A water drive feature detection method, system, device and storage medium

Abstract

This invention relates to the field of oil and gas field exploration and development technology, specifically proposing a method, system, equipment, and storage medium for detecting water drive characteristics. The water drive characteristic detection method includes the following steps: establishing a basic geological model based on basic well data, single-well logging data, and seismic interpretation data; obtaining a reservoir resistivity model by establishing a single-well longitudinal resistivity model based on the basic geological model and single-well resistivity data meeting preset conditions; obtaining resistivity change values ​​based on the reservoir resistivity model; and obtaining the detection results of water drive characteristics by evaluating the resistivity change values. This method avoids the problem of difficulty in measuring reservoir water drive characteristics or significant deviations in the final measurement results due to incompatibility between the measuring equipment and the long horizontal section structure of horizontal wells. It improves the measurement accuracy of water drive characteristics in reservoirs developed using horizontal wells, facilitating accurate control of reservoir water drive characteristics by operators.

Description

Technical Field

[0001] This invention belongs to the field of oil and gas field exploration and development technology, and specifically relates to a water drive characteristic detection method, system, equipment and storage medium. Background Technology

[0002] After water injection development in an oil reservoir, the water content in the well will rise rapidly, making the water content in the well complex and difficult to accurately control the water drive characteristics of the reservoir. This will make the development and management of the reservoir more difficult. Therefore, it is necessary to measure the water drive characteristics of the reservoir.

[0003] The water drive characteristics of existing oil reservoirs are generally measured using specialized measuring equipment installed in the well, allowing for various methods to assess these characteristics. However, due to the long horizontal sections in horizontal wells, existing water drive characteristic measuring equipment is difficult to adapt to these sections. This makes it challenging to measure the water drive characteristics of reservoirs developed using horizontal wells. Even if measurements can be taken, the final results often contain significant deviations, affecting operators' ability to accurately assess the water injection impact range after water injection development in horizontal well-developed reservoirs.

[0004] Therefore, it is difficult to accurately measure the water drive characteristics of reservoirs developed in a horizontal well manner using existing measurement equipment. Summary of the Invention

[0005] To address the above problems, this invention proposes a water-drive feature detection method, system, device, and storage medium, wherein the water-drive feature detection method includes the following steps;

[0006] A basic geological model is established based on basic well data, single-well logging data, and seismic interpretation data.

[0007] Based on the aforementioned basic geological model and single-well resistivity data that meet the preset conditions, a reservoir resistivity model is obtained by establishing a single-well vertical resistivity model.

[0008] Based on the reservoir resistivity model, the resistivity change value is obtained;

[0009] The detection results of water-drive characteristics are obtained by evaluating the resistivity change value.

[0010] In some specific embodiments, establishing a basic geological model based on basic well data and seismic interpretation data includes the following steps:

[0011] Based on the aforementioned basic well data, the target layer is divided, and the target layer division results are obtained;

[0012] Based on the target layer division results and the single-well logging data, oil and gas reservoirs are divided, and oil and gas reservoir division results are obtained.

[0013] Based on the oil and gas reservoir classification results and the seismic interpretation data, a basic geological model is obtained through fault modeling, structural modeling and lithofacies modeling in sequence.

[0014] In some specific embodiments, the process of obtaining a reservoir resistivity model by establishing a single-well vertical resistivity model based on the basic geological model and single-well resistivity data that meets preset conditions includes the following steps:

[0015] Based on the aforementioned basic geological model, resistivity data of single wells that meet preset conditions are selected, and the single wells are vertically divided to obtain the vertical division results of the single wells.

[0016] Based on the vertical division results, a single-well vertical resistivity model is established according to the single-well logging data.

[0017] Based on the single-well longitudinal resistivity model, the reservoir resistivity model is obtained.

[0018] In some specific embodiments, the single-well longitudinal resistivity model is established by interpolation to create the reservoir resistivity model.

[0019] In some specific embodiments, obtaining the resistivity change value based on the reservoir resistivity model includes the following steps:

[0020] Based on the reservoir resistivity model, the resistivity data of the well and the reservoir resistivity data were obtained;

[0021] Based on the resistivity data of the well and the resistivity data of the reservoir, the resistivity change value is obtained.

