Horizontal well crack position determination method and device, storage medium and equipment

Abstract

The invention discloses a horizontal well crack position determination method and device, a storage medium and equipment. The method comprises the steps that in response to a pump stopping signal, water hammer waves are generated in a horizontal well pipeline; acquiring an initial pressure signal of a wellhead position in a water hammer wave flowing process; preprocessing the initial pressure signal to determine a target pressure signal; and determining a crack position in the horizontal well pipeline based on the target pressure signal. The technical problems that an existing hydraulic fracturing crack monitoring method belongs to intrusive monitoring and is high in cost, and results can be provided only after all fracturing work is completed are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of hydraulic fracturing in oil and gas field development, and in particular to a method, device, storage medium and equipment for determining the position of a horizontal well crack. Background Art

[0002] With the development of unconventional energy sources such as tight gas and shale oil and gas, hydraulic fracturing technology has made significant progress. In particular, in the past decade, breakthroughs in horizontal well multi-cluster fracturing technology have provided strong guarantees for the exploration and development of unconventional oil and gas reservoirs. As an efficient production increase measure, horizontal well multi-cluster fracturing technology is also the main form of tight oil and gas exploitation. Its main principle is to inject fracturing fluid into the formation, causing one or several cracks in the formation. In a pressurized pipeline, a series of violent pressure fluctuations in the pipeline caused by momentum conversion due to a sudden change in flow velocity is called water hammer. The cause of water hammer is a sudden change in flow velocity in a certain section, causing the pressure there to suddenly jump or drop. This transient pressure wave is the essence of water hammer.

[0003] There are many methods for monitoring hydraulic fracturing fractures, including microseismic monitoring, heterodyne distributed vibration sensing, distributed temperature sensing, traceable proppants and chemical tracers, etc. However, these methods are invasive monitoring, expensive, and can only provide results after all fracturing work is completed.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] The embodiments of the present invention provide a method, device, storage medium and equipment for determining the location of horizontal well fractures, so as to at least solve the technical problems that the existing hydraulic fracturing fracture monitoring method is invasive monitoring, costly, and can only provide results after all fracturing work is completed.

[0006] According to one aspect of an embodiment of the present invention, a method for determining a horizontal well crack position is provided, comprising: generating a water hammer wave in a horizontal well pipe in response to a pump stop signal; obtaining an initial pressure signal at a wellhead position during the flow of the water hammer wave; preprocessing the initial pressure signal to determine a target pressure signal; and determining a crack position in the horizontal well pipe based on the target pressure signal.

[0007] Optionally, the above-mentioned generation of a water hammer wave in the horizontal well pipeline in response to a pump stop signal includes: injecting fracturing fluid into the above-mentioned horizontal well pipeline based on a predetermined flow rate; receiving a pump stop signal, stopping the injection operation of the above-mentioned fracturing fluid, and generating the above-mentioned water hammer wave.

[0008] Optionally, the above-mentioned obtaining of the initial pressure signal at the wellhead position during the water hammer wave flow process includes: setting a high-frequency pressure monitoring device at the above-mentioned wellhead position; and using the above-mentioned high-frequency pressure monitoring device to obtain the above-mentioned initial pressure signal.

[0009] Optionally, the preprocessing of the initial pressure signal to determine the target pressure signal includes: filtering the initial pressure signal using a Gaussian filtering method to determine the target pressure signal.

[0010] Optionally, the above-mentioned determination of the crack position based on the above-mentioned target pressure signal includes: determining the amplitude information, oscillation period and reflection time of the above-mentioned water hammer wave based on the above-mentioned target pressure signal; determining the above-mentioned crack position based on the above-mentioned amplitude information, the above-mentioned oscillation period and the above-mentioned reflection time, thereby completing a crack position determination operation.

[0011] Optionally, the above-mentioned determination of the crack position based on the above-mentioned target pressure signal further includes: repeating the above-mentioned crack position determination operation multiple times to determine multiple crack positions.

[0012] According to another aspect of an embodiment of the present invention, a device for determining the position of a horizontal well crack is also provided, comprising: a response module for generating a water hammer wave in a horizontal well pipeline in response to a pump stop signal; an acquisition module for acquiring an initial pressure signal at a wellhead position during the flow of the water hammer wave; a first determination module for preprocessing the initial pressure signal to determine a target pressure signal; and a second determination module for determining the position of the crack in the horizontal well pipeline based on the target pressure signal.

