Intelligent acoustic-electric integrated system and method for permeability enhancement, production stimulation and efficiency improvement of wellbores

Abstract

An intelligent acoustic-electric integrated system for permeability enhancement, production stimulation and efficiency improvement of wellbores, comprising: an ultrasonic generator (100), configured t

Description

Currently, the extraction of many early oil and gas fields has entered the middle and late stages, with reserves of oil and gas resources gradually diminishing, and the cost and difficulty of extraction increasingly rising. To increase the production of oil and gas resources, measures such as water shutoff technology, mixed gas huff and puff technology, acidizing technology, infill perforation technology, and chemical sand control technology are commonly adopted. However, the effect of a single production stimulation measure is relatively poor, and these conventional technologies such as hydraulic fracturing and chemical stimulation face problems such as high cost and low efficiency. Among the relevant technologies, although ultrasonic and electromagnetic field technologies have shown promising application prospects in oil and gas field stimulation, the application effect of a single technology remains limited. Although conventional oil and gas field stimulation technologies have increased oil and gas production to some extent, their application still has some notable drawbacks: (1) high cost: hydraulic fracturing and chemical stimulation technologies require a large amount of equipment and chemical reagents, resulting in persistently high extraction costs; (2) low efficiency: with the progression of oil and gas field extraction, formation conditions become more complex, and the stimulation effect of conventional methods gradually declines, making it difficult to meet the demand for efficient extraction; and (3) environmental pollution: the use of chemical reagents, along with the large amount of wastewater and chemical residues generated during hydraulic fracturing, poses potential threats to groundwater resources and the environment. SUMMARY The present application provides an intelligent acoustic-electric integrated system and method for permeability enhancement, production stimulation and efficiency improvement of wellbores, to solve the problems of high cost, low efficiency, and environmental pollution faced in oil and gas field stimulation. In a first aspect, embodiments of the present application provide an intelligent acoustic-electric integrated system for permeability enhancement, production stimulation and efficiency improvement of wellbores, including: an ultrasonic generator, configured to generate an ultrasonic wave meeting a preset frequency and power condition; a transient electromagnetic field generator, configured to generate a transient electromagnetic field corresponding to the ultrasonic wave; a data monitoring module, configured to monitor an environmental change in a wellbore to generate monitored data of the wellbore; and a control module, configured to generate a parameter combination meeting a preset optimal working condition based on the monitored data, adjust a pulse mode of the ultrasonic generator based on the parameter combination, and adjust working parameters of the ultrasonic wave and the transient electromagnetic field based on the pulse mode and the monitored data to obtain a wellbore acoustic-electric coupling result meeting a preset optimal condition. Optionally, in one embodiment of the present application, the working parameters include at least one of a frequency, a power and a waveform of the ultrasonic wave, and intensity, a pulse sequence and duration of the transient electromagnetic field. Optionally, in one embodiment of the present application, the data monitoring module includes: an acquisition unit, configured to acquire at least one geological condition among rock hardness, porosity, and water content, and at least one piece of monitored data among pressure, temperature, and fluid characteristics in the wellbore; and a data generation unit, configured to obtain the monitored data of the wellbore based on the at least one geological condition and the at least one piece of monitored data. Optionally, in one embodiment of the present application, the control module includes: a generation unit, configured to fit and optimize an evaluation model parameter for interaction between the ultrasonic wave and the transient electromagnetic field based on the monitored data to obtain an optimized result; and an iteration unit, configured to perform iterations of fitness calculation, selection, crossover, and mutation operations on the optimized result until a preset iteration termination condition is met, to obtain the parameter combination meeting the preset optimal working condition. Optionally, in one embodiment of the present application, the control module further includes: an optimization unit, configured to adjust the ultrasonic wave to a continuous wave or a pulsed wave based on the pulse mode and the monitored data; and a response unit, configured to respond to a data change in the wellbore by using the continuous wave or the pulsed wave and obtain the wellbore acoustic-electric coupling result meeting the preset optimal condition based on the data change. In a second aspect, embodiments of the present application provide an intelligent acoustic-electric integrated method for permeability enhancement, production stimulation and efficiency improvement of wellbores, including: generating an ultrasonic wave meeting a preset frequency and power condition; generating a transient electromagnetic field corresponding to the ultrasonic wave; monitoring an environmental change in a wellbore to generate monitored data of the wellbore; and generating a parameter combination meeting a preset optimal working condition based on the monitored data, adjusting a pulse mode of the ultrasonic generator based on the parameter combination, and adjusting working parameters of the ultrasonic wave and the transient electromagnetic field based on the pulse mode and the monitored data to obtain a wellbore acoustic-electric coupling result meeting a preset optimal condition. Optionally, in one embodiment of the present application, the working parameters include at least one of a frequency, a power and a waveform of the ultrasonic wave, and an intensity, a pulse sequence and a duration of the transient electromagnetic field. Optionally, in one embodiment of the present application, the monitoring an environmental change in a wellbore to generate monitored data of the wellbore includes: acquiring at least one geological condition among rock hardness, porosity, and water content, and at least one piece of monitored data among pressure, temperature, and fluid characteristics in the wellbore; and obtaining the monitored data of the wellbore based on the at least one geological condition and the at least one piece of monitored data. Optionally, in one embodiment of