Well hole acoustoelectric intelligent fusion anti-reflection, yield-increasing and efficiency-increasing system and method

Abstract

The invention relates to a well hole acoustoelectric intelligent fusion anti-reflection, yield-increasing and efficiency-increasing system and method, and the system comprises an ultrasonic generator which is used for generating ultrasonic waves meeting preset frequency and power conditions; the transient electromagnetic field generator is used for generating a transient electromagnetic field corresponding to the ultrasonic waves; the data monitoring module is used for monitoring environment change in the well hole to generate monitoring data of the well hole; and the control module is used for generating a parameter combination meeting the preset optimal working condition according to the monitoring data, adjusting the pulse mode of the ultrasonic generator according to the parameter combination, adjusting the working parameters of the ultrasonic wave and the transient electromagnetic field according to the pulse mode and the monitoring data, and obtaining a well hole acoustoelectric coupling result meeting the preset optimal condition. Therefore, the problems of high cost, low efficiency and environmental pollution faced by oil and gas field yield increase and the problems of low geothermal recharge efficiency faced by geothermal resource exploitation are solved.

Description

Technical Field

[0001] This application relates to the fields of geothermal, oil and gas extraction technology, and in particular to a wellbore acoustic-electric intelligent fusion system and method for enhancing permeability, production and efficiency. Background Technology

[0002] With the large-scale development and utilization of geothermal resources in my country, there is a need to minimize the consumption of geothermal water in reservoirs and maximize the extraction of heat from the reservoirs through reinjection technology to maintain a balanced and stable hydrothermal head pressure and achieve sustainable resource utilization. However, the most prominent problem currently facing this issue is the low efficiency of geothermal reinjection. On the other hand, many early-stage oil and gas fields in my country are now entering their middle and later stages of development, with oil and gas reserves gradually decreasing and extraction costs and difficulties increasing.

[0003] To increase oil and gas production, various measures are typically chosen, such as water shut-off technology, mixed gas huff and puff technology, acidizing technology, densification and perforation technology, and chemical sand control technology. However, a single production enhancement measure is not very effective. These traditional hydraulic fracturing and chemical production enhancement technologies face problems such as high cost and low efficiency.

[0004] Among related technologies, although ultrasonic and electromagnetic field technologies have shown good application prospects in oil and gas field production enhancement, the application effect of a single technology is still limited. Traditional oil and gas field production enhancement technologies, although they have increased oil and gas production to a certain extent, also have some significant drawbacks: (1) High cost: Hydraulic fracturing and chemical production enhancement technologies require a large amount of equipment and chemical reagents, resulting in high production costs; (2) Low efficiency: As oil and gas field development deepens and geological conditions become more complex, the production enhancement effect of traditional methods gradually weakens, making it difficult to meet the needs of efficient production; (3) Environmental pollution: The use of chemical reagents and the large amount of wastewater and chemical residues generated during hydraulic fracturing pose potential threats to groundwater resources and the environment. Summary of the Invention

[0005] This application provides a wellbore acoustic-electric intelligent fusion system and method for enhancing permeability, production and efficiency, in order to solve problems such as low geothermal reinjection efficiency in geothermal resource extraction, as well as high cost, low efficiency and environmental pollution in oil and gas field production enhancement.

[0006] The first aspect of this application provides a borehole acoustic-electric intelligent fusion system for enhancing permeability, production, and efficiency, comprising: an ultrasonic generator for generating ultrasonic waves that meet preset frequency and power conditions; a transient electromagnetic field generator for generating a transient electromagnetic field corresponding to the ultrasonic waves; a data monitoring module for monitoring environmental changes within the borehole to generate monitoring data for the borehole; and a control module for generating a parameter combination that meets preset optimal operating conditions based on the monitoring data, adjusting the pulse mode of the ultrasonic generator based on the parameter combination, and adjusting the operating parameters of the ultrasonic waves and the transient electromagnetic field based on the pulse mode and the monitoring data to obtain a borehole acoustic-electric coupling result that meets the preset optimal conditions.

[0007] Optionally, in one embodiment of this application, the operating parameters include at least one of the frequency, power, and waveform of the ultrasonic wave, and the intensity, pulse sequence, and duration of the transient electromagnetic field.