[0013] According to another aspect of an embodiment of the present invention, a non-volatile storage medium is provided. The non-volatile storage medium stores a plurality of instructions. The instructions are suitable for being loaded by a processor and executing any one of the above-mentioned methods for determining the location of a horizontal well fracture.

[0014] According to another aspect of an embodiment of the present invention, a processor is further provided, and the processor is used to run a program, wherein the program is configured to execute any one of the above-mentioned methods for determining the location of a horizontal well fracture when running.

[0015] According to another aspect of an embodiment of the present invention, there is also provided an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute any one of the above-mentioned methods for determining the location of a horizontal well fracture.

[0016] In an embodiment of the present invention, a water hammer wave is generated in a horizontal well pipeline in response to a pump stop signal; an initial pressure signal at the wellhead position during the flow of the water hammer wave is obtained; the initial pressure signal is preprocessed to determine a target pressure signal; based on the target pressure signal, the crack position in the horizontal well pipeline is determined, thereby achieving the purpose of analyzing and processing based on the pressure signal and determining the pipeline information, thereby realizing non-invasive real-time monitoring of the fracturing process, and obtaining results in time during the operation process and performing the next operation deployment. The technical effect solves the technical problem that the existing hydraulic fracturing crack monitoring method is invasive monitoring, costly, and can only provide results after all fracturing work is completed. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0018] Figure 1 It is a schematic flow chart of a method for determining the location of fractures in a horizontal well according to the prior art;

[0019] Figure 2 Schematic diagram of the structure of a device for determining a fracture position in a horizontal well according to an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only 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 should fall within the scope of protection of the present invention.

[0021] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0022] By analyzing the water hammer signal, we can get the pipeline information (leakage, blockage) "obtained" during the propagation process. For example, during the fracturing pump stop period, the fracturing fluid is injected at a constant flow rate for a period of time and then the well is shut down and the pump is stopped. At this time, the injection flow at the wellhead suddenly becomes zero in a very short time, causing a sudden drop in the pressure at the wellhead. Due to the inertia and compressibility of the fluid, this sudden pressure drop will propagate to the bottom of the well in the form of a pressure wave and reflect at the bottom of the well to form a water hammer. At this time, without considering the energy loss caused by overcoming the friction resistance and the energy loss at the crack, the fluid in the entire wellbore returns to the flow state at the initial moment of pump stop. In reality, due to the drastic energy loss at the crack and the influence of the friction resistance between the fluid and the wellbore, the entire pump stop water hammer wave will quickly (usually within a few cycles) decay to 0. In the early stage of fracturing pump stop, strong pressure fluctuations occurred. As time increased, the amplitude decreased and basically decayed to 0 after about 7 cycles; and the pressure fluctuation cycle remained unchanged, about 9 seconds. These characteristics meet the characteristics of pump stop water hammer.

[0023] The horizontal well staged fracturing technology uses tools such as bridge plugs and separators to divide the horizontal wellbore into multiple sections, and then pumps a large amount of fracturing fluid from the wellhead, and the fluid flows into the formation through the perforated holes. When the pressure is greater than the formation fracture pressure, the formation breaks and forms cracks, and the subsequent pumping of high-pressure fluid promotes the continued extension and expansion of the cracks. At present, the average length of the horizontal section of the horizontal well is 1000 to 2500 meters, and the fracturing is carried out every 40 to 150 meters. The stronger the heterogeneity of the reservoir, the greater the difference in formation pressure between the fracturing sections, which will lead to differences in the flow state of the fluid in each fracture. After the fracturing construction is completed, the production profile test found that the liquid production between the sections is unevenly distributed and some fracturing sections have no production. Therefore, it is necessary to rely on technical means to monitor the effectiveness of each fracture, increase oil and gas production, and improve economic benefits.

[0024] There are many methods for monitoring hydraulic fracturing fractures, including microseismic monitoring, heterodyne distributed vibration sensing, distributed temperature sensing, traceable proppants and chemical tracers, etc. However, these methods are invasive monitoring, expensive, and can only provide results after all fracturing work is completed.

[0025] Therefore, there is an urgent need for a fracturing crack monitoring technology that can perform non-invasive real-time monitoring of the fracturing process, obtain results in a timely manner during the operation, and deploy the next step of the operation.

