Well logging while drilling mud pressure wave signal processing method and system, terminal and medium

Abstract

The invention relates to the technical field of logging, and discloses a logging-while-drilling mud pressure wave signal processing method and system, a terminal and a medium, and aims at acquiring noise signals of a mud pump, performing Fourier transform, determining working frequency band characteristics of the mud pump, acquiring and performing Fourier transform during pressure wave signal transmission, and determining current working frequency band characteristics. On the basis of the comparison result of the characteristics of the two sections of frequency bands, a proper filter is determined, quantitative and accurate filtering of noise signals is achieved, and the characteristics of original pressure wave signals are effectively recovered. The noise frequency band characteristic of the mud pump signal is determined by accurately analyzing the frequency band characteristic of the mud pump signal, and the recovery of the pressure wave signal is realized by combining the frequency spectrum characteristic of the pressure wave signal and based on the design and selection of a band-pass / band-stop filter; according to the signal processing method, noise filtering is carried out based on actual parameter adjustment to replace original experience-based setting, so that an engineer can rapidly debug instrument parameters based on operation parameters, and the instrument debugging time is shortened.

Description

Technical Field

[0001] The present invention relates to the field of well logging technology, and in particular to a method, system, terminal and medium for processing mud pressure wave signals for logging while drilling. Background Art

[0002] The LWD pressure wave transmission technology refers to uploading bottom hole signals through regular changes in mud pressure waves. The ground signal acquisition and processing system identifies and processes the pressure wave signals to obtain the real-time measurement parameters and working status of the downhole instruments.

[0003] The mud pressure wave signal is affected by many factors at the drilling site, such as mud pump performance, mud characteristics, operating well depth, mud viscosity, gas content and sensor background noise. The pressure wave signal collected by the ground acquisition and processing system is affected by many interferences such as mud pump noise. The existing solution technology is usually based on preset filter / signal processing method parameters. During on-site construction operations, operating engineers adjust parameters based on actual experience to improve signal processing effects. However, the empirical parameters are not universally applicable, resulting in a low success rate in signal recognition and poor adaptability in different operating areas. Summary of the invention

[0004] In order to overcome the defects of the above-mentioned prior art, the purpose of the present invention is to provide a method, system, terminal and medium for processing mud pressure wave signals of logging while drilling, so as to solve the technical problems that the prior art adjusts parameters according to actual experience in data processing, resulting in low signal recognition success rate and poor adaptability in different operating blocks.

[0005] The present invention is achieved through the following technical solutions:

[0006] A method for processing mud pressure wave signals for logging while drilling comprises the following steps:

[0007] Step 1: when the mud pump is turned on, the current pressure wave signal is collected, and the mud pump signal is selected as a noise sample; the frequency domain signal characteristics of the mud pump signal are obtained according to the noise sample;

[0008] Step 2, when the downhole instrument is working, select the pressure fluctuation signal as a signal sample and calculate its frequency spectrum characteristics;

[0009] Step 3, comparing and calculating the frequency domain feature points of the mud pump signal and the pressure fluctuation signal, selecting a bandpass filter or a bandstop filter according to the frequency domain feature points, and filtering out the noise frequency;

[0010] Step 4: restart the mud pump to obtain the filtered pressure wave signal, and perform decoding calculation to complete the logging while drilling mud pressure wave signal processing work.

[0011] Preferably, in step 1, the mud pump signal is a signal obtained after the pump signal becomes stable but before the instrument starts working.

[0012] Preferably, in step 1, the noise sample is subjected to Fourier transform to obtain its spectral characteristics, and the frequency domain characteristics of the mud pump signal are obtained. The specific formula is as follows:

[0013] F(ω)=∫f(t)·e^(-iωt)·dt

[0014] Where f(t) is a non-periodic function, F(ω) is the representation of the function in the frequency domain, e^(-iωt) is a complex exponential function, and ω is the angular frequency.

