internal fluid distribution in the pores, so as to simulate the migration and diffusion of liquids in the core.

[0031] In a second aspect, an evaluation device for the compaction experiment of the fracture wall of an oil and gas well provided by an embodiment of the present invention includes:

[0032] A T2 map acquisition module for acquiring the first nuclear magnetic resonance T2 map of the core before the compaction experiment and the second nuclear magnetic resonance T2 map of the core after the compaction experiment;

[0033] A data processing module for obtaining the first radius of each core pore throat before the compaction experiment based on the first T2 map, and obtaining the first sorting coefficient of the pore throats before the compaction test based on the first radius; obtaining the second radius of each core pore throat after the compaction experiment based on the second T2 map, and obtaining the second sorting coefficient of the pore throats after the compaction test based on the second radius; obtaining the influence degree coefficient of the compaction experiment on the core pore throats based on the first sorting coefficient and the second sorting coefficient;

[0034] An experiment evaluation module for evaluating the compaction experiment of the fracture wall of a continental shale oil and gas well based on the influence degree coefficient of the compaction experiment on the core pore throats.

[0035] In a third aspect, an experimental system for compacting the fracture wall of an oil and gas well provided by an embodiment of the present invention is used to implement the above-mentioned experiment on compacting the fracture wall of a continental shale oil and gas well, and includes: a metering pump, a core holder, a liquid collection device, and a data acquisition device; the liquid inlet end of the core holder is connected to the metering pump, the liquid outlet end of the core holder is connected to the liquid collection device, and the data acquisition device is connected; the compaction experimental system further includes an annular pressure tracking pump and a nuclear magnetic resonance measurement device; wherein the annular pressure tracking pump is connected to the core holder; the core holder is placed inside the nuclear magnetic resonance measurement device.

[0036] In a fourth aspect, an electronic device provided by an embodiment of the present invention includes a memory and a processor, and the memory is used to store one or more computer instructions. Among them, when the one or more computer instructions are executed by the processor, the above-mentioned evaluation method for compacting the fracture wall of an oil and gas well is realized.

[0037] In a fifth aspect, a computer-readable storage medium provided by an embodiment of the present invention stores a computer program, and when the computer program is executed by a processor, it is used to realize the above-mentioned evaluation method for compacting the fracture wall of an oil and gas well.

[0038] An evaluation method and device for compacting the fracture wall of an oil and gas well and a compaction experimental system provided by an embodiment of the present invention establish an evaluation method for compacting the fracture wall of continental shale. By simulating the real working conditions of the fracture wall surface during the fracturing construction process and conducting nuclear magnetic resonance scanning of the core at different times, it is possible to judge the change of the pore throat structure in the fracture wall surface area in the fracturing environment, solve various problems such as the lack of theoretical guidance in the current continental shale oil and gas fracturing process, and effectively improve the fracturing transformation effect of continental shale oil and gas reservoirs. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 The figure shows a schematic flow chart of an evaluation method for compacting the fracture wall of an oil and gas well provided by an embodiment of the present invention.

[0040] Figure 2 The figure shows a schematic flow chart of an evaluation device for compacting the fracture wall of an oil and gas well provided by an embodiment of the present invention.

[0041] Figure 3 The figure shows a schematic structural diagram of a compaction experimental test system provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0043] Example 1:

[0044] Figure 1 The following is a schematic flow chart of a method for evaluating the compaction of the fracture wall in an oil and gas well provided by an embodiment of the present invention.

[0045] An embodiment provides a method for evaluating the compaction of the fracture wall in an oil and gas well. As Figure 1 shown, the method for evaluating the compaction of the fracture wall in an oil and gas well includes:

[0046] Step 01: Obtain the first nuclear magnetic resonance T2 spectrum of the core before the compaction experiment and the second nuclear magnetic resonance T2 spectrum of the core after the compaction experiment. The nuclear magnetic resonance equipment in the test system can measure the core before and after the experiment to obtain the first nuclear magnetic resonance T2 spectrum and the second nuclear magnetic resonance T2 spectrum.

[0047] Step 02: Obtain the first radius of each core pore throat before the compaction experiment based on the first T2 spectrum, and obtain the first sorting coefficient of the pore throats before the compaction test based on the first radius.

[0048] Specifically, the obtaining of the first radius of each core pore throat before the compaction experiment based on the first T2 spectrum includes:

[0049] Step 021: Obtain the first T2 relaxation spectrum based on the first T2 spectrum;

[0050] Step 022: Obtain the distribution of liquids in pore throats of different sizes before the compaction experiment based on the first T2 relaxation spectrum;

[0051] Step 023: Obtain the first radius of each core pore throat before the compaction experiment based on the distribution of liquids in pore throats of different sizes before the compaction experiment.

[0052] In addition, the obtaining of the first sorting coefficient of the pore throats before the compaction test based on the first radius includes:

[0053] Step 025: Classify the pore throats of different sizes before the compaction experiment based on the first radius of each core pore throat before the compaction experiment;

[0054] Step 026: For the classified pore throats, obtain the proportion of each type of pore throat before the compaction experiment based on the nuclear magnetic resonance T2 curve before the compaction experiment.

[0055] Step 027: Obtain the first sorting coefficient of the pore throats before the compaction test based on the proportion of various types of pore throats before the compaction test.