[0026] According to an embodiment of the present invention, an embodiment of a method for determining the location of fractures in a horizontal well is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0027] Figure 1 FIG. 1 is a flow chart of a method for determining a horizontal well fracture position according to an embodiment of the present invention. Figure 1 As shown, the method comprises the following steps:

[0028] Step S102, generating a water hammer wave in the horizontal well pipe in response to a pump stop signal;

[0029] Step S104, obtaining an initial pressure signal at the wellhead during the water hammer wave flow process;

[0030] Step S106, pre-processing the initial pressure signal to determine a target pressure signal;

[0031] Step S108, determining the crack position in the horizontal well pipe based on the target pressure signal.

[0032] In an embodiment of the present invention, the execution body of the horizontal well fracture position determination method provided in the above steps S102 to S108 is a horizontal well fracture position determination system, and the above system is used to generate a water hammer wave in the horizontal well pipeline in response to a pump stop signal; obtain an initial pressure signal at the wellhead position during the water hammer wave flow process; pre-process the above initial pressure signal to determine a target pressure signal; and determine the fracture position in the above horizontal well pipeline based on the above target pressure signal.

[0033] It should be noted that the high-frequency pressure monitoring method is used to determine the fracture location after hydraulic fracturing. This method obtains the fracture location by combining advanced signal processing algorithms and tube wave velocity models based on Bayesian statistics. This method is applicable to liner cementing (bridge plug and perforation) and sliding sleeve completion, and is also applicable to repeated fracturing operations. Specific applications can be expanded to evaluate the efficiency of the fracturing fluid diverter at the fracture entrance and evaluate the fracture location.

[0034] As an optional embodiment, the pipeline information "obtained" during the propagation process can be obtained by analyzing the water hammer signal. Wellhead pressure is a parameter that must be recorded during hydraulic fracturing, and the pump stop process after fracturing will cause the flow rate in the pipeline to suddenly change, causing the pressure there to suddenly jump and generate water hammer. The water hammer wave will propagate in the underground wellbore and gradually attenuate due to the influence of pipeline friction and other factors, and disappear after several cycles. It is worth noting that the water hammer signal will propagate along the wellbore at a certain speed and receive the change of hydraulic impedance in the well. This change can be identified by the pressure sensor at the wellhead. By determining the period, amplitude and polarity of the water hammer signal oscillation, some information in the wellbore, such as pipe ends, cracks, etc., can be determined. If the sampling rate of the pressure data collected at the wellhead can reach more than tens of hertz, then the water hammer signal can be reconstructed with sufficient accuracy and the crack information can be determined.

[0035] Through the embodiments of the present invention, the effectiveness of horizontal well cluster fracture prediction is improved, and the results can be obtained in time during the operation process without affecting other operation processes. The operation is simple and the cost is low.

[0036] In an optional embodiment, the above-mentioned response to the pump stop signal to generate a water hammer wave in the horizontal well pipeline includes: injecting fracturing fluid into the above-mentioned horizontal well pipeline based on a predetermined flow rate; receiving the pump stop signal, stopping the injection operation of the above-mentioned fracturing fluid, and generating the above-mentioned water hammer wave.

[0037] As an optional embodiment, after the fracturing fluid is injected at a constant flow rate for a period of time, the well is shut down and the pump is stopped. At this time, the injection flow rate at the wellhead suddenly becomes zero in a very short time, causing a sudden drop in pressure at the wellhead. Since the fluid has inertia and compressibility, this sudden pressure drop will propagate to the bottom of the well in the form of a pressure wave and reflect at the bottom of the well to form a water hammer.

[0038] In an optional embodiment, the above-mentioned acquisition of the initial pressure signal at the wellhead position during the water hammer wave flow process includes: setting a high-frequency pressure monitoring device at the above-mentioned wellhead position; and using the above-mentioned high-frequency pressure monitoring device to acquire the above-mentioned initial pressure signal.

[0039] As an optional embodiment, a high-frequency pressure monitoring device is installed at the wellhead to collect high-frequency pressure data after the pump is stopped during the first stage of fracturing.

[0040] In an optional embodiment, the preprocessing of the initial pressure signal to determine the target pressure signal includes: filtering the initial pressure signal using a Gaussian filtering method to determine the target pressure signal.

[0041] As an optional embodiment, the chaotic pressure water hammer signal is filtered by Gaussian filtering to remove the noise of the water hammer pressure signal without changing the water hammer waveform. Gaussian filtering effectively removes the noise of the pressure water hammer signal, and obtains a relatively smooth waveform curve without changing the pressure water hammer signal waveform, which is conducive to the subsequent inverse spectrum processing and the acquisition of reflection time.