[0015] Preferably, in step 2, the signal sample is subjected to Fourier transform to obtain its spectral characteristics, and the specific formula for obtaining its spectral characteristics is as follows:

[0016] F(ω)=∫f(t)·e^(-iωt)·dt

[0017] Where f(t) is a non-periodic function, F(ω) is the representation of the function in the frequency domain, e^(-iωt) is a complex exponential function, and ω is the angular frequency.

[0018] Preferably, in step 3, the frequency domain feature points of the mud pump signal and the pressure fluctuation signal are compared and calculated, and a bandpass filter or a bandstop filter is selected according to the frequency domain feature points. The specific process is as follows:

[0019] During the signal filtering process, consider filtering out signals with more concentrated spectrum energy distribution. When the signal frequency band is distributed widely and the noise frequency band is distributed narrowly, a band-stop filter is selected to filter out the noise signal to obtain the pressure wave signal. Similarly, when the signal frequency band is distributed narrowly and the noise frequency band is distributed widely, a bandpass filter is selected to allow the signal frequency band to pass to obtain the pressure wave signal.

[0020] Preferably, in step 3, the signal spectrum comparison diagrams of the noise sample and the signal sample are compared, and a suitable bandpass / bandstop filter is selected to filter out the noise frequency from the original signal.

[0021] Preferably, when executing step 4, when the obtained filtering effect is not ideal or the mud pump operating parameters change, steps 1-4 are repeated, wherein the unsatisfactory filtering effect means that the mud pressure wave signal characteristics cannot be effectively restored.

[0022] A logging while drilling mud pressure wave signal processing system, comprising:

[0023] The first signal processing module is used to collect the current pressure wave signal when the mud pump is turned on, and select the mud pump signal as a noise sample; and obtain the frequency domain signal characteristics of the mud pump signal according to the noise sample;

[0024] The second signal processing module is used to select the pressure fluctuation signal as a signal sample and calculate its frequency spectrum characteristics when the downhole instrument is working;

[0025] The signal comparison module is used to compare and calculate the frequency domain feature points of the mud pump signal and the pressure fluctuation signal, select a bandpass filter or a bandstop filter according to the frequency domain feature points, and filter out the noise frequency;

[0026] The third signal processing module is used to restart the mud pump, obtain the filtered pressure wave signal, and perform decoding calculation to complete the logging while drilling mud pressure wave signal processing work.

[0027] A mobile terminal comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned method for processing mud pressure wave signals of logging while drilling are implemented.

[0028] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned method for processing mud pressure wave signals of logging while drilling are implemented.

[0029] Compared with the prior art, the present invention has the following beneficial technical effects:

[0030] The present invention provides a method for processing mud pressure wave signals for logging while drilling. The noise signal of the mud pump is collected and Fourier transformed to determine its working frequency band characteristics. At the same time, the noise signal of the mud pump is collected and Fourier transformed during the transmission of the pressure wave signal to determine the current working frequency band characteristics. Based on the comparison results of the two frequency band characteristics, a suitable filter is determined to achieve quantitative and accurate filtering of the noise signal and effectively restore the original pressure wave signal characteristics. Through the accurate analysis of the frequency band characteristics of the mud pump signal, its noise frequency band characteristics are determined, and combined with the spectral characteristics of the pressure wave signal, the pressure wave signal is restored based on the design and selection of the passband / bandstop filter; in the signal processing method, the noise filtering is performed based on the actual parameter adjustment to replace the original experience-based setting, so that engineers can quickly debug the instrument parameters based on the operating parameters, shorten the instrument debugging time, and reduce the operating cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a flow chart of the method for processing mud pressure wave signals of logging while drilling in the present invention;

[0032] Figure 2 The time domain waveform of the noise signal when designing the band-stop filter in the present invention;

[0033] Figure 3It is the time domain waveform of the pressure wave signal when the band-stop filter is designed in the present invention;