the present application, the generating a parameter combination meeting a preset optimal working condition based on the monitored data includes: fitting and optimizing an evaluation model parameter for interaction between the ultrasonic wave and the transient electromagnetic field based on the monitored data to obtain an optimized result; and performing iterations of fitness calculation, selection, crossover, and mutation operations on the optimized result until a preset iteration termination condition is met, to obtain the parameter combination meeting the preset optimal working condition. Optionally, in one embodiment of the present application, the adjusting working parameters of the ultrasonic wave and the transient electromagnetic field based on the pulse mode and the monitored data to obtain a wellbore acoustic-electric coupling result meeting a preset optimal condition includes: adjusting the ultrasonic wave to a continuous wave or a pulsed wave based on the pulse mode and the monitored data; and responding to a data change in the wellbore by using the continuous wave or the pulsed wave, and obtaining the wellbore acoustic-electric coupling result meeting the preset optimal condition based on the data change. In a third aspect, embodiments of the present application provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable in the processor, where the processor executes the program to implement the intelligent acoustic-electric integrated method for permeability enhancement, production stimulation and efficiency improvement of wellbores as described in the above embodiments. In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, storing a computer program thereon, where the program is executed by a processor to implement the intelligent acoustic-electric integrated method for permeability enhancement, production stimulation and efficiency improvement of wellbores as above. In a fifth aspect, embodiments of the present application provide a computer program product, storing a computer program, where the program is executed by a processor to implement the intelligent acoustic-electric integrated method for permeability enhancement, production stimulation and efficiency improvement of wellbores as above. In the embodiments of the present application, through the acoustic-electric coupling resonance effect formed by the synergistic action of the ultrasonic wave and the transient electromagnetic field, the electromagnetic properties of blocking impurities in fractures are changed using the physical vibration effect of the high-frequency ultrasonic wave and the electromagnetic field technology to enhance pore permeability, thereby significantly improving the extraction efficiency of oil and gas fields. Thus, the problems of high cost, low efficiency, and environmental pollution faced in oil and gas field stimulation are solved. The additional aspects and advantages of the present application will be partially given in the description below, and part of them will become apparent from the description below or will be learned from the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS The above and / or additional aspects and advantages of the present application will become apparent and readily understood from the following description of the embodiments with reference to the drawings, in which: FIG. 1 is a schematic structural diagram of an intelligent acoustic-electric integrated system for permeability enhancement, production stimulation and efficiency improvement of wellbores according to the embodiments of the present application; FIG. 2 is another schematic structural diagram of an intelligent acoustic-electric integrated system for permeability enhancement, production stimulation and efficiency improvement of wellbores according to the embodiments of the present application; FIG. 3 is a flowchart of an intelligent acoustic-electric integrated system for permeability enhancement, production stimulation and efficiency improvement of wellbores according to one embodiment of the present application; FIG. 4 is a flowchart of an optimization algorithm for an intelligent acoustic-electric integrated system for permeability enhancement, production stimulation and efficiency improvement of wellbores according to one embodiment of the present application; FIG. 5 is a flowchart of an intelligent acoustic-electric integrated method for permeability enhancement, production stimulation and efficiency improvement of wellbores according to the embodiments of the present application; and FIG. 6 is a schematic structural diagram of an electronic device according to the embodiments of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS Embodiments of the present application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, in which the same or similar reference numerals represent the same or similar elements or elements with the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and only intended to explain the present application, and cannot be construed as a limitation on the present application. The intelligent acoustic-electric integrated system and method for permeability enhancement, production stimulation and efficiency improvement of wellbores in the embodiments of the present application are described below with reference to the drawings. In view of the problems of high cost, low efficiency, and environmental pollution faced in oil and gas field stimulation as mentioned in the related technologies of the background, the present application provides an intelligent acoustic-electric integrated system for permeability enhancement, production stimulation and efficiency improvement of wellbores. In this system, through the acoustic-electric coupling resonance effect formed by the synergistic action of the ultrasonic wave and the transient electromagnetic field, the electromagnetic properties of blocking impurities in fractures are changed using the physical vibration effect of the high-frequency ultrasonic wave and the electromagnetic field technology to enhance pore permeability, thereby solving the problems of high cost, low efficiency, and environmental pollution faced in oil and gas field stimulation. Specifically, FIG. 1 and FIG. 2 are schematic structural diagrams of an intelligent acoustic-electric integrated system for permeability enhancement, production stimulation and efficiency improvement of wellbores provided in the embodiments of the present application. As shown in FIG. 1, the intelligent acoustic-electric integrated system 10 for permeability enhancement, production stimulation and efficiency improvement of wellbores includes an ultrasonic generator 100, a transient electromagnetic field generator 200, a data monitoring module 300, and a control module 400. As shown in FIG. 2, the ultrasonic generator 100 and the transient electromagnetic field generator 200 are embedded inside the system, and are controlled by the control module 400 for switching and adjustment. The data monitoring module 300 provides data support by accessing