[0008] Optionally, in one embodiment of this application, the data monitoring module includes: a data acquisition unit for acquiring at least one geological condition of rock hardness, porosity, and water content, and at least one monitoring data of pressure, temperature, and fluid characteristics within the wellbore; and a data generation unit for obtaining monitoring data of the wellbore based on the at least one geological condition and the at least one monitoring data.

[0009] Optionally, in one embodiment of this application, the control module includes: a generation unit, used to fit and optimize the evaluation model parameters of the interaction between the ultrasonic wave and the transient electromagnetic field based on the monitoring data to obtain an optimization result; and an iteration unit, used to iterate the optimization result by performing fitness calculation, selection, crossover, and mutation operations until a preset iteration termination condition is met to obtain the parameter combination that meets the preset optimal working conditions.

[0010] Optionally, in one embodiment of this application, the control module further includes: an optimization unit, configured to adjust the ultrasonic wave to a continuous wave or a pulse wave according to the pulse mode and the monitoring data; and a response unit, configured to respond to the data changes in the wellbore using the continuous wave or the pulse wave, and obtain the wellbore acoustic-electric coupling result that satisfies the preset optimal conditions based on the data changes.

[0011] A second aspect of this application provides a method for enhancing permeability, production, and efficiency in wellbore acoustic-electric fusion, comprising the following steps: generating ultrasonic waves that meet preset frequency and power conditions; generating a transient electromagnetic field corresponding to the ultrasonic waves; monitoring environmental changes within the wellbore to generate monitoring data for the wellbore; generating a parameter combination that meets preset optimal operating conditions based on the monitoring data; adjusting the pulse mode of the ultrasonic wave generator based on the parameter combination; and adjusting the operating parameters of the ultrasonic waves and the transient electromagnetic field based on the pulse mode and the monitoring data to obtain a wellbore acoustic-electric coupling result that meets preset optimal conditions.

[0012] Optionally, in one embodiment of this application, the operating parameters include at least one of the frequency, power, and waveform of the ultrasonic wave, and the intensity, pulse sequence, and duration of the transient electromagnetic field.

[0013] Optionally, in one embodiment of this application, the monitoring of environmental changes within the wellbore to generate monitoring data for the wellbore includes: collecting monitoring data on at least one geological condition (rock hardness, porosity, and water content) and at least one monitoring data on pressure, temperature, and fluid characteristics within the wellbore; and obtaining the monitoring data for the wellbore based on the at least one geological condition and the at least one monitoring data.

[0014] Optionally, in one embodiment of this application, generating a parameter combination that satisfies preset optimal working conditions based on the monitoring data includes: fitting and optimizing the parameters of the evaluation model for the interaction between the ultrasonic wave and the transient electromagnetic field based on the monitoring data to obtain an optimization result; iterating the optimization result through fitness calculation, selection, crossover, and mutation operations until a preset iteration termination condition is met to obtain the parameter combination that satisfies the preset optimal working conditions.

[0015] Optionally, in one embodiment of this application, adjusting the operating parameters of the ultrasonic wave and the transient electromagnetic field according to the pulse mode and the monitoring data to obtain a wellbore acoustic-electric coupling result that satisfies the preset optimal conditions includes: adjusting the ultrasonic wave to a continuous wave or a pulse wave according to the pulse mode and the monitoring data; using the continuous wave or the pulse wave to respond to data changes in the wellbore, and obtaining the wellbore acoustic-electric coupling result that satisfies the preset optimal conditions based on the data changes.

[0016] A third aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the program to implement the wellbore acoustic-electric intelligent fusion method for enhancing permeability, production, and efficiency as described in the above embodiments.

[0017] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for enhancing permeability, production, and efficiency through the intelligent fusion of acoustic and electrical fusion in wells.

[0018] The fifth aspect of this application provides a computer program product that stores a computer program, which, when executed by a processor, implements the above-mentioned method for enhancing permeability, production, and efficiency through the intelligent fusion of acoustic and electrical fusion in wells.

[0019] This application's embodiments utilize the acoustic-electric coupling resonance effect formed by the synergistic action of ultrasound and transient electromagnetic fields. By employing the physical vibration of high-frequency ultrasound and electromagnetic field technology to alter the electromagnetic properties of impurities blocking fractures, porosity is enhanced, significantly improving the extraction efficiency of oil and gas fields and the geothermal reinjection efficiency. This solves the problems of high cost, low efficiency, and environmental pollution faced by oil and gas field production enhancement, as well as the problems of low geothermal reinjection efficiency faced by geothermal resource extraction.

