A method and apparatus for monitoring the emulsion breaking voltage of oil-based mud

Abstract

The application provides a method and device for monitoring oil-based mud demulsification voltage. The method comprises the following steps: obtaining an electro-hydraulic parameter of an oil-based mud to be measured; inputting the electro-hydraulic parameter into an oil-based mud dielectric strength prediction model to obtain a corresponding dielectric strength of the oil-based mud to be measured through the model; applying an initial voltage to the oil-based mud to be measured and monitoring the current of the oil-based mud to be measured; gradually increasing the applied voltage of the oil-based mud to be measured from the initial voltage until the current of the oil-based mud to be measured reaches a demulsification corresponding current; obtaining a demulsification voltage corresponding to the demulsification of the oil-based mud to be measured; and demulsifying the oil-based mud by using the demulsification voltage. The method provided by the application improves the efficiency of identifying the demulsification voltage and the accuracy of identifying the oil-based mud demulsification voltage.

Description

Technical Field

[0001] This invention relates to the field of oil-based mud characteristic detection technology, and in particular to a method and apparatus for monitoring the demulsification voltage of oil-based mud. Background Technology

[0002] Emulsions are mixtures of oil and water that exist in a relatively stable emulsion form when unaffected by external forces. When an electric current is applied to an emulsion to a voltage sufficient for demulsification, its stability is disrupted, achieving oil-water separation. Oil-based drilling mud is a common type of emulsion and is frequently used in shale gas drilling equipment.

[0003] Determining the demulsification voltage of oil-based drilling mud is crucial for ensuring emulsion stability under bottomhole conditions. However, the demulsification voltage of oil-based drilling mud cannot be accurately determined at present. Excessively high demulsification voltage may cause safety accidents, while excessively low voltage may disrupt normal drilling operations.

[0004] Therefore, there is an urgent need for a method that can accurately and efficiently monitor the demulsification voltage of oil-based mud. Summary of the Invention

[0005] This invention provides a method and apparatus for monitoring the demulsification voltage of oil-based mud, thereby overcoming the shortcomings of existing technologies that cannot accurately and efficiently monitor the demulsification voltage of oil-based mud.

[0006] This invention provides a method for monitoring the demulsification voltage of oil-based mud, comprising:

[0007] Obtain the electrohydraulic parameters of the oil-based mud to be tested;

[0008] The electro-hydraulic parameters are input into the oil-based mud dielectric strength prediction model, and the dielectric strength of the oil-based mud to be tested is predicted by the model.

[0009] An initial voltage is applied to the oil-based mud to be tested, while the current of the oil-based mud is monitored; the magnitude of the initial voltage is equal to the voltage corresponding to the dielectric strength of the oil-based mud.

[0010] Starting from the initial voltage, the applied voltage of the oil-based mud to be tested is gradually increased until the current of the oil-based mud to be tested reaches the current corresponding to demulsification.

[0011] Obtain the demulsification voltage corresponding to the current reaching the demulsification point in the oil-based mud to be tested;

[0012] The oil-based mud is demulsified using the aforementioned demulsification voltage.

[0013] According to the present invention, a method for monitoring the demulsification voltage of oil-based mud is provided, wherein the electrohydraulic parameters of the oil-based mud include: ionization energy, polarizability, and affinity energy.

[0014] According to the present invention, a method for monitoring the demulsification voltage of oil-based mud is provided, wherein the construction of the oil-based mud dielectric strength prediction model includes:

[0015] Obtain the electrohydraulic parameters of oil-based mud molecules and the corresponding dielectric strength of oil-based mud;

[0016] The oil-based mud dielectric strength prediction model is obtained by training the model with the electrohydraulic parameters of the oil-based mud as input and the dielectric strength of the corresponding oil-based mud as output.

[0017] The dielectric strength prediction model for oil-based mud is a generalized regression neural network model based on GRNN.

[0018] According to the present invention, a method for monitoring the demulsification voltage of oil-based mud is provided, wherein the current monitoring of the oil-based mud under test is implemented based on the MP algorithm of sparse decomposition;

[0019] The MP algorithm based on sparse decomposition includes: decomposing the current signal into atoms at the microscopic level, and using the replaced atoms to form a linear sum to determine the current signal of the oil-based mud to be tested.

[0020] According to the present invention, a method for monitoring the demulsification voltage of oil-based mud, wherein the applied voltage of the oil-based mud to be tested is gradually increased from the initial voltage as a starting point until the current of the oil-based mud to be tested reaches the current corresponding to demulsification includes:

[0021] Starting from the initial voltage, the applied voltage of the oil-based mud to be tested is gradually increased at a gradient of 0.1V until the current of the oil-based mud to be tested reaches the current corresponding to demulsification.