[0034] Figure 4 A comparison diagram of noise and signal frequency domain characteristics based on the design of the band-stop filter in the present invention;

[0035] Figure 5 A comparison diagram of the results before and after filtering based on the band-stop filter design in the present invention;

[0036] Figure 6 It is the time-frequency domain characteristic waveform of the noise signal designed based on the bandpass filter in the present invention;

[0037] Figure 7 It is the time-frequency domain characteristic waveform of the pressure wave signal designed based on the bandpass filter in the present invention;

[0038] Figure 8 A comparison diagram of noise and signal frequency domain characteristics based on the bandpass filter design in the present invention;

[0039] Fig. 9 A comparison diagram of the results before and after filtering based on the bandpass filter design in the present invention; DETAILED DESCRIPTION

[0040] 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.

[0041] The present invention is further described in detail below in conjunction with the accompanying drawings:

[0042] The purpose of the present invention is to provide a method, system, terminal and medium for processing mud pressure wave signals of logging while drilling, so as to solve the technical problems that the existing technology adjusts parameters according to actual experience in data processing, resulting in low signal recognition success rate and poor adaptability in different operating blocks.

[0043] The present invention is composed of a signal acquisition system and a processing system. The signal acquisition system mainly realizes the acquisition and preprocessing of the original pressure wave signal, and converts the 4-20mA analog current signal into an electrical signal identifiable by the processing system through digital processing.

[0044] The processing system is composed of a special computer and corresponding processing software. The processing software is the carrier of the processing method of the present invention. The filtering processing method of the present invention is based on a bandpass / bandstop filter.

[0045] See also Figure 1 The present invention provides a method for processing mud pressure wave signals of logging while drilling, comprising the following steps:

[0046] Step 1: when the mud pump is turned on, the current pressure wave signal is collected, and the mud pump signal is selected as a noise sample; the frequency domain signal characteristics of the mud pump signal are obtained according to the noise sample;

[0047] Specifically, the mud pump signal is a signal generated after the pump signal becomes stable but before the instrument starts working.

[0048] Specifically, the noise sample is subjected to Fourier transform to obtain its spectrum characteristics and the frequency domain characteristics of the mud pump signal are obtained. The specific formula is as follows:

[0049] F(ω)=∫f(t)·e^(-iωt)·dt

[0050] Where f(t) is a non-periodic function, F(ω) is the representation of the function in the frequency domain, e^(-iωt) is a complex exponential function, and ω is the angular frequency.

[0051] Step 2, when the downhole instrument is working, the pressure fluctuation signal is selected as a signal sample and its frequency spectrum characteristics are calculated;

[0052] Specifically, the signal sample is subjected to Fourier transform to obtain its spectrum characteristics, and the specific formula for obtaining its spectrum characteristics is as follows:

[0053] F(ω)=∫f(t)·e^(-iωt)·dt

[0054] Where f(t) is a non-periodic function, F(ω) is the representation of the function in the frequency domain, e^(-iωt) is a complex exponential function, and ω is the angular frequency.

[0055] Step 3, comparing and calculating the frequency domain feature points of the mud pump signal and the pressure fluctuation signal, selecting a bandpass filter or a bandstop filter according to the frequency domain feature points, and filtering out the noise frequency;

[0056] Specifically, the specific process is as follows:

[0057] During the signal filtering process, consider filtering out signals with more concentrated spectrum energy distribution. When the signal frequency band is distributed widely and the noise frequency band is distributed narrowly, a band-stop filter is selected to filter out the noise signal to obtain the pressure wave signal. Similarly, when the signal frequency band is distributed narrowly and the noise frequency band is distributed widely, a bandpass filter is selected to allow the signal frequency band to pass to obtain the pressure wave signal.

[0058] Specifically, when a bandpass filter or a bandstop filter is selected, the signal spectrum comparison diagrams of the noise sample and the signal sample are compared, and a suitable bandpass / bandstop filter is selected to filter out the noise frequency from the original signal.

