Shale reservoir data acquisition method and device based on vibration fluctuation gating

Abstract

The invention discloses a shale reservoir data acquisition method and device based on vibration fluctuation gating. The method comprises the following steps: extracting a high-order component of which the order is matched with the inherent frequency of the reservoir from an original vibration signal of the shale reservoir, and carrying out band-pass filtering processing to obtain a low-frequency signal of which the frequency is reduced; carrying out square operation and band-pass filtering on the low-frequency signal iteration to amplify the instantaneous frequency fluctuation of the signal; performing ridge line extraction on the signal obtained after iteration processing to obtain an instantaneous frequency signal; removing an instantaneous rotating speed signal corresponding to the instantaneous frequency signal in the original vibration signal to obtain a new vibration signal; and extracting setting data of the shale reservoir based on the new vibration signal. The spectrum aggregation of the vibration signal processed by the method is obviously improved, the frequency band broadening phenomenon is basically eliminated, the energy condition can be really reflected, and the extracted shale reservoir data is more real.

Description

Technical Field

[0001] This invention relates to the field of data acquisition technology in shale oil and gas extraction, and particularly to a shale reservoir data acquisition method and device based on vibration wave gating. Background Technology

[0002] Shale gas is a very important energy source. Before mining an unexploited shale gas well, it is generally necessary to first determine the unexploited shale gas reserves. Then, a production system is formulated based on the shale gas reserves so that the staff can mine the shale gas well according to the production system. During the production and construction of shale gas wells, engineering technicians need to check the production dynamics and related basic data of the shale gas wells at any time to ensure their normal operation.

[0003] Vibration signals are collected, and spectral analysis is performed to determine the amplitude of characteristic frequency components and calculate relevant indicators, thereby assessing the health status of the transmission system or analyzing and locating faults. A common method for estimating speed fluctuations is phase demodulation. This method selects a certain harmonic component related to the speed in the vibration signal, filters out this component using a filter, and performs phase demodulation to obtain its phase. The speed information is then obtained from the first derivative of the phase information. However, this method is severely affected by noise, and significant analysis errors occur in noisy environments. Another method for estimating speed fluctuations is time-frequency analysis. This method performs time-frequency analysis on a certain component of the vibration signal, such as using a short-time Fourier transform to obtain its time-frequency distribution, and then extracts ridges from the time-frequency distribution results to estimate speed fluctuations. However, due to limitations in time-frequency resolution, the accuracy of speed fluctuation extraction methods based on time-frequency analysis is limited, and they cannot accurately extract speed fluctuations. Furthermore, analyzing signals with high sampling frequencies requires significant computational resources. Summary of the Invention

[0004] To enrich the process routes and increase the selection space, this invention provides a shale reservoir data acquisition method and device based on vibration wave gating. The frequency concentration of the processed vibration signal spectrum is significantly improved, the bandwidth broadening phenomenon is basically eliminated, and it can truly reflect the energy situation, and the extracted shale reservoir data is more realistic.

[0005] In a first aspect, embodiments of the present invention provide a shale reservoir data acquisition method based on vibration wave gating, comprising:

[0006] High-order components with orders matching the natural frequency of the shale reservoir are extracted from the original vibration signal of the shale reservoir, and then bandpass filtered to obtain a low-frequency signal with reduced frequency.

[0007] The low-frequency signal is iteratively squared and bandpass filtered until the set conditions are met.

[0008] Ridge extraction is performed on the signal obtained after iterative processing to obtain the instantaneous frequency signal;

[0009] The instantaneous rotational speed signal corresponding to the instantaneous frequency signal in the original vibration signal is removed to obtain a new vibration signal;

[0010] The set data of the shale reservoir are extracted based on the new vibration signal.

[0011] Secondly, embodiments of the present invention provide a shale reservoir data acquisition device based on vibration wave gating, comprising:

[0012] The high-order component low-frequency signal acquisition module is used to extract high-order components whose order matches the natural frequency of the shale reservoir from the original vibration signal of the shale reservoir, and obtain a low-frequency signal with reduced frequency after bandpass filtering.