logging data. Specifically, the ultrasonic generator 100 is configured to generate an ultrasonic wave meeting a preset frequency and power condition. It can be understood that the ultrasonic generator 100 in the embodiments of the present application is configured to generate an ultrasonic wave with adjustable frequency and power, and the ultrasonic wave can be adjusted to a continuous wave or a pulsed wave to adapt to different geological conditions. The ultrasonic wave emitted by the ultrasonic generator 100 is a mechanical wave with a higher frequency than a human hearing range, possessing excellent penetrability and energy transmission characteristics. The preset frequency and power condition in the embodiments of the present application may be a condition that allows adjustment of frequency and power. During actual implementation, the ultrasonic generator 100 in the embodiments of the present application is configured to generate an ultrasonic wave with adjustable frequency and power, and the ultrasonic wave can be adjusted to a continuous wave or a pulsed wave to adapt to different geological conditions. In oil and gas field extraction, the ultrasonic wave generated by the ultrasonic generator 100 can form a micro-vibration in an oil reservoir to weaken intermolecular forces of crude oil, thereby reducing crude oil viscosity, and promoting oil flow; and the high-power ultrasonic wave can also break up micro-fractures in a rock formation, thereby enhancing formation permeability, and improving flow channels. Thus, the problems of high cost, low efficiency, and environmental pollution faced in oil and gas field stimulation are solved. The ultrasonic generator 100 is designed to generate an ultrasonic wave with specific frequency and power, with a frequency range from 20 kHz to 2 MHz and an adjustable power range from 100 W to 10 kW, and the ultrasonic wave can be adjusted to a continuous wave or a pulsed wave to meet the requirements of different geological conditions. The ultrasonic wave generated by the ultrasonic generator 100 can form a micro-vibration around a wellbore, thereby reducing the viscosity of the crude oil in the oil reservoir, and facilitating oil release and flow. It should be noted that the preset frequency and power condition may be set by those skilled in the art according to actual circumstances, and is not specifically limited herein. The transient electromagnetic field generator 200 is configured to generate a transient electromagnetic field corresponding to the ultrasonic wave. It can be understood that the transient electromagnetic field generator 200 in the embodiments of the present application is equipped with an efficient electromagnetic coil, and can generate a transient electromagnetic field that matches the frequency of the ultrasonic generator 100. As a possible implementation, the transient electromagnetic field generator 200 in the embodiments of the present application is configured to generate a transient electromagnetic field that matches the ultrasonic wave, where the transient electromagnetic field interacts with the physical vibration generated by the ultrasonic wave to form an acoustic-electric coupling resonance effect, thereby enhancing fracture permeability. Thus, the problems of high cost, low efficiency, and environmental pollution faced in oil and gas field stimulation are solved. The data monitoring module 300 is configured to monitor an environmental change in a wellbore to generate monitored data of the wellbore. During actual implementation, the data monitoring module 300 in the embodiments of the present application can monitor key parameters such as pressure, temperature, and fluid characteristics in the wellbore in real time, thereby providing necessary data support for evaluating and optimizing the permeability enhancement effect. Optionally, in one embodiment of the present application, the data monitoring module 300 includes: an acquisition unit, configured to acquire at least one geological condition among rock hardness, porosity, and water content, and at least one piece of monitored data among pressure, temperature, and fluid characteristics in the wellbore; and a data generation unit, configured to obtain the monitored data of the wellbore based on the at least one geological condition and the at least one piece of monitored data. It can be understood that the data monitoring module 300 in the embodiments of the present application is equipped with various sensors for pressure, temperature, fluid characteristics, etc., and can monitor the environment in the wellbore in real time. During actual implementation, in the embodiments of the present application, the data monitoring module 300 can acquire and monitor multi-source data such as pressure, temperature, and fluid characteristics in the wellbore. For example, the data monitoring module 300 obtains key parameters such as pressure, temperature, and fluid characteristics in the wellbore by detecting information through corresponding sensors, and performs temporary storage and transmission on multi-source data. The data acquired in the embodiments of the present application is used to analyze and evaluate the production stimulation effect, and provides decision support for subsequent adjustment and control operations. Necessary data support can be provided for subsequent data analysis and decision-making to evaluate and optimize the production stimulation effect, thereby achieving the low-cost, efficient, and pollution-free permeability enhancement, production stimulation and efficiency improvement effects. The control module 400 is configured to generate a parameter combination meeting a preset optimal working condition based on the monitored data, adjust a pulse mode of the ultrasonic generator based on the parameter combination, and adjust working parameters of the ultrasonic wave and the transient electromagnetic field based on the pulse mode and the monitored data to obtain a wellbore acoustic-electric coupling result meeting a preset optimal condition. It can be understood that the parameter combination meeting the preset optimal working condition in the embodiments of the present application may be an optimal working parameter combination; and the wellbore acoustic-electric coupling result meeting the preset optimal condition in the embodiments of the present application may be an optimal wellbore acoustic-electric coupling resonance effect. During actual implementation, the control module 400 in the embodiments of the present application can comprehensively analyze the monitored data transmitted by the data monitoring module 300, generate a parameter combination meeting a preset optimal working condition based on the monitored data, adjust a pulse mode of the ultrasonic generator based on the parameter combination, and precisely adjust working parameters of the ultrasonic wave and the transient electromagnetic field through algorithm optimization based on the pulse mode and the monitored data, such as adjusting a