[0056] Step 03: Obtain the second radius of the pore throats of each core after the compaction test based on the second T2 map, and obtain the second sorting coefficient of the pore throats after the compaction test based on the second radius.

[0057] Specifically, the obtaining of the second radius of the pore throats of each core after the compaction test based on the second T2 map includes:

[0058] Step 031: Obtain the second T2 relaxation spectrum based on the second T2 map;

[0059] Step 032: Obtain the distribution of the liquid in the pore throats of different sizes after the compaction test based on the second T2 relaxation spectrum;

[0060] Step 033: Obtain the second radius of the pore throats of each core after the compaction test based on the distribution of the liquid in the pore throats of different sizes after the compaction test.

[0061] In addition, the obtaining of the second sorting coefficient of the pore throats after the compaction test based on the second radius includes:

[0062] Step 034: Classify the pore throats of different sizes after the compaction test based on the second radius of the pore throats of each core after the compaction test;

[0063] Step 035: For the classified pore throats, obtain the proportion of each type of pore throat after the compaction test based on the nuclear magnetic resonance T2 curve after the compaction test;

[0064] Step 036: Obtain the second sorting coefficient of the pore throats after the compaction test based on the proportion of each type of pore throat after the compaction test.

[0065] In one embodiment, obtain the change of the relaxation spectrum according to the nuclear magnetic resonance T2 map, establish a relational expression, clarify the distribution of the liquid in the pore throats of different scales, and obtain the radius of the pore throats of each core based on the distribution of the liquid in the pore throats to quantitatively evaluate the change of the pore throats of the core. Among them, the formula for obtaining the pore throat radius is:

[0066]

[0067] Among them, r is the pore throat radius; T2 is the fluid relaxation time; n is the power rate; N is the conversion coefficient; optionally, n is 0.8 and N is 21.6.

[0068] The pore throats are classified into different levels according to the pore throat radius. Optionally, the pore throats can be classified into: nano-scale pores (<0.1μm), sub-micron scale pores (0.1 - 1μm), and micron-scale pores (>1μm) according to the pore throat radius. Then, the liquid conditions in different scale spaces are analyzed respectively, and the proportion of pores of various levels is calculated using the nuclear magnetic resonance T2 curve.

[0069] The pore throat radius of the core before and after the compaction experiment can be calculated according to the above formula, and the pore throats are classified into different levels according to the pore throat radius.

[0070] Step 04: Obtain the influence degree coefficient of the compaction experiment on the core pore throats based on the first sorting coefficient and the second sorting coefficient.

[0071] Based on the pore throat radius corresponding to the first preset percentage and the second preset percentage of the cumulative frequency before the compaction experiment, obtain the first sorting coefficient of the pore throats; and / or

[0072] Based on the pore throat radius corresponding to the first preset percentage and the second preset percentage of the cumulative frequency after the compaction experiment, obtain the second sorting coefficient of the pore throats.

[0073] Specifically, according to the classification of the core pore throat radius before and after the compaction experiment, obtain the cumulative frequency before the compaction experiment and the cumulative frequency after the compaction experiment.

[0074] Through the comparative analysis of different pore throats before and after the experiment, the influence degree of the compaction effect on the core pore throats can be quantitatively evaluated, and it can be specifically characterized by the following formula:

[0075]

[0076] In the formula, R is the influence degree coefficient of the compaction experiment on the core pore throats; A0 is the first sorting coefficient of the pore throats before the compaction test; A1 is the second sorting coefficient of the pore throats after the compaction test.

[0077] Among them, the first sorting coefficient before compaction is:

[0078] A0 = d 25，0 / d 75，0 ;(3)

[0079] Among them, d 25,0 is the pore throat diameter corresponding to the cumulative frequency of 25% before compaction; d 75,0 is the pore throat diameter corresponding to the cumulative frequency of 75% before compaction.

[0080] The second sorting coefficient after compaction is:

[0081] A1 = d 25，1 / d 75，1 ;(3)

[0082] Among them, d 25,1 is the pore throat diameter corresponding to the cumulative frequency of 25% after compaction; d 75,1 is the pore throat diameter corresponding to the cumulative frequency of 75% after compaction.

[0083] Step 05: Based on the influence degree coefficient of the compaction experiment on the core pore throat, conduct an evaluation of the fracture wall compaction experiment for continental shale oil and gas wells.

[0084] In addition to the above steps, the evaluation method for the fracture wall compaction experiment of the oil and gas well also includes:

[0085] Step 06: During the experiment, obtain the nuclear magnetic resonance T2 curve of the core in real time;

[0086] Step 07: Based on the nuclear magnetic resonance T2 curve of the core obtained in real time, obtain the change of the T2 relaxation spectrum through the nuclear magnetic resonance T2 curve, and use the relaxation time difference of water molecules in different pores and the positive correlation between the water molecular weight and the relaxation amplitude signal to establish the characteristics of the fluid distribution inside the pores, so as to simulate the migration and diffusion of liquid in the core.

[0087] In this embodiment, the evaluation method for the fracture wall compaction experiment of the oil and gas well establishes an evaluation method for the fracture wall compaction experiment of continental shale. By simulating the real working conditions of the fracture wall surface during the fracturing construction process and conducting nuclear magnetic resonance scanning of the core at different times, it can judge the change of the pore throat structure in the fracture wall surface area in the fracturing environment, solve various problems such as the lack of theoretical guidance in the current continental shale oil and gas fracturing process, and can effectively improve the fracturing transformation effect of continental shale oil and gas reservoirs.

