Method, device and equipment for identifying flooding level of to-be-developed drilling well and medium

Abstract

The invention discloses a method, a device and equipment for identifying the flooding level of a to-be-developed drilling well and a medium. The method comprises the following steps: determining typical water flooded layers, and determining resistivity thresholds between the water flooded layers; rock-electricity parameters and formation water resistivity corresponding to the to-be-developed drilling well are determined; determining a porosity parameter corresponding to the to-be-developed drilling well, and determining a critical change curve between the critical water saturation of the to-be-developed drilling well under different water flooded layers and the porosity parameter based on a resistivity threshold value, a rock electricity parameter, the formation water resistivity and the porosity parameter; and on the basis of the porosity parameter, the rock electricity parameter, the formation water resistivity, the conventional logging curve and the critical change curve corresponding to the to-be-developed drilling well, determining a flooding level identification result corresponding to the to-be-developed drilling well. According to the invention, accurate identification of the to-be-developed well flooding level can be realized, the flexibility and accuracy of well flooding level identification are greatly improved, and the identification efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular, to a method, device, equipment and medium for identifying the water flooding level of a to-be-developed well Background Art

[0002] During the oilfield development process, affected by water injection drive or edge-bottom water advancement, the oil reservoir will be water flooded to varying degrees. How to achieve simple and efficient identification of the water flooding level of the water flooded layer is a key technical issue for the evaluation of remaining oil saturation and oilfield production increase.

[0003] Currently, the traditional method for identifying the water flooding level usually judges the water flooding degree of the oil reservoir by establishing an accurate evaluation model of irreducible water saturation. However, the traditional method for identifying the water flooding level has poor flexibility, cannot ensure the accuracy of identifying the water flooding level under complex porosity structures, and has a low identification efficiency. Summary of the Invention

[0004] The present invention provides a method, device, equipment and medium for identifying the water flooding level of a to-be-developed well, so as to achieve accurate identification of the water flooding level of the to-be-developed well, greatly improve the flexibility and accuracy of identifying the water flooding level of the well, and improve the identification efficiency.

[0005] According to one aspect of the present invention, there is provided a method for identifying the water flooding level of a to-be-developed well, the method comprising:

[0006] Based on the production data of the developed wells corresponding to the target area, determining the typical water flooded layers corresponding to the target area, and determining the resistivity thresholds between the water flooded layers;

[0007] Based on the rock-electric experiment data and formation water sample measurement data of the to-be-developed well corresponding to the target area, determining the rock-electric parameters and formation water resistivity corresponding to the to-be-developed well, the rock-electric parameters including: lithology coefficient, cementation exponent and saturation exponent;

[0008] Determining the porosity parameters corresponding to the to-be-developed well, and based on the resistivity thresholds, the rock-electric parameters, the formation water resistivity and the porosity parameters, determining the critical change curve between the critical water saturation and the porosity parameters of the to-be-developed well under different water flooded layers;

[0009] Based on the porosity parameters, the rock-electric parameters, the formation water resistivity, the conventional logging curves and the critical change curve corresponding to the to-be-developed well, determining the identification result of the water flooding level corresponding to the to-be-developed well.

[0010] According to another aspect of the present invention, there is provided a device for identifying the water flooding level of a to-be-developed well, the device comprising:

[0011] A typical water - flooded layer determination module, which is used to determine the typical water - flooded layers corresponding to the target area based on the production data of the developed wells corresponding to the target area, and determine the resistivity thresholds between the water - flooded layers.

[0012] A litho - electric parameter determination module, which is used to determine the litho - electric parameters and formation water resistivity corresponding to the well to be developed based on the litho - electric experiment data and formation water sample measurement data of the well to be developed corresponding to the target area. The litho - electric parameters include: lithology coefficient, cementation index, and saturation index.

[0013] A critical change curve determination module, which is used to determine the porosity parameters corresponding to the well to be developed, and based on the resistivity thresholds, the litho - electric parameters, the formation water resistivity, and the porosity parameters, determine the critical change curve between the critical water saturation and the porosity parameters of the well to be developed under different water - flooded layers.

[0014] A water - flooded level determination module, which is used to determine the identification result of the water - flooded level corresponding to the well to be developed based on the porosity parameters, the litho - electric parameters, the formation water resistivity, the conventional logging curves, and the critical change curve corresponding to the well to be developed.

[0015] According to another aspect of the present invention, there is provided an electronic device, which includes:

[0016] At least one processor; and

[0017] A memory communicatively connected to the at least one processor; wherein,

[0018] The memory stores a computer program executable by the at least one processor. When the computer program is executed by the at least one processor, the at least one processor is enabled to execute the method for identifying the water - flooded level of the well to be developed according to any embodiment of the present invention.

[0019] According to another aspect of the present invention, there is provided a computer - readable storage medium, which stores computer instructions. When the computer instructions are executed by a processor, the method for identifying the water - flooded level of the well to be developed according to any embodiment of the present invention is realized.