frequency, a power, and a waveform of the ultrasonic wave, and an intensity, a pulse sequence, and a duration of the transient electromagnetic field. Through dynamic fine-adjustment of frequency and power, energy transmission is optimized to achieve an optimal wellbore acoustic-electric coupling resonance effect. The control module 400 is configured to generate a parameter combination meeting a preset optimal working condition based on the monitored data, adjust a pulse mode of the ultrasonic generator based on the parameter combination, and dynamically adjust a frequency, a power, and a waveform of the ultrasonic wave, and an intensity, a pulse sequence, and a duration of the transient electromagnetic field based on the pulse mode and the monitored data to achieve an optimal wellbore acoustic-electric coupling effect. It should be noted that the control module 400 is configured to generate a parameter combination meeting a preset optimal working condition based on the monitored data, which is a parameter combination meeting a preset optimal working condition of the ultrasonic generator 100 and the transient electromagnetic field generator 200. Through the above process, it is ensured that the system operates in an optimal state, thus significantly improving the production stimulation efficiency. It should be noted that the preset optimal working condition and the preset optimal condition may be set by those skilled in the art according to actual circumstances, and are not specifically limited herein. Optionally, in one embodiment of the present application, the working parameters include at least one of a frequency, a power and a waveform of the ultrasonic wave, and an intensity, a pulse sequence and a duration of the transient electromagnetic field. Dining actual implementation, the working parameters in the embodiments of the present application include but are not limited to the frequency, power, and waveform of the ultrasonic wave, and the intensity, pulse sequence, and duration of the transient electromagnetic field, and are automatically adjusted according to the real-time monitored data to optimize the operational effect. Optionally, in one embodiment of the present application, the control module 400 includes: a generation unit, configured to fit and optimize an evaluation model parameter for interaction between the ultrasonic wave and the transient electromagnetic field based on the monitored data to obtain an optimized result; and an iteration unit, configured to perform iterations of fitness calculation, selection, crossover, and mutation operations on the optimized result until a preset iteration termination condition is met, to obtain the parameter combination meeting the preset optimal working condition. Specifically, in the embodiments of the present application, the data transmitted by the data monitoring module 300 can be comprehensively analyzed through the control module 400 and processed using a normalization method to build a mathematical model of interaction between the ultrasonic wave and the electromagnetic field in the wellbore, and evaluation model parameters of the built mathematical model serving as an evaluation model are fitted and optimized based on the acquired historical data to obtain an optimized result, i.e., selecting individuals with excellent performance. In the embodiments of the present application, a genetic algorithm can be selected as an optimization algorithm for parameter optimization. An optimization process includes: setting initial parameters, defining a fitness function, generating an initial population, evaluating the fitness, selecting excellent individuals, performing crossover, and mutation operations, and ultimately finding an optimal working parameter combination through multiple iterations. Further, the control module 400 in the embodiments of the present application can achieve precise adjustment and control of the intelligent acoustic-electric integrated system for permeability enhancement, production stimulation and efficiency improvement of wellbores through the optimization algorithm. The initially set parameters of the ultrasonic wave and the electromagnetic field, such as a frequency and a power, serve as initial inputs of an optimization algorithm. A fitness function is defined. Based on the geological conditions and the real-time monitored data of the wellbore, model parameters are fitted and optimized by using an evaluation model for interaction between the ultrasonic wave and the electromagnetic field in the wellbore and selecting a genetic algorithm. Through repeated iterations of fitness calculation, selection, crossover, and mutation operations until a preset iteration termination condition is met, the permeability enhancement and production stimulation effects under different parameter combinations are evaluated to find an optimal working parameter combination. The genetic algorithm, as the optimization algorithm, randomly generates an initial population, where each individual represents a set of working parameters, including the frequency and power of the ultrasonic wave, and the intensity, pulse sequence, and duration of the electromagnetic field; then, the production stimulation effect of each individual is evaluated through the fitness function, and individuals with excellent performance are selected based on fitness values to form a basis of the next generation; the selected individuals undergo crossover operations to generate new individuals, thereby increasing population diversity; and to avoid local optimal solutions, some individuals undergo mutation operations to introduce random variations. In the embodiments of the present application, the optimal parameter combination is found through repeated iterations of fitness calculation, selection, crossover, and mutation operations until the predetermined number of generations is reached or the termination condition is met. It should be noted that the preset iteration termination condition may be set by those skilled in the art according to actual circumstances, and is not specifically limited herein. Optionally, in one embodiment of the present application, the control module 400 further includes: an optimization unit, configured to adjust the ultrasonic wave to a continuous wave or a pulsed wave based on the pulse mode and the monitored data; and a response unit, configured to respond to a data change in the wellbore by using the continuous wave or the pulsed wave and obtain the wellbore acoustic-electric coupling result meeting the preset optimal condition based on the data change. During actual implementation, the control module 400 in the embodiments of the present application can monitor a device state, automatically adjust the working parameters of the ultrasonic generator 100 and the transient electromagnetic field generator 200 based on real-time data feedback, and adjust the ultrasonic wave to a continuous wave or a pulsed wave based on the pulse mode and the monitored data, thereby ensuring that the system operates in