[0088] Example 2:

[0089] Figure 2 The figure shows a schematic flow chart of an evaluation device for the fracture wall compaction experiment of an oil and gas well provided by an embodiment of the present invention.

[0090] This embodiment provides an evaluation device 100 for the fracture wall compaction experiment of an oil and gas well. As Figure 2 shown, the evaluation device 100 for the fracture wall compaction experiment of the oil and gas well includes a T2 map acquisition module 10, a data processing module 20, and an experimental evaluation module 30. Among them:

[0091] The T2 map acquisition module 10 is used to obtain the first nuclear magnetic resonance T2 map of the core before the compaction experiment and the second nuclear magnetic resonance T2 map of the core after the compaction experiment;

[0092] The data processing module 20 is configured to obtain the first radius of each core pore throat before the compaction experiment based on the first T2 spectrum, and obtain the first sorting coefficient of the pore throats before the compaction experiment based on the first radius; obtain the second radius of each core pore throat after the compaction experiment based on the second T2 spectrum, and obtain the second sorting coefficient of the pore throats after the compaction experiment based on the second radius; obtain the influence degree coefficient of the compaction experiment on the core pore throats based on the first sorting coefficient and the second sorting coefficient.

[0093] The experimental evaluation module 30 is configured to perform an evaluation of the fracture wall compaction experiment of a continental shale oil and gas well based on the influence degree coefficient of the compaction experiment on the core pore throats.

[0094] Specifically, the data processing module 20 is further configured to obtain the first T2 relaxation spectrum based on the first T2 spectrum; obtain the distribution of liquids in pore throats of different sizes before the compaction experiment based on the first T2 relaxation spectrum; obtain the first radius of each core pore throat before the compaction experiment based on the distribution of liquids in pore throats of different sizes before the compaction experiment. Classify the pore throats of different sizes before the compaction experiment based on the first radius of each core pore throat before the compaction experiment; for the classified pore throats, obtain the proportion of each type of pore throat before the compaction experiment based on the nuclear magnetic resonance T2 curve before the compaction experiment; obtain the first sorting coefficient of the pore throats before the compaction experiment based on the proportion of each type of pore throat before the compaction experiment.

[0095] Specifically, the data processing module 20 is further configured to obtain the second T2 relaxation spectrum based on the second T2 spectrum; obtain the distribution of liquids in pore throats of different sizes after the compaction experiment based on the second T2 relaxation spectrum; obtain the second radius of each core pore throat after the compaction experiment based on the distribution of liquids in pore throats of different sizes after the compaction experiment. Classify the pore throats of different sizes after the compaction experiment based on the second radius of each core pore throat after the compaction experiment; for the classified pore throats, obtain the proportion of each type of pore throat after the compaction experiment based on the nuclear magnetic resonance T2 curve after the compaction experiment; obtain the second sorting coefficient of the pore throats after the compaction experiment based on the proportion of each type of pore throat after the compaction experiment.

[0096] Specifically, the data processing module 20 is further configured to obtain the first sorting coefficient of the pore throats based on the pore throat radii corresponding to the first preset percentage and the second preset percentage of the cumulative frequency before the compaction experiment; and / or obtain the second sorting coefficient of the pore throats based on the pore throat radii corresponding to the first preset percentage and the second preset percentage of the cumulative frequency after the compaction experiment.

[0097] Specifically, the T2 spectrum acquisition module 10 is further configured to acquire the nuclear magnetic resonance T2 curve of the core in real time during the experiment. The oil and gas well fracture wall compaction experiment evaluation device further includes a simulation module 40. The simulation module 40 is further configured to establish the characteristics of the fluid distribution inside the pores based on the nuclear magnetic resonance T2 curve of the core acquired in real time, and utilize the relaxation time difference of water molecules in different pores and the positive correlation between the water molecular weight and the relaxation amplitude signal to simulate the migration and diffusion of the liquid in the core.

[0098] An oil and gas well fracture wall compaction experiment evaluation device provided by an embodiment of the present invention can simulate the real working conditions of the fracture wall surface during the fracturing construction process, and conduct nuclear magnetic resonance scanning of the core at different times, so as to judge the change of the pore throat structure in the fracture wall surface area in the fracturing environment, solve various problems such as the lack of theoretical guidance in the current continental shale oil and gas fracturing process, and can effectively improve the fracturing transformation effect of continental shale oil and gas reservoirs.

[0099] Example 3:

[0100] Figure 3 The figure shows a structural schematic diagram of a compaction experiment test system provided by an embodiment of the present invention.

[0101] This embodiment provides an oil and gas well fracture wall compaction experiment system, as Figure 3 shown, for implementing the above-mentioned continental shale oil and gas well fracture wall compaction experiment, including: a positive displacement pump 1, a core holder 9, a liquid collection device 7, and a data acquisition device 6; the liquid inlet end of the core holder 9 is connected to the positive displacement pump 1, the liquid outlet end of the core holder 9 is connected to the liquid collection device 7, and the data acquisition device 6 is connected; the compaction experiment system further includes an annular pressure tracking pump 4 and a nuclear magnetic resonance measurement device 5; wherein the annular pressure tracking pump 4 is connected to the core holder 9; the core holder 9 is placed inside the nuclear magnetic resonance measurement device 5.