[0020] In the technical solution of the embodiment of the present invention, based on the production data of the developed wells corresponding to the target area, the typical watered-out zones corresponding to the target area are determined, and the resistivity thresholds between the watered-out zones are determined, so as to provide a judgment basis for subsequent watered-out level identification and reduce the identification error. Based on the petrophysical experiment data and formation water sample measurement data of the wells to be developed corresponding to the target area, the petrophysical parameters and formation water resistivity corresponding to the wells to be developed are determined. The petrophysical parameters include: lithology coefficient, cementation exponent, and saturation exponent; the porosity parameters corresponding to the wells to be developed are determined, and based on the resistivity threshold, the petrophysical parameters, the formation water resistivity, and the porosity parameters, the critical change curve between the critical water saturation and the porosity parameters of the wells to be developed under different watered-out zones can be determined, which can provide a data basis for subsequent watered-out levels. Based on the porosity parameters, the petrophysical parameters, the formation water resistivity, the conventional logging curves, and the critical change curve corresponding to the wells to be developed, the watered-out level identification result corresponding to the wells to be developed is determined, which improves the flexibility and accuracy of watered-out level identification and improves the identification efficiency. By determining the typical watered-out levels corresponding to the target area, it is ensured that the division of watered-out levels matches the geological characteristics of the target area, a dynamic relationship curve between porosity and critical water saturation is established, which can adapt to different reservoir conditions, and by integrating logging curves, petrophysical parameters, and formation water resistivity, accurate identification of the watered-out levels of the wells to be developed is achieved, greatly improving the flexibility and accuracy of well watered-out level identification and improving the identification efficiency.

[0021] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0023] Figure 1 is a flowchart of a method for identifying the watered-out level of a well to be developed according to Embodiment 1 of the present invention;

[0024] Figure 2 is an example diagram of a critical change curve related to Embodiment 1 of the present invention

[0025] Figure 3 is a flowchart of a method for identifying the watered-out level of a well to be developed according to Embodiment 2 of the present invention;

[0026] Figure 4 It is an example diagram of a cross plot of integrated logging curves according to Embodiment 2 of the present invention;

[0027] Figure 5 It is a schematic structural diagram of a water flooding level identification device for a to-be-developed well according to Embodiment 3 of the present invention;

[0028] Figure 6 It is a schematic structural diagram of an electronic device for implementing the method for identifying the water flooding level of a to-be-developed well according to the embodiment of the present invention. Detailed implementation manners

[0029] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0030] It should be noted that the terms "first", "second", "target", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and do not have to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described here can be implemented in an order different from those illustrated or described here. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0031] Embodiment 1

[0032] Figure 1 This is a flowchart of a method for identifying the water flooding level of a to-be-developed well provided in Embodiment 1 of the present invention. This embodiment is applicable to the situation of identifying the water flooding level of a to-be-developed well. This method can be executed by a water flooding level identification device for a to-be-developed well, and the water flooding level identification device for a to-be-developed well can be implemented in the form of hardware and / or software. The water flooding level identification device for a to-be-developed well can be configured in an electronic device. As Figure 1 shown, the method includes:

[0033] S110. Based on the production data of the developed wells corresponding to the target area, determine the typical watered-out zones corresponding to the target area, and determine the resistivity thresholds between the watered-out zones.

[0034] Among them, the target area can refer to a specific geological area to be studied, usually having similar sedimentary environments, lithological characteristics, and fluid properties, which is the spatial scope for carrying out the identification work of water flooding levels. The developed wells can refer to oil wells or gas wells that have completed drilling, been put into production, and are continuously producing in the target area, with complete production histories and logging data. The production data can refer to the data related to fluid production recorded during the production process of the developed wells, including oil production, water production, water production rate, water saturation, pressure changes, etc. The typical watered-out zones can refer to different levels (such as weak water flooding, medium water flooding, strong water flooding) obtained by dividing the watered-out zones of the developed wells according to the distribution characteristics of water saturation or water production rate in the production data. The resistivity threshold can refer to the demarcation point of the resistivity logging value (such as the true resistivity of the formation) between different water flooding levels, which can be used to distinguish adjacent water flooding grades.

[0035] Specifically, based on the production data of the developed wells in the target area, including water production rate, water saturation, resistivity curve, etc., divide the watered-out zones of the developed wells into different levels (such as weak water flooding, medium water flooding, strong water flooding, etc.), and take the watered-out zones of different water flooding levels as the typical watered-out zones corresponding to the target area. For each watered-out zone, count the corresponding resistivity distribution range and determine the resistivity thresholds between different water flooding levels. Through clear water flooding level division and resistivity thresholds, it can provide a reliable basis for subsequent water flooding level identification and reduce the identification error.

[0036] Exemplarily, "Based on the production data of the developed wells corresponding to the target area, determine the typical watered-out zones corresponding to the target area" in S110 can include: based on the production data of the developed wells corresponding to the target area, determine the water cut parameters of the developed wells at different drilling depths; based on the preset water cut threshold and the water cut parameters of the developed wells at different drilling depths, divide the target area to determine the typical watered-out zones corresponding to the target area.

[0037] Among them, the water cut parameter can refer to the volume ratio of water in the reservoir-produced fluid, reflecting the water flooding efficiency and reservoir water flooding degree during the reservoir development process. The preset water cut threshold can refer to the maximum water cut value at each water flooding level set in advance.

[0038] Specifically, based on the production data of the developed wells corresponding to the target area, the water flooding degree differences in different depth segments of the reservoir are clarified, the depth-water cut curve of the developed wells is determined, and the water cut parameters of the developed wells at different drilling depths are obtained. The water cut parameters of the developed wells at different drilling depths are compared with the preset water cut threshold to determine the water flooding levels of the developed wells at different drilling depths, determine the water flooded layers of the developed wells at different drilling depths, and determine the water flooded layers as the typical water flooded layers corresponding to the target area, thereby providing a data basis for subsequent water flooding level identification.

[0039] Exemplarily, "determining the resistivity threshold between each water flooded layer" in S110 may include: extracting the resistivity characteristics of each water flooded layer to determine the resistivity characteristic values of the water flooded layer at the corresponding drilling depth; determining the resistivity change range corresponding to each water flooded layer based on the resistivity characteristic values, and determining the resistivity threshold between each water flooded layer according to the resistivity change range.