the optimal state. The control module in the embodiments of the present application includes a central processing unit, configured to receive feedback information from a data monitoring system and adjust the working parameters of the ultrasonic generator 100 and the transient electromagnetic field generator 200 based on the feedback information. The working parameters include but are not limited to the frequency, power, and waveform of the ultrasonic wave, and the intensity, pulse sequence, and duration of the transient electromagnetic field. The central processing unit further performs data analysis and decision support, and generates an operational recommendation and adjusts the working parameters by processing the data. Further, the control module 400 automatically adjusts settings of the ultrasonic generator 100 and the transient electromagnetic field generator 200 through the genetic algorithm, controls the ultrasonic generator 100 to adjust a pulse mode, and automatically adjusts the ultrasonic wave to a continuous wave or a pulsed wave based on real-time monitored data feedback to respond to an instantaneous data change in the wellbore, thereby ensuring an optimal permeability enhancement effect. Specifically, as shown in FIG. 3 and FIG. 4, one specific embodiment is provided to describe in detail the working principle of the intelligent acoustic-electric integrated system for permeability enhancement, production stimulation and efficiency improvement of wellbores in the embodiments of the present application. As shown in FIG. 3, the method in the embodiments of the present application can include the following steps: Step S201: installing an ultrasonic generator and a transient electromagnetic field generator at predetermined positions in a wellbore, and preliminarily setting working parameters of the ultrasonic generator and the transient electromagnetic field generator; Step S202: starting the ultrasonic generator and the transient electromagnetic field generator, monitoring, by a data monitoring module, an environmental change in a wellbore in real time, and transmitting monitored data to a control module; Step S203: comprehensively analyzing, by the control module, the data transmitted by the data monitoring module, automatically finding an optimal parameter combination, generating an operational recommendation, and adjusting the working parameters of the ultrasonic generator and the transient electromagnetic field generator; and Step S204: monitoring, by the control module, a device state, and automatically adjusting the working parameters of the ultrasonic generator and the transient electromagnetic field generator based on real-time data feedback, thereby ensuring that the system operates in an optimal state. Further, as shown in FIG. 4, in the embodiments of the present application, the initially set parameters of the ultrasonic wave and the electromagnetic field, such as a frequency and a power, serve as initial inputs of an optimization algorithm. A fitness function is defined. Based on the geological conditions and the real-time monitored data of the wellbore, model parameters are fitted and optimized by using an evaluation model for interaction between the ultrasonic wave and the electromagnetic field in the wellbore and selecting a genetic algorithm. Through repeated iterations of fitness calculation, selection, crossover, and mutation operations until a preset iteration termination condition is met, the permeability enhancement and production stimulation effects under different parameter combinations are evaluated to find an optimal working parameter combination. This process specifically includes the following steps: Step S301: performing automated data analysis and decision support by a control module; Step S302: initially setting parameters of an ultrasonic wave and an electromagnetic field, such as a frequency and a power; Step S303: defining a fitness function, expressed as: F = wr ■ &K + w2 ■ &Q — w3 ■ E, wherein, represents a permeability gain, AQ represents a fluid flow rate gain, E represents energy consumption, and weights w15 w2, w3 are adjusted according to geological conditions; and Step S304: based on the geological conditions and the real-time monitored data of the wellbore, fitting and optimizing model parameters by using an evaluation model for interaction between the ultrasonic wave and the electromagnetic field in the wellbore and selecting a genetic algorithm, and through repeated iterations of fitness calculation, selection, crossover, and mutation operations until a preset iteration termination condition is met, evaluating the permeability enhancement and production stimulation effects under different parameter combinations to find an optimal working parameter combination. This process specifically includes the following steps. In Step S3041, an initial population is randomly generated. In Step S3042, each individual in the population represents a set of working parameters. In the embodiments of the present application, the working parameters are represented by a vector P = {fus, Pus, lTEM,tpuise^, wherein fus is the frequency of the ultrasonic wave, Pus is the power of the ultrasonic wave, ITEM is the intensity of the transient electromagnetic field, and tpuise is the pulse duration. In step S3043, the production stimulation effect of each individual in the population is evaluated through the fitness function, and an individual with the highest fitness is selected in combination with the production stimulation effect of each individual, such that the parameter combination corresponding to the optimal individual is an optimal parameter combination. In the embodiments of the present application, during the process of evaluating the production stimulation effect of each individual through the fitness function, a calculated fitness function value F is normalized to a range of 0 - 100 using historical maximum and minimum values, followed by fitness scoring to evaluate the production stimulation effect, which is classified into three levels: excellent, good, and poor according to the following method. Specifically, if a fitness score falls within a first range (e.g., 80 - 100 points), the evaluated production stimulation effect is classified as excellent, indicating significant permeability and fluid velocity gains, reasonable energy consumption, obvious synergistic effect, and outstanding performance in permeability enhancement and production stimulation, with a distinct acoustic-electric coupling resonance effect. At this time, the individual is the optimal individual, and the corresponding working parameter combination is the optimal working parameter combination. If the fitness score falls within a second range (e.g., 50 - 79 points), the evaluated production stimulation effect is classified as good, indicating moderate production stimulation effect and energy consumption, and general permeability enhancement and production stimulation effects, but not achieving an optimal acoustic-electric coupling