Method, device and equipment for predicting opening degree of bedding seam, medium and program product

Abstract

The invention provides a bedding seam opening degree prediction method and device, equipment, a medium and a program product, and relates to the technical field of oil and gas geology, and the method comprises the steps: constructing a target relational expression between the bedding seam opening degree and the formation pressure; and based on the target relational expression, predicting bedding seam opening values of the shale sample in the preset area under different formation pressures. According to the bedding seam opening degree prediction method provided by the invention, by constructing the target relational expression between the bedding seam opening degree and the formation pressure, the bedding seam opening degree values of the shale sample under different formation pressures in the preset area are accurately predicted, quantitative characterization can be performed on the underground bedding seam, the development characteristics of the underground bedding seam are clarified, and the prediction accuracy of the bedding seam opening degree is improved. Therefore, the problem that in the prior art, the bedding seam opening degree is analyzed only according to the earth surface condition, and large errors are caused is effectively solved, the accuracy and rationality of bedding seam opening degree prediction are improved, and powerful data are provided for bedding seam effectiveness evaluation.

Description

Technical Field

[0001] The invention relates to the technical field of oil and gas geology, and in particular to a bedding fracture opening prediction method, device, equipment, medium and program product. Background Art

[0002] The effectiveness of natural fractures refers to the degree of effectiveness of natural fractures. Natural fractures that are in an open state or still retain a certain effective space and can provide fluid storage space and fluid flow channels are effective fractures. There are many factors that affect the effectiveness of natural fractures, including the period of fracture formation, fracture filling degree, fracture filling type, fracture aperture, reservoir parent rock type, burial depth and fluid properties. At present, the research on the effectiveness of fractures is relatively weak, mainly focusing on the study of fracture filling degree and filling type, and qualitative description of the effectiveness of fractures, lacking more in-depth research. The fracture aperture (the distance between the fracture walls), fracture porosity (the ratio of the fracture volume to the total volume of the rock) and fracture permeability (the size of the seepage role played by the fracture as a seepage channel) are the basis for the study of the effectiveness of bedding fractures.

[0003] Existing research only analyzes the opening and effectiveness of bedding fractures under surface conditions, without considering the opening degree of bedding fractures under actual formation pressure. Therefore, the existing bedding fracture opening prediction method cannot reflect the actual opening of bedding fractures under formation conditions, and may have a large error problem. Summary of the invention

[0004] The present invention provides a bedding fracture opening prediction method, device, equipment, medium and program product, which are used to solve the problem of large error in the bedding fracture opening prediction method in the prior art.

[0005] In a first aspect, the present invention provides a method for predicting bedding fracture opening, comprising: Constructing the target relationship between bedding fracture opening and formation pressure; Based on the target relationship, the bedding fracture aperture values ​​of shale samples in a preset area under different formation pressures are predicted.

[0006] In one embodiment, the target relationship between the construction bedding fracture opening and the formation pressure includes: Constructing the first relationship between bedding fracture opening and formation pressure; constructing a second relationship between formation depth and formation pressure; According to the first relational expression and the second relational expression, a target relational expression between the bedding fracture opening and the formation pressure is constructed.

[0007] In one embodiment, the expression of the target relation is as follows: .

[0008] Wherein, A represents the bedding fracture opening; F() represents the fitting relationship between the bedding fracture opening and the formation pressure; a represents the formation pressure coefficient in the preset area; represents the density of water; g represents the gravity coefficient; h represents the depth of the formation.

[0009] In one embodiment, the first relationship between the construction bedding fracture opening and the formation pressure includes: Calculate bedding fracture opening samples; Fitting the bedding fracture aperture samples and the formation pressure samples to obtain the average aperture of a single bedding fracture under different pressure samples; According to each of the average apertures, a fitting relationship between the bedding fracture aperture and the formation pressure is constructed; Based on the fitting relationship, a first relationship between the bedding fracture aperture and the formation pressure is determined.

[0010] In one embodiment, the calculation of the bedding fracture aperture sample is implemented by the following formula: Among them, A represents the bedding fracture aperture sample; K represents the permeability; w represents the detection range; and n represents the number of bedding fractures.