[0040] Among them, the resistivity characteristic value may refer to the true formation resistivity of each depth of the water flooded layer. The true formation resistivity may be a physical parameter characterizing the conductivity of formation rocks, referring to the true resistance when current vertically flows through a unit cross-sectional area and a unit length of rock, reflecting the inherent electrical characteristics of the formation without being disturbed by external factors such as drilling fluid invasion and surrounding rocks.

[0041] Specifically, extract the resistivity characteristics of each water flooded layer to obtain the resistivity characteristic values of each water flooded layer at the corresponding drilling depth, and divide the resistivity characteristic values under different water flooding degrees according to the water flooded layer corresponding to the resistivity characteristic values to determine the resistivity change range corresponding to each water flooded layer. According to the resistivity change range, determine the resistivity characteristic values at the adjacent positions of each water flooded layer, and determine the resistivity characteristic values at the adjacent positions as the resistivity threshold between each water flooded layer, thereby clarifying the boundary values of the resistivity of each water flooding level and providing a basis for subsequent automatic division of water flooding levels.

[0042] Exemplarily, determining the resistivity change range corresponding to each water flooded layer based on the resistivity characteristic values includes: classifying the resistivity characteristic values based on a preset binary classification model to determine the resistivity change range corresponding to each water flooded layer. The preset binary classification model includes a support vector machine, and the water flooded layers include: non-water flooded layer, weakly water flooded layer, moderately water flooded layer, strongly water flooded layer, and extremely strongly water flooded layer.

[0043] Among them, the preset binary classification model can refer to a core algorithm in machine learning and statistics that is pre-set and used to strictly divide input data into two mutually exclusive categories (such as "yes / no", "normal / anomalous", "present / absent"). The un-flooded layer can refer to the original fluid distribution in the reservoir that has not been affected by water injection displacement, and the oil-phase permeability remains in its original state. The weakly flooded layer can refer to the part of the reservoir affected by water injection, where the oil-phase permeability begins to decline, but the water phase does not form a continuous flow channel. The moderately flooded layer can refer to the reservoir effectively displaced by water injection, where both oil and water phases coexist in flow, and the oil-phase permeability decreases significantly. The strongly flooded layer can refer to the reservoir completely broken through by water injection, where the water phase becomes the main flowing phase and the oil-phase permeability is extremely low. The extremely strongly flooded layer can refer to the reservoir where water injection breakthrough occurs due to large pores or fractures, and the oil-phase flow capacity is completely lost.

[0044] Specifically, different water-flooded layers of different flooding levels can be divided into multiple rounds of binary classification tasks through a preset binary classification model (such as a support vector machine), and the resistivity characteristic values extracted from different water-flooded layers can be divided, which can improve the division accuracy and obtain the resistivity change range corresponding to each water-flooded layer. The preset binary classification model includes a support vector machine, and the water-flooded layers include: un-flooded layer, weakly flooded layer, moderately flooded layer, strongly flooded layer, and extremely strongly flooded layer.

[0045] Exemplarily, dividing the resistivity of different flooding degrees is a typical binary classification problem. As a typical solution to binary classification problems, the maximum margin classification principle and the structural risk minimization theory of the support vector machine enable it to obtain a stable and efficient classification criterion. In order to achieve the promotion of the established threshold in new wells, using a linear kernel function (Support Vector Machine, SVM) can obtain a classification criterion with clear meaning.

[0046] f(x) = w T x + b

[0047] Among them, x is the input characteristic value; w is the weight vector, indicating the contribution degree of the characteristic to classification; b is the bias term, determining the position of the decision boundary; T represents the transpose of a matrix or vector.

[0048] Through this method, the resistivity thresholds between the un-flooded layer, weakly flooded layer, moderately flooded layer, strongly flooded layer, and extremely strongly flooded layer can be judged through iterative division. For example, the judgment results can be 2.69 Ω·m, 1.74 Ω·m, 1.30 Ω·m, and 0.848 Ω·m respectively.

[0049] S120. Based on the rock-electric experiment data and formation water sample measurement data corresponding to the target area's to-be-developed well, determine the rock-electric parameters and formation water resistivity corresponding to the to-be-developed well. The rock-electric parameters include: lithology coefficient, cementation index, and saturation index.

[0050] Among them, the wells to be developed for drilling can refer to the wells that have not been put into production in the target area, and their development potential needs to be evaluated by identifying the water flooding level. The rock-electricity experiment data can refer to the electrical parameters of rock samples obtained through core analysis experiments, which reflect the relationship between rock conductivity and pore structure. The formation water sample measurement data can refer to the fluid property data obtained by analyzing the formation water samples collected from the target area, including salinity, ion concentration, temperature, etc. The rock-electricity parameters can refer to the parameters that describe the relationship between rock conductivity and pore structure and fluid saturation, including lithology coefficient, cementation index, and saturation index. The formation water resistivity can refer to the resistivity of pure water under the formation conditions of the target area, which reflects the conductivity of formation water. The lithology coefficient can refer to the correction coefficient that reflects the influence of rock skeleton conductivity on resistivity. The cementation index can refer to the index that characterizes the influence of rock cementation degree on conductivity and reflects the complexity of pore structure. The saturation index can refer to the degree of non-linearity that describes the influence of water saturation change on resistivity.

[0051] Specifically, obtain the rock-electricity experiment data and formation water sample measurement data of the wells to be developed for drilling corresponding to the target area, and determine the lithology coefficient, cementation index, and saturation index of the wells to be developed for drilling based on the rock-electricity experiment data to obtain the rock-electricity parameters; measure parameters such as salinity and ion concentration of the wells to be developed for drilling according to the formation water sample measurement data, and calculate the formation water resistivity, so as to improve the calculation accuracy of subsequent water saturation.