[0102] In addition, the oil and gas well fracture wall compaction experiment system further includes an intermediate container 3 and a liquid collection container 7. The intermediate container 3 is arranged between the positive displacement pump 1 and the core holder 9; the liquid collection container 7 is connected to the liquid outlet end of the core holder 9 and the data acquisition device 6.

[0103] During the oil and gas well fracture wall compaction experiment, placing the oil and gas well fracture wall compaction experiment system in an oven environment can simulate the real formation temperature. To ensure the formation high-pressure environment, a constant pressure pump and a reflux valve are used for control. Among them, the continuous pressurization through the core holder 9 simulates the formation confining pressure on the core; clear water is introduced into the core end face at the liquid inlet end of the core holder 9 to simulate the hydraulic fracture wall surface, and the continuous pressurization on the core end face at the liquid inlet end simulates the compaction effect on the fracture wall surface during the hydraulic fracturing process. Optionally, the temperature of the oven is set at 95 °C, the continuous pressurization through the core holder 9 is 40 MPa to simulate the formation confining pressure on the core, and the displacement pressure of the core end face at the liquid inlet end of the core holder 9 is set at 35 MPa.

[0104] Example 4:

[0105] This embodiment provides an electronic device, which can be a mobile phone, a computer, a tablet computer, etc. It includes a memory and a processor. A computer program is stored on the memory, and when the computer program is executed by the processor, it implements the oil and gas well fracture wall compaction experiment evaluation method described in Embodiment 1. It can be understood that the electronic device may further include an input / output (I / O) interface and a communication component.

[0106] Among them, the processor is used to execute all or part of the steps in the oil and gas well fracture wall compaction experiment evaluation method in Embodiment 1. The memory is used to store various types of data, which may include, for example, instructions of any application program or method in the electronic device, as well as data related to the application program.

[0107] The processor can be implemented by an application specific integrated circuit (ASIC), a digital signal processor (DSP), a programmable logic device (PLD), a field programmable gate array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components, and is used to execute the oil and gas well fracture wall compaction experiment evaluation method in Embodiment 1 above.

[0108] The oil and gas well fracture wall compaction experiment evaluation method includes:

[0109] Step 01: Obtain the first nuclear magnetic resonance T2 spectrum of the core before the compaction experiment and the second nuclear magnetic resonance T2 spectrum of the core after the compaction experiment. The nuclear magnetic resonance device in the test system can measure the core before and after the experiment to obtain the first nuclear magnetic resonance T2 spectrum and the second nuclear magnetic resonance T2 spectrum.

[0110] Step 02: Obtain the first radius of each core pore throat before the compaction experiment based on the first T2 map, and obtain the first sorting coefficient of the pore throats before the compaction experiment based on the first radius.

[0111] Specifically, the obtaining of the first radius of each core pore throat before the compaction experiment based on the first T2 map includes:

[0112] Step 021: Obtain the first T2 relaxation spectrum based on the first T2 map;

[0113] Step 022: Obtain the distribution of liquids in pore throats of different sizes before the compaction experiment based on the first T2 relaxation spectrum;

[0114] Step 023: Obtain the first radius of each core pore throat before the compaction experiment based on the distribution of liquids in pore throats of different sizes before the compaction experiment.

[0115] In addition, the obtaining of the first sorting coefficient of the pore throats before the compaction experiment based on the first radius includes:

[0116] Step 025: Classify the pore throats of different sizes before the compaction experiment based on the first radius of each core pore throat before the compaction experiment;

[0117] Step 026: For the classified pore throats, obtain the proportion of each type of pore throat before the compaction experiment based on the nuclear magnetic resonance T2 curve before the compaction experiment;

[0118] Step 027: Obtain the first sorting coefficient of the pore throats before the compaction experiment based on the proportion of each type of pore throat before the compaction experiment.

[0119] Step 03: Obtain the second radius of each core pore throat after the compaction experiment based on the second T2 map, and obtain the second sorting coefficient of the pore throats after the compaction experiment based on the second radius.

[0120] Specifically, the obtaining of the second radius of each core pore throat after the compaction experiment based on the second T2 map includes:

[0121] Step 031: Obtain the second T2 relaxation spectrum based on the second T2 map;

[0122] Step 032: Obtain the distribution of liquids in pore throats of different sizes after the compaction experiment based on the second T2 relaxation spectrum;

[0123] Step 033: Obtain the second radius of each core pore throat after the compaction experiment based on the distribution of liquids in pore throats of different sizes after the compaction experiment.

[0124] In addition, the obtaining of the second sorting coefficient of the pore throats after the compaction experiment based on the second radius includes:

[0125] Step 034: Classify the pore throats of different sizes after the compaction experiment based on the second radius of each core pore throat after the compaction experiment;

[0126] Step 035: For the classified pore throats, obtain the proportion of each type of pore throat after the compaction experiment based on the nuclear magnetic resonance T2 curve after the compaction experiment;

[0127] Step 036: Obtain the second sorting coefficient of the pore throats after the compaction test based on the proportion of each type of pore throat after the compaction experiment.

[0128] In one embodiment, the change of the relaxation spectrum is obtained according to the nuclear magnetic resonance T2 map, a relational expression is established, the distribution of the liquid in the pore throats of different scales is clarified, and the radius of each core pore throat is obtained based on the distribution of the liquid in the pore throats to quantitatively evaluate the change of the core pore throats. Among them, the formula for obtaining the pore throat radius is:

[0129]

[0130] Among them, r is the pore throat radius; T2 is the fluid relaxation time; n is the power rate; N is the conversion coefficient; optionally, n is 0.8 and N is 21.6.