[0011] In one embodiment, the prediction of the bedding fracture aperture values ​​of shale samples in a preset area under different formation pressures based on the target relationship includes: Determine the formation pressure coefficient within a preset area; Determining an actual relationship between the bedding fracture opening and the formation pressure of the shale sample in the preset area according to the formation pressure coefficient and the target relationship; The actual relationship is used to predict the bedding fracture opening values ​​under different formation pressures.

[0012] In a second aspect, the present invention further provides a device for predicting bedding fracture opening, comprising: A construction module for constructing a target relationship between bedding fracture opening and formation pressure; The prediction module is used to predict the bedding fracture aperture value of shale samples in a preset area under different formation pressures based on the target relationship.

[0013] In a third aspect, the present invention provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of any of the above-mentioned methods for predicting the opening of bedding fractures are implemented.

[0014] In a fourth aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the above-described methods for predicting the opening of bedding fractures.

[0015] In a fifth aspect, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium, and when the computer program is executed by the processor, it implements the steps of any of the above-mentioned methods for predicting the opening of bedding fractures.

[0016] The bedding fracture aperture prediction method, device, equipment, medium and program product provided by the present invention can accurately predict the bedding fracture aperture values ​​of shale samples in a preset area under different formation pressures by constructing a target relationship between the bedding fracture aperture and the formation pressure, and can quantitatively characterize underground bedding fractures and clarify the development characteristics of underground bedding fractures, thereby effectively solving the problem of large errors caused by analyzing the bedding fracture aperture only based on surface conditions in the prior art, improving the accuracy and rationality of the bedding fracture aperture prediction, and also providing strong data for the evaluation of the effectiveness of bedding fractures. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 It is a schematic flow chart of the bedding fracture aperture prediction method provided by the present invention.

[0019] Figure 2 It is a fitting curve diagram between permeability and overburden pressure provided by the present invention.

[0020] Figure 3 It is a fitting curve diagram between the bedding fracture opening and different pressures provided by the present invention.

[0021] Figure 4 It is a structural schematic diagram of the bedding fracture opening prediction device provided by the present invention.

[0022] Figure 5 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] The terms "first", "second", etc. in the present invention are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention can be implemented in an order other than those illustrated or described herein.

[0025] Combine the following Figure 1-Figure 5 The present invention describes the bedding fracture aperture prediction method, device, equipment, medium and program product provided by the present invention.

[0026] It should be noted that the bedding fracture aperture prediction method provided in the embodiment of the present invention is implemented based on the bedding fracture aperture prediction device.

[0027] Since the existing bedding fracture aperture prediction methods are of low practicality, have defects and errors, they cannot reflect the true aperture of bedding fractures under formation conditions. It is believed that at different burial depths, the formation pressure is also different, and the bedding fracture aperture should not only consider the situation under surface conditions, but should consider the true aperture of bedding fractures corresponding to different burial depths and different formation pressure conditions. The bedding fracture aperture prediction method provided by the present invention calculates the bedding fracture aperture under different burial depths and different formation pressure conditions through the relationship between the bedding fracture aperture and the formation pressure, and can quantitatively characterize underground bedding fractures, clarify the development characteristics of underground bedding fractures, make the quantitative characterization of underground bedding fractures more accurate, and also provide theoretical guidance and methodological basis for the effectiveness evaluation of bedding fractures.

[0028] The embodiment of the present invention describes the bedding fracture opening prediction method by taking a bedding fracture opening prediction device as an execution subject as an example.

[0029] Combination Figure 1 , Figure 1 It is a schematic flow chart of the bedding fracture aperture prediction method provided by the present invention.

[0030] like Figure 1 As shown, the method includes the following: Step 101, constructing a target relationship between bedding fracture opening and formation pressure; Step 102: Based on the target relationship, predict the bedding fracture aperture values ​​of shale samples in a preset area under different formation pressures.