[0020] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0021] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0022] Figure 1 This is a schematic diagram of a borehole acoustic-electric intelligent fusion system for enhancing permeability, production, and efficiency, according to an embodiment of this application.

[0023] Figure 2 A flowchart of a borehole acoustic-electric intelligent fusion system for enhancing permeability, production, and efficiency according to an embodiment of this application;

[0024] Figure 3 This is a flowchart of the optimization algorithm for a borehole acoustic-electric intelligent fusion system for enhancing permeability, production, and efficiency according to an embodiment of this application;

[0025] Figure 4 This is a flowchart of a wellbore acoustic-electric intelligent fusion method for enhancing permeability, production, and efficiency according to an embodiment of this application;

[0026] Figure 5 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of this application. Detailed Implementation

[0027] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0028] The following description, with reference to the accompanying drawings, describes a borehole acoustic-electric intelligent fusion system and method for enhancing permeability, production, and efficiency in accordance with this application. Addressing the issues of high cost, low efficiency, and environmental pollution faced by oil and gas field enhancement, and low geothermal reinjection efficiency in geothermal resource extraction, as mentioned in the background art, this application provides a borehole acoustic-electric intelligent fusion system for enhancing permeability, production, and efficiency. In this system, through the acoustic-electric coupling resonance effect formed by the synergistic action of ultrasonic waves and transient electromagnetic fields, the physical vibration of high-frequency ultrasonic waves and electromagnetic field technology are used to alter the electromagnetic properties of impurities blocking fractures, thereby enhancing porosity and significantly improving the extraction efficiency of oil and gas fields and the geothermal reinjection efficiency. This solves the problems of high cost, low efficiency, and environmental pollution faced by oil and gas field enhancement, as well as the problems of low geothermal reinjection efficiency faced by geothermal resource extraction.

[0029] Specifically, Figure 1 This is a schematic diagram of the structure of a borehole acoustic-electric intelligent fusion system for enhancing permeability, production, and efficiency, provided in an embodiment of this application.

[0030] like Figure 1 As shown, the wellbore acoustic-electric intelligent fusion system for enhancing permeability, production and efficiency includes: an ultrasonic generator 100, a transient electromagnetic field generator 200, a data monitoring module 300 and a control module 400.

[0031] Specifically, the ultrasonic generator 100 is used to generate ultrasonic waves that meet preset frequency and power conditions.

[0032] It is understood that the ultrasonic generator 100 in this embodiment is used to generate ultrasonic waves with adjustable frequency and power, which can be adjusted to be continuous waves or pulsed waves to adapt to different geological conditions. The ultrasonic waves emitted by the ultrasonic generator 100 are mechanical waves with a frequency higher than the range of human hearing, and have good penetration ability and energy transfer characteristics. The preset frequency and power conditions in this embodiment can be conditions that satisfy the adjustable frequency and power.

[0033] In practical application, the ultrasonic generator 100 in this embodiment generates ultrasonic waves with adjustable frequency and power, which can be adjusted to continuous waves or pulsed waves to adapt to different geological conditions. In oil and gas field development, the ultrasonic generator 100 can create micro-vibrations in the oil layer, weakening the intermolecular forces of crude oil, thereby reducing the viscosity of the crude oil and promoting oil flow. In geothermal resource development and geothermal reinjection applications, high-power ultrasonic waves can also break up tiny cracks in the rock strata, increasing the permeability of the strata and improving flow channels. This solves the problems of high cost, low efficiency, and environmental pollution faced by oil and gas field production enhancement, as well as the problems of low geothermal reinjection efficiency faced by geothermal resource development.

[0034] The ultrasonic generator 100 is designed to produce ultrasonic waves of specific frequencies and power, with a frequency range from 20kHz to 2MHz and an adjustable power from 100W to 10kW. It can be adjusted to produce continuous or pulsed waves to meet the needs of different geological conditions. The ultrasonic waves generated by the ultrasonic generator 100 can create micro-vibrations around the wellbore, reducing the viscosity of crude oil in the oil layer and facilitating oil release and flow.

