Manufacturing method and device for migration distance prediction chart of resistance increasing type profile control and displacement system

Abstract

The invention discloses a manufacturing method and device for a migration distance prediction chart of a resistance increasing type profile control and displacement system. The method comprises the steps that parameters of the resistance increasing type profile control and displacement system are determined; performing a long core displacement experiment according to the parameters, obtaining pressure data before and after profile control and displacement, and determining a target resistance factor according to the pressure data; determining a migration distance according to the target resistance factor by using the relation between the resistance factor and the rock core position; and constructing a prediction model based on the migration distance, and drawing a contour map to obtain a migration distance prediction chart of the resistance increasing type profile control and displacement system. Through experiment and prediction model construction, the complex numerical simulation process is simplified, high-precision prediction can be achieved under different development conditions, developers can adjust the construction scheme in time, in addition, the method is suitable for a resistance increasing type profile control and displacement system, adjustment can be conducted according to profile control and displacement agents used by different oil fields, and the application range is wide.

Description

TECHNICAL FIELD

[0001] The embodiment of the present application relates to the field of oil and gas field development, and particularly relates to a method and device for making a migration distance prediction chart of a resistance-increasing profile control system. BACKGROUND

[0002] With the development of oil and gas resources, many oilfields in China have entered the stage of high water cut and high production, and the production has decreased, but the high water cut oilfield still has a great potential for improving recovery. Due to the difference in reservoir geology and the difference in oil and water viscosity, water injection often flows along the high permeability layer, resulting in the early occurrence of watered-out wells, poor water drive effect in low permeability layers, and aggravation of uneven water absorption problem with increased water injection. In view of this problem, the profile control technology is studied, and the main principle is to reduce the permeability of the high permeability layer, thereby increasing the sweep efficiency and volume of fluid displacement, and improving the recovery.

[0003] The migration distance of the profile control system is crucial to the profile control effect. Predicting the migration distance of the profile control system can accurately control the coverage of the injected fluid, avoid excessive or insufficient displacement, and improve the injection efficiency and recovery. Mastering the migration distance of the profile control system helps to reasonably plan the injection parameters, reduce unnecessary energy waste and cost. Researching the migration distance can provide a basis for adjusting the oilfield development plan, especially in complex reservoirs, which helps to adopt accurate profile control strategies.

[0004] On the one hand, the conventional prediction methods of the migration distance of the profile control system include laboratory experiments and numerical simulation. However, due to the condition limitation, the experimental parameters cannot completely cover the field construction parameter interval, resulting in that the prediction result is relatively accurate within a certain range; the numerical simulation method often needs a large amount of computing resources, and it is time-consuming and laborious to obtain the key parameters required for simulation, and the accuracy is generally limited by the complexity of the geological conditions. On the other hand, the research on the migration distance prediction chart of the profile control system is very insufficient, and most of the field is to predict the migration distance under the influence of a single factor. When multiple factors affect, the prediction accuracy will be greatly reduced.

[0005] Therefore, a method for making a migration distance prediction chart of a resistance-increasing profile control system is needed to realize the migration distance prediction under the influence of multiple factors. SUMMARY

[0006] In view of the above problems, the embodiment of the present application is proposed to provide a method and device for making a migration distance prediction chart of a resistance-increasing profile control system to overcome the above problems or at least partially solve the above problems.

[0007] According to one aspect of the embodiment of the present application, a method for making a migration distance prediction chart of a resistance-increasing profile control system is provided, and the method comprises:

[0008] determining the parameters of the resistance-increasing profile control system;

[0009] perform a long core displacement experiment according to the parameters, acquire pressure data before and after profile control, and determine a target resistance factor according to the pressure data;

[0010] The migration distance is determined according to the target resistance factor by using the relationship between the resistance factor and the core position.

[0011] A prediction model is constructed based on the migration distance, and a contour map is drawn to obtain a migration distance prediction chart of the resistance-increasing profile control system.

[0012] According to another aspect of the embodiment of the present application, a device for manufacturing a migration distance prediction chart of a resistance-increasing profile control system is provided, which comprises:

[0013] A parameter module is adapted to determine parameters of the resistance-increasing profile control system.

[0014] A resistance factor module is adapted to perform a long core displacement experiment according to the parameters, acquire pressure data before and after profile control, and determine a target resistance factor according to the pressure data.