[0052] Exemplarily, the rock-electricity experiment data is determined through rock-electricity experiments. Rock-electricity experiment is an important means of rock physics research, and it mainly determines the values of rock-electricity parameters by measuring parameters such as formation porosity, resistivity, and saturation. For different formation environments, different experimental instruments, experimental conditions, and experimental procedures are derived. During the rock-electricity experiment, the rock samples need to be washed with oil, washed with salt, and dried first; the laboratory measurement of porosity usually uses the method of helium displacement; secondly, the fluid saturation of the rock samples is changed by the displacement method, centrifugation method, self-aspiration water increase method, or air drying method, and the corresponding resistivity is measured by the two-electrode method or four-electrode method; finally, the rock-electricity parameters of the samples are obtained by mathematical methods.

[0053] The formation water sample measurement data is obtained through formation water sample measurement. Formation water sample measurement is to directly obtain a core sample saturated with formation water through special coring tools, and analyze pure formation water samples from the samples by centrifugation, filtration, etc. in the laboratory environment, and measure and analyze its resistivity.

[0054] S130. Determine the porosity parameters corresponding to the wells to be developed for drilling, and based on the resistivity threshold, rock-electricity parameters, formation water resistivity, and porosity parameters, determine the critical change curve between the critical water saturation and porosity parameters of the wells to be developed for drilling under different water flooded layers.

[0055] Among them, the porosity parameter can refer to the percentage of the pore volume in the reservoir to the total rock volume, reflecting the reservoir's storage capacity. The critical water saturation can refer to the critical value of the water saturation that distinguishes different water flooding levels under specific resistivity conditions. The critical variation curve can refer to a mathematical model or graphical curve that describes the relationship between porosity and critical water saturation. The water saturation can refer to the percentage of the volume of water in the pores of the reservoir rock to the total pore volume.

[0056] Specifically, a porosity evaluation method (such as the rock physics volume model method) can be used to determine the porosity parameter corresponding to the well to be developed, and based on the resistivity threshold, petrophysical parameters, formation water resistivity, and porosity parameter, saturation evaluation of the well to be developed can be carried out.

[0057] Draw the critical variation curve between the critical water saturation and the porosity parameter of the well to be developed under different water flooded layers, so as to reflect the critical characteristics of the water flooding level under different resistivity conditions.

[0058] Exemplarily, porosity is an important parameter for evaluating the fluid storage capacity of rocks and is one of the main parameters in geophysical logging evaluation. Porosity evaluation methods include the dual porosity curve crossplot method, the rock physics volume model method, and the regional empirical formula method calibrated with core data. In the actual application in the oilfield, a porosity calculation method that conforms to the on-site understanding and has the smallest error with the core needs to be selected. If the target area is a carbonate reservoir with complex lithology, the rock physics volume model based on the optimization algorithm can be selected. By calculating the volume of input minerals to solve a set of logging response equations for input logging values and obtaining the optimal solution by calculating the minimum value of its error by the program, its error function is:

[0059]

[0060] Among them, NR is the number of input logging values (the number of logging response equations); R is the input logging value; is the theoretical logging value based on the calculated volume (calculated by the response equation); U is the logging value error.

[0061] Exemplarily, "determining the critical variation curve between the critical water saturation and the porosity parameter of the well to be developed under different water flooded layers based on the resistivity threshold, petrophysical parameters, formation water resistivity, and porosity parameter" in S130 can include: inputting the resistivity threshold, lithology coefficient, cementation exponent, saturation exponent, formation water resistivity, and porosity parameter into a preset saturation algorithm to determine the critical water saturation parameter of the well to be developed under different water flooded layers; fusing the critical water saturation parameter of the well to be developed under different water flooded layers with the porosity parameter to generate the critical variation curve between the critical water saturation and the porosity parameter of the well to be developed under different water flooded layers.

[0062] Among them, the preset saturation algorithm may refer to a pre-set algorithm for calculating water saturation.

[0063] Specifically, the lithology coefficient, cementation exponent, saturation exponent, formation water resistivity, and porosity parameters can be input into the preset saturation algorithm (such as Archie's formula), and then for different water flooded layers (such as unflooded layers, weakly flooded layers, etc.), the corresponding resistivity thresholds are input to calculate the critical water saturation corresponding to different water flooded layers respectively. As Figure 2 shown, pair the critical water saturation parameters under different water flooded layers with the porosity parameters to form a data set. Taking porosity as the abscissa and critical water saturation as the ordinate, plot a scatter diagram and fit a curve to generate the critical change curve between the critical water saturation and porosity parameters of the well to be developed under different water flooded layers. Divide the water flooding level into unflooded, weakly flooded, moderately flooded, strongly flooded, and extremely strongly flooded, so as to accurately determine and visually present the relationship between the critical water saturation and porosity of each water flooded layer. It should be noted that in practical applications, it is also possible to project the porosity and saturation calculated from conventional logging curves into Figure 2 to achieve accurate division of the water flooding level.

[0064] Exemplarily, the water saturation of the target area can be calculated by Archie's formula:

[0065]

[0066] where R w is the formation water resistivity; R t is the true formation resistivity; is the porosity; a, b, m, n are rock electrical parameters, a and b are lithology coefficients, m is the cementation exponent, and n is the saturation exponent.

[0067] S140. Based on the porosity parameters, rock electrical parameters, formation water resistivity, conventional logging curves, and critical change curves corresponding to the well to be developed, determine the water flooding level identification result corresponding to the well to be developed.

[0068] Among them, the water flooding level identification result may refer to the water flooding level of the well to be developed at different drilling depths.