state. It may serve as a basic parameter for further optimization, and the individual participates in crossover and mutation operations. If the fitness score falls within a third range (e.g., 0-49 points), the evaluated production stimulation effect is classified as poor, indicating limited production stimulation effect or excessively high energy consumption, unobvious acoustic-electric coupling effect, and failure to effectively improve wellbore performance. This parameter combination is eliminated, the process returns to Step S302 to regenerate a parameter combination, and Step S302 to Step S304 are performed for optimization until a parameter combination with a fitness score falling within the first range is generated. In Step S3044, crossover operations are performed on the selected individuals to generate new individuals, thereby enhancing population diversity. In the embodiments of the present application, parents P± and P2 are recombined at a random position k to generate offsprings PChtidi and PChiid2- In Step S3045, mutation operations are performed on some individuals to introduce random variations. p (p) In the embodiment of the present application, a selection probability pseiect = v calculated according to the fitness, a random perturbation 6 is introduced with probability Pseiect = 0.01, and the parameter is updated to P'[i] = P[i] + 8, where a perturbation range is set according to a parameter type (e.g., a frequency perturbation of ±5 kHz). In Step S3045, an optimal parameter combination is obtained through repeated iterations of fitness calculation, selection, crossover, and mutation operations. In the embodiment of the present application, repeated iteration is performed up to 100 times or until the fitness F changes by less than 0.01, to obtain an optimal parameter combination Popt = argmaxF(P). Through the above process, the control module dynamically adjusts the parameters of the ultrasonic wave and the transient electromagnetic field, thereby ensuring that the system operates in the optimal state, and significantly improving the production stimulation effect. In the intelligent acoustic-electric integrated system for permeability enhancement, production stimulation and efficiency improvement of wellbores according to the embodiments of the present application, through the acoustic-electric coupling resonance effect formed by the synergistic action of the ultrasonic wave and the transient electromagnetic field, the electromagnetic properties of blocking impurities in fractures are changed using the physical vibration effect of the high-frequency ultrasonic wave and the electromagnetic field technology to enhance pore permeability. Secondly, the intelligent acoustic-electric integrated method for permeability enhancement, production stimulation and efficiency improvement of wellbores according to the embodiments of the present application is described with reference to the drawings. FIG. 5 is a schematic flowchart of an intelligent acoustic-electric integrated method for permeability enhancement, production stimulation and efficiency improvement of wellbores according to the embodiments of the present application. As shown in FIG. 5, the intelligent acoustic-electric integrated method for permeability enhancement, production stimulation and efficiency improvement of wellbores includes the following steps: S401: generating an ultrasonic wave meeting a preset frequency and power condition; S402: generating a transient electromagnetic field corresponding to the ultrasonic wave; and monitoring an environmental change in a wellbore to generate monitored data of the wellbore; and S403: generating a parameter combination meeting a preset optimal working condition based on the monitored data, adjusting a pulse mode of the ultrasonic generator based on the parameter combination, and adjusting working parameters of the ultrasonic wave and the transient electromagnetic field based on the pulse mode and the monitored data to obtain a wellbore acoustic-electric coupling result meeting a preset optimal condition. Optionally, in one embodiment of the present application, the working parameters include at least one of a frequency, a power and a waveform of the ultrasonic wave, and intensity, a pulse sequence and duration of the transient electromagnetic field. Optionally, in one embodiment of the present application, the monitoring an environmental change in a wellbore to generate monitored data of the wellbore includes: acquiring at least one geological condition among rock hardness, porosity, and water content, and at least one piece of monitored data among pressure, temperature, and fluid characteristics in the wellbore; and obtaining the monitored data of the wellbore based on the at least one geological condition and the at least one piece of monitored data. Optionally, in one embodiment of the present application, the generating a parameter combination meeting a preset optimal working condition based on the monitored data includes: fitting and optimizing an evaluation model parameter for interaction between the ultrasonic wave and the transient electromagnetic field based on the monitored data to obtain an optimized result; and performing iterations on the optimized result until a preset iteration termination condition is met, to obtain the parameter combination meeting the preset optimal working condition. Optionally, in one embodiment of the present application, the adjusting working parameters of the ultrasonic wave and the transient electromagnetic field based on the pulse mode and the monitored data to obtain a wellbore acoustic-electric coupling result meeting a preset optimal condition includes: adjusting the ultrasonic wave to a continuous wave or a pulsed wave based on the pulse mode and the monitored data; and responding to a data change in the wellbore by using the continuous wave or the pulsed wave, and obtaining the wellbore acoustic-electric coupling result meeting the preset optimal condition based on the data change. It should be noted that the above explanation and description of the embodiment of the intelligent acoustic-electric integrated system for permeability enhancement, production stimulation and efficiency improvement of wellbores are also applicable to the intelligent acoustic-electric integrated method for permeability enhancement, production stimulation and efficiency improvement of wellbores in this embodiment, and will not be repeated herein. In the intelligent acoustic-electric integrated method for permeability enhancement, production stimulation and efficiency improvement of wellbores according to the embodiments of the present application, through the acoustic-electric coupling resonance effect formed by the synergistic action of the ultrasonic wave and the transient electromagnetic field, the electromagnetic properties of blocking impurities in fractures are changed using the physical vibration effect of the high-frequency ultrasonic wave and the electromagnetic field technology to enhance pore permeability. FIG. 