[0022] In some specific embodiments, obtaining the resistivity change value based on the resistivity data of the well and the resistivity data of the reservoir includes the following steps:

[0023] Based on the resistivity data of the well passage and the resistivity data of the reservoir, the original resistivity value of the well passage and the logging resistivity value of the well passage are extracted respectively.

[0024] Based on the original resistivity value of the well passage and the well logging resistivity value of the well passage, a resistivity analysis formula is established.

[0025] The resistivity change value is obtained based on the resistivity analysis formula.

[0026] In some specific embodiments, the resistivity analysis formula is:

[0027] △R=(R(ori)-R(log))×100 / R(ori);

[0028] Where ΔR is the resistivity change value, R(ori) is the original resistivity value of the well passing through the road, and R(log) is the logging resistivity value of the well passing through the road.

[0029] In some specific embodiments, obtaining the detection results of water drive characteristics by evaluating the resistivity change value includes the following steps:

[0030] Define the first preset range, the second preset range, and the third preset range;

[0031] Determine whether the resistivity change value is within a first preset range, a second preset range, or a third preset range, and obtain the location of the resistivity change value.

[0032] The detection result is obtained based on the location of the resistivity change value.

[0033] A water-drive feature detection system based on the same concept includes:

[0034] The modeling unit is used to build a basic geological model based on basic well data, single-well logging data, and seismic interpretation data;

[0035] The conversion unit is used to obtain the reservoir resistivity model by establishing a single-well vertical resistivity model based on the basic geological model and single-well resistivity data that meet preset conditions.

[0036] The calculation unit is used to obtain the resistivity change value based on the reservoir resistivity model;

[0037] The judgment unit is used to obtain the detection result of the water drive characteristics by evaluating the resistivity change value.

[0038] An electronic device based on the same concept includes: at least one processor and at least one memory, wherein the memory is data-connected to the processor;

[0039] The memory stores instructions that can be executed by at least one of the processors, and the instructions are executed by at least one of the processors to enable the at least one of the processors to perform the water-drive feature detection method described in any of the above specific embodiments.

[0040] A computer storage medium based on the same concept, the computer storage medium storing one or more instructions;

[0041] When executed by one or more computers, the instructions cause one or more computers to perform the water-drive feature detection method described in any of the above specific embodiments.

[0042] The water drive characteristic detection method of this invention establishes a basic geological model of the reservoir based on existing basic well data, single-well logging data, and seismic interpretation data. After combining this model with single-well resistivity data meeting preset conditions, the reservoir resistivity model is further obtained using the resulting single-well longitudinal resistivity model. Analysis of the reservoir resistivity model determines the resistivity changes of multiple reservoirs corresponding to each preset time. The water drive characteristics are then evaluated using these resistivity changes to obtain detection results. This method replaces the traditional method of using dedicated measuring equipment for measurement and evaluation, avoiding the problem of difficulty in measuring water drive characteristics in horizontally developed reservoirs or significant deviations in the final measurement results due to incompatibility between the measuring equipment and the long horizontal sections in horizontal wells. It improves the accuracy of water drive characteristic measurement in horizontally developed reservoirs, allowing operators to accurately control the water drive characteristics of the reservoir.

[0043] The water drive feature detection system of the present invention is used to apply the water drive feature detection method described above, so it has the same beneficial effects as the water drive feature detection method described above, and therefore will not be described again here.

[0044] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures pointed out in the description and the drawings. Attached Figure Description

[0045] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0046] Figure 1 A flowchart of the water-drive feature detection method in an embodiment of the present invention is shown;

[0047] Figure 2 Cross-sectional views of several individual wells in the test reservoir are shown;

[0048] Figure 3 A schematic diagram of a water-drive feature detection system according to an embodiment of the present invention is shown. Detailed Implementation

[0049] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0050] Reference Figure 1 The present invention provides a water-drive feature detection method, comprising the following steps.

[0051] A basic geological model is established based on basic well data, single-well logging data, and seismic interpretation data.

[0052] Specifically, based on basic well data and seismic interpretation data, a basic geological model is established, including the following steps:

[0053] Based on baseline well data, target layers are delineated, and the delineation results are obtained. This is done by using existing baseline well data and pre-measured porous carbonate reservoir and fluid properties to delineate target layers, thus obtaining the target layer delineation results.