[0069] Specifically, according to the porosity parameters, rock electrical parameters, formation water resistivity, and conventional logging curves corresponding to the well to be developed, determine the water saturation and porosity of the well to be developed at different depths, and compare the water saturation of the well to be developed at different porosities with the critical change curve to determine the water flooding level identification result corresponding to the well to be developed, which can improve the identification efficiency and accuracy.

[0070] In this embodiment, based on the production data of the developed wells corresponding to the target area, typical watered-out zones corresponding to the target area are determined, and resistivity thresholds between the watered-out zones are determined, thereby providing a basis for subsequent identification of watered-out levels and reducing identification errors. Based on the petrophysical experiment data and formation water sample measurement data of the wells to be developed corresponding to the target area, the petrophysical parameters and formation water resistivity corresponding to the wells to be developed are determined. The petrophysical parameters include: lithology coefficient, cementation exponent, and saturation exponent; the porosity parameters corresponding to the wells to be developed are determined, and based on the resistivity thresholds, petrophysical parameters, formation water resistivity, and porosity parameters, the critical change curve between the critical water saturation and the porosity parameters of the wells to be developed under different watered-out zones is determined, which can provide a data basis for subsequent watered-out levels. Based on the porosity parameters, petrophysical parameters, formation water resistivity, conventional logging curves, and critical change curves corresponding to the wells to be developed, the identification result of the watered-out level corresponding to the wells to be developed is determined, improving the flexibility and accuracy of watered-out level identification and enhancing the identification efficiency. By determining the typical watered-out levels corresponding to the target area, ensuring that the division of watered-out levels matches the geological characteristics of the target area, establishing a dynamic relationship curve between porosity and critical water saturation, adapting to different reservoir conditions, integrating logging curves, petrophysical parameters, and formation water resistivity, accurate identification of the watered-out levels of the wells to be developed is achieved, greatly improving the flexibility and accuracy of watered-out level identification of wells and enhancing the identification efficiency.

[0071] Embodiment 2

[0072] Figure 3 The flowchart of a method for identifying the watered-out level of a well to be developed provided in Embodiment 2 of the present invention. On the basis of the above embodiments, the step of "determining the identification result of the watered-out level corresponding to the well to be developed based on the porosity parameters, petrophysical parameters, formation water resistivity, conventional logging curves, and critical change curves corresponding to the well to be developed" is optimized. The explanations of the same or corresponding terms in the above embodiments are not repeated here.

[0073] See Figure 3 , another method for identifying the watered-out level of a well to be developed provided in this embodiment specifically includes the following steps:

[0074] S210. Based on the production data of the developed wells corresponding to the target area, determine the typical watered-out zones corresponding to the target area, and determine the resistivity thresholds between the watered-out zones.

[0075] S220. Based on the petrophysical experiment data and formation water sample measurement data of the wells to be developed corresponding to the target area, determine the petrophysical parameters and formation water resistivity corresponding to the wells to be developed. The petrophysical parameters include: lithology coefficient, cementation exponent, and saturation exponent.

[0076] S230. Determine the porosity parameter corresponding to the well to be developed, and based on the resistivity threshold, Archie parameters, formation water resistivity, and porosity parameter, determine the critical change curve between the critical water saturation and the porosity parameter under different water flooded zones of the well to be developed.

[0077] S240. Based on the conventional logging curves corresponding to the well to be developed, determine the true formation resistivity corresponding to the well to be developed, and based on the porosity parameter, Archie parameters, formation water resistivity, and true formation resistivity, determine the actual water saturation change curve corresponding to the well to be developed.

[0078] Among them, the actual water saturation change curve can refer to the curve of the reservoir water saturation changing with depth calculated point by point along the well depth direction of the well to be developed, reflecting the true state of the current fluid distribution in the reservoir.

[0079] Specifically, extract data from the conventional logging curves corresponding to the well to be developed to obtain the true formation resistivity change curve corresponding to the well to be developed, and based on the true formation resistivity change curve, obtain the true formation resistivity corresponding to the well to be developed; according to the porosity parameter, Archie parameters, formation water resistivity, and true formation resistivity, combined with the water saturation algorithm, calculate the actual water saturation at different depths of the well to be developed, and generate the actual water saturation change curve corresponding to the well to be developed, providing a data basis for the subsequent identification of the water flooded level.

[0080] S250. Based on the porosity parameter and the critical change curve, determine the porosity change curve of the porosity parameter changing with the well depth and the critical water saturation change curve of the critical water saturation changing with the well depth.

[0081] Among them, the critical water saturation change curve can refer to the curve of the critical water saturation changing with depth calculated point by point along the well depth direction of the well to be developed, reflecting the critical threshold for the reservoir to change from oil-phase dominant flow to two-phase co-percolation of oil and water.

[0082] Specifically, according to the porosity parameter, determine the change curve between the well depth and the porosity parameter of the well to be developed, and based on this change curve and the critical change curve, determine the critical water saturation change curve of the critical water saturation corresponding to each water flooded level changing with the well depth.

[0083] S260. Perform fusion processing on the critical water saturation change curve and the actual water saturation change curve, determine the intersection area between the actual water saturation change curve and the critical water saturation change curve, and determine the water flooded level corresponding to the intersection area as the identification result of the water flooded level corresponding to the well to be developed.

[0084] Specifically, according to the critical water saturation change curve and the actual water saturation change curve, numerically compare the actual water saturation and the critical water saturation at different depths, determine the intersection region enclosed by the actual water saturation change curve and the critical water saturation change curve, and determine the water flooding level corresponding to the critical water saturation in the intersection region as the water flooding level identification result corresponding to the to-be-developed well, so as to achieve accurate identification of the water flooding level.