[0131] The pore throats are divided into different levels according to the pore throat radius. Optionally, the pore throats can be divided into: nano-scale pores (<0.1 μm), sub-micron-scale pores (0.1 - 1 μm), and micron-scale pores (>1 μm) according to the pore throat radius, and then the liquid conditions in different scale spaces are analyzed respectively, and the proportion of pores of various levels is calculated using the nuclear magnetic resonance T2 curve.

[0132] The pore throat radii of the core before and after the compaction experiment can be calculated according to the above formula, and the pore throats are divided into different levels according to the pore throat radius.

[0133] Step 04: Obtain the influence degree coefficient of the compaction experiment on the core pore throats based on the first sorting coefficient and the second sorting coefficient.

[0134] Obtain the first sorting coefficient of the pore throats based on the pore throat radii corresponding to the first preset percentage and the second preset percentage of the cumulative frequency before the compaction experiment; and / or

[0135] Obtain the second sorting coefficient of the pore throats based on the pore throat radii corresponding to the first preset percentage and the second preset percentage of the cumulative frequency after the compaction experiment.

[0136] Specifically, according to the classification of the core pore throat radii before and after the compaction experiment, obtain the cumulative frequency before the compaction experiment and the cumulative frequency after the compaction experiment.

[0137] Through the comparative analysis of pore throats before and after the experiment, the influence degree of compaction on the pore throats of the core can be quantitatively evaluated, which can be specifically characterized by the following formula:

[0138]

[0139] In the formula, R is the influence degree coefficient of the compaction experiment on the pore throats of the core; A0 is the first sorting coefficient of the pore throats before the compaction test; A1 is the second sorting coefficient of the pore throats after the compaction test.

[0140] Among them, the first sorting coefficient before compaction is:

[0141] A0 = d 25，0 / d 75 , 0 ;(3)

[0142] Among them, d25,0 is the pore throat diameter corresponding to the cumulative frequency of 25% before compaction; d75,0 is the pore throat diameter corresponding to the cumulative frequency of 75% before compaction.

[0143] The second sorting coefficient after compaction is:

[0144] A1 = d 25，1 / d 75，1 ;(3)

[0145] Among them, d 25,1 is the pore throat diameter corresponding to the cumulative frequency of 25% after compaction; d 75,1 is the pore throat diameter corresponding to the cumulative frequency of 75% after compaction.

[0146] Step 05: Evaluate the compaction experiment of the fracture wall of the continental shale oil and gas well based on the influence degree coefficient of the compaction experiment on the pore throats of the core.

[0147] In addition to the above steps, the evaluation method of the compaction experiment of the fracture wall of the oil and gas well also includes:

[0148] Step 06: During the experiment, obtain the nuclear magnetic resonance T2 curve of the core in real time;

[0149] Step 07: Based on the nuclear magnetic resonance T2 curve of the core obtained in real time, obtain the change of the T2 relaxation spectrum through the nuclear magnetic resonance T2 curve, and use the relaxation time difference of water molecules in different pores and the positive correlation between the water molecular weight and the relaxation amplitude signal to establish the characteristics of the internal fluid distribution in the pores to simulate the migration and diffusion of liquid in the core.

[0150] In this embodiment, the experimental evaluation method for fracture wall compaction in oil and gas wells establishes an experimental evaluation method for fracture wall compaction in continental shale. By simulating the real working conditions of the fracture wall surface during the fracturing construction process and conducting nuclear magnetic resonance scanning of the core at different times, it is possible to judge the changes in the pore throat structure in the fracture wall surface area under the fracturing environment, solve various problems such as the lack of theoretical guidance in the current continental shale oil and gas fracturing process, and effectively improve the fracturing transformation effect of continental shale oil and gas reservoirs.

[0151] The memory can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0152] Example 5:

[0153] This embodiment also provides a computer-readable storage medium. In each embodiment of the present invention, each functional unit can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium.

[0154] Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in each embodiment of the present invention.

[0155] The aforementioned storage medium includes: flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, optical disk, server, APP application mall, and other various media that can store program verification codes. A computer program is stored thereon, and when the computer program is executed by a processor, the following method steps can be implemented:

[0156] Step 01: Obtain the first nuclear magnetic resonance T2 spectrum of the core before the compaction experiment and the second nuclear magnetic resonance T2 spectrum of the core after the compaction experiment. The nuclear magnetic resonance device in the test system can measure the core before and after the experiment to obtain the first nuclear magnetic resonance T2 spectrum and the second nuclear magnetic resonance T2 spectrum.

[0157] Step 02: Obtain the first radius of each core pore throat before the compaction experiment based on the first T2 spectrum, and obtain the first sorting coefficient of the pore throat before the compaction experiment based on the first radius.

[0158] Specifically, the obtaining of the first radius of each core pore throat before the compaction experiment based on the first T2 spectrum includes:

[0159] Step 021: Obtain the first T2 relaxation spectrum based on the first T2 spectrum;

[0160] Step 022: Obtain the distribution of liquids in pore throats of different sizes before the compaction experiment based on the first T2 relaxation spectrum;

[0161] Step 023: Obtain the first radius of each core pore throat before the compaction experiment based on the distribution of liquids in pore throats of different sizes before the compaction experiment.