[0035] It should be noted that the preset frequency and power conditions can be set by those skilled in the art according to the actual situation, and no specific restrictions are imposed here.

[0036] Transient electromagnetic field generator 200 is used to generate transient electromagnetic fields corresponding to ultrasonic waves.

[0037] It is understood that the transient electromagnetic field generator 200 in this embodiment is equipped with a high-efficiency electromagnetic coil, which is capable of generating a transient electromagnetic field that matches the frequency of the ultrasonic generator 100.

[0038] As one possible implementation, the transient electromagnetic field generator 200 in this embodiment generates a transient electromagnetic field that matches the ultrasonic wave. This transient electromagnetic field interacts with the physical vibrations generated by the ultrasonic wave to form an acoustic-electric coupling resonance effect, increasing fracture permeability. This addresses the problems of high cost, low efficiency, and environmental pollution faced by oil and gas field production enhancement, as well as the low efficiency of geothermal reinjection faced by geothermal resource extraction.

[0039] The data monitoring module 300 is used to monitor environmental changes within the wellbore in order to generate monitoring data for the wellbore.

[0040] In actual implementation, the data monitoring module 300 in this embodiment can monitor key parameters such as pressure, temperature and fluid characteristics in the wellbore in real time, providing necessary data support to evaluate and optimize the permeability enhancement effect.

[0041] Optionally, in one embodiment of this application, the data monitoring module 300 includes: a data acquisition unit for acquiring at least one geological condition, including rock hardness, porosity, and water content, and at least one monitoring data, including pressure, temperature, and fluid characteristics within the wellbore; and a data generation unit for obtaining wellbore monitoring data based on at least one geological condition and at least one monitoring data.

[0042] It is understood that the data monitoring module 300 in this embodiment is equipped with various sensors such as pressure, temperature, and fluid characteristics, which can monitor the environment inside the wellbore in real time.

[0043] In actual implementation, the embodiments of this application can collect multi-source data such as pressure, temperature and fluid characteristics in the wellbore through the data monitoring module 300. For example, the data monitoring module 300 obtains key parameters such as pressure, temperature and fluid characteristics in the wellbore through the detection information of corresponding sensors, and temporarily stores and transmits the multi-source data.

[0044] The data collected in this application embodiment is used to analyze and evaluate the production increase effect, and at the same time provides decision support for the next step of control operation. It can provide necessary data support for subsequent data analysis and decision support, so as to evaluate and optimize the production increase effect and achieve the effect of low cost, high efficiency, and pollution-free permeability increase, production increase and efficiency improvement.

[0045] The control module 400 is used to generate a parameter combination that meets the preset optimal working conditions based on the monitoring data, adjust the pulse mode of the ultrasonic generator according to the parameter combination, and adjust the working parameters of the ultrasonic wave and transient electromagnetic field according to the pulse mode and the monitoring data to obtain the wellbore acoustic-electric coupling result that meets the preset optimal conditions.

[0046] It is understood that the parameter combination of the preset optimal working conditions in the embodiments of this application can be the optimal working parameter combination; the wellbore acoustic-electric coupling result that satisfies the preset optimal conditions in the embodiments of this application can be the result of achieving the best wellbore acoustic-electric coupling resonance effect.

[0047] In actual implementation, the control module 400 in this embodiment can comprehensively analyze the monitoring data transmitted by the data monitoring module 300, generate a parameter combination that meets the preset optimal working conditions based on the monitoring data, adjust the pulse mode of the ultrasonic generator according to the parameter combination, and, based on the pulse mode and monitoring data, precisely adjust the working parameters of the ultrasonic wave and transient electromagnetic field according to the algorithm optimization, such as adjusting the frequency, power and waveform of the ultrasonic wave, and the intensity, pulse sequence and duration of the transient electromagnetic field. By dynamically fine-tuning the frequency and power to optimize energy transmission, the best wellbore acoustic-electric coupling resonance effect can be achieved.

[0048] It should be noted that the preset optimal working conditions and preset optimal conditions can be set by those skilled in the art according to the actual situation, and no specific restrictions are imposed here.

[0049] Optionally, in one embodiment of this application, the operating parameters include at least one of the following: the frequency, power, and waveform of the ultrasonic wave, and the intensity, pulse sequence, and duration of the transient electromagnetic field.