[0042] Optionally, the pressure signal y(t) actually measured after the pump is stopped can be expressed as the sum of the useful signal x(t) and the noise component e(t):

[0043] y(t)=x(t)+e(t) (1)

[0044] Among them, the noise component e(t) contains broadband electronic noise, narrow harmonic peaks caused by hydraulic pump strokes, and zero-frequency trend components related to slow processing pressure changes. Therefore, in the preprocessing stage, the surface pressure signal y(t) should be filtered to remove the noise e(t) and only retain the useful signal x(t). The present invention adopts the Gaussian filtering method to reduce the noise and separate the pressure signal. The basic method is to perform a convolution operation on the Gaussian function and the original signal data to obtain the smoothed data, which is a linear smoothing filter.

[0045] In an optional embodiment, the above-mentioned determination of the crack position based on the above-mentioned target pressure signal includes: determining the amplitude information, oscillation period and reflection time of the above-mentioned water hammer wave based on the above-mentioned target pressure signal; determining the above-mentioned crack position based on the above-mentioned amplitude information, the above-mentioned oscillation period and the above-mentioned reflection time, thereby completing a crack position determination operation.

[0046] As an optional embodiment, the inverse spectrum method is used, and its specific operation is to perform a logarithmic operation on the Fourier transform of the original signal and then perform an inverse Fourier transform to convert the time domain and the frequency domain. The time corresponding to the negative peak of the transformed signal is the reflection time; Bayesian statistical inference is used to iteratively calculate the prior velocity and the posterior velocity; and then the position of each crack in the first section is obtained.

[0047] Optionally, the filtered wellhead pressure signal x(t) is similar to the convolution model of seismic waves, which can be expressed as a mathematical convolution operation of the source signal s(t) and the wellbore reflectivity w(t):

[0048] x(t)=s(t)*w(t) (2)

[0049] Among them, the wellbore reflectivity w(t) is an unknown parameter in the convolution equation (2). Usually, it is a minimum phase attenuation pulse sequence, and its reflection time corresponds to the position where the impedance changes in the wellbore. When the signal propagation speed and attenuation along the wellbore are known, the depth and type of the reflected signal can be determined by solving the convolution equation about the unknown wellbore reflectivity w(t). The present invention applies cepstrum analysis to the convolution equation (2), and the reflection time and amplitude of the wellbore reflectivity w(t) contained in the water hammer wave can be determined without determining the unknown source signal s(t). Cepstrum is a nonlinear algorithm for data processing, which is sensitive to the reflection information in the signal. Its specific operation is to perform an inverse Fourier transform on the Fourier transform of the original signal after logarithmic operation.

[0050] Optionally, in order to convert the obtained crack reflection time into the crack position, the tube wave velocity needs to be calculated. In this case, the tube wave velocity plays the role of a conversion coefficient, and its general expression is:

[0051]

[0052] In the formula, K, G, and K eff are the fluid, formation and effective bulk moduli, respectively; E, t and D are the Young's modulus, thickness and diameter of the pipe, respectively; and ρ is the fluid density. Because it is necessary to know the fluid properties under given P and T conditions and parameters such as the wellbore geometry, this method of directly calculating the velocity is unreasonable, and the velocity accuracy given is almost no higher than 10%. This is because the tube wave velocity in the well is affected by the fluid properties, formation parameters, and pipe materials. In addition, temperature changes and the geometric characteristics of the wellbore shape will also affect its velocity changes. Therefore, Bayesian inference is needed to correct the velocity. Bayesian inference provides a general probabilistic framework that can integrate existing sample information with current samples to produce posterior data or posterior distributions.

[0053] In an optional embodiment, the above-mentioned determination of the crack position based on the above-mentioned target pressure signal further includes: repeating the above-mentioned crack position determination operation multiple times to determine multiple crack positions.

[0054] As an optional embodiment, the above crack position determination operation is repeated multiple times to obtain the positions of each crack in the remaining segments.

[0055] Optionally, the location of each crack;

[0056] H=vT (4)

[0057] Where: H is the position of the crack inlet point (m); v is the wave velocity after Bayesian correction (m / s); T is the reflection time in the detection pressure signal.

[0058] It should be noted that the pressure water hammer signal obtained after Gaussian filtering is processed by means of inverse spectrum, and the inverse spectrum parameters are as follows: the window length is 6000, and the sampling is performed every 50 points. Finally, the inverse spectrum of the reflection time is obtained.