[0162] In addition, the obtaining of the first sorting coefficient of the pore throat before the compaction experiment based on the first radius includes:

[0163] Step 025: Classify the pore throats of different sizes before the compaction experiment based on the first radius of each core pore throat before the compaction experiment;

[0164] Step 026: For the classified pore throats, obtain the proportion of each type of pore throat before the compaction experiment based on the nuclear magnetic resonance T2 curve before the compaction experiment;

[0165] Step 027: Obtain the first sorting coefficient of the pore throat before the compaction experiment based on the proportion of each type of pore throat before the compaction experiment.

[0166] Step 03: Obtain the second radius of each core pore throat after the compaction experiment based on the second T2 map, and obtain the second sorting coefficient of the pore throats after the compaction experiment based on the second radius.

[0167] Specifically, the obtaining of the second radius of each core pore throat after the compaction experiment based on the second T2 map includes:

[0168] Step 031: Obtain the second T2 relaxation spectrum based on the second T2 map;

[0169] Step 032: Obtain the distribution of liquids in pore throats of different sizes after the compaction experiment based on the second T2 relaxation spectrum;

[0170] Step 033: Obtain the second radius of each core pore throat after the compaction experiment based on the distribution of liquids in pore throats of different sizes after the compaction experiment.

[0171] In addition, the obtaining of the second sorting coefficient of the pore throats after the compaction experiment based on the second radius includes:

[0172] Step 034: Classify the pore throats of different sizes after the compaction experiment based on the second radius of each core pore throat after the compaction experiment;

[0173] Step 035: For the classified pore throats, obtain the proportion of each type of pore throat after the compaction experiment based on the nuclear magnetic resonance T2 curve after the compaction experiment;

[0174] Step 036: Obtain the second sorting coefficient of the pore throats after the compaction experiment based on the proportion of each type of pore throat after the compaction experiment.

[0175] In one embodiment, the change of the relaxation spectrum is obtained according to the nuclear magnetic resonance T2 map, a relational expression is established, the distribution of liquids in pore throats of different scales is clarified, and the radius of each core pore throat is obtained based on the distribution of liquids in the pore throats, so as to quantitatively evaluate the change of the core pore throats. Among them, the formula for obtaining the pore throat radius is:

[0176]

[0177] where r is the pore throat radius; T2 is the fluid relaxation time; n is the power rate; N is the conversion coefficient; optionally, n is 0.8 and N is 21.6.

[0178] The pore throats are classified into different levels according to the pore throat radius. Optionally, the pore throats can be classified into: nano-scale pores (<0.1 μm), sub-micron-scale pores (0.1 - 1 μm), and micron-scale pores (>1 μm) according to the pore throat radius, and then the liquid conditions in different scale spaces are analyzed respectively, and the proportion of pores of various levels is calculated by using the nuclear magnetic resonance T2 curve.

[0179] The pore throat radius of the core before and after the compaction experiment can be calculated according to the above formula, and the pore throats are divided into different levels according to the pore throat radius.

[0180] Step 04: Obtain the influence degree coefficient of the compaction experiment on the core pore throat based on the first sorting coefficient and the second sorting coefficient.

[0181] Based on the pore throat radii corresponding to the first preset percentage and the second preset percentage of the cumulative frequency before the compaction experiment, obtain the first sorting coefficient of the pore throat; and / or

[0182] Based on the pore throat radii corresponding to the first preset percentage and the second preset percentage of the cumulative frequency after the compaction experiment, obtain the second sorting coefficient of the pore throat.

[0183] Specifically, according to the classification of the core pore throat radii before and after the compaction experiment, obtain the cumulative frequency before the compaction experiment and the cumulative frequency after the compaction experiment.

[0184] Through the comparative analysis of different pore throats before and after the experiment, the influence degree of the compaction effect on the core pore throat can be quantitatively evaluated, and it can be specifically characterized by the following formula:

[0185]

[0186] In the formula, R is the influence degree coefficient of the compaction experiment on the core pore throat; A0 is the first sorting coefficient of the pore throat before the compaction test; A1 is the second sorting coefficient of the pore throat after the compaction test.

[0187] Among them, the first sorting coefficient before compaction is:

[0188] A0 = d 25，0 / d 75，0 ; (3)

[0189] Among them, d 25,0 is the pore throat diameter corresponding to a cumulative frequency of 25% before compaction; d 75,0 is the pore throat diameter corresponding to a cumulative frequency of 75% before compaction.

[0190] The second sorting coefficient after compaction is:

[0191] A1 = d 25，1 / d 75，1 ; (3)

[0192] Among them, d 25,1 is the pore throat diameter corresponding to a cumulative frequency of 25% after compaction; d 75,1 is the pore throat diameter corresponding to a cumulative frequency of 75% after compaction.

[0193] Step 05: Evaluate the compaction experiment of the fracture wall of the continental shale oil and gas well based on the influence degree coefficient of the compaction experiment on the core pore throat.

[0194] In addition to the above steps, the experimental evaluation method for fracture wall compaction of oil and gas wells further includes:

[0195] Step 06: During the experiment, the nuclear magnetic resonance T2 curve of the core is obtained in real time;

[0196] Step 07: Based on the nuclear magnetic resonance T2 curve of the core obtained in real time, the change of the T2 relaxation spectrum is obtained through the nuclear magnetic resonance T2 curve. By using the relaxation time difference of water molecules in different pores and the positive correlation between the water molecular weight and the relaxation amplitude signal, the characteristics of the fluid distribution inside the pores are established to simulate the migration and diffusion of liquid in the core.