[0085] Exemplarily, S260 may further include: generating a crossplot between the critical water saturation and the actual water saturation based on the critical water saturation change curve and the actual water saturation change curve; determining candidate regions corresponding to different water flooding levels in the crossplot, and determining the intersection region between the actual water saturation change curve and the critical water saturation change curve as the target region, and differentially displaying the candidate regions and the target region.

[0086] Among them, the candidate region may refer to a potentially water flooded or high-quality reservoir region pre-delineated in the crossplot according to the water flooding level division standard. The target region may refer to the candidate region that intersects with the actual water saturation change curve.

[0087] Specifically, fuse the critical water saturation change curve and the actual water saturation change curve, with the horizontal axis being the water saturation and the vertical axis being the well depth, to generate a crossplot between the critical water saturation and the actual water saturation; according to the crossplot, determine the candidate regions corresponding to different water flooding levels in the crossplot, and determine the intersection region between the actual water saturation change curve and the critical water saturation change curve, that is, the target region, and different colors can be used to differentially display the candidate regions and the target region. Through the crossplot, the abstract saturation data can be converted into an intuitive visualization result, realizing rapid identification and quantitative evaluation of the water flooding level.

[0088] It should be noted that as Figure 4 shown, the above crossplot can also be fused with the logging curve to generate a new crossplot, with the horizontal axis being the logging attribute and the vertical axis being the logging depth, to generate a multi-dimensional dynamic analysis map. Different color blocks can be filled between the curves. By determining the water flooding level to which the background color block of the saturation curve belongs, the visualization expression of water flooding identification on the crossplot can be realized, thereby significantly improving the accuracy, efficiency and engineering guidance of water flooding level identification.

[0089] The technical solution of this embodiment is adopted. The present invention determines the true formation resistivity corresponding to the to-be-developed well based on the conventional logging curves corresponding to the to-be-developed well, and determines the actual water saturation change curve corresponding to the to-be-developed well based on the porosity parameter, petrophysical parameter, formation water resistivity, and true formation resistivity; based on the porosity parameter and the critical change curve, determines the porosity change curve of the porosity parameter varying with the well depth and the critical water saturation change curve of the critical water saturation varying with the well depth; fuses the critical water saturation change curve and the actual water saturation change curve, determines the intersection area between the actual water saturation change curve and the critical water saturation change curve, and determines the water flooding level identification result corresponding to the to-be-developed well by taking the water flooding level corresponding to the intersection area. By constructing the actual water saturation change curve and the critical water saturation change curve, the water flooding level can be accurately identified and it can be applied to complex geological environments.

[0090] Embodiment III

[0091] Figure 5 It is a schematic structural diagram of a water flooding level identification device for a to-be-developed well provided by Embodiment III of the present invention. As Figure 5 shown, the device includes: a typical water flooded layer determination module 310, a petrophysical parameter determination module 320, a critical change curve determination module 330, and a water flooding level determination module 340;

[0092] Among them, the typical water flooded layer determination module 310 is configured to determine the typical water flooded layers corresponding to the target area based on the production data of the developed wells corresponding to the target area, and determine the resistivity thresholds between the water flooded layers;

[0093] The petrophysical parameter determination module 320 is configured to determine the petrophysical parameters and the formation water resistivity corresponding to the to-be-developed well based on the petrophysical experiment data and the formation water sample measurement data of the to-be-developed well corresponding to the target area, and the petrophysical parameters include: lithology coefficient, cementation exponent, and saturation exponent;

[0094] The critical change curve determination module 330 is configured to determine the porosity parameter corresponding to the to-be-developed well, and based on the resistivity threshold, the petrophysical parameter, the formation water resistivity, and the porosity parameter, determine the critical change curve between the critical water saturation and the porosity parameter of the to-be-developed well under different water flooded layers;

[0095] The water flooding level determination module 340 is configured to determine the water flooding level identification result corresponding to the to-be-developed well based on the porosity parameter, the petrophysical parameter, the formation water resistivity, the conventional logging curve, and the critical change curve corresponding to the to-be-developed well.

[0096] In this embodiment, based on the production data of the developed wells corresponding to the target area, typical water - flooded layers corresponding to the target area are determined, and resistivity thresholds between the water - flooded layers are determined, thereby providing a judgment basis for subsequent water - flooding level identification and reducing identification errors. Based on the petrophysical experiment data and formation water sample measurement data of the wells to be developed corresponding to the target area, petrophysical parameters and formation water resistivity corresponding to the wells to be developed are determined. The petrophysical parameters include: lithology coefficient, cementation index, and saturation index; the porosity parameters corresponding to the wells to be developed are determined, and based on the resistivity thresholds, the petrophysical parameters, the formation water resistivity, and the porosity parameters, the critical change curve between the critical water saturation and the porosity parameters of the wells to be developed under different water - flooded layers is determined, which can provide a data basis for subsequent water - flooding levels. Based on the porosity parameters, the petrophysical parameters, the formation water resistivity, the conventional logging curves, and the critical change curve corresponding to the wells to be developed, the water - flooding level identification result corresponding to the wells to be developed is determined, improving the flexibility and accuracy of water - flooding level identification and enhancing the identification efficiency. By determining the typical water - flooding levels corresponding to the target area, it is ensured that the division of water - flooding levels matches the geological characteristics of the target area, a dynamic relationship curve between porosity and critical water saturation is established, which can adapt to different reservoir conditions. By integrating logging curves, petrophysical parameters, and formation water resistivity, accurate identification of the water - flooding levels of the wells to be developed is achieved, greatly improving the flexibility and accuracy of water - flooding level identification of wells and enhancing the identification efficiency.