[0054] Based on the target layer delineation results and single-well logging data, oil and gas reservoirs are delineated, and oil and gas reservoir delineation results are obtained. By combining the obtained target layer delineation results with existing single-well logging data, oil and gas reservoirs are further delineated, thereby obtaining oil and gas reservoir delineation results. These oil and gas reservoir delineation results are used to determine whether oil and gas exist in the target layer and to measure whether the oil and gas production in the target layer meets the requirements.

[0055] Based on the results of oil and gas reservoir classification and seismic interpretation data, a basic geological model is obtained through fault modeling, structural modeling, and lithofacies modeling in sequence. According to the obtained oil and gas reservoir classification results, fault modeling, structural modeling, and lithofacies modeling are performed sequentially to establish the basic geological model of the reservoir.

[0056] Fault modeling involves modeling underground faults based on the acquired hydrocarbon reservoir classification results and seismic interpretation data. Structural modeling involves modeling the vertical and horizontal distribution of underground strata based on the acquired hydrocarbon reservoir classification results and seismic interpretation data. Lithofacies modeling involves modeling the combined geological response results of the age of underground rocks based on the acquired hydrocarbon reservoir classification results and seismic interpretation data.

[0057] It should be noted that fault modeling, structural modeling, and lithofacies modeling are all existing methods.

[0058] Based on the basic geological model and single-well resistivity data that meet the preset conditions, the reservoir resistivity model is obtained by establishing a single-well vertical resistivity model.

[0059] Specifically, based on the basic geological model and single-well resistivity data that meet preset conditions, a reservoir resistivity model is obtained by establishing a single-well vertical resistivity model, including the following steps:

[0060] Based on the fundamental geological model, resistivity data from single wells meeting preset conditions are selected, and the single wells are vertically divided to obtain the vertical division results. According to the established fundamental geological model of the reservoir, combined with single-well logging data, single wells that represent the original resistivity of the reservoir (i.e., the resistivity of the oil and gas reservoir before exploitation or in its original state) are selected. Through logging response analysis of the selected single wells, and based on the lateral distribution characteristics of the reservoir and sedimentary facies at the location of the selected single well, the reservoir of the selected single well is vertically divided, thereby obtaining the corresponding vertical division results of the single-well reservoir.

[0061] It should be noted that the single-well resistivity data under the preset conditions mainly include the single-well resistivity data at the initial stage of reservoir development, the single-well resistivity data after the reservoir has been in production for a preset time, and the single-well resistivity data when the reservoir has not started production or water injection. By combining the above data, the single-well resistivity data that meets the preset conditions can be obtained.

[0062] Based on the vertical segmentation results, a single-well vertical resistivity model is established using single-well logging data. Based on the vertical segmentation results of the single-well reservoir, the resistivity data of each well, obtained from existing single-well logging data, is combined with the established basic geological model. The basic geological model is then adjusted and its quality controlled to further establish the corresponding single-well vertical resistivity model.

[0063] Based on the single-well vertical resistivity model, a reservoir resistivity model is obtained. Using the vertical resistivity data of the single well within the established single-well vertical resistivity model as a basis, the vertical resistivity data of the single well is interpolated using the Kriging algorithm to further establish the reservoir resistivity model.

[0064] Based on the reservoir resistivity model, the resistivity change value is obtained.

[0065] Specifically, based on the reservoir resistivity model, the resistivity change value is obtained, including the following steps:

[0066] Resistivity data of both the wellbore and the reservoir are obtained based on the reservoir resistivity model. After water injection is initiated into the oil and gas reservoir, the resistivity of the reservoir resistivity model is recorded at preset time points, allowing the extraction of corresponding wellbore and reservoir resistivity data. The wellbore resistivity data represents the resistivity data from the logging of a single well at the preset time point, while the reservoir resistivity data represents the resistivity of the oil and gas reservoir before exploitation, i.e., when the reservoir is in its original state.