[0022] The present invention also provides a device for monitoring the demulsification voltage of oil-based mud, comprising:

[0023] Acquisition unit, used to acquire the electrohydraulic parameters of the oil-based mud to be tested;

[0024] The prediction unit is used to input the electro-hydraulic parameters into the dielectric strength prediction model of oil-based mud, and predict the dielectric strength of the oil-based mud to be tested through the model.

[0025] The processing unit is used to apply an initial voltage to the oil-based mud to be tested, while monitoring the current of the oil-based mud to be tested; the magnitude of the initial voltage is equal to the voltage corresponding to the dielectric strength of the oil-based mud.

[0026] The processing unit is also used to gradually increase the applied voltage of the oil-based mud to be tested, starting from the initial voltage, until the current of the oil-based mud to be tested reaches the current corresponding to demulsification.

[0027] The acquisition unit is also used to acquire the demulsification voltage corresponding to the current of the oil-based mud to be tested reaching the demulsification level.

[0028] A demulsification unit is used to demulsify oil-based mud at the demulsification voltage.

[0029] The present invention also provides an electronic device, 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 method for monitoring the demulsification voltage of oil-based mud as described above.

[0030] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for monitoring the demulsification voltage of oil-based mud as described above.

[0031] The present invention provides a method and apparatus for monitoring the demulsification voltage of oil-based mud. The method for monitoring the demulsification voltage of oil-based mud, on the one hand, improves the efficiency of identifying the demulsification voltage by using the voltage corresponding to the dielectric strength as the initial voltage; on the other hand, it improves the accuracy of identifying the demulsification voltage of oil-based mud by monitoring the magnitude of the current corresponding to the oil-based mud. Attached Figure Description

[0032] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0033] Figure 1 This is a structural diagram of the oil-based mud monitoring system provided by the present invention;

[0034] Figure 2 This is a flowchart of the method for monitoring the demulsification voltage of oil-based mud according to the present invention;

[0035] Figure 3 A comparison chart showing the conventional identification of voltage and current curves during the demulsification process of oil-based mud according to the present invention and the identification method of the present invention.

[0036] Figure 4 A schematic diagram of the device for monitoring the demulsification voltage of oil-based mud provided by the present invention;

[0037] Figure 5 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0038] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0039] When oil-based drilling mud reaches its demulsification voltage, it also reaches its breakdown voltage, causing a destructive discharge within the insulation, resulting in a decrease in insulation resistance and a sudden increase in current. The principle of this invention for monitoring the demulsification voltage of oil-based drilling mud lies in the fact that when the oil-based drilling mud reaches its demulsification voltage, the corresponding current in the oil-based drilling mud will increase instantaneously. When a sudden increase in the current of the oil-based drilling mud is detected, it indicates that the voltage applied to the oil-based drilling mud has reached the demulsification state. However, when monitoring the current of oil-based drilling mud, conventional methods suffer from inaccurate current monitoring and recognition lag due to external factors such as noise. Therefore, this invention also provides an MP algorithm based on sparse decomposition to accurately monitor the magnitude of the current in oil-based drilling mud.

[0040] Figure 1 The structural diagram of the oil-based mud monitoring system provided by this invention is shown below. Figure 1 As shown, the instruments used in this invention to achieve demulsification of oil-based mud include: a computer, an oscilloscope, a power supply, a voltage regulator, and electrodes.

[0041] Figure 2 This is a flowchart of the method for monitoring the demulsification voltage of oil-based mud according to the present invention, as shown below. Figure 2 As shown, the method includes:

[0042] Step 201: Obtain the electrohydraulic parameters of the oil-based mud to be tested.

[0043] Specifically, the electrohydraulic parameters of oil-based drilling mud mainly include ionization energy, polarizability, and affinity.

[0044] Step 202: Input the electro-hydraulic parameters into the oil-based mud dielectric strength prediction model, and use the model to predict the dielectric strength of the oil-based mud to be tested.

[0045] The following section will first introduce how to construct a predictive model for the dielectric strength of oil-based mud.

[0046] The method for constructing the oil-based mud dielectric strength prediction model includes:

[0047] The electrohydraulic parameters of oil-based mud molecules and the dielectric strength of the corresponding oil-based mud are obtained; the model is trained based on the electrohydraulic parameters of the oil-based mud as input and the dielectric strength of the corresponding oil-based mud as output, to obtain a trained oil-based mud dielectric strength prediction model; the oil-based mud dielectric strength prediction model is a generalized regression neural network model based on GRNN.