[0013] The low-frequency signal amplification module is used to iteratively perform squaring and bandpass filtering on the low-frequency signal until a set condition is met;

[0014] The instantaneous frequency signal extraction module is used to extract the ridge line from the signal obtained after iterative processing to obtain the instantaneous frequency signal;

[0015] The instantaneous rotational speed signal removal module is used to remove the instantaneous rotational speed signal corresponding to the instantaneous frequency signal from the original vibration signal to obtain a new vibration signal;

[0016] The shale reservoir data extraction module is used to extract the set data of the shale reservoir based on the new vibration signal.

[0017] Thirdly, embodiments of the present invention provide a computer storage medium storing computer-executable instructions, which, when executed by a processor, implement the above-described shale reservoir data acquisition method based on vibration wave gating.

[0018] Fourthly, embodiments of this disclosure provide a server, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the above-described shale reservoir data acquisition method based on vibration wave gating.

[0019] The beneficial effects of the above-described technical solutions provided in the embodiments of the present invention include at least the following:

[0020] The shale reservoir data acquisition method based on vibration wave gating provided in this invention extracts a high-order component from the original vibration signal of the shale reservoir, whose order matches the reservoir's natural frequency. This component should have a high signal-to-noise ratio within its frequency band. Therefore, the component is negatively modulated by bandpass filtering, i.e., the instantaneous frequency is shifted downwards to obtain a low-frequency signal with a reduced frequency. The low-frequency signal is iteratively squared and bandpass filtered to amplify the instantaneous frequency fluctuations. The instantaneous frequency fluctuations obtained after iterative processing are quite considerable, allowing the originally extremely weak instantaneous frequency fluctuations to be accurately extracted through ridge extraction to obtain the instantaneous frequency signal. The instantaneous rotational speed signal corresponding to the instantaneous frequency signal in the original vibration signal is removed to obtain a new vibration signal. The spectral concentration is significantly improved, and the bandwidth broadening phenomenon is basically eliminated, which can truly reflect the energy situation. Therefore, the shale reservoir data extracted based on the new vibration signal is more realistic. This method solves the problem that due to the limitation of time-frequency resolution, the rotational speed fluctuation extraction method based on time-frequency analysis has limited accuracy and cannot accurately extract rotational speed fluctuations. Furthermore, analyzing signals with high sampling frequencies requires significant computational costs.

[0021] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0022] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0023] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0024] Figure 1 This is a flowchart of the shale reservoir data acquisition method based on vibration wave gating in Embodiment 1 of the present invention;

[0025] Figure 2 This is a flowchart illustrating the specific implementation of the shale reservoir data acquisition method based on vibration wave gating in Embodiment 2 of the present invention.

[0026] Figure 3 This is a time-frequency distribution diagram of the instantaneous frequency signal after its rise in Embodiment 2 of the present invention;

[0027] Figure 4 This is a schematic diagram of the high-precision rotational speed signal in Embodiment 2 of the present invention;

[0028] Figure 5This is a schematic diagram of the shale reservoir data acquisition device based on vibration wave gating in an embodiment of the present invention. Detailed Implementation

[0029] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0030] It should be understood that the terminology used in this invention is merely for describing particular embodiments and is not intended to limit the invention. Furthermore, with respect to numerical ranges in this invention, it should be understood that each intermediate value between the upper and lower limits of the range is also specifically disclosed. Every smaller range between any stated value or intermediate value within a stated range, and any other stated value or intermediate value within said range, is also included in this invention. The upper and lower limits of these smaller ranges may be independently included or excluded from the range.

[0031] Unless otherwise stated, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. While only preferred methods and materials have been described herein, any methods and materials similar or equivalent to those described herein may be used in the implementation or testing of this invention. All references to this specification are incorporated by way of citation to disclose and describe methods and / or materials associated with those references. In the event of any conflict with any incorporated reference, the content of this specification shall prevail.