[0067] Based on the resistivity data of the well and the reservoir, the resistivity change value is obtained. By extracting the resistivity data of the single well at a preset time point and the resistivity data of the oil and gas reservoir in its original state, and based on the existing original resistivity curve model of the reservoir, the resistivity change value corresponding to the preset time point is obtained.

[0068] Furthermore, based on the resistivity data of the well and the reservoir resistivity data, the resistivity change value is obtained, including the following steps:

[0069] Based on the resistivity data of the wells passing through the reservoir and the resistivity data of the reservoir, the original resistivity values ​​and logging resistivity values ​​of the wells passing through the reservoir are extracted. Based on the extracted logging resistivity data of the single well at a preset time point and the resistivity data of the reservoir in its original state, the logging resistivity values ​​of the wells passing through the reservoir corresponding to the preset time point and the original resistivity values ​​of the wells passing through the reservoir corresponding to the resistivity data of the reservoir in its original state are extracted.

[0070] Based on the original resistivity values ​​and logging values ​​of the wells passing through the reservoir, a resistivity analysis formula is established. Using the further extracted original and logging resistivity values ​​of the wells passing through the reservoir, and based on the existing reservoir's original resistivity curve model, the corresponding resistivity analysis formula can be directly established. This formula facilitates the subsequent acquisition of the corresponding reservoir resistivity changes, enabling operators to accurately control the reservoir's water drive characteristics.

[0071] Based on the resistivity analysis formula, the resistivity change value is obtained. The original resistivity value and logging value of the well are extracted and substituted into the established resistivity analysis formula. By solving the resistivity analysis formula, the resistivity change value of the reservoir corresponding to the preset time point can be obtained.

[0072] It should be noted that the resistivity analysis formula established for analyzing the resistivity change value of the oil reservoir is as follows:

[0073] △R=(R(ori)-R(log))×100 / R(ori).

[0074] Wherein, △R is the resistivity change value of the reservoir, R(ori) is the original resistivity value of the well corresponding to the resistivity data when the oil and gas reservoir is in its original state, and R(log) is the logging resistivity value of the well corresponding to the preset time point.

[0075] By substituting the extracted original resistivity value and well logging resistivity value of the through well into the established resistivity analysis formula, the resistivity change value of the reservoir corresponding to the preset time point can be directly obtained.

[0076] The detection results of water-drive characteristics are obtained by evaluating the change in resistivity.

[0077] Specifically, the detection results of water drive characteristics are obtained by evaluating the resistivity change value, including the following steps:

[0078] A first, second, and third preset range are defined. For the resistivity changes of the potential reservoir, a first, second, and third preset range are defined respectively. These three preset ranges do not overlap, allowing for a detailed evaluation of the resistivity changes of the potential reservoir using these ranges, facilitating accurate control of the reservoir's waterdrive characteristics by operators.

[0079] The resistivity change value is determined to be within a first, second, or third preset range to obtain its location. The obtained resistivity change value of the reservoir corresponding to the preset time point is then substituted into the first, second, and third preset ranges respectively to determine whether the obtained resistivity change value of the reservoir corresponding to the preset time point meets the conditions of the first, second, or third preset range, thereby determining the specific location of the resistivity change value of the reservoir corresponding to the preset time point.

[0080] The first preset range is ΔR≤15%, the second preset range is 15%<ΔR<50%, and the third preset range is 50%≤ΔR.

[0081] The detection results are obtained based on the location of the resistivity change value. Once the specific location of the reservoir resistivity change value corresponding to a preset time point is determined, the water drive characteristics can be evaluated based on this location, thus obtaining the final detection results for the water drive characteristics. When the reservoir resistivity change value is within the first preset range (i.e., ΔR ≤ 15%), the sweep intensity of the water drive characteristics can be determined as weak. When the reservoir resistivity change value is within the second preset range (i.e., 15% < ΔR < 50%), the sweep intensity of the water drive characteristics can be determined as medium. When the reservoir resistivity change value is within the third preset range (i.e., 50% ≤ ΔR), the sweep intensity of the water drive characteristics can be determined as strong. Thus, the detection results of the reservoir's water drive characteristics are obtained.