6 is a schematic structural diagram of an electronic device according to the embodiments of the present application. The electronic device may include: a memory 501, a processor 502, and a computer program stored in the memory 501 and executable in the processor 502. When the processor 502 executes the program, the intelligent acoustic-electric integrated method for permeability enhancement, production stimulation and efficiency improvement of wellbores provided in the above embodiment is implemented. Further, the electronic device further includes: a communication interface 503, configured for communication between the memory 501 and the processor 502. The memory 501 is configured to store the computer program executable in the processor 502. The memory 501 may include a high-speed RAM memory, and may further include a non-volatile memory, such as at least one disk memory. If the memory 501, the processor 502, and the communication interface 503 are implemented independently, the communication interface 503, the memory 501, and the processor 502 can be interconnected via a bus to enable communication among them. The bus may be an industry standard architecture (ISA) bus, a peripheral component interconnect (PCI) bus, or an extended industry standard architecture (EISA) bus. The bus can be classified into an address bus, a data bus, a control bus, etc. For ease of representation, only a thick line is used in FIG. 5, but this does not mean that there is only one bus or only one type of bus. Optionally, in a specific implementation, if the memory 501, the processor 502, and the communication interface 503 are integrated on a single chip, the memory 501, the processor 502, and the communication interface 503 can communicate with one another via an internal interface. The processor 502 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application. Embodiments of the present application further provides a computer-readable storage medium, storing a computer program thereon, where the intelligent acoustic-electric integrated method for permeability enhancement, production stimulation and efficiency improvement of wellbores as above is implemented when the program is executed by a processor. Embodiments of the present application further provides a computer program product, storing a computer program thereon, where the intelligent acoustic-electric integrated method for permeability enhancement, production stimulation and efficiency improvement of wellbores as above is implemented when the program is executed by a processor. In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" refers to that the specific features, structures, materials, or characteristics described in combination with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms need not be directed to the same embodiments or examples. Moreover, the specific features, structures, materials or characteristics described may be combined in a suitable manner in any one or N embodiments or examples. In addition, different embodiments or examples described in this specification and features of different embodiments or examples may be connected and combined by those skilled in the art without mutual contradiction. Furthermore, the terms "first" and "second" are only for descriptive purposes, and cannot be construed as indicating or implying relative importance or implying the number of technical features indicated. Thus, features defined with "first" and "second" can explicitly or implicitly include at least one of the features. In the description of the present application, the term "N" means at least two, such as two or three, unless otherwise expressly and specifically limited. Any process or method described in the flowchart or otherwise herein can be understood as representing a module, a segment, or a portion of code including one or N executable instructions for implementing customized logic functions or process steps, and the scope of the preferred embodiments of the present application includes additional implementations in which the functions can be performed not in the order shown or discussed, including in a substantially simultaneous manner or in reverse order according to the functions involved. This should be understood by those skilled in the art to which the embodiments of the present application belong. The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequencing list of executable instructions for implementing logic functions, which can be specifically implemented in any computer-readable medium for use by or in conjunction with an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from an instruction execution system, apparatus, or device). For the purposes of this specification, the "computer-readable medium" may be any apparatus that can contain, store, communicate, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. A more specific example (a non-exhaustive list) of the computer-readable media includes the following: an electrical connection portion with one or N wires (an electronic device), a portable computer disk cartridge (a magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium may even be paper or other suitable media on which the program is printed, since the program can be obtained electronically by optical scanning of the paper or other media, followed by editing, interpretation, or other suitable processing as necessary, and then stored in the computer memory. It should be understood that various parts of the present application may be implemented in hardware, software, firmware, or any combination thereof. In the above embodiments, N steps or methods may be implemented by software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following technologies well-known in the art: discrete logic circuits with logic gate circuits for implementing logic functions on data signals, application-specific integrated circuits with suitable combinatorial logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc. It can be understood by those of ordinary skill in the art that some or all of the steps of the method in the above embodiment can be implemented by a program instructing relevant hardware. The program can be stored in a computer-readable storage medium. When the program is executed, one or combination of the steps of the method embodiment is included. In addition, the various functional units in the various embodiments of the present application may be integrated in one processing module, each unit may exist physically alone, or two or more units may be integrated in one module. The above integrated module may be implemented in the form of hardware or a software function module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. The above-mentioned storage medium may be a read-only memory, a magnetic disk, or an optical disk. While the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be construed as limitations on the present application. Those of ordinary skill in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present application.