[0050] In actual implementation, the operating parameters in the embodiments of this application include, but are not limited to, the frequency, power and waveform of the ultrasonic wave, the intensity, pulse sequence and duration of the transient electromagnetic field, and are automatically adjusted according to real-time monitoring data to optimize the operation effect.

[0051] Optionally, in one embodiment of this application, the control module 400 includes: a generation unit, used to fit and optimize the parameters of the evaluation model for the interaction between ultrasound and transient electromagnetic field based on monitoring data, and obtain optimization results; and an iteration unit, used to iterate the optimization results by performing fitness calculation, selection, crossover and mutation operations until a preset iteration termination condition is met, and obtain a parameter combination that satisfies the optimal working conditions.

[0052] Specifically, in this embodiment, the control module 400 can comprehensively analyze the data transmitted by the data monitoring module 300, process the data using a normalization method, establish a mathematical model of the interaction between ultrasonic waves and electromagnetic fields within the wellbore, and use collected historical data to fit and optimize the evaluation model parameters to obtain the optimization result, i.e., select individuals with excellent performance. In this embodiment, a genetic algorithm can be selected as the optimization algorithm for parameter optimization. The optimization process includes: setting initial parameters, defining a fitness function, generating an initial population, evaluating fitness, selecting superior individuals, performing crossover and mutation operations, and through multiple iterations, finally finding the optimal combination of working parameters.

[0053] Furthermore, the control module 400 in this embodiment can achieve precise control of the wellbore acoustic-electric intelligent fusion permeability enhancement, production enhancement, and efficiency improvement system through an optimization algorithm. Initially set parameters such as the frequency and power of the ultrasonic and electromagnetic fields are used as the initial input to the optimization algorithm. A fitness function is defined, and based on the wellbore's geological conditions and real-time monitoring data, an evaluation model of the interaction between ultrasonic and electromagnetic fields within the wellbore is used. A genetic algorithm is selected to fit and optimize the model parameters. Through repeated iterations of fitness calculation, selection, crossover, and mutation operations, until the preset iteration termination condition is met, the permeability enhancement and production improvement effects under different parameter combinations are evaluated, and the optimal working parameter combination is found.

[0054] In this approach, a genetic algorithm is used as the optimization algorithm. An initial population is randomly generated, with each individual representing a set of working parameters, including the frequency and power of the ultrasound, the intensity of the electromagnetic field, the pulse sequence, and the duration. Then, the productivity increase of each individual is evaluated using a fitness function, and individuals with superior fitness values ​​are selected to form the basis for the next generation. Crossover operations are performed on the selected individuals to generate new individuals, increasing population diversity. To avoid local optima, mutation operations are performed on some individuals, introducing random variations. This embodiment of the application finds the optimal parameter combination through repeated iterations of fitness calculation, selection, crossover, and mutation operations until a predetermined number of generations is reached or a termination condition is met.

[0055] It should be noted that the preset iteration termination condition can be set by those skilled in the art according to the actual situation, and no specific restrictions are imposed here.

[0056] Optionally, in one embodiment of this application, the control module 400 further includes: an optimization unit, used to adjust the ultrasonic wave into a continuous wave or a pulse wave according to the pulse mode and monitoring data; and a response unit, used to respond to data changes in the wellbore using the continuous wave or pulse wave, and obtain the wellbore acoustic-electric coupling result that meets the optimal conditions according to the data changes.

[0057] In actual implementation, the control module 400 in this embodiment can monitor the equipment status and automatically adjust the operating parameters of the ultrasonic generator 100 and the transient electromagnetic field generator 200 based on real-time data feedback. It adjusts the ultrasonic waves into continuous waves or pulse waves according to the pulse mode and monitoring data to ensure that the system operates in the best condition.

[0058] In this embodiment, the control module includes a central processing unit (CPU) for receiving feedback information from the data monitoring system and adjusting the operating parameters of the ultrasonic generator 100 and the transient electromagnetic field generator 200 based on the feedback information. The operating parameters include, but are not limited to, the frequency, power, and waveform of the ultrasonic waves, and the intensity, pulse sequence, and duration of the transient electromagnetic field. The CPU further performs data analysis and decision support, generating operational suggestions and adjusting the operating parameters by processing the data.