[0059] Step 4: restart the mud pump to obtain the filtered pressure wave signal, and perform decoding calculation to complete the logging while drilling mud pressure wave signal processing work.

[0060] When executing step 4, if the obtained filtering effect is not ideal or the mud pump operating parameters change, steps 1-4 are repeated, wherein the unsatisfactory filtering effect means that the mud pressure wave signal characteristics cannot be effectively restored.

[0061] Example 1

[0062] according to Figure 2-Figure 5 As shown in the figure, the design and application of the band-stop filter, taking the 0.3s pulse width pulse signal collected from the Ying 34-X well as an example, a method for processing mud pressure wave signals while drilling logging provided by the present invention, the specific steps are as follows:

[0063] Step 1: The system works and collects a section of original mud pump noise signal;

[0064] Step 2: When the downhole instrument is working, collect a section of pressure wave signal and perform Fourier transform on the two sections of the signal to obtain its frequency domain characteristic signal and turn off the mud pump;

[0065] Step 3: By comparison, it is found that the noise frequencies of the mud pump are most concentrated at 0.87Hz, 1.04Hz, 1.30Hz, 2.61Hz, and 3.91Hz;

[0066] Step 4: Select a band-stop filter to filter out the noise frequency;

[0067] Step 5: Start the mud pump to obtain the filtered pressure wave signal, and perform subsequent decoding calculations based on the signal;

[0068] Step 6: When the decoding effect is not good or the field operation parameters change, repeat the above steps 1-5.

[0069] Example 2

[0070] according to Figure 6-Figure 9 As shown in the figure, the design and application of the bandpass filter, taking the 10 Hz continuous wave signal collected by the laboratory circulation system as an example, a method for processing the mud pressure wave signal of logging while drilling provided by the present invention, the specific steps are as follows:

[0071] Step 1: The system works and collects a section of original mud pump noise signal;

[0072] Step 2: When the downhole instrument is working, collect a section of pressure wave signal and perform Fourier transform on the two sections of the signal to obtain its frequency domain characteristic signal and turn off the mud pump;

[0073] Step 3: By comparison, it is found that the noise frequency of the mud pump is most concentrated at 0.41Hz and 0.82Hz;

[0074] Step 4: Select a bandpass filter to filter out the noise frequency;

[0075] Step 5: Start the mud pump to obtain the filtered pressure wave signal, and perform subsequent decoding calculations based on the signal;

[0076] Step 6: When the decoding effect is not good or the field operation parameters change, repeat the above steps 1-5.

[0077] The present invention also provides a logging while drilling mud pressure wave signal processing system, comprising a first signal processing module, a second signal processing module, a signal comparison module and a third signal processing module;

[0078] The first signal processing module is used to collect the current pressure wave signal when the mud pump is turned on, and select the mud pump signal as a noise sample; and obtain the frequency domain signal characteristics of the mud pump signal according to the noise sample;

[0079] The second signal processing module is used to select the pressure fluctuation signal as a signal sample and calculate its frequency spectrum characteristics when the downhole instrument is working;

[0080] The signal comparison module is used to compare and calculate the frequency domain feature points of the mud pump signal and the pressure fluctuation signal, select a bandpass filter or a bandstop filter according to the frequency domain feature points, and filter out the noise frequency;

[0081] The third signal processing module is used to restart the mud pump, obtain the filtered pressure wave signal, and perform decoding calculation to complete the logging while drilling mud pressure wave signal processing work.

[0082] The present invention also provides a mobile terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, such as a logging while drilling mud pressure wave signal processing program.