[0059] Optionally, the reflection time of most segments is around 6s. In order to obtain a more accurate reflection time, the inverse frequency graph is peak tracked to obtain the specific reflection time. Then the Bayesian statistical inference method is used to predict the location of the crack and obtain the posterior probability distribution of the crack location, as shown in Table 1. The error between the crack and the design condition (perforation) is calculated. In the case of no penetration of the bridge plug, the error can be within 25m.

[0060] Table 1 Prediction results of fracture positions in a well

[0061] part time Start perforation End of perforation Inferred Value 11 5.4251 3925 3984 3949 12 5.3237 3826 3883 3871

[0062] In an optional embodiment, the present invention uses Gaussian filtering to filter the chaotic pressure water hammer signal, removes the noise of the water hammer pressure signal without changing the water hammer waveform, and then uses the inverse spectrum method to convert the time domain and frequency domain. The time corresponding to the negative peak of the converted signal is the reflection time. Finally, the Bayesian statistical inference method is used to obtain the posterior crack position.

[0063] Through the above steps, it is possible to analyze the water hammer signal and obtain the pipeline information "obtained" during the propagation process. Wellhead pressure is a parameter that must be recorded during hydraulic fracturing, and the pump stop process after fracturing will cause the flow rate in the pipeline to suddenly change, causing the pressure there to suddenly jump and produce water hammer. The water hammer wave will propagate in the underground wellbore and gradually attenuate due to the influence of pipeline friction and other factors, and disappear after several cycles. It is worth noting that the water hammer signal will propagate along the wellbore at a certain speed and receive the change of hydraulic impedance in the well. This change can be identified by the pressure sensor at the wellhead. By determining the period, amplitude and polarity of the water hammer signal oscillation, some information in the wellbore, such as pipe ends, cracks, etc., can be finally determined. If the sampling rate of the pressure data collected at the wellhead can reach more than tens of hertz, then the water hammer signal can be reconstructed with sufficient accuracy and the crack information can be determined.

[0064] According to an embodiment of the present invention, there is also provided an embodiment of a device for implementing the above-mentioned method for determining the position of a horizontal well fracture. Figure 2 is a schematic diagram of the structure of a device for determining a fracture position in a horizontal well according to an embodiment of the present invention. Figure 2 As shown, the above device includes: a response module 20, an acquisition module 22, a first determination module 24 and a second determination module 26, wherein:

[0065] A response module 20, for generating a water hammer wave in a horizontal well pipe in response to a pump stop signal;

[0066] An acquisition module 22 is used to acquire an initial pressure signal at a wellhead position during a water hammer wave flow process;

[0067] A first determination module 24 is used to pre-process the initial pressure signal to determine a target pressure signal;

[0068] The second determination module 26 is used to determine the crack position in the horizontal well pipe based on the target pressure signal.

[0069] It should be noted here that the above-mentioned response module 20, acquisition module 22, first determination module 24 and second determination module 26 correspond to steps S102 to S108 in Example 1, and the four modules and the corresponding steps implement the same instances and application scenarios, but are not limited to the contents disclosed in the above-mentioned Example 1.

[0070] It should be noted that the preferred implementation of this embodiment can refer to the relevant description in Example 1, which will not be repeated here.

[0071] According to an embodiment of the present invention, an embodiment of a computer-readable storage medium is also provided. Optionally, in this embodiment, the computer-readable storage medium can be used to store the program code executed by the method for determining the location of a horizontal well fracture provided in the above embodiment 1.

[0072] Optionally, in this embodiment, the computer-readable storage medium may be located in any computer terminal in a computer terminal group in a computer network, or in any mobile terminal in a mobile terminal group.

[0073] Optionally, in this embodiment, the computer-readable storage medium is configured to store program codes for executing the following steps: generating a water hammer wave in the horizontal well pipeline in response to a pump stop signal; obtaining an initial pressure signal at the wellhead position during the water hammer wave flow process; preprocessing the above initial pressure signal to determine a target pressure signal; and determining the crack position in the above horizontal well pipeline based on the above target pressure signal.

[0074] Optionally, the computer-readable storage medium is configured to store program codes for executing the following steps: injecting fracturing fluid into the horizontal well pipeline based on a predetermined flow rate; receiving a pump stop signal, stopping the injection operation of the fracturing fluid, and generating the water hammer wave.