[0048] Specifically, based on the density functional theory principle, the electrohydraulic parameters of oil-based mud molecules were calculated; the accuracy of the electrohydraulic parameters of oil-based mud molecules was determined; neural network modeling was trained using the electrohydraulic parameters and relative permittivity test results of oil-based mud molecules as sample data; the predicted data and experimental data were compared, and their accuracy and feasibility were analyzed.

[0049] This invention inputs the electrohydraulic parameters of the oil-based mud to be tested into a trained oil-based mud dielectric strength prediction model to predict the dielectric strength of the oil-based mud. Then, the dielectric strength is used to determine the approximate range of the demulsification voltage of the oil-based mud. A voltage equal to the dielectric strength is then applied to the oil-based mud, and the voltage is gradually increased until the monitored current of the oil-based mud reaches the current corresponding to demulsification, thereby monitoring the demulsification voltage of the oil-based mud.

[0050] At the start of demulsification, a specific waveform, frequency, and volt value are generated by the power supply, and then amplified by the voltage amplifier to apply a non-uniform high-intensity electric field to the oil-based mud to carry out demulsification.

[0051] The method for monitoring the demulsification voltage of oil-based mud provided by this invention first obtains the dielectric strength of the oil-based mud to be tested using an oil-based mud dielectric strength prediction model. This method not only has high efficiency in obtaining dielectric strength but also high accuracy. Then, the obtained dielectric strength is used as the initial voltage for monitoring the demulsification voltage of the oil-based mud, thereby avoiding the method of starting the measurement of the demulsification voltage of oil-based mud from a smaller initial applied voltage. Therefore, the measurement cycle is reduced, and the efficiency of measuring the demulsification voltage of oil-based mud is improved.

[0052] Step 203: Apply an initial voltage to the oil-based mud to be tested, and monitor the current of the oil-based mud to be tested; the magnitude of the initial voltage is equal to the voltage corresponding to the dielectric strength of the oil-based mud;

[0053] Step 204: Starting from the initial voltage, gradually increase the applied voltage of the oil-based mud to be tested until the current of the oil-based mud to be tested reaches the current corresponding to demulsification.

[0054] Figure 3 This is a comparison chart of conventional and present invention-based voltage-current curve identification during the demulsification process of oil-based mud; the present invention uses current feature identification, from... Figure 3It can be seen that when the voltage of the oil-based mud under test reaches the demulsification voltage, the corresponding circuit of the oil-based mud under test will increase sharply. The reason for this sharp increase is that when the oil-based mud reaches the demulsification voltage, a destructive discharge occurs inside the insulation, the insulation resistance decreases, and the current increases.

[0055] Since the dielectric strength of the oil-based mud has been predicted, a voltage close to the dielectric strength can be applied directly to the oil-based mud through the electrodes at the beginning of demulsification to reach the critical value of the breakdown voltage. Then, through a voltage regulator, the voltage corresponding to the dielectric strength is used as the initial voltage, with a slope of 0.1V. For every 0.1V increase in voltage, the current of the oil-based mud is detected until the current of the oil-based mud begins to rise sharply, indicating that the corresponding voltage has reached the demulsification voltage of the oil-based mud.

[0056] The method for monitoring the demulsification voltage of oil-based mud provided by the present invention monitors the demulsification voltage of oil-based mud by using the voltage corresponding to the dielectric strength as the initial voltage, and by using a slope of 0.1V, and detecting the current corresponding to the oil-based mud for every 0.1V increase in voltage, thereby improving the accuracy of identifying the demulsification voltage.

[0057] Step 205: Obtain the demulsification voltage corresponding to the current of the oil-based mud to be tested reaching the demulsification point.

[0058] Step 206: Demulsify the oil-based mud using the demulsification voltage.

[0059] The method for monitoring the demulsification voltage of oil-based mud provided by the present invention improves the efficiency of identifying the demulsification voltage by using the voltage corresponding to the dielectric strength as the initial voltage; and improves the accuracy of identifying the demulsification voltage of oil-based mud by monitoring the magnitude of the current corresponding to the oil-based mud.

[0060] Furthermore, the current monitoring of the oil-based mud under test is implemented based on the MP algorithm of sparse decomposition; the MP algorithm based on sparse decomposition includes: decomposing the current signal into atoms at the microscopic level, and using the replaced atoms to form a linear sum to determine the current signal of the oil-based mud under test.