[0083] The steps of implementing the above-mentioned method for processing mud pressure wave signals while drilling logging when the processor executes the computer program include the following steps:

[0084] Step 1: when the mud pump is turned on, the current pressure wave signal is collected, and the mud pump signal is selected as a noise sample; the frequency domain signal characteristics of the mud pump signal are obtained according to the noise sample;

[0085] Step 2, when the downhole instrument is working, the pressure fluctuation signal is selected as a signal sample and its frequency spectrum characteristics are calculated;

[0086] Step 3, comparing and calculating the frequency domain feature points of the mud pump signal and the pressure fluctuation signal, selecting a bandpass filter or a bandstop filter according to the frequency domain feature points, and filtering out the noise frequency;

[0087] Step 4: restart the mud pump to obtain the filtered pressure wave signal, and perform decoding calculation to complete the logging while drilling mud pressure wave signal processing work.

[0088] Alternatively, the processor implements the functions of each module in the above system when executing the computer program, for example: the first signal processing module is used to collect the current pressure wave signal when the mud pump is turned on, and select the mud pump signal as a noise sample; obtain the frequency domain signal characteristics of the mud pump signal according to the noise sample;

[0089] The second signal processing module is used to select the pressure fluctuation signal as a signal sample and calculate its frequency spectrum characteristics when the downhole instrument is working;

[0090] The signal comparison module is used to compare and calculate the frequency domain feature points of the mud pump signal and the pressure fluctuation signal, select a bandpass filter or a bandstop filter according to the frequency domain feature points, and filter out the noise frequency;

[0091] The third signal processing module is used to restart the mud pump, obtain the filtered pressure wave signal, and perform decoding calculation to complete the logging while drilling mud pressure wave signal processing work.

[0092] Exemplarily, the computer program may be divided into one or more modules / units, and the one or more modules / units are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units may be a series of computer program instruction segments that can complete specific functions, and the instruction segments are used to describe the execution process of the computer program in the mobile terminal. For example, the computer program may be divided into a first signal processing module, a second signal processing module, a signal comparison module, and a third signal processing module;

[0093] The specific functions of each module are as follows:

[0094] The first signal processing module is used to collect the current pressure wave signal when the mud pump is turned on, and select the mud pump signal as a noise sample; and obtain the frequency domain signal characteristics of the mud pump signal according to the noise sample;

[0095] The second signal processing module is used to select the pressure fluctuation signal as a signal sample and calculate its frequency spectrum characteristics when the downhole instrument is working;

[0096] The signal comparison module is used to compare and calculate the frequency domain feature points of the mud pump signal and the pressure fluctuation signal, select a bandpass filter or a bandstop filter according to the frequency domain feature points, and filter out the noise frequency;

[0097] The third signal processing module is used to restart the mud pump, obtain the filtered pressure wave signal, and perform decoding calculation to complete the logging while drilling mud pressure wave signal processing work.

[0098] The mobile terminal may be a computing device such as a desktop computer, a notebook, a palm computer, a cloud server, etc. The mobile terminal may include, but is not limited to, a processor and a memory.

[0099] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the mobile terminal, and uses various interfaces and lines to connect various parts of the entire mobile terminal.

[0100] The memory may be used to store the computer programs and / or modules, and the processor implements various functions of the mobile terminal by running or executing the computer programs and / or modules stored in the memory and calling the data stored in the memory.

[0101] The memory may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (SmartMediaCard, SMC), a secure digital (SecureDigital, SD) card, a flash card (FlashCard), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0102] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for processing mud pressure wave signals of logging while drilling are implemented.

[0103] If the module / unit integrated in the mobile terminal 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.

[0104] Based on such understanding, the present invention implements all or part of the processes in the above method, and can also be completed by instructing related hardware through a computer program, and the computer program can be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the above-mentioned logging while drilling mud pressure wave signal processing method can be implemented. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc.

[0105] The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0106] It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media does not include electrical carrier signals and telecommunication signals.