[0015] A migration module is adapted to determine a migration distance according to the target resistance factor by using the relationship between the resistance factor and the core position.

[0016] A chart module is adapted to construct a prediction model based on the migration distance, and draw a contour map to obtain a migration distance prediction chart of the resistance-increasing profile control system.

[0017] According to still another aspect of the embodiment of the present application, a computing device is provided, which comprises a processor, a memory, a communication interface and a communication bus, the processor, the memory and the communication interface complete communication with each other through the communication bus.

[0018] The memory is used to store at least one executable instruction, and the executable instruction makes the processor execute the operation corresponding to the manufacturing method of the migration distance prediction chart of the resistance-increasing profile control system.

[0019] According to still another aspect of the embodiment of the present application, a computer storage medium is provided, and the storage medium stores at least one executable instruction, and the executable instruction makes the processor execute the operation corresponding to the manufacturing method of the migration distance prediction chart of the resistance-increasing profile control system.

[0020] According to still another aspect of the embodiment of the present application, a computer program product is provided, and the computer program product comprises at least one executable instruction, and the executable instruction makes the processor execute the operation corresponding to the manufacturing method of the migration distance prediction chart of the resistance-increasing profile control system.

[0021] The method and device for making the migration distance prediction chart of the resistance-increasing profile control system provided by the embodiment of the application are made through experiments and a prediction model, and the complex numerical simulation process is simplified, high-precision prediction can be realized under different development conditions, the method is helpful for the development personnel to timely adjust the construction scheme, and in addition, the method is not only suitable for the conventional resistance-increasing profile control system, but also can be adjusted according to the profile control agents used in different oil fields, and is widely applicable.

[0022] The above description is only a summary of the technical scheme of the embodiment of the application, in order to more clearly understand the technical means of the embodiment of the application, the content of the specification can be implemented, and in order to make the above and other purposes, characteristics and advantages of the embodiment of the application more obvious and easy to understand, the following specifically describes the specific implementation of the embodiment of the application. BRIEF DESCRIPTION OF DRAWINGS

[0023] Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The accompanying drawings are included to provide a description of the preferred embodiments and are not meant to limit the present embodiments. Furthermore, the same reference numerals are intended to identify the same components throughout the various figures. In the drawings:

[0024] Figure 1 A flow chart of the method for making the migration distance prediction chart of the resistance-increasing profile control system according to one embodiment of the application is shown;

[0025] Figure 2 A schematic diagram of the core pressure measurement point position is shown;

[0026] Figure 3 A curve diagram of the maximum resistance factor and the core position is shown;

[0027] Figure 4 A comparison diagram of the actual migration distance and the predicted migration distance is shown;

[0028] Figure 5 A schematic diagram of the migration distance prediction chart of the resistance-increasing profile control system is shown;

[0029] Figure 6 A structural schematic diagram of the device for making the migration distance prediction chart of the resistance-increasing profile control system according to one embodiment of the application is shown;

[0030] Figure 7 A structural schematic diagram of a computing device according to one embodiment of the application is shown. DETAILED DESCRIPTION

[0031] Exemplary embodiments of the present application will be described herein below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it is understood that the present application can be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the present application to those skilled in the art.

[0032] Figure 1 A flow chart of a method for making a migration distance prediction chart of a resistance-increasing profile control system according to an embodiment of the present application is shown in FIG. 1, which includes the following steps: Figure 1

[0033] Step S101, determining parameters of the resistance-increasing profile control system.

[0034] The parameters of the resistance-increasing profile control system can be determined according to the reservoir properties and temperature and pressure parameters of the oil and gas field where the system is to be used. For example, the parameters of the resistance-increasing profile control system can be determined according to the specific geological conditions of the oil and gas field, such as reservoir permeability, system sweep volume, porosity, heterogeneity, pore throat connectivity, and other geological conditions and parameters. In this embodiment, the effects of permeability and system sweep volume on the parameters of the resistance-increasing profile control system are considered. Heterogeneous core displacement experiments can also be used to consider the effects of heterogeneity or permeability range, and the like, which are not limited herein.