[0082] The water drive characteristic detection method of the present invention can replace the original method of setting up special measuring equipment for measurement and evaluation. This avoids the problem that it is difficult to measure the water drive characteristics of reservoirs developed in the form of horizontal wells due to the incompatibility between the measuring equipment and the long horizontal section structure in the horizontal well, or the final measurement results have large deviations. This improves the measurement accuracy of the water drive characteristics of reservoirs developed in the form of horizontal wells, so that operators can accurately control the water drive characteristics of the reservoir.

[0083] Furthermore, after obtaining the detection results of water drive characteristics by evaluating the resistivity change value, the following steps are set:

[0084] Based on the detection results, combined with reservoir production data and reservoir water injection data, dynamic detection results of the reservoir are obtained. By combining the obtained detection results of the reservoir's water drive characteristics with the reservoir's production data and reservoir water injection data, the correlation between the detection results of the reservoir's water drive characteristics and the reservoir's production data and water injection data can be obtained. This allows operators to obtain dynamic detection results about the reservoir's water drive characteristics, enabling them to accurately control the reservoir's water drive characteristics.

[0085] Verification example:

[0086] The experiment was conducted using an existing test reservoir, which is characterized by stable lateral distribution of reservoir and sedimentary facies and strong vertical heterogeneity.

[0087] First, the basic geological model of the experimental reservoir is established using the water drive characteristic detection method of the present invention.

[0088] Secondly, wells that meet the criteria of being in the early stages of development, having a short production time, and not being injected with water were selected as representative wells of the original resistivity of the experimental reservoir. The reservoir of these wells was then vertically subdivided. Simultaneously, based on the established basic geological model, a single-well vertical resistivity model was further developed. Furthermore, considering the requirement that the selected well areas cover the high, middle, and low portions of the reservoir distribution, the subdivided data from these wells were used as the basis for interpolation using the Kriging algorithm, thereby establishing the reservoir resistivity model for the experimental reservoir.

[0089] Third, water injection was performed on the test reservoir, resulting in multiple wells passing through it. This allowed for the extraction of resistivity curves representing the resistivity data of these wells from the established reservoir resistivity model. Based on the existing original resistivity curve model of the test reservoir, corresponding resistivity analysis formulas could be directly established. By extracting the logging resistivity values ​​and original resistivity values ​​of the passing wells and substituting them into the aforementioned resistivity analysis formulas, the resistivity change value of the test reservoir could be obtained.

[0090] Finally, through the analysis and evaluation of resistivity changes, the following results were obtained: the higher part of the reservoir in the vertical direction of the test oil reservoir showed obvious water flooding characteristics, high sweep intensity of injected water, and relatively complete water washing; the lower part of the reservoir in the vertical direction of the test oil reservoir did not show obvious water flooding characteristics, with no or weak water injection sweep intensity; and the middle part of the reservoir in the vertical direction of the test oil reservoir showed obvious water flooding characteristics in some locations and insignificant water flooding characteristics in others, with moderate water injection sweep intensity.

[0091] Reference Figure 2 After comparison, it was found that the detection results obtained by the water drive feature detection method of the present invention are consistent with the original measured results obtained by pulse electronic logging, which shows that the water drive feature detection method of the present invention is effective.

[0092] Reference Figure 3 This invention also provides a waterdrive characteristic detection system, comprising: a modeling unit, a conversion unit, a calculation unit, and a judgment unit. The modeling unit is used to establish a basic geological model based on basic well data, single-well logging data, and seismic interpretation data. The conversion unit is used to obtain a reservoir resistivity model by establishing a single-well vertical resistivity model based on the basic geological model and single-well resistivity data meeting preset conditions. The calculation unit is used to obtain resistivity change values ​​based on the reservoir resistivity model. The judgment unit is used to obtain the detection results of waterdrive characteristics by evaluating the resistivity change values.

[0093] The present invention also provides an electronic device, comprising: at least one processor and at least one memory, the memory being data-connected to the processor. The memory stores instructions executable by at least one processor, and the instructions are executed by at least one processor to enable at least one processor to perform the water-driven feature detection method described in any of the above specific embodiments.

[0094] The present invention also provides a computer storage medium storing one or more instructions. When executed by one or more computers, the instructions cause the one or more computers to perform the water-drive feature detection method described in any of the above specific embodiments.