[0031] It should be noted that shale is a fine-grained sedimentary rock, mainly composed of clay minerals and containing a certain proportion of organic matter. In layered rocks such as shale, cracks or gaps develop along the bedding plane. Bedding fractures are usually formed during the sedimentation process, or developed due to stress under later geological action. Since the bedding fractures in the strata are formed under the action of ground stress, when the formation pressure changes, the stress acting on the bedding plane will also change accordingly, thereby affecting the opening of the bedding fracture. This means that there is a certain variable relationship between the formation pressure and the opening of the bedding fracture. By constructing the target relationship between the opening of the bedding fracture and the formation pressure, the opening of the bedding fracture under different formation pressure conditions can be solved, making the quantitative characterization of underground bedding fractures more accurate, and also providing suggestions for the effectiveness evaluation of bedding fractures.

[0032] Before constructing the target relationship between the bedding fracture aperture and the formation pressure, sample preparation is required. Thin section observation and overburden permeability experiment are carried out on the prepared samples. Through the experimental process, the target relationship between the bedding fracture aperture and the formation pressure is constructed in one step.

[0033] First, the sample preparation process is described. Layered rocks in a preset area are selected as the sample source. The preset area is selected according to the actual situation. The embodiment of the present invention uses shale as the sample source, but the actual situation is not limited to this. Fix the shale block on the waterless wire cutter, start the waterless wire cutter, and perform preliminary cutting along the bedding direction of the shale to obtain a sample of approximate size. Then use the waterless wire cutter to perform precision cutting on the preliminary cut sample and process it into a standard plunger. For example, a standard plunger of 25 mm*50 mm is processed to ensure that the unevenness error of the two end surfaces of the standard plunger is less than 0.05 mm, the error along the height diameter of the specimen is less than 0.3 mm, and the maximum deviation of the end surface perpendicular to the axis of the specimen is less than 0.25°. Further, a disc of preset size, such as a 10 mm disc, is cut at both ends of the plunger to ensure that the disc is cut smoothly and without damage, and then the cut disc is further mechanically thinned to prepare it into a thin slice, for example, the disc is prepared into a thin slice with a thickness of about 30 µm.

[0034] After the thin slice is prepared, the size and shape of the thin slice can be checked to ensure that it meets the requirements using measuring tools such as micrometers and angle rulers. The thickness and quality of the thin slice can also be checked under a microscope to ensure that there are no cracks, contaminants, etc.

[0035] After obtaining the standard thin section sample, the thin section sample can be used to observe the bedding fractures distributed on it. The prepared thin section sample is placed on the stage of the microscope, and the entire thin section can be preliminarily observed under a low-power microscope to understand the overall distribution of the bedding fractures, and then the magnification can be gradually increased to observe the bedding fractures in detail, record the shape, distribution, opening size, etc. of the bedding fractures, and calculate the number of bedding fractures on the thin section sample.

[0036] At the same time, the fitting relationship between permeability and pressure is determined through overburden permeability experiments. After pretreatment such as cleaning and drying, the shale samples are installed in the overburden permeability test device, and the pressure is gradually increased using a pump to simulate the overburden under formation conditions. Under each overburden pressure, the fluid flow rate is measured within a certain period of time, and the flow rate and corresponding pressure under each overburden pressure are recorded. Furthermore, Darcy's law can be used to calculate the permeability under each overburden pressure, and the permeability data under different overburden pressures can be sorted and analyzed to obtain the fitting relationship between permeability and formation pressure. Figure 2 As shown, Figure 2 is a fitting curve diagram between permeability and overburden pressure provided by the present invention. Figure 2 It can be seen that there is an obvious relationship between permeability and overburden pressure. As the pressure increases, the permeability decreases. This means that there is a certain relationship between formation pressure and bedding fracture opening.

[0037] The known relationship between fracture permeability and bedding fracture opening is that all bedding fractures within the test range are regarded as a flat plate, and the actual opening of a single bedding fracture is not taken into account, as shown in the following formula: Wherein, K represents permeability, in mD; A represents bedding fracture aperture, in μm; h represents detection range; and α represents the inclination angle of bedding fracture.

[0038] Therefore, a new calculation formula for bedding fracture opening is obtained by further correction, as follows: Wherein, K represents permeability, in mD; A represents bedding fracture aperture, in μm; h represents detection range; and n represents the number of bedding fractures.