[0032] This invention provides a method and apparatus for acquiring shale reservoir data based on vibration wave gating. The processed vibration signal spectrum concentration is significantly improved, the bandwidth broadening phenomenon is basically eliminated, and the energy situation can be truly reflected, resulting in more accurate shale reservoir data.

[0033] Example 1

[0034] Embodiment 1 of the present invention provides a shale reservoir data acquisition method based on vibration wave gating, the process of which is as follows: Figure 1 As shown, it includes the following steps:

[0035] Step S11: Extract the high-order component whose order matches the natural frequency of the shale reservoir from the original vibration signal of the shale reservoir, and obtain the low-frequency signal with reduced frequency after bandpass filtering.

[0036] Besides being of higher order, the extracted higher-order components have a higher signal-to-noise ratio within their respective frequency bands. Therefore, negative modulation is applied to these components, which involves shifting the instantaneous frequency downwards. After bandpass filtering, a lower-frequency signal is obtained.

[0037] Step S12: Iteratively perform squaring and bandpass filtering on the low-frequency signal until the set conditions are met.

[0038] After each squaring operation and bandpass filtering, the instantaneous frequency of the signal is increased by two times, and the corresponding instantaneous frequency fluctuation is also amplified by two times, indicating that squaring plus bandpass filtering can amplify the instantaneous frequency fluctuation of the signal.

[0039] Specifically, meeting the set conditions could be either reaching a set number of iterations or the fluctuation amplitude of the instantaneous frequency signal reaching a set amplitude.

[0040] Furthermore, the number of times can be set to 6 to 8.

[0041] Step S13: Extract the ridge line from the signal obtained after iterative processing to obtain the instantaneous frequency signal.

[0042] Ridge extraction is performed on signals with instantaneous frequency rise and amplified instantaneous frequency fluctuations, so that the originally extremely weak instantaneous frequency signals can be accurately extracted.

[0043] Step S14: Remove the instantaneous rotational speed signal corresponding to the instantaneous frequency signal from the original vibration signal to obtain a new vibration signal.

[0044] Determine the original frequency signal corresponding to the instantaneous frequency signal in the original vibration signal; determine the corresponding instantaneous rotational speed signal in the original vibration signal based on the original frequency signal; remove the instantaneous rotational speed signal from the original vibration signal to obtain a stable vibration signal.

[0045] Step S15: Extract the set data of the shale reservoir based on the new vibration signal.

[0046] In some embodiments, the dynamic database of shale reservoirs can also be updated based on the newly extracted setting data.

[0047] Furthermore, the dynamic database includes data such as initial production allocation, current pressure, current output, production start date, and actual production days for production wells within shale reservoirs.

[0048] The shale reservoir data acquisition method based on vibration wave gating provided in this invention extracts a high-order component from the original vibration signal of the shale reservoir, whose order matches the reservoir's natural frequency. This component should have a high signal-to-noise ratio within its frequency band. Therefore, the component is negatively modulated by bandpass filtering, i.e., the instantaneous frequency is shifted downwards to obtain a low-frequency signal with a reduced frequency. The low-frequency signal is iteratively squared and bandpass filtered to amplify the instantaneous frequency fluctuations. The instantaneous frequency fluctuations obtained after iterative processing are quite considerable, allowing the originally extremely weak instantaneous frequency fluctuations to be accurately extracted through ridge extraction to obtain the instantaneous frequency signal. The instantaneous rotational speed signal corresponding to the instantaneous frequency signal in the original vibration signal is removed to obtain a new vibration signal. The spectral concentration is significantly improved, and the bandwidth broadening phenomenon is basically eliminated, which can truly reflect the energy situation. Therefore, the shale reservoir data extracted based on the new vibration signal is more realistic. This method solves the problem that due to the limitation of time-frequency resolution, the rotational speed fluctuation extraction method based on time-frequency analysis has limited accuracy and cannot accurately extract rotational speed fluctuations. Furthermore, analyzing signals with high sampling frequencies requires significant computational costs.