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

Claims

1. A method for detecting water-drive features, characterized in that, Includes the following steps; A basic geological model is established based on basic well data, single-well logging data, and seismic interpretation data. Based on the aforementioned basic geological model and single-well resistivity data that meet the preset conditions, a reservoir resistivity model is obtained by establishing a single-well vertical resistivity model. Based on the reservoir resistivity model, the resistivity change value is obtained; The detection results of water-drive characteristics are obtained by evaluating the resistivity change value.

2. The water-drive feature detection method according to claim 1, characterized in that, The process of establishing a basic geological model based on foundational well data and seismic interpretation data includes the following steps: Based on the aforementioned basic well data, the target layer is divided, and the target layer division results are obtained; Based on the target layer division results and the single-well logging data, oil and gas reservoirs are divided, and oil and gas reservoir division results are obtained. Based on the oil and gas reservoir classification results and the seismic interpretation data, a basic geological model is obtained through fault modeling, structural modeling and lithofacies modeling in sequence.

3. The water-drive feature detection method according to claim 1, characterized in that, The process of obtaining a reservoir resistivity model by establishing a single-well vertical resistivity model based on the aforementioned basic geological model and single-well resistivity data meeting preset conditions includes the following steps: Based on the aforementioned basic geological model, resistivity data of single wells that meet preset conditions are selected, and the single wells are vertically divided to obtain the vertical division results of the single wells. Based on the vertical division results, a single-well vertical resistivity model is established according to the single-well logging data. Based on the single-well longitudinal resistivity model, the reservoir resistivity model is obtained.

4. The water-drive feature detection method according to claim 3, characterized in that, The single-well longitudinal resistivity model is established by interpolation to create the reservoir resistivity model.

5. The water-drive feature detection method according to claim 1, characterized in that, The process of obtaining resistivity change values ​​based on the reservoir resistivity model includes the following steps: Based on the reservoir resistivity model, the resistivity data of the well and the reservoir resistivity data were obtained; Based on the resistivity data of the well and the resistivity data of the reservoir, the resistivity change value is obtained.

6. The water-drive feature detection method according to claim 5, characterized in that, The process of obtaining the resistivity change value based on the resistivity data of the well and the resistivity data of the reservoir includes the following steps: Based on the resistivity data of the well passage and the resistivity data of the reservoir, the original resistivity value of the well passage and the logging resistivity value of the well passage are extracted respectively. Based on the original resistivity value of the well passage and the well logging resistivity value of the well passage, a resistivity analysis formula is established. The resistivity change value is obtained based on the resistivity analysis formula. The resistivity analysis formula is as follows: △R=(R(ori)-R(log))×100 / R(ori); △R is the resistivity change value, R(ori) is the original resistivity value of the well passing through the road, and R(log) is the logging resistivity value of the well passing through the road.

7. The water-drive feature detection method according to any one of claims 1 to 6, characterized in that, The method of obtaining the detection results of water drive characteristics by evaluating the resistivity change value includes the following steps: Define the first preset range, the second preset range, and the third preset range; Determine whether the resistivity change value is within a first preset range, a second preset range, or a third preset range, and obtain the location of the resistivity change value. The detection result is obtained based on the location of the resistivity change value.

8. A water-drive feature detection system, characterized in that, include: The modeling unit is used to build a basic geological model based on basic well data, single-well logging data, and seismic interpretation data; The conversion unit is used to obtain the reservoir resistivity model by establishing a single-well vertical resistivity model based on the basic geological model and single-well resistivity data that meet preset conditions. The calculation unit is used to obtain the resistivity change value based on the reservoir resistivity model; The judgment unit is used to obtain the detection result of the water drive characteristics by evaluating the resistivity change value.

9. An electronic device, characterized in that, include: At least one processor and at least one memory, wherein the memory is data-connected to the processor; The memory stores instructions that can be executed by at least one of the processors, and the instructions are executed by at least one of the processors to enable the at least one of the processors to perform the water-drive feature detection method according to any one of claims 1 to 7.

10. A computer storage medium, characterized in that, The computer storage medium stores one or more instructions; When executed by one or more computers, the instructions cause one or more computers to perform the water-drive feature detection method according to any one of claims 1 to 7.

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