[0059] Furthermore, the control module 400 automatically adjusts the settings of the ultrasonic generator 100 and the transient electromagnetic field generator 200 through advanced algorithms, controls the ultrasonic generator 100 to adjust the pulse mode, and automatically adjusts it to a continuous wave or a pulse wave according to real-time monitoring data feedback, responding to real-time data changes in the wellbore to ensure the optimal permeability enhancement effect.

[0060] Specifically, it can be combined with Figure 2 and Figure 3As shown, the working principle of the wellbore acoustic-electric intelligent fusion system for enhancing permeability, production, and efficiency in this application is explained in detail using a specific embodiment.

[0061] like Figure 2 As shown, embodiments of this application may include the following steps:

[0062] Step S201: Install the ultrasonic generator and transient electromagnetic field generator at the predetermined positions in the wellbore, and initially set the operating parameters of the ultrasonic generator and transient electromagnetic field generator.

[0063] Step S202: Start the ultrasonic generator and transient electromagnetic field generator. The data monitoring module monitors the environmental changes inside the wellbore in real time and transmits the monitored data to the control module.

[0064] Step S203: The control module performs comprehensive analysis on the data transmitted by the data monitoring module, automatically finds the optimal parameter combination, generates operation suggestions, and adjusts the operating parameters of the ultrasonic generator and the transient electromagnetic field generator.

[0065] Step S204: The control module monitors the equipment status and automatically adjusts the operating parameters of the ultrasonic generator and transient electromagnetic field generator based on real-time data feedback to ensure that the system operates in the best condition.

[0066] Furthermore, if Figure 3 As shown, embodiments of this application may include the following steps:

[0067] Step S301: Automated data analysis and decision support for the control module.

[0068] Step S302: Initial setting of parameters such as frequency and power of ultrasonic and electromagnetic fields.

[0069] Step S303: Define the fitness function.

[0070] Step S304: Based on the geological conditions of the wellbore and real-time monitoring data.

[0071] Step S305: Evaluate the production increase effect under different parameter combinations.

[0072] Step S306: Select a genetic algorithm as the optimization algorithm.

[0073] Step S307: Randomly generate the initial population.

[0074] Step S308: Each individual represents a set of working parameters.

[0075] Step S309: Evaluate the yield increase effect of each individual using the fitness function.

[0076] Step S310: Select individuals with excellent performance based on their fitness values.

[0077] Step S311: Perform crossover operation on the selected individuals.

[0078] Step S312: Generate new individuals to increase population diversity.

[0079] Step S313: Perform mutation operations on some individuals to introduce random changes.

[0080] Step S314: Iterate through fitness calculation, selection, crossover and mutation operations.

[0081] Step S315: Find the optimal combination of parameters.

[0082] The wellbore acoustic-electric intelligent fusion permeability enhancement, production enhancement, and efficiency improvement system proposed in this application utilizes the acoustic-electric coupling resonance effect formed by the synergistic action of ultrasonic waves and transient electromagnetic fields. By leveraging the physical vibration of high-frequency ultrasonic waves and electromagnetic field technology to alter the electromagnetic properties of impurities clogging fractures, it enhances porosity and significantly improves geothermal reinjection efficiency and oil and gas field extraction efficiency. This solves the problems of low geothermal reinjection efficiency in geothermal resource extraction, as well as the high costs, low efficiency, and environmental pollution issues faced by oil and gas field production enhancement.

[0083] Secondly, referring to the accompanying drawings, the method for improving wellbore acoustic-electric intelligent fusion permeability, increasing production, and enhancing efficiency according to the embodiments of this application is described.

[0084] Figure 4 This is a flowchart illustrating the method for improving permeability, production, and efficiency through the intelligent fusion of acoustic and electrical fusion in wellbore according to an embodiment of this application.

[0085] like Figure 4 As shown, the wellbore acoustic-electric intelligent fusion method for enhancing permeability, production, and efficiency includes the following steps:

[0086] In step S401, an ultrasonic wave that meets the preset frequency and power conditions is generated.

[0087] In step S402, a transient electromagnetic field corresponding to the ultrasonic wave is generated; environmental changes within the wellbore are monitored to generate wellbore monitoring data.