[0061] Specifically, during the demulsification process, a computer connected to an oscilloscope is used for real-time monitoring. This invention improves the ability to identify the current signal characteristics of the oil-based mud under test by introducing the MP algorithm based on sparse decomposition.

[0062] The basic principle of the MP algorithm is as follows: Select an atom (equivalent to a column vector) from the dictionary matrix D that best matches the signal x, establish a sparse approximation, calculate the signal residual, and then continue to select the atom that best matches the signal residual, iterating repeatedly. Clearly, the signal x is a linear combination of these atoms, and its representation only requires adding the final residual value. Obviously, as long as the residual value is small enough, the signal x can linearly represent these atoms. In other words, it decomposes the current signal into atoms at a microscopic level, and uses the replaced atoms to form a linear sum, thereby accurately judging the changes and fluctuations of the current signal.

[0063] The algorithm flow is as follows:

[0064] A dictionary of atom normalization uses Φ = {φ} k} represents x, which represents a signal.

[0065] (1) First, initialize the residual signal e0 to x.

[0066] (2) Find the atom in the dictionary with the largest absolute value of the inner product with e0, and represent it as the absolute value of the largest inner product, denoted as φ1;

[0067] (3) Subtract e0 from its orthogonal projection in the φ1 space to obtain the residual e1;

[0068] e1 = e0 -<e0,φ1> φ1

[0069] in<e0,φ1> Let Φ represent the inner product of e0 and φ1. Φ is an atom-normalized dictionary, and φ1 is a unit column vector. Therefore, the orthogonal projection of e0 onto the φ1 space is expressed as:<e0,φ1> If φ1 is not a unit column vector, then the orthogonal projection components of e0 onto the space φ1 are:<e0,φ1> φ1 / (φ1 T φ1), T represents transpose.

[0070] (4) Repeat steps (2) and (3) on the residual;

[0071] e m+1 =e m - <e m ,φ m+1 >φ m+1

[0072] Where φ m+1 From the dictionary with e m The atom with the largest absolute value of its inner product.

[0073] (5) Stop the algorithm when the current signal is about to change drastically.

[0074] Furthermore, since the noise signal has no replaceable atoms, the algorithm can also achieve noise reduction, thus improving the accuracy of current signal feature recognition.

[0075] In reality, current signal identification can be inaccurate, delayed, or even erroneous due to the unstable properties of oil-based mud, noise interference, and current fluctuations. This invention, however, uses the MP algorithm based on sparse decomposition to identify current signals in oil-based mud. This algorithm decomposes the current signal at a microscopic level, significantly improving the accuracy of current signal identification in oil-based mud, achieving both speed and accuracy. Figure 3 As can be seen, the method provided by this invention can improve the accuracy of identifying oil-based mud current signals.

[0076] The apparatus for monitoring the demulsification voltage of oil-based mud provided by the present invention will be described below. The apparatus for monitoring the demulsification voltage of oil-based mud described below can be referred to in correspondence with the method for monitoring the demulsification voltage of oil-based mud described above.

[0077] Figure 4 This is a schematic diagram of the device for monitoring the demulsification voltage of oil-based mud provided by the present invention, as shown in the figure. Figure 4 As shown, it includes:

[0078] Acquisition unit 401 is used to acquire the electrohydraulic parameters of the oil-based mud to be tested;

[0079] Prediction unit 402 is used to input the electro-hydraulic parameters into the dielectric strength prediction model of oil-based mud, and predict the dielectric strength of the oil-based mud to be tested through the model.

[0080] The processing unit 403 is used to apply an initial voltage to the oil-based mud to be tested, while monitoring the current of the oil-based mud to be tested; the magnitude of the initial voltage is equal to the voltage corresponding to the dielectric strength of the oil-based mud.

[0081] The processing unit 403 is also used to gradually increase the applied voltage of the oil-based mud to be tested, starting from the initial voltage, until the current of the oil-based mud to be tested reaches the current corresponding to demulsification.

[0082] The acquisition unit 401 is also used to acquire the demulsification voltage corresponding to the current of the oil-based mud to be tested when the current reaches the demulsification.

[0083] Demulsification unit 404 is used to demulsify oil-based mud with the said demulsification voltage.

[0084] Figure 5 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 5As shown, the electronic device may include: a processor 510, a communication interface 520, a memory 530, and a communication bus 540, wherein the processor 510, the communication interface 520, and the memory 530 communicate with each other through the communication bus 540. The processor 510 can call logical instructions in the memory 530 to execute a method for monitoring the demulsification voltage of oil-based mud, the method including: acquiring the electrohydraulic parameters of the oil-based mud to be tested;

[0085] The electro-hydraulic parameters are input into the oil-based mud dielectric strength prediction model, and the dielectric strength of the oil-based mud to be tested is predicted by the model.