[0049] Example 2

[0050] Embodiment 2 of this invention provides a specific application of a shale reservoir data acquisition method based on vibration wave gating, taking a shale gas reservoir as an example, the process of which is as follows: Figure 2 As shown, it includes the following steps:

[0051] Step S21: Data collection and analysis.

[0052] The data acquisition and analysis process includes the following steps:

[0053] (1) Geological tasks and old data analysis, clarify the characteristics of geological targets, conduct preliminary data analysis, interference wave characteristics, single shot analysis, profile analysis and multi-path precision, and then conduct structural, stratigraphic, fault, target layer burial depth, thickness prediction, etc.

[0054] (2) Parameter design for geological targets, analyze the signal-to-noise ratio of data, the resolution of the main target layer, evaluate the original observation system, collect VSP logging, sonic logging, logging data, processed results data, geological interpretation, field surface survey data, two-dimensional raw data, etc., and determine geophysical parameters such as geological strata, two-way time, stacking velocity, layer velocity, burial depth, stratum dip angle, highest frequency, dominant frequency, vertical and horizontal resolution.

[0055] (3) Illumination analysis and CRP attribute analysis: In view of the reasons why it is difficult to image marine strata in the study area, firstly, the large surface undulation makes static correction difficult, and secondly, the complex underground structure and large lateral velocity variation make it difficult to correctly locate the reflection information. We innovatively proposed and introduced a new design concept that replaces CNP superposition with CRP imaging, replaces horizontal surface design with true surface design, and combines forward modeling test with actual test to optimize the observation system of the original seismic signal.

[0056] Step S22: Extraction and correction of vibration signal fluctuation speed.

[0057] First, select the first-order high-order component in the vibration signal with a clear physical meaning and the same trend as the rotational speed change. The test condition setting is a rotational speed of 1480 RPN, which is a rotational frequency of 24 Hz. Select the 175th order high-order component. In addition to being high-order, this component should have a high signal-to-noise ratio in its frequency band. Negatively modulate the component, that is, shift the instantaneous frequency down. After the high-order component is bandpass filtered, it is negatively modulated at 4300 Hz to the low frequency band.

[0058] Then, the signal is squared first, followed by bandpass filtering:

[0059]

[0060] This represents a filter with a center frequency of 2f1 and a bandwidth of f. band This resulted in a signal whose instantaneous frequency fluctuation was doubled. Then, the signal is squared and bandpass filtered again to obtain... Then we can continue iterating;

[0061]

[0062] At this point, the instantaneous frequency fluctuation is 2. n The amplification process completed the first increase in instantaneous frequency. After each squared-bandpass filter operation, the instantaneous frequency of the signal was increased by a factor of two, and the corresponding instantaneous frequency fluctuations were also amplified by a factor of two. This demonstrates that squared-bandpass filtering can amplify the instantaneous frequency fluctuations of the signal. After 14 times amplification (i.e., 7 iterations), the instantaneous frequency fluctuations of the signal became quite considerable, and the accuracy was improved by a factor of 2700. See also Figure 3 The figure shows the time-frequency distribution after the signal rises.

[0063] Determine the original frequency signal corresponding to the instantaneous frequency signal in the original vibration signal; determine the corresponding instantaneous rotational speed signal in the original vibration signal based on the original frequency signal; remove the instantaneous rotational speed signal from the original vibration signal.

[0064] The increase in the instantaneous frequency fluctuations of the signal ultimately enabled the precise extraction of the originally extremely weak instantaneous frequency fluctuations. See [link / reference needed]. Figure 4 The image shown is a schematic diagram of a high-precision rotation speed signal.