[0039] Therefore, through the above formula, when the permeability is known, the bedding fracture aperture prediction device can calculate the bedding fracture aperture, and use it as sample data to determine the fitting relationship between the bedding fracture aperture and the formation pressure, and then construct the first relationship between the bedding fracture aperture and the formation pressure, and also construct the second relationship between the formation depth and the formation pressure. By combining these two relationship formulas, the target relationship between the bedding fracture aperture and the formation pressure can be obtained, that is, the calculation formula of the bedding fracture aperture under different depths and different formation pressure conditions.

[0040] Furthermore, the bedding fracture aperture prediction device changes the formation pressure conditions by changing the formation depth based on the target relationship between the bedding fracture aperture and the formation pressure, and predicts the bedding fracture aperture values ​​of shale samples in a preset area under different formation pressure conditions.

[0041] The bedding fracture aperture prediction method provided by the present invention accurately predicts the bedding fracture aperture values ​​of shale samples in a preset area under different formation pressures by constructing a target relationship between the bedding fracture aperture and the formation pressure. It can quantitatively characterize underground bedding fractures and clarify the development characteristics of underground bedding fractures, thereby effectively solving the problem of large errors caused by analyzing the bedding fracture aperture only based on surface conditions in the prior art, improving the accuracy and rationality of the bedding fracture aperture prediction, and providing strong data for the evaluation of the effectiveness of bedding fractures.

[0042] In some embodiments, the target relationship between the construction of bedding fracture opening and formation pressure includes: Constructing the first relationship between bedding fracture opening and formation pressure; constructing a second relationship between formation depth and formation pressure; According to the first relational expression and the second relational expression, a target relational expression between the bedding fracture opening and the formation pressure is constructed.

[0043] Specifically, the bedding fracture opening prediction device constructs a first relationship between the bedding fracture opening and the formation pressure.

[0044] The specific formula of the first relationship between bedding fracture opening and formation pressure is as follows: Where A represents the bedding fracture aperture, in μm; P represents the formation pressure, in MPa; F() represents the fitting relationship between the bedding fracture aperture and the formation pressure.

[0045] In addition, since there is a certain relationship between the burial depth of the formation and the formation pressure, the bedding fracture opening prediction device also constructs a second relationship between the formation depth and the formation pressure.

[0046] The specific formula of the second relationship between formation depth and formation pressure is as follows: Wherein, A represents the formation pressure, in MPa; a is the undetermined coefficient, which is the formation pressure coefficient in the preset area; represents the density of water; g represents the gravity coefficient; h represents the depth of the formation, the unit is m.

[0047] Furthermore, the bedding fracture opening prediction device constructs a target relationship between the bedding fracture opening and the formation pressure based on the first relationship and the second relationship. It can be understood that the bedding fracture opening prediction device combines the first relationship between the bedding fracture opening and the formation pressure with the second relationship between the formation depth and the formation pressure to obtain the target relationship between the bedding fracture opening and the formation pressure, and can realize the prediction of the bedding fracture opening under different depths and different formation pressure conditions.

[0048] The embodiment of the present invention constructs a first relationship between bedding fracture opening and formation pressure, and a second relationship between formation depth and formation pressure, and derives a target relationship between bedding fracture opening and formation pressure based on the relationship. The embodiment of the present invention can accurately predict the bedding fracture opening values ​​of shale samples in a preset area under different formation pressures, can quantitatively characterize underground bedding fractures, and clarify the development characteristics of underground bedding fractures, thereby effectively solving the problem of large errors caused by analyzing bedding fracture opening only based on surface conditions in the prior art, improves the accuracy and rationality of bedding fracture opening prediction, and provides strong data for evaluating the effectiveness of bedding fractures.

[0049] According to the above content, the first relationship between the construction bedding fracture opening and the formation pressure includes: Calculate bedding fracture opening samples; Fitting the bedding fracture aperture samples and the formation pressure samples to obtain the average aperture of a single bedding fracture under different pressure samples; According to each of the average apertures, a fitting relationship between the bedding fracture aperture and the formation pressure is constructed; Based on the fitting relationship, a first relationship between the bedding fracture aperture and the formation pressure is determined.