[0086] An initial voltage is applied to the oil-based mud to be tested, while the current of the oil-based mud is monitored; the magnitude of the initial voltage is equal to the voltage corresponding to the dielectric strength of the oil-based mud.

[0087] Starting from the initial voltage, the applied voltage of the oil-based mud to be tested is gradually increased until the current of the oil-based mud to be tested reaches the current corresponding to demulsification.

[0088] Obtain the demulsification voltage corresponding to the current reaching the demulsification point in the oil-based mud to be tested;

[0089] The oil-based mud is demulsified using the aforementioned demulsification voltage.

[0090] Furthermore, the logical instructions in the aforementioned memory 530 can be implemented as software functional units and, when sold or used as independent products, 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 a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0091] On the other hand, the present invention also provides a computer program product, the computer program product including a computer program that can be stored on a non-transitory computer-readable storage medium, and when the computer program is executed by a processor, the computer is able to execute the methods for monitoring the demulsification voltage of oil-based mud provided by the above methods.

[0092] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for monitoring the demulsification voltage of oil-based mud provided by the methods described above.

[0093] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0094] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0095] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for monitoring the demulsification voltage of oil-based mud, characterized in that, include: Obtain the electrohydraulic parameters of the oil-based mud to be tested; The electro-hydraulic parameters are input into the oil-based mud dielectric strength prediction model, and the dielectric strength of the oil-based mud to be tested is predicted by the model. An initial voltage is applied to the oil-based mud to be tested, while the current of the oil-based mud is monitored; the magnitude of the initial voltage is equal to the voltage corresponding to the dielectric strength of the oil-based mud. Starting from the initial voltage, the applied voltage of the oil-based mud to be tested is gradually increased until the current of the oil-based mud to be tested reaches the current corresponding to demulsification. Obtain the demulsification voltage corresponding to the current reaching the demulsification point in the oil-based mud to be tested; The oil-based drilling mud is demulsified using the aforementioned demulsification voltage; The electrohydraulic parameters of the oil-based mud include: ionization energy, polarizability, and affinity. The construction of the oil-based mud dielectric strength prediction model includes: Obtain the electrohydraulic parameters of oil-based mud molecules and the corresponding dielectric strength of oil-based mud; The oil-based mud dielectric strength prediction model is obtained by training the model with the electrohydraulic parameters of the oil-based mud as input and the dielectric strength of the corresponding oil-based mud as output. The dielectric strength prediction model for oil-based mud is a generalized regression neural network model based on GRNN; The current monitoring of the oil-based mud under test is implemented based on the MP algorithm of sparse decomposition; The MP algorithm based on sparse decomposition includes: decomposing the current signal into atoms at the microscopic level, and using the replaced atoms to form a linear sum to determine the current signal of the oil-based mud to be tested. The step of gradually increasing the applied voltage of the oil-based mud under test, starting from the initial voltage, until the current of the oil-based mud under test reaches the current corresponding to demulsification includes: Starting from the initial voltage, the applied voltage of the oil-based mud to be tested is gradually increased at a gradient of 0.1V until the current of the oil-based mud to be tested reaches the current corresponding to demulsification.

2. An apparatus for performing the method for monitoring the demulsification voltage of oil-based mud as described in claim 1, characterized in that, include: Acquisition unit, used to acquire the electrohydraulic parameters of the oil-based mud to be tested; The prediction unit is used to input the electro-hydraulic parameters into the dielectric strength prediction model of oil-based mud, and predict the dielectric strength of the oil-based mud to be tested through the model. The processing unit is used to apply an initial voltage to the oil-based mud to be tested, while monitoring the current of the oil-based mud to be tested; the magnitude of the initial voltage is equal to the voltage corresponding to the dielectric strength of the oil-based mud. The processing unit is also used to gradually increase the applied voltage of the oil-based mud to be tested, starting from the initial voltage, until the current of the oil-based mud to be tested reaches the current corresponding to demulsification. The acquisition unit is also used to acquire the demulsification voltage corresponding to the current of the oil-based mud to be tested reaching the demulsification level. A demulsification unit is used to demulsify oil-based mud at the demulsification voltage.

3. An electronic device, 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 program, it implements the method for monitoring the demulsification voltage of oil-based mud as described in claim 1.

4. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the method for monitoring the demulsification voltage of oil-based mud as described in claim 1.

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