[0197] In this embodiment, the experimental evaluation method for fracture wall compaction of oil and gas wells establishes an experimental evaluation method for fracture wall compaction of continental shale. By simulating the real working conditions of the fracture wall surface during the fracturing construction process and conducting nuclear magnetic resonance scanning of the core at different times, it can judge the change of the pore throat structure in the fracture wall surface area in the fracturing environment, solve various problems such as the lack of theoretical guidance in the current continental shale oil and gas fracturing process, and effectively improve the fracturing transformation effect of continental shale oil and gas reservoirs.

[0198] Example 6:

[0199] This embodiment provides an experimental evaluation method for fracture wall compaction of oil and gas wells. The experimental evaluation method for fracture wall compaction of oil and gas wells includes:

[0200] (1) Build a test system. The schematic diagram of the test system is as Figure 3 shown. Place the test system in an oven environment, set the oven temperature to 95 °C. Simulate the formation confining pressure on the core by continuously applying a pressure of 40 MPa through the core holder; set the displacement pressure at the core end face of the liquid inlet end to 35 MPa.

[0201] (2) The nuclear magnetic resonance equipment in the test system can perform real-time measurements on the core before, during, and after the experiment to obtain the nuclear magnetic resonance curves of the core before, during, and after the experiment.

[0202] (3) Obtain the pore throat radius of the core before, during, and after the experiment through the nuclear magnetic resonance curve, and classify the core according to the pore throat radius of the core. Optionally, before the experiment, the proportion of nano-scale pores (<0.1 μm) is 38.7%, the proportion of sub-micron pores (0.1 - 1 μm) is 45.4%, and the proportion of micron pores (>1 μm) is 14.2%; after the experiment, the proportion of nano-scale pores (<0.1 μm) is 41.9%, the proportion of sub-micron pores (0.1 - 1 μm) is 51.5%, and the proportion of micron pores (>1 μm) is 14.1%.

[0203] (4) Obtain the sorting coefficient of pore throats based on the pore throat radius. Based on the sorting coefficients of pore throats before and after the compaction experiment, quantitatively evaluate that the influence degree of the compaction experiment on the pore throats of the core is 13.5%.

[0204] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention. Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated herein.

[0205] In several embodiments provided in the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the couplings, direct couplings, or communication connections shown or discussed with each other can be through some interfaces. The indirect couplings or communication connections of the devices or units can be in an electrical, mechanical, or other form. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they can be located in one place, or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0206] The basic principles of the present application have been described above in combination with specific embodiments. However, it should be noted that the advantages, advantages, effects, etc. mentioned in the present application are only examples and not limitations. It cannot be considered that these advantages, advantages, effects, etc. are essential for each embodiment of the present application. In addition, the above-disclosed specific details are only for the purposes of illustration and easy understanding, rather than limitations. The above details do not limit the present application to necessarily adopt the above specific details to implement.

[0207] The block diagrams of the devices, apparatuses, equipment, and systems involved in the present application are only illustrative examples and do not intend to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagrams. As those skilled in the art will recognize, these devices, apparatuses, equipment, and systems can be connected, arranged, and configured in any manner.

[0208] It should also be noted that in the devices, equipment and methods of the present application, each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations shall be regarded as equivalent solutions of the present application.

[0209] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein can be applied to other aspects without departing from the scope of the present application. Therefore, the present application is not intended to be limited to the aspects shown herein, but rather to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0210] In the description of the present application, the meaning of "a plurality of" is at least two, such as two, three, etc., unless otherwise specifically defined. All directional indications (such as up, down, left, right, front, back, top, bottom...) in the embodiments of the present application are only used to explain the relative positional relationship and movement conditions between components in a specific posture (as shown in the drawings). If the specific posture changes, the directional indications will also change accordingly. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally further include steps or units not listed, or may optionally further include other steps or units inherent to these processes, methods, products or devices.

[0211] In addition, the mention of "embodiments" in this document means that the specific features, structures or characteristics described in connection with the embodiments can be included in at least one embodiment of the present application. The appearance of this phrase at various positions in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0212] As described above, the above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims. The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, etc. made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims

1. An experimental evaluation method for fracture wall compaction in oil and gas wells, which is realized based on the experimental test system for fracture wall compaction in continental shale oil and gas wells, is characterized in that, Comprising: Obtaining a first nuclear magnetic resonance T2 spectrum of the core before the compaction experiment and a second nuclear magnetic resonance T2 spectrum of the core after the compaction experiment; Obtaining a first radius of each core pore throat before the compaction experiment based on the first T2 spectrum, and obtaining a first sorting coefficient of the pore throats before the compaction experiment based on the first radius; Obtaining a second radius of each core pore throat after the compaction experiment based on the second T2 spectrum, and obtaining a second sorting coefficient of the pore throats after the compaction experiment based on the second radius; Obtaining an influence degree coefficient of the compaction experiment on the core pore throats based on the first sorting coefficient and the second sorting coefficient; Evaluating the compaction experiment of the fracture wall of a continental shale oil and gas well based on the influence degree coefficient of the compaction experiment on the core pore throats.