[0065] The signal spectrum concentration after removing speed fluctuations is significantly improved, the bandwidth broadening phenomenon is basically eliminated, and it can truly reflect the energy status of this component.

[0066] Step S23: Extract data from production wells in shale reservoirs based on the new vibration signals.

[0067] Step S24: Update the dynamic database of production wells in the reservoir based on the extracted data.

[0068] (1) The process of obtaining shale gas well data first involves obtaining the data of N shale gas wells that need updating, where N is an integer greater than or equal to 1. In a shale gas field, there can be N shale gas wells. Therefore, the computer can manage the data of these N shale gas wells. The data to be updated can be manually collected from a database and downloaded to a removable device. Then, the removable device is connected to the computer, or a USB flash drive is connected. The computer obtains the data by copying or pasting. The shale gas well data to be updated includes the following: daily production reports, single-well daily reports, morning reports, fracturing parameter summary tables, fracturing test flowback summary tables, flow pressure measurement summary tables, static pressure measurement summary tables, unobstructed flow rate calculation result tables, and stratigraphic statistics tables for the N shale gas wells. When obtaining the shale gas well data to be updated, the computer needs to perform certain processing. The computer can decompress the multi-file version of the single-well daily report file package, the fracturing parameter file package, and the well inclination data file package, and store them all in a designated area within the storage area. The computer can rename the morning report file to a standard name and store it in a designated area within the storage area. The computer can decompress and store the data in a designated area within the storage area. The computer can sort the flow pressure and static pressure measurement summary data by "well number + date" and store it in a designated area within the storage area. The computer can also store the stratigraphic statistics table file in a designated area within the storage area.

[0069] (2) Shale gas well production data flow: The shale gas well production data flow involves obtaining the shale gas well data that needs to be updated. The corresponding shale gas well data that needs to be updated also includes the data of each of the N shale gas wells. First, open the morning report file in the shale gas well data that needs to be updated. The morning report file contains all the data of the N shale gas wells. Then, determine the time period of the data to be collected this time based on the current time and the time of the last collection. That is, the time period is between the current time and the time of the last collection. Based on the time period, and with the morning report file open, as well as the daily report file of each shale gas well, the computer can collect the production data of each shale gas well according to the preset data collection order. The data collection order is the numbering order of each shale gas well in the N shale gas wells from smallest to largest. The extracted production data of each shale gas well includes: initial production data, current pressure, current output, production date, and actual production days, etc.

[0070] (3) Shale gas data acquisition process: The shale gas data acquisition process involves obtaining data from N shale gas wells that need updating, where N is an integer greater than or equal to 1. Production data for each of the N shale gas wells is extracted from the data to be updated, resulting in a total of N shale gas well production data. Based on the data to be updated and the production data of the N shale gas wells, the graphs and data in the production curve charts corresponding to the production data of each shale gas well are updated. Finally, based on the obtained data from the N shale gas wells that need updating, the computer further extracts the production data for each of the N shale gas wells. Furthermore, based on the data to be updated and the production data of the N shale gas wells, the computer automatically updates the graphs and data in the production curve charts corresponding to the production data of each shale gas well. Therefore, by automatically analyzing, processing, and extracting data through computers, the data of shale gas wells can be updated automatically without the need for laborious manual work.

[0071] Based on the inventive concept of this invention, embodiments of this invention also provide a shale reservoir data acquisition device based on vibration wave gating, the structure of which is as follows: Figure 5 As shown, it includes:

[0072] The high-order component low-frequency signal acquisition module 51 is used to extract the high-order component whose order matches the natural frequency of the shale reservoir from the original vibration signal of the shale reservoir, and obtain the low-frequency signal with reduced frequency after bandpass filtering.

[0073] The low-frequency signal amplification module 52 is used to iteratively perform squaring and bandpass filtering on the low-frequency signal until a set condition is met.