[0050] Specifically, the corrected bedding fracture opening calculation formula is determined, namely: Wherein, K represents permeability, in mD; A represents bedding fracture aperture, in μm; h represents detection range; and n represents the number of bedding fractures.

[0051] The bedding fracture aperture prediction device calculates the bedding fracture aperture through the above bedding fracture aperture calculation formula, when the permeability is known, and uses it as sample data, recorded as bedding fracture aperture sample.

[0052] In addition, the bedding fracture aperture prediction device uses different formation pressures, which are also used as sample data and recorded as formation pressure samples.

[0053] Furthermore, the bedding fracture aperture prediction device fits the bedding fracture aperture samples and the formation pressure samples to obtain the average aperture of a single bedding fracture under different pressure samples.

[0054] Furthermore, the bedding fracture aperture prediction device constructs a fitting relationship between the bedding fracture aperture and the formation pressure according to each average aperture, and determines a first relationship between the bedding fracture aperture and the formation pressure based on the fitting relationship between the bedding fracture aperture and the formation pressure. Figure 3 As shown, Figure 3 It is a fitting curve diagram between the bedding fracture opening and different pressures provided by the present invention. Figure 3 It can be seen that there is an obvious relationship between the bedding fracture opening and different pressures. As the pressure increases, the bedding fracture opening decreases.

[0055] The specific formula of the first relationship between bedding fracture opening and formation pressure is as follows: Where A represents the bedding fracture aperture, in μm; P represents the formation pressure, in MPa; F() represents the fitting relationship between the bedding fracture aperture and the formation pressure.

[0056] The embodiment of the present invention calculates bedding fracture aperture samples and performs fitting analysis on the bedding fracture aperture samples and formation pressure samples, thereby constructing a first relationship between bedding fracture aperture and formation pressure, effectively quantifying the influence of formation pressure on bedding fracture aperture, and providing an accurate calculation tool for predicting shale bedding fracture aperture under different pressure conditions.

[0057] In some embodiments, the predicting of the bedding fracture aperture values ​​of shale samples in a preset area under different formation pressures based on the target relationship includes: Determine the formation pressure coefficient within a preset area; Determining an actual relationship between the bedding fracture opening and the formation pressure of the shale sample in the preset area according to the formation pressure coefficient and the target relationship; The actual relationship is used to predict the bedding fracture opening values ​​under different formation pressures.

[0058] It should be noted that the formation pressure coefficient in different regions may vary significantly, and it needs to be taken as an influencing factor of the formation pressure, while the water density and gravity coefficient in different regions are relatively stable, and conventional values ​​of water density and gravity coefficient can be used.

[0059] Therefore, the bedding fracture aperture prediction device first needs to determine the formation pressure coefficient in the preset area.

[0060] Furthermore, the bedding fracture aperture prediction device determines the actual relationship between the bedding fracture aperture and the formation pressure of the shale sample in the preset area based on the formation pressure coefficient in the preset area and the target relationship between the bedding fracture aperture and the formation pressure. That is, the bedding fracture aperture prediction device substitutes the formation pressure coefficient in the preset area into the target relationship between the bedding fracture aperture and the formation pressure to obtain the actual relationship between the bedding fracture aperture and the formation pressure of the shale sample in the preset area.

[0061] For example, the formation pressure coefficient in the preset area is 1.4. After substituting it into the target relationship, the actual relationship is: .

[0062] Furthermore, the bedding fracture aperture prediction device predicts the bedding fracture aperture values ​​under different formation pressures by using the actual relationship between the bedding fracture aperture of shale samples in a preset area and the formation pressure.

[0063] The embodiment of the present invention constructs a target relationship between bedding fracture opening and formation pressure to accurately predict the bedding fracture opening values ​​of shale samples in a preset area under different formation pressures. It can quantitatively characterize underground bedding fractures and clarify the development characteristics of underground bedding fractures, thereby effectively solving the problem of large errors caused by analyzing the bedding fracture opening only based on surface conditions in the prior art, improving the accuracy and rationality of bedding fracture opening prediction, and providing strong data for the evaluation of bedding fracture effectiveness.