[0088] In step S403, a parameter combination that meets the preset optimal working conditions is generated based on the monitoring data, and the pulse mode of the ultrasonic generator is adjusted according to the parameter combination. The working parameters of the ultrasonic wave and the transient electromagnetic field are also adjusted according to the pulse mode and the monitoring data to obtain the wellbore acoustic-electric coupling result that meets the preset optimal conditions.

[0089] Optionally, in one embodiment of this application, the operating parameters include at least one of the following: the frequency, power, and waveform of the ultrasonic wave, and the intensity, pulse sequence, and duration of the transient electromagnetic field.

[0090] Optionally, in one embodiment of this application, monitoring environmental changes within the wellbore to generate wellbore monitoring data includes: collecting monitoring data on at least one geological condition (rock hardness, porosity, and water content) and at least one monitoring data on pressure, temperature, and fluid characteristics within the wellbore; and obtaining wellbore monitoring data based on at least one geological condition and at least one monitoring data.

[0091] Optionally, in one embodiment of this application, generating a parameter combination that satisfies preset optimal working conditions based on monitoring data includes: fitting and optimizing the parameters of an evaluation model for the interaction between ultrasound and transient electromagnetic fields based on monitoring data to obtain an optimization result; iterating the optimization result until a preset iteration termination condition is met to obtain a parameter combination that satisfies preset optimal working conditions.

[0092] Optionally, in one embodiment of this application, adjusting the operating parameters of the ultrasonic wave and the transient electromagnetic field according to the pulse mode and monitoring data to obtain a wellbore acoustic-electric coupling result that meets the preset optimal conditions includes: adjusting the ultrasonic wave to a continuous wave or a pulse wave according to the pulse mode and monitoring data; using the continuous wave or pulse wave to respond to data changes in the wellbore, and obtaining a wellbore acoustic-electric coupling result that meets the preset optimal conditions based on the data changes.

[0093] It should be noted that the explanation of the above-mentioned embodiment of the wellbore acoustic-electric intelligent fusion permeability enhancement, production enhancement and efficiency improvement system also applies to the wellbore acoustic-electric intelligent fusion permeability enhancement, production enhancement and efficiency improvement method of this embodiment, and will not be repeated here.

[0094] The wellbore acoustic-electric intelligent fusion method for enhancing permeability, production, and efficiency, as proposed in this application, utilizes the acoustic-electric coupling resonance effect formed by the synergistic action of ultrasonic waves and transient electromagnetic fields. By employing the physical vibration of high-frequency ultrasonic waves and electromagnetic field technology to alter the electromagnetic properties of impurities clogging fractures, porosity is enhanced, significantly improving geothermal reinjection efficiency and oil and gas field extraction efficiency. This solves the problems of low geothermal reinjection efficiency in geothermal resource extraction, as well as the high costs, low efficiency, and environmental pollution issues faced by oil and gas field production enhancement.

[0095] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include:

[0096] The memory 501, the processor 502, and the computer program stored on the memory 501 and capable of running on the processor 502.

[0097] When the processor 502 executes the program, it implements the wellbore acoustic-electric intelligent fusion method for enhancing permeability, production and efficiency provided in the above embodiments.

[0098] Furthermore, the electronic device further includes:

[0099] Communication interface 503 is used for communication between memory 501 and processor 502.

[0100] The memory 501 is used to store computer programs that can run on the processor 502.

[0101] The memory 501 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0102] If the memory 501, processor 502, and communication interface 503 are implemented independently, then the communication interface 503, memory 501, and processor 502 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 5 Only one thick line is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0103] Optionally, in a specific implementation, if the memory 501, processor 502, and communication interface 503 are integrated on a single chip, then the memory 501, processor 502, and communication interface 503 can communicate with each other through an internal interface.

[0104] 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 this application.

[0105] This embodiment also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the above-described method for enhancing permeability, production, and efficiency through the intelligent fusion of acoustic and electrical fusion in wells.

[0106] This application also provides a computer program product storing a computer program that, when executed by a processor, implements the above-mentioned method for enhancing permeability, production, and efficiency through the intelligent fusion of acoustic and electrical fusion in wells.