[0107] 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 above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for processing mud pressure wave signals for logging while drilling, characterized in that: The steps include: Step 1: when the mud pump is turned on, the current pressure wave signal is collected, and the mud pump signal is selected as a noise sample; the frequency domain signal characteristics of the mud pump signal are obtained according to the noise sample; Step 2, when the downhole instrument is working, the pressure fluctuation signal is selected as a signal sample and its frequency spectrum characteristics are calculated; Step 3, comparing and calculating the frequency domain feature points of the mud pump signal and the pressure fluctuation signal, selecting a bandpass filter or a bandstop filter according to the frequency domain feature points, and filtering out the noise frequency; Step 4: restart the mud pump to obtain the filtered pressure wave signal, and perform decoding calculation to complete the logging while drilling mud pressure wave signal processing work.

2. The method for processing mud pressure wave signals for logging while drilling according to claim 1, characterized in that: In step 1, the mud pump signal is a signal obtained after the pump signal becomes stable but before the instrument starts working.

3. The method for processing mud pressure wave signals for logging while drilling according to claim 1, characterized in that: In step 1, the noise sample is subjected to Fourier transform to obtain its spectrum characteristics and the frequency domain characteristics of the mud pump signal. The specific formula is as follows: F(ω)=∫f(t)·e^(-iωt)·dt Where f(t) is a non-periodic function, F(ω) is the representation of the function in the frequency domain, e^(-iωt) is a complex exponential function, and ω is the angular frequency.

4. The method for processing mud pressure wave signals for logging while drilling according to claim 1, characterized in that: In step 2, the signal sample is subjected to Fourier transform to obtain its spectral characteristics. The specific formula for obtaining its spectral characteristics is as follows: F(ω)=∫f(t)·e^(-iωt)·dt Where f(t) is a non-periodic function, F(ω) is the representation of the function in the frequency domain, e^(-iωt) is a complex exponential function, and ω is the angular frequency.

5. The method for processing mud pressure wave signals for logging while drilling according to claim 1, characterized in that: In step 3, the frequency domain feature points of the mud pump signal and the pressure fluctuation signal are compared and calculated, and a bandpass filter or a bandstop filter is selected according to the frequency domain feature points. The specific process is as follows: During the signal filtering process, consider filtering out signals with more concentrated spectrum energy distribution. When the signal frequency band is distributed widely and the noise frequency band is distributed narrowly, a band-stop filter is selected to filter out the noise signal to obtain the pressure wave signal. Similarly, when the signal frequency band is distributed narrowly and the noise frequency band is distributed widely, a bandpass filter is selected to allow the signal frequency band to pass to obtain the pressure wave signal.

6. The method for processing mud pressure wave signals for logging while drilling according to claim 1, characterized in that: In step 3, the signal spectrum comparison diagrams of the noise sample and the signal sample are compared, and a suitable bandpass / bandstop filter is selected to filter out the noise frequency from the original signal.

7. The method for processing mud pressure wave signals for logging while drilling according to claim 1, characterized in that: When executing step 4, if the obtained filtering effect is not ideal or the mud pump operation parameters change, steps 1-4 are repeated, wherein the unsatisfactory filtering effect means that the mud pressure wave signal characteristics cannot be effectively restored.

8. A logging while drilling mud pressure wave signal processing system, characterized in that: include: The first signal processing module is used to collect the current pressure wave signal when the mud pump is turned on, and select the mud pump signal as a noise sample; Obtaining frequency domain signal characteristics of the mud pump signal according to the noise sample; The second signal processing module is used to select the pressure fluctuation signal as a signal sample and calculate its frequency spectrum characteristics when the downhole instrument is working; The signal comparison module is used to compare and calculate the frequency domain feature points of the mud pump signal and the pressure fluctuation signal, select a bandpass filter or a bandstop filter according to the frequency domain feature points, and filter out the noise frequency; The third signal processing module is used to restart the mud pump, obtain the filtered pressure wave signal, and perform decoding calculation to complete the logging while drilling mud pressure wave signal processing work.

9. A mobile terminal comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method for processing mud pressure wave signals of logging while drilling as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of a method for processing mud pressure wave signals for logging while drilling as described in any one of claims 1 to 7 are implemented.

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