[0064] Based on all the above contents, an embodiment is listed to provide an overall overview of the bedding fracture aperture prediction method provided by the embodiment of the present invention.

[0065] The shale samples from a certain area in the west were selected. First, the samples were prepared. The plungers were drilled parallel to the bedding direction and thin sections were prepared. Thin section observation and overburden permeability experimental tests were performed. It was found that there were 5 bedding fractures in the field of view, and the permeability had a significant relationship with the pressure ( Figure 2 ), as the pressure increases, the permeability decreases.

[0066] The relationship between the bedding fracture opening and the formation pressure is obtained by fitting the bedding fracture opening and the formation pressure. According to the formation pressure coefficient in the area, the relationship between the formation depth and the formation pressure in the area is established. Finally, the two equations are combined to obtain the relationship between the bedding fracture opening and the burial depth of the stratum in the area: , this formula can be used to predict the true opening of bedding fractures under different burial depths and different formation pressure conditions in the region. By calculating the opening of bedding fractures under different pressures, the calculated opening of bedding fractures under surface conditions is consistent with the opening of bedding fractures obtained under thin section observation, indicating that this calculation method is more accurate.

[0067] The bedding fracture opening prediction device provided by the present invention is described below. The bedding fracture opening prediction device described below and the bedding fracture opening prediction method described above can be referred to each other.

[0068] Reference Figure 4 , Figure 4 It is a structural schematic diagram of the bedding fracture opening prediction device provided by the present invention.

[0069] The bedding fracture opening prediction device comprises: The construction module 410 is used to construct a target relationship between the bedding fracture opening and the formation pressure.

[0070] The prediction module 420 is used to predict the bedding fracture aperture values ​​of shale samples in a preset area under different formation pressures based on the target relationship.

[0071] The bedding fracture aperture prediction device provided by the present invention can accurately predict the bedding fracture aperture values ​​of shale samples in a preset area under different formation pressures by constructing a target relationship between the bedding fracture aperture and the formation pressure. It can quantitatively characterize underground bedding fractures and clarify the development characteristics of underground bedding fractures, thereby effectively solving the problem of large errors caused by analyzing the bedding fracture aperture only based on surface conditions in the prior art, improving the accuracy and rationality of bedding fracture aperture prediction, and providing strong data for the evaluation of the effectiveness of bedding fractures.

[0072] Furthermore, the construction module 410 is also used for: Constructing the first relationship between bedding fracture opening and formation pressure; constructing a second relationship between formation depth and formation pressure; According to the first relational expression and the second relational expression, constructing a target relational expression between bedding fracture opening and formation pressure; The expression of the target relation is as follows: .

[0073] Wherein, A represents the bedding fracture opening; F() represents the fitting relationship between the bedding fracture opening and the formation pressure; a represents the formation pressure coefficient in the preset area; represents the density of water; g represents the gravity coefficient; h represents the depth of the formation.

[0074] Furthermore, the construction module 410 is also used for: Calculate bedding fracture opening samples; Fitting the bedding fracture aperture samples and the formation pressure samples to obtain the average aperture of a single bedding fracture under different pressure samples; According to each of the average apertures, a fitting relationship between the bedding fracture aperture and the formation pressure is constructed; Based on the fitting relationship, determining a first relationship between bedding fracture aperture and formation pressure; The calculation of the bedding fracture opening sample is achieved by the following formula: Among them, A represents the bedding fracture aperture sample; K represents the permeability; w represents the detection range; and n represents the number of bedding fractures.

[0075] Furthermore, the prediction module 420 is also used for: Determine the formation pressure coefficient within a preset area; Determining an actual relationship between the bedding fracture opening and the formation pressure of the shale sample in the preset area according to the formation pressure coefficient and the target relationship; The actual relationship is used to predict the bedding fracture opening values ​​under different formation pressures.

[0076] It should be noted that the bedding fracture aperture prediction device provided by the present invention can execute the bedding fracture aperture prediction method described in any of the above embodiments during specific operation, which will not be described in detail in this embodiment.