Claims

What is claimed is:

1. An intelligent acoustic-electric integrated system for permeability enhancement, production stimulation and efficiency improvement of wellbores, comprising:an ultrasonic generator, configured to generate an ultrasonic wave meeting a preset frequency and power condition;a transient electromagnetic field generator, configured to generate a transient electromagnetic field corresponding to the ultrasonic wave;a data monitoring module, configured to monitor an environmental change in a wellbore to generate monitored data of the wellbore; anda control module, configured to generate a parameter combination meeting a preset optimal working condition based on the monitored data, adjust a pulse mode of the ultrasonic generator based on the parameter combination, and adjust working parameters of the ultrasonic wave and the transient electromagnetic field based on the pulse mode and the monitored data to obtain a wellbore acoustic-electric coupling result meeting a preset optimal condition.

2. The intelligent acoustic-electric integrated system for permeability enhancement, production stimulation and efficiency improvement of wellbores according to claim 1, wherein the working parameters comprise at least one of a frequency, a power and a waveform of the ultrasonic wave, and an intensity, a pulse sequence and a duration of the transient electromagnetic field.

3. The intelligent acoustic-electric integrated system for permeability enhancement, production stimulation and efficiency improvement of wellbores according to claim 1, wherein the data monitoring module comprises:an acquisition unit, configured to acquire at least one geological condition among rock hardness, porosity, and water content, and at least one piece of monitored data among pressure, temperature, and fluid characteristics in the wellbore; anda data generation unit, configured to obtain the monitored data of the wellbore based on the at least one geological condition and the at least one piece of monitored data.

4. The intelligent acoustic-electric integrated system for permeability enhancement, production stimulation and efficiency improvement of wellbores according to claim 1, wherein the control module comprises:a generation unit, configured to fit and optimize an evaluation model parameter for interaction between the ultrasonic wave and the transient electromagnetic field based on the monitored data to obtain an optimized result; andan iteration unit, configured to perform iterations of fitness calculation, selection, crossover, and mutation operations on the optimized result until a preset iteration termination condition is met, to obtain the parameter combination meeting the preset optimal working condition.

5. The intelligent acoustic-electric integrated system for permeability enhancement, production stimulation and efficiency improvement of wellbores according to claim 4, wherein the control module further comprises:an optimization unit, configured to adjust the ultrasonic wave to a continuous wave or a pulsed wave based on the pulse mode and the monitored data; anda response unit, configured to respond to a data change in the wellbore by using the continuous wave or the pulsed wave and obtain the wellbore acoustic-electric coupling result meeting the preset optimal condition based on the data change.

6. An intelligent acoustic-electric integrated method for permeability enhancement, production stimulation and efficiency improvement of wellbores, using the intelligent acoustic-electric integrated system for permeability enhancement, production stimulation and efficiency improvement of wellbores according to any one of claims 1 to 5, and comprising the following steps:generating an ultrasonic wave meeting a preset frequency and power condition;generating a transient electromagnetic field corresponding to the ultrasonic wave;monitoring an environmental change in a wellbore to generate monitored data of the wellbore; andgenerating a parameter combination meeting a preset optimal working condition based on the monitored data, adjusting a pulse mode of the ultrasonic generator based on the parameter combination, and adjusting working parameters of the ultrasonic wave and the transient electromagnetic field based on the pulse mode and the monitored data to obtain a wellbore acoustic-electric coupling result meeting a preset optimal condition.

7. The intelligent acoustic-electric integrated method for permeability enhancement, production stimulation and efficiency improvement of wellbores according to claim 6, wherein the working parameters comprise at least one of a frequency, a power and a waveform of theultrasonic wave, and an intensity, a pulse sequence and a duration of the transient electromagnetic field.

8. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable in the processor, wherein the processor executes the program to implement the intelligent acoustic-electric integrated method for permeability enhancement, production stimulation and efficiency improvement of wellbores according to any one of claims 6 and 7.

9. A computer-readable storage medium, storing a computer program thereon, wherein the program is executed by a processor to implement the intelligent acoustic-electric integrated method for permeability enhancement, production stimulation and efficiency improvement of wellbores according to any one of claims 6 and 7.

10. A computer program product, comprising a computer program, wherein the computer program is executed to implement the intelligent acoustic-electric integrated method for permeability enhancement, production stimulation and efficiency improvement of wellbores according to any one of claims 6 and 7.T +44(0)30 0300 2000A

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