[0074] The instantaneous frequency signal extraction module 53 is used to extract the ridge line from the signal obtained after iterative processing to obtain the instantaneous frequency signal;

[0075] The instantaneous rotation speed signal elimination module 54 is used to eliminate the instantaneous rotation speed signal corresponding to the instantaneous frequency signal in the original vibration signal to obtain a new vibration signal;

[0076] Shale reservoir data extraction module 55 is used to extract set data of the shale reservoir based on new vibration signals.

[0077] In some embodiments, the instantaneous rotational speed signal rejection module 54, which rejects the instantaneous rotational speed signal corresponding to the instantaneous frequency signal from the original vibration signal, is used for:

[0078] Determine the original frequency signal corresponding to the instantaneous frequency signal in the original vibration signal; determine the instantaneous rotational speed signal corresponding to the original vibration signal based on the original frequency signal; and remove the instantaneous rotational speed signal from the original vibration signal.

[0079] In some embodiments, the above-described apparatus further includes an observation system optimization module 56, configured to:

[0080] The observation system for the original seismic signal was optimized by combining CRP imaging, true surface design, forward modeling, and actual testing.

[0081] In some embodiments, the above apparatus further includes a dynamic database update module 57, configured to:

[0082] The dynamic database of the shale reservoir is updated based on the extracted new setting data.

[0083] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0084] Based on the inventive concept of the present invention, the embodiments of the present invention also provide a computer storage medium storing computer-executable instructions, which, when executed by a processor, implement the above-mentioned shale reservoir data acquisition method based on vibration wave gating.

[0085] Based on the inventive concept of this invention, this embodiment of the invention also provides a server, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the above-mentioned shale reservoir data acquisition method based on vibration wave gating.

[0086] Unless otherwise specifically stated, terms such as processing, calculation, operation, determination, display, etc., may refer to the actions and / or processes of one or more processing or computing systems or similar devices that represent the manipulation and conversion of data representing physical (e.g., electronic) quantities within the registers or memory of the processing system into other data similarly representing physical quantities within the memory, registers, or other such information storage, transmission, or display devices of the processing system. Information and signals can be represented using any of a variety of different techniques and methods. For example, data, instructions, commands, information, signals, bits, symbols, and chips mentioned throughout the above description can be represented by voltage, current, electromagnetic waves, magnetic fields or particles, light fields or particles, or any combination thereof.

[0087] It should be understood that the specific order or hierarchy of steps in the disclosed process is an example of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the process may be rearranged without departing from the scope of this disclosure. The appended method claims provide elements of various steps in an exemplary order and are not intended to limit the scope to the specific order or hierarchy described.

[0088] In the detailed description above, various features are combined together in a single embodiment to simplify this disclosure. This approach to disclosure should not be construed as reflecting an intention that embodiments of the claimed subject matter require more features than those stated in each claim. Rather, as reflected in the appended claims, the invention is presented with fewer features than all of the features in a single disclosed embodiment. Therefore, the appended claims are hereby clearly incorporated into the detailed description, wherein each claim stands alone as a preferred embodiment of the invention.

[0089] Those skilled in the art will also understand that the various illustrative logic blocks, modules, circuits, and algorithm steps described in conjunction with the embodiments herein can be implemented as electronic hardware, computer software, or a combination thereof. To clearly illustrate the interchangeability between hardware and software, the various illustrative components, blocks, modules, circuits, and steps described above are generally described in terms of their functionality. Whether such functionality is implemented as hardware or software depends on the specific application and the design constraints imposed on the overall system. Those skilled in the art can implement the described functionality in alternative ways for each specific application; however, such implementation decisions should not be construed as departing from the scope of this disclosure.

[0090] The steps of the methods or algorithms described in conjunction with the embodiments herein can be directly embodied in hardware, software modules executed by a processor, or a combination thereof. The software modules can reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disks, removable disks, CD-ROMs, or any other form of storage medium well known in the art. An exemplary storage medium is connected to the processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and storage medium can reside in an ASIC. The ASIC can reside in a user terminal. Alternatively, the processor and storage medium can exist as discrete components in the user terminal.