[0097] Optionally, the typical water - flooded layer determination module 310 includes:

[0098] A typical water - flooded layer determination unit, configured to determine the water - cut parameters of the developed wells at different well depths based on the production data of the developed wells corresponding to the target area; divide the target area based on a preset water - cut threshold and the water - cut parameters of the developed wells at different well depths, and determine the typical water - flooded layers corresponding to the target area.

[0099] Optionally, the typical water - flooded layer determination module 310 includes:

[0100] An eigenvalue determination unit, configured to extract resistivity characteristics of each water - flooded layer and determine the resistivity eigenvalue of the water - flooded layer at the corresponding well depth;

[0101] A threshold determination unit, configured to determine the resistivity change range corresponding to each water - flooded layer based on the resistivity eigenvalue, and determine the resistivity threshold between the water - flooded layers according to the resistivity change range.

[0102] Optionally, the threshold determination unit is specifically configured to: classify the resistivity eigenvalue based on a preset binary classification model, and determine the resistivity change range corresponding to each watered-out layer, where the preset binary classification model includes a support vector machine, and the watered-out layers include: unwatered-out layer, weakly watered-out layer, moderately watered-out layer, strongly watered-out layer, and extremely strongly watered-out layer.

[0103] Optionally, the critical change curve determination module 330 is specifically configured to: input the resistivity threshold, the lithology coefficient, the cementation index, the saturation index, the formation water resistivity, and the porosity parameter into a preset saturation algorithm to determine the critical water saturation parameter of the well to be developed under different watered-out layers; fuse the critical water saturation parameters of the well to be developed under different watered-out layers with the porosity parameter to generate a critical change curve between the critical water saturation and the porosity parameter of the well to be developed under different watered-out layers.

[0104] Optionally, the watered-out level determination module 340 includes:

[0105] The first change curve determination unit is configured to determine the true formation resistivity corresponding to the well to be developed based on the conventional logging curve corresponding to the well to be developed, and determine the actual water saturation change curve corresponding to the well to be developed based on the porosity parameter, the petrophysical parameter, the formation water resistivity, and the true formation resistivity;

[0106] The second change curve determination unit is configured to determine the porosity change curve of the porosity parameter with the well depth change and the critical water saturation change curve of the critical water saturation with the well depth change based on the porosity parameter and the critical change curve;

[0107] The watered-out level determination unit is configured to fuse the critical water saturation change curve and the actual water saturation change curve, determine the intersection area between the actual water saturation change curve and the critical water saturation change curve, and determine the watered-out level corresponding to the intersection area as the watered-out level identification result corresponding to the well to be developed.

[0108] Optionally, the watered-out level determination module 340 further includes:

[0109] The differential display unit is configured to generate a crossplot between the critical water saturation and the actual water saturation based on the critical water saturation change curve and the actual water saturation change curve; determine the candidate areas corresponding to different watered-out levels in the crossplot, and determine the intersection area between the actual water saturation change curve and the critical water saturation change curve as the target area, and differentially display the candidate areas and the target area.

[0110] The above device can execute the water flooding level identification method for a to-be-developed well drilling provided in any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the water flooding level identification method for a to-be-developed well drilling.

[0111] Embodiment 4

[0112] Figure 6 FIG. is a schematic structural diagram of an electronic device for implementing the water flooding level identification method for a to-be-developed well drilling according to an embodiment of the present invention. The electronic device 10 is intended to represent various forms of digital computers, such as, for example, a laptop computer, a desktop computer, a workbench, a personal digital assistant, a server, a blade server, a mainframe computer, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as, for example, a personal digital processor, a cellular phone, a smart phone, a wearable device (such as a helmet, glasses, a watch, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0113] As Figure 6 shown, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc. The memory stores a computer program executable by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. Various programs and data required for the operation of the electronic device 10 can also be stored in the RAM 13. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. The input / output (I / O) interface 15 is also connected to the bus 14.

[0114] A plurality of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0115] The processor 11 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the method for identifying the water flooding level of a well to be developed.

[0116] In some embodiments, the method for identifying the water flooding level of a well to be developed can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for identifying the water flooding level of a well to be developed described above can be executed. Alternatively, in other embodiments, the processor 11 can be configured to execute the method for identifying the water flooding level of a well to be developed by any other suitable means (e.g., by means of firmware).

[0117] Specifically, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a non-transitory computer-readable medium, and the computer program includes program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network via the communication unit 19, or installed from the storage unit 18, or installed from the ROM 12. When the computer program is executed by the processor 11, the above-mentioned functions defined in the method for identifying the water flooding level of a well to be developed according to the embodiment of the present invention are executed.

[0118] The various embodiments of the systems and techniques described above in this document can be implemented in digital electronic circuitry, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on a chip (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special-purpose or general-purpose programmable processor that receives data and instructions from a storage system, at least one input device, and at least one output device, and transmits the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0119] The computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, a special purpose computer, or other programmable data processing device, such that the computer programs, when executed by the processor, cause the functions / operations specified in the flowchart and / or block diagram to be implemented. The computer programs can be executed entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine, or entirely on the remote machine or server.

[0120] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the foregoing.

[0121] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and a pointing device (e.g., a mouse or a trackball) through which the user can provide input to the electronic device. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0122] The systems and techniques described herein can be implemented in a computing system including backend components (e.g., as a data server), or a computing system including middleware components (e.g., an application server), or a computing system including frontend components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system including any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected to each other by digital data communication in any form or medium (e.g., a communication network). Examples of communication networks include: local area network (LAN), wide area network (WAN), blockchain network, and the Internet.