[0077] Figure 5 is a schematic diagram of the structure of the electronic device provided by the present invention, such as Figure 5 As shown, the electronic device may include: a processor 510, a communication interface 520, a memory 530 and a communication bus 540, wherein the processor 510, the communication interface 520 and the memory 530 communicate with each other through the communication bus 540. The processor 510 may call the logic instructions in the memory 530 to execute the bedding fracture opening prediction method, which includes: constructing a target relationship between the bedding fracture opening and the formation pressure; based on the target relationship, predicting the bedding fracture opening values ​​of shale samples in a preset area under different formation pressures.

[0078] In addition, the logic instructions in the above-mentioned memory 530 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0079] On the other hand, the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the bedding fracture aperture prediction method provided in the above-mentioned embodiments, the method including: constructing a target relationship between bedding fracture aperture and formation pressure; based on the target relationship, predicting the bedding fracture aperture values ​​of shale samples in a preset area under different formation pressures.

[0080] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, it is implemented to execute the bedding fracture aperture prediction method provided in the above-mentioned embodiments, the method comprising: constructing a target relationship between the bedding fracture aperture and the formation pressure; based on the target relationship, predicting the bedding fracture aperture values ​​of shale samples in a preset area under different formation pressures.

[0081] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment. Those of ordinary skill in the art may understand and implement the present invention without creative effort.

[0082] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0083] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for predicting bedding fracture opening, characterized in that: include: Constructing the target relationship between bedding fracture opening and formation pressure; Based on the target relationship, the bedding fracture aperture values ​​of shale samples in a preset area under different formation pressures are predicted.

2. The bedding fracture aperture prediction method according to claim 1, characterized in that: The target relationship between the constructed bedding fracture opening and the formation pressure includes: Constructing the first relationship between bedding fracture opening and formation pressure; constructing a second relationship between formation depth and formation pressure; According to the first relational expression and the second relational expression, a target relational expression between the bedding fracture opening and the formation pressure is constructed.

3. The bedding fracture aperture prediction method according to claim 2, characterized in that: The expression of the target relation is as follows: 。 Wherein, A represents the bedding fracture opening; F() represents the fitting relationship between the bedding fracture opening and the formation pressure; a represents the formation pressure coefficient in the preset area; represents the density of water; g represents the gravity coefficient; h represents the depth of the formation.

4. The bedding fracture aperture prediction method according to claim 2, characterized in that: The first relationship between the constructed bedding fracture opening and the formation pressure includes: Calculate bedding fracture opening samples; Fitting the bedding fracture aperture samples and the formation pressure samples to obtain the average aperture of a single bedding fracture under different pressure samples; According to each of the average apertures, a fitting relationship between the bedding fracture aperture and the formation pressure is constructed; Based on the fitting relationship, a first relationship between the bedding fracture aperture and the formation pressure is determined.

5. The bedding fracture aperture prediction method according to claim 4, characterized in that: The calculation of the bedding fracture opening sample is achieved by the following formula: Among them, A represents the bedding fracture aperture sample; K represents the permeability; w represents the detection range; and n represents the number of bedding fractures.

6. The bedding fracture aperture prediction method according to any one of claims 1 to 5, characterized in that: The method of predicting the bedding fracture aperture values ​​of shale samples in a preset area under different formation pressures based on the target relationship includes: Determine the formation pressure coefficient within a preset area; Determining an actual relationship between the bedding fracture opening and the formation pressure of the shale sample in the preset area according to the formation pressure coefficient and the target relationship; The actual relationship is used to predict the bedding fracture opening values ​​under different formation pressures.

7. A device for predicting the opening of a bedding fracture, characterized in that: include: A construction module for constructing a target relationship between bedding fracture opening and formation pressure; The prediction module is used to predict the bedding fracture aperture value of shale samples in a preset area under different formation pressures based on the target relationship.

8. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the bedding fracture aperture prediction method according to any one of claims 1 to 6 are implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the bedding fracture aperture prediction method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that: When the computer program is executed by a processor, the steps of the bedding fracture aperture prediction method according to any one of claims 1 to 6 are implemented.

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