[0107] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0108] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0109] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0110] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied 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 processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0111] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using 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 techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0112] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0113] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0114] The storage medium mentioned above may be a read-only memory, a magnetic disk, or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application. Persons skilled in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A wellbore acoustic and electrical intelligent fusion permeability enhancement, production enhancement and efficiency enhancement system, characterized in that: include: An ultrasonic generator, used to generate ultrasonic waves meeting preset frequency and power conditions; A transient electromagnetic field generator, used to generate a transient electromagnetic field corresponding to the ultrasonic wave; A data monitoring module, used for monitoring environmental changes in the wellbore to generate monitoring data of the wellbore; A control module is used to generate a parameter combination that meets the preset optimal working conditions according to the monitoring data, and adjust the pulse mode of the ultrasonic generator according to the parameter combination, and adjust the working parameters of the ultrasonic wave and the transient electromagnetic field according to the pulse mode and the monitoring data to obtain a wellbore acoustic-electric coupling result that meets the preset optimal conditions.

2. The wellbore acoustic-electric intelligent fusion permeability enhancement, production enhancement and efficiency enhancement system according to claim 1 is characterized in that: The working parameters include at least one of the frequency, power and waveform of the ultrasonic wave and the intensity, pulse sequence and duration of the transient electromagnetic field.

3. The wellbore acoustic-electric intelligent fusion permeability enhancement, production enhancement and efficiency enhancement system according to claim 1 is characterized in that: The data monitoring module comprises: A collection unit, used to collect at least one geological condition among rock hardness, porosity and water content and at least one monitoring data among pressure, temperature and fluid characteristics in the wellbore; A data generating unit is used to obtain the monitoring data of the wellbore according to the at least one geological condition and the at least one monitoring data.

4. The wellbore acoustic-electric intelligent fusion permeability enhancement, production enhancement and efficiency enhancement system according to claim 1 is characterized in that: The control module comprises: A generating unit, configured to perform fitting optimization on the evaluation model parameters of the interaction between the ultrasonic wave and the transient electromagnetic field according to the monitoring data to obtain an optimization result; The iteration unit is used to iterate the fitness calculation, selection, crossover and mutation operations on the optimization result until the preset iteration termination condition is met, so as to obtain the parameter combination that meets the preset optimal working condition.

5. The wellbore acoustic-electric intelligent fusion permeability enhancement, production enhancement and efficiency enhancement system according to claim 4 is characterized in that: The control module also includes: An optimization unit, used for adjusting the ultrasonic wave to a continuous wave or a pulse wave according to the pulse mode and the monitoring data; The response unit is used to respond to the data change in the wellbore by using the continuous wave or the pulse wave, and obtain the wellbore acoustic-electric coupling result that meets the preset optimal condition according to the data change.

6. A method for increasing permeability, production and efficiency by intelligent fusion of acoustic and electrical wellbore, characterized in that: The wellbore acoustic-electric intelligent fusion permeability enhancement, production enhancement and efficiency enhancement system according to any one of claims 1 to 5 is used, and the method comprises the following steps: Generate ultrasonic waves that meet preset frequency and power conditions; generating a transient electromagnetic field corresponding to the ultrasonic wave; monitoring environmental changes within the wellbore to generate monitoring data of the wellbore; A parameter combination that meets the preset optimal working conditions is generated according to the monitoring data, and the pulse mode of the ultrasonic generator is adjusted according to the parameter combination, and the working parameters of the ultrasonic wave and the transient electromagnetic field are adjusted according to the pulse mode and the monitoring data to obtain a wellbore acoustic-electric coupling result that meets the preset optimal conditions.

7. The method for increasing permeability, production and efficiency by intelligent fusion of acoustic and electrical properties in wellbore according to claim 6 is characterized in that: The working parameters include at least one of the frequency, power and waveform of the ultrasonic wave and the intensity, pulse sequence and duration of the transient electromagnetic field.

8. An electronic device, characterized in that: include: 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 wellbore acoustic-electric intelligent fusion permeability enhancement, production enhancement, and efficiency enhancement method as described in any one of claims 6 to 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the wellbore acoustic-electric intelligent fusion permeability enhancement, production enhancement and efficiency enhancement method as described in any one of claims 6-7.

10. A computer program product, comprising a computer program, characterized in that The computer program is executed to implement the wellbore acoustic-electric intelligent fusion permeability enhancement, production enhancement and efficiency improvement method as described in any one of claims 6-7.

Images