2. The evaluation method for the compaction experiment of the fracture wall in an oil and gas well according to claim 1, wherein The obtaining a first radius of each core pore throat before the compaction experiment based on the first T2 spectrum includes: Obtaining a first T2 relaxation spectrum based on the first T2 spectrum; Obtaining the distribution of liquids in pore throats of different sizes before the compaction experiment based on the first T2 relaxation spectrum; Obtaining a first radius of each core pore throat before the compaction experiment based on the distribution of liquids in pore throats of different sizes before the compaction experiment.

3. The method for evaluating the compaction experiment of the fracture wall in an oil and gas well according to claim 1, wherein The obtaining a first sorting coefficient of the pore throats before the compaction experiment based on the first radius includes: Classifying pore throats of different sizes before the compaction experiment based on the first radius of each core pore throat before the compaction experiment; For the classified pore throats, obtaining the proportion of each type of pore throat before the compaction experiment based on the nuclear magnetic resonance T2 curve before the compaction experiment; Obtaining a first sorting coefficient of the pore throats before the compaction experiment based on the proportion of each type of pore throat before the compaction experiment.

4. The method for evaluating the compaction experiment of the fracture wall in an oil and gas well according to claim 1, wherein, The obtaining a second radius of each core pore throat after the compaction experiment based on the second T2 spectrum includes: Obtaining a second T2 relaxation spectrum based on the second T2 spectrum; Obtaining the distribution of liquids in pore throats of different sizes after the compaction experiment based on the second T2 relaxation spectrum; Obtaining a second radius of each core pore throat after the compaction experiment based on the distribution of liquids in pore throats of different sizes after the compaction experiment.

5. The evaluation method for the fracture wall compaction experiment of an oil and gas well according to claim 1, wherein, The obtaining a second sorting coefficient of the pore throats after the compaction experiment based on the second radius includes: Classifying pore throats of different sizes after the compaction experiment based on the second radius of each core pore throat after the compaction experiment; For the classified pore throats, obtaining the proportion of each type of pore throat after the compaction experiment based on the nuclear magnetic resonance T2 curve after the compaction experiment; Obtaining a second sorting coefficient of the pore throats after the compaction experiment based on the proportion of each type of pore throat after the compaction experiment.

6. The evaluation method for the fracture wall compaction experiment of an oil and gas well according to claim 1, characterized in that, Comprising: Obtaining a first sorting coefficient of the pore throats based on the pore throat radii corresponding to the first preset percentage and the second preset percentage of the cumulative frequency before the compaction experiment; And / or Obtaining a second sorting coefficient of the pore throats based on the pore throat radii corresponding to the first preset percentage and the second preset percentage of the cumulative frequency after the compaction experiment.

7. The method for evaluating the compaction experiment of the fracture wall in an oil and gas well according to claim 1, wherein, Further comprising: During the experiment, obtaining the nuclear magnetic resonance T2 curve of the core in real time; Based on the nuclear magnetic resonance T2 curve of the core obtained in real time, using the relaxation time difference of water molecules in different pores and the positive correlation between the water molecular weight and the relaxation amplitude signal, establishing the characteristics of the internal fluid distribution in the pores to simulate the migration and diffusion of liquids in the core.

8. An experimental evaluation device for compacting the fracture wall of an oil and gas well, characterized in that, Comprising: A T2 spectrum acquisition module for acquiring a first nuclear magnetic resonance T2 spectrum of a core before a compaction experiment and a second nuclear magnetic resonance T2 spectrum of the core after the compaction experiment; A data processing module for obtaining a first radius of each core pore throat before the compaction experiment based on the first T2 spectrum, and obtaining a first sorting coefficient of the pore throats before the compaction experiment based on the first radius; obtaining a second radius of each core pore throat after the compaction experiment based on the second T2 spectrum, and obtaining a second sorting coefficient of the pore throats after the compaction experiment based on the second radius; obtaining an influence degree coefficient of the compaction experiment on the core pore throats based on the first sorting coefficient and the second sorting coefficient; An experimental evaluation module for evaluating the compaction experiment of the fracture wall of a continental shale oil and gas well based on the influence degree coefficient of the compaction experiment on the core pore throats.

9. An experimental system for compressing the fracture wall of an oil and gas well, which is used to conduct the experiment on compressing the fracture wall of a continental shale oil and gas well described in any one of the above claims 1-7, is characterized in that, Comprising: A peristaltic pump, a core holder, a liquid collection device, and a data acquisition device; The liquid inlet end of the core holder is connected to the peristaltic pump, the liquid outlet end of the core holder is connected to the liquid collection device, and a data acquisition device is connected; the compaction experiment system further includes an annular pressure tracking pump and a nuclear magnetic resonance measurement device; wherein the annular pressure tracking pump is connected to the core holder; the core holder is placed inside the nuclear magnetic resonance measurement device.

10. An electronic device, characterized in that, Comprising a memory and a processor, the memory is used for storing one or more computer instructions, wherein, when the one or more computer instructions are executed by the processor, the method for evaluating the compaction experiment of the fracture wall of an oil and gas well as described in any one of the above claims 1-7 is realized.

11. A computer-readable storage medium, characterized in that, A computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, it is used to realize the method for evaluating the compaction experiment of the fracture wall of an oil and gas well as described in any one of the above claims 1-7.

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