[0075] Optionally, the computer-readable storage medium is configured to store program codes for executing the following steps: setting a high-frequency pressure monitoring device at the wellhead location; and acquiring the initial pressure signal using the high-frequency pressure monitoring device.

[0076] Optionally, the computer-readable storage medium is configured to store program codes for executing the following steps: filtering the initial pressure signal using a Gaussian filtering method to determine the target pressure signal.

[0077] Optionally, the computer-readable storage medium is configured to store program codes for executing the following steps: based on the target pressure signal, determining the amplitude information, oscillation period and reflection time of the water hammer wave; based on the amplitude information, the oscillation period and the reflection time, determining the crack position, and completing a crack position determination operation.

[0078] Optionally, the computer-readable storage medium is configured to store a program code for executing the following steps: repeating the above crack position determination operation multiple times to determine multiple crack positions.

[0079] According to an embodiment of the present invention, an embodiment of a processor is also provided. Optionally, in this embodiment, the computer-readable storage medium may be used to store the program code executed by the method for determining the location of a horizontal well fracture provided in the above embodiment 1.

[0080] An embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, the following steps are implemented: in response to a pump stop signal, a water hammer wave is generated in a horizontal well pipeline; an initial pressure signal at a wellhead position during the flow of the water hammer wave is obtained; the initial pressure signal is preprocessed to determine a target pressure signal; and based on the target pressure signal, a crack position in the horizontal well pipeline is determined.

[0081] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing an initialization program having the following method steps: generating a water hammer wave in a horizontal well pipeline in response to a pump stop signal; obtaining an initial pressure signal at the wellhead position during the flow of the water hammer wave; preprocessing the above initial pressure signal to determine a target pressure signal; and determining the crack position in the above horizontal well pipeline based on the above target pressure signal.

[0082] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0083] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0084] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. 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 mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0085] 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 may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0086] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0087] If the integrated unit 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. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or 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, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0088] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for determining the location of a horizontal well fracture, characterized in that: include: In response to a pump stop signal, a water hammer wave is generated in a horizontal well pipe; Obtain the initial pressure signal at the wellhead during the water hammer wave flow process; Preprocessing the initial pressure signal to determine a target pressure signal; Based on the target pressure signal, the location of the fracture in the horizontal well pipe is determined.

2. The method according to claim 1, characterized in that The step of generating a water hammer wave in a horizontal well pipe in response to a pump stop signal comprises: injecting fracturing fluid into the horizontal well pipeline based on a predetermined flow rate; A pump stop signal is received to stop the injection operation of the fracturing fluid and generate the water hammer wave.

3. The method according to claim 1, characterized in that The method of obtaining the initial pressure signal at the wellhead during the water hammer wave flow process includes: Setting a high-frequency pressure monitoring device at the wellhead; The high-frequency pressure monitoring device is used to obtain the initial pressure signal.

4. The method according to claim 1, characterized in that: The preprocessing of the initial pressure signal to determine the target pressure signal includes: The initial pressure signal is filtered using a Gaussian filtering method to determine the target pressure signal.

5. The method according to claim 1, characterized in that The determining of the crack position based on the target pressure signal comprises: Based on the target pressure signal, determining the amplitude information, oscillation period and reflection time of the water hammer wave; Based on the amplitude information, the oscillation period and the reflection time, the crack position is determined, and a crack position determination operation is completed.

6. The method according to claim 5, characterized in that The determining of the crack position based on the target pressure signal further includes: The crack position determination operation is repeated multiple times to determine multiple crack positions.

7. A device for determining the position of a horizontal well fracture, characterized in that: include: A response module, for generating a water hammer wave in a horizontal well pipe in response to a pump stop signal; An acquisition module, used to acquire an initial pressure signal at a wellhead position during a water hammer wave flow process; A first determination module, used for preprocessing the initial pressure signal to determine a target pressure signal; The second determination module is used to determine the crack position in the horizontal well pipe based on the target pressure signal.

8. A non-volatile storage medium, characterized in that: The non-volatile storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the method for determining the position of a horizontal well fracture as described in any one of claims 1 to 6.

9. A processor, characterized in that: The processor is used to run a program, wherein the program is configured to execute the method for determining the position of a fracture in a horizontal well according to any one of claims 1 to 6 when running.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to execute the method for determining the position of a fracture in a horizontal well as described in any one of claims 1 to 6.

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