[0123] The computing system can include a client and a server. The client and the server are generally far from each other and usually interact through a communication network. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system and solves the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0124] It should be understood that various forms of the processes shown above can be used, with steps reordered, added, or deleted. For example, the steps recited in the present invention can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is imposed herein.

[0125] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for identifying the flooding level of a well to be developed, characterized in that: include: Based on the production data of the developed wells corresponding to the target area, determining the typical water-flooded layers corresponding to the target area, and determining the resistivity thresholds between the various water-flooded layers; Based on the rock electrical experimental data and formation water sample measurement data of the well to be developed corresponding to the target area, determine the rock electrical parameters and formation water resistivity corresponding to the well to be developed, wherein the rock electrical parameters include: lithology coefficient, cementation index and saturation index; Determine the porosity parameter corresponding to the well to be developed, and determine the critical change curve between the critical water saturation of the well to be developed in different water-flooded layers and the porosity parameter based on the resistivity threshold, the rock electrical parameter, the formation water resistivity and the porosity parameter; Based on the porosity parameter, the rock electrical parameter, the formation water resistivity, the conventional logging curve and the critical change curve corresponding to the wellbore to be developed, the water flooding level identification result corresponding to the wellbore to be developed is determined.

2. The method according to claim 1, characterized in that The determining of a typical water-flooded layer corresponding to the target area based on production data of developed wells corresponding to the target area includes: Determining water content parameters of the developed wells at different drilling depths based on production data of the developed wells corresponding to the target area; Based on a preset water content threshold and water content parameters of the developed wells at different drilling depths, the target area is divided to determine a typical water-flooded layer corresponding to the target area.

3. The method according to claim 1, characterized in that The step of determining the resistivity threshold between each flooded layer comprises: Extracting resistivity characteristics of each water-flooded layer to determine the resistivity characteristic value of the water-flooded layer at the corresponding drilling depth; The resistivity variation range corresponding to each flooded layer is determined based on the resistivity characteristic value, and the resistivity threshold between the flooded layers is determined according to the resistivity variation range.

4. The method according to claim 3, characterized in that The determining the resistivity variation range corresponding to each flooded layer based on the resistivity characteristic value includes: The resistivity characteristic values ​​are classified based on a preset binary classification model to determine the resistivity variation range corresponding to each waterflooded layer. The preset binary classification model includes a support vector machine. The waterflooded layer includes: non-waterflooded layer, weakly waterflooded layer, moderately waterflooded layer, strongly waterflooded layer and extremely strongly waterflooded layer.

5. The method according to claim 1, characterized in that The step of determining a critical variation curve between the critical water saturation of the well to be developed in different water-flooded layers and the porosity parameter based on the resistivity threshold, the rock electrical parameter, the formation water resistivity and the porosity parameter comprises: Inputting the resistivity threshold, the lithology coefficient, the cementation index, the saturation index, the formation water resistivity and the porosity parameter into a preset saturation algorithm to determine the critical water saturation parameter of the well to be developed under different water-flooded layers; The critical water saturation parameter of the well to be developed in different water-flooded layers is merged with the porosity parameter to generate a critical variation curve between the critical water saturation of the well to be developed in different water-flooded layers and the porosity parameter.

6. The method according to claim 1, characterized in that The step of determining the flooding level identification result corresponding to the well to be developed based on the porosity parameter, the rock electrical parameter, the formation water resistivity, the conventional logging curve and the critical change curve corresponding to the well to be developed comprises: Based on the conventional well logging curve corresponding to the well to be developed, determine the true resistivity of the formation corresponding to the well to be developed, and based on the porosity parameter, the rock electrical parameter, the formation water resistivity and the true resistivity of the formation, determine the actual water saturation change curve corresponding to the well to be developed; Based on the porosity parameter and the critical variation curve, determining a porosity variation curve in which the porosity parameter varies with drilling depth and a critical water saturation variation curve in which the critical water saturation varies with drilling depth; The critical water saturation change curve and the actual water saturation change curve are fused to determine the intersection area of ​​the actual water saturation change curve and the critical water saturation change curve, and the water flooding level corresponding to the intersection area is determined as the water flooding level identification result corresponding to the well to be developed.

7. The method according to claim 6, characterized in that The method further comprises: Based on the critical water saturation variation curve and the actual water saturation variation curve, generating a cross plot between the critical water saturation and the actual water saturation; Determine the candidate areas corresponding to different flooding levels in the intersection diagram, determine the intersection area between the actual water saturation change curve and the critical water saturation change curve as the target area, and display the candidate areas and the target area differently.

8. A device for identifying the flooding level of a well to be developed, characterized in that: include: A typical water-flooded layer determination module is used to determine the typical water-flooded layer corresponding to the target area based on the production data of the developed wells corresponding to the target area, and determine the resistivity threshold between each water-flooded layer; A rock electrical parameter determination module, for determining the rock electrical parameters and formation water resistivity corresponding to the well to be developed based on the rock electrical experimental data and formation water sample measurement data of the well to be developed corresponding to the target area, wherein the rock electrical parameters include: lithology coefficient, cementation index and saturation index; A critical change curve determination module is used to determine the porosity parameter corresponding to the well to be developed, and determine the critical change curve between the critical water saturation of the well to be developed under different water-flooded layers and the porosity parameter based on the resistivity threshold, the rock electrical parameter, the formation water resistivity and the porosity parameter; The water flooding level determination module is used to determine the water flooding level identification result corresponding to the well to be developed based on the porosity parameter, the rock electrical parameter, the formation water resistivity, the conventional logging curve and the critical change curve corresponding to the well to be developed.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for identifying the flooding level of a well to be developed according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for identifying the flooding level of a well to be developed according to any one of claims 1 to 7 when the computer instructions are executed.

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