[0091] For software implementation, the techniques described in this application can be implemented using modules (e.g., procedures, functions, etc.) that perform the functions described in this application. This software code can be stored in memory units and executed by a processor. The memory units can be implemented within the processor or outside the processor; in the latter case, they are communicatively coupled to the processor via various means, as is well known in the art.

[0092] The foregoing description includes examples of one or more embodiments. It is certainly impossible to describe all possible combinations of components or methods in order to describe the above embodiments, but those skilled in the art will recognize that further combinations and arrangements of the various embodiments are possible. Therefore, the embodiments described herein are intended to cover all such changes, modifications, and variations that fall within the scope of the appended claims. Furthermore, the term "comprising" as used in the specification or claims is interpreted in a manner similar to the term "including," as interpreted when used as a conjunction in the claims. Additionally, the use of any term "or" in the specification of the claims is intended to mean "non-exclusive or."

Claims

1. A shale reservoir data acquisition method based on vibration wave gating, characterized in that, include: High-order components with orders matching the natural frequency of the shale reservoir are extracted from the original vibration signal of the shale reservoir, and then bandpass filtered to obtain a low-frequency signal with reduced frequency. The low-frequency signal is iteratively squared and bandpass filtered until the set conditions are met. Ridge extraction is performed on the signal obtained after iterative processing to obtain the instantaneous frequency signal; The instantaneous rotational speed signal corresponding to the instantaneous frequency signal is removed from the original vibration signal to obtain a new vibration signal; The set data of the shale reservoir are extracted based on the new vibration signal.

2. The method as described in claim 1, characterized in that, The set conditions are met when the number of iterations reaches a set number, or when the fluctuation amplitude of the instantaneous frequency signal reaches a set amplitude.

3. The method as described in claim 2, characterized in that, The set number of times is 6 to 8.

4. The method as described in claim 1, characterized in that, The step of removing the instantaneous rotational speed signal corresponding to the instantaneous frequency signal from the original vibration signal includes: Determine the original frequency signal corresponding to the instantaneous frequency signal in the original vibration signal; The instantaneous rotational speed signal corresponding to the original vibration signal is determined based on the original frequency signal; The instantaneous rotational speed signal is removed from the original vibration signal.

5. The method as described in claim 1, characterized in that, Also includes: The observation system for the original seismic signal was optimized by combining CRP imaging, true surface design, forward modeling, and actual testing.

6. The method as described in claim 1, characterized in that, Also includes: The dynamic database of the shale reservoir is updated based on the extracted new setting data.

7. The method as described in claim 6, characterized in that, The dynamic database includes initial production data, current pressure, current output, production start date, and actual production days of production wells within the shale reservoir.

8. A shale reservoir data acquisition device based on vibration wave gating, characterized in that, include: The high-order component low-frequency signal acquisition module is used to extract high-order components whose order matches the natural frequency of the shale reservoir from the original vibration signal of the shale reservoir, and obtain a low-frequency signal with reduced frequency after bandpass filtering. The low-frequency signal amplification module is used to iteratively perform squaring and bandpass filtering on the low-frequency signal until a set condition is met; The instantaneous frequency signal extraction module is used to extract the ridge line from the signal obtained after iterative processing to obtain the instantaneous frequency signal; The instantaneous rotational speed signal removal module is used to remove the instantaneous rotational speed signal corresponding to the instantaneous frequency signal from the original vibration signal to obtain a new vibration signal; The shale reservoir data extraction module is used to extract set data of the shale reservoir based on new vibration signals.

9. A computer storage medium, characterized in that, The computer storage medium stores computer-executable instructions, which, when executed by a processor, implement the shale reservoir data acquisition method based on vibration wave gating as described in any one of claims 1 to 7.

10. A server, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the program, implements the shale reservoir data acquisition method based on vibration wave gating as described in any one of claims 1 to 7.

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