[0035] The determined parameters of the resistance-increasing profile control system include, for example, injection rate, injection volume, and injection concentration, so that the parameters for laboratory experiments can be determined according to the various parameters of the field operation. For example, the injection rate of a certain oil field is 300 m 3 / d, the system seepage reservoir cross-sectional area is 300 m 2 , the reservoir permeability is about 3000 mD, the injection concentration is 5000 ppm, and the injection volume is 0.2 PV. When conducting laboratory experiments, the specifications of the selected artificial long core can be 1.2 m x 4.5 cm x 4.5 cm in length x width x height. According to the similarity criterion, the field injection rate and the laboratory injection rate are converted by fluid linear velocity, as shown in the following formula:

[0036]

[0037] where Q 现场 and Q 室内 are the field injection rate and the laboratory injection rate, respectively, S 现场 and S 室内 are the system seepage reservoir cross-sectional area and the core cross-sectional area of the laboratory experiment, respectively; v 现场 and v 室内 ​respectively. Here, considering that the indoor test is limited, its scale is generally small, and the injection speed is generally low, the injection displacement of the construction (such as several hundred cubic meters per day) can be converted into the displacement of the indoor test (such as several milliliters per minute) through the above formula conversion, and the linear velocity can be selected as the conversion standard. According to the above formula conversion, the injection speed of the indoor test is about 4.42 ml / min, and the injection concentration, injection volume, and permeability can be consistent with the parameters of the construction site. In order to expand the prediction range, the injection speed of the indoor test can be set to 0.5-5 ml / min, the injection volume can be set to 0.05-5 PV, the injection concentration can be set to 10-10000 ppm, and the permeability can be set to 100-5000 mD, and the like. The specific setting is based on the implementation, which is not limited here.

[0038] In step S102, a long core displacement experiment is performed according to the parameters, pressure data before and after the profile control is obtained, and the target resistance factor is determined according to the pressure data.

[0039] Under different experimental conditions, long core displacement experiments are performed according to the determined parameters of the resistance-increasing profile control system. In this embodiment, a long core displacement experiment can be used, different concentrations of profile control systems are configured using simulated formation water, and are placed in a constant temperature oven for aging at a reservoir temperature for 10 days. The core is placed in a constant temperature oven and dried, its size and dry weight are measured. The experimental water is fully saturated under vacuum, the wet weight is measured, and the pore volume is calculated according to the wet weight and the dry weight. After the long core displacement experiment connection device is connected, the displacement experiment is performed. Specifically, a uniform flow pump is used to inject at a speed of 2 ml / min, water is driven until the pressure is stable, then the system is injected at different parameters, and after the displacement pressure of the system is stable, water is driven at a speed of 2 ml / min until the pressure is stable, and then the experiment is stopped. In this embodiment, a long core of 1.2 m can be used, and multiple pressure measuring points can be set, such as one pressure measuring point every 10 cm, the pressure data before and after displacement at different pressure measuring points can be recorded, and the pressure measuring point positions can be as shown in Figure 2 In this embodiment, the long core can be 1.2 m, or can be shortened or connected to another holder to increase the length, etc. The pressure measuring points can be set at intervals of 10 cm, and the pressure changes at different positions of the long core are recorded. The smaller the interval, the more comprehensive the pressure data obtained, but the number of sensors increases accordingly, and the cost increases. In the water drive stage, the water drive pressure change before and after the profile control is tested at an injection speed of 2 ml / min to reflect the profile control effect of the system. The injection speed of 2 ml / min generally does not break through the plugging, but can also be adjusted within a certain range. The above data is for illustration, and the specific setting is based on the implementation, which is not limited here.

[0040] After recording the pressure data before and after displacement, the resistance factor can be determined according to the pressure data of each pressure measuring point. The resistance factor is calculated according to the ratio of the pressure data after the profile control and displacement to the pressure data before the profile control, and reflects the profile control and displacement effect. The greater the resistance factor, the better the profile control and displacement effect, and the higher the concentration of the system at this position. According to the calculated resistance factor, the target resistance factor can be determined according to the system action position. The system action position can be set according to the implementation situation, or can be determined by, for example, a scoring mechanism, which is not limited here.

[0041] In step S103, the migration distance is determined according to the target resistance factor by using the relationship between the resistance factor and the core position.

[0042] According to the determined resistance factor of each pressure measuring point, a curve of resistance factor and core position can be drawn, as shown in FIG. 1, wherein the horizontal axis is the core position and the vertical axis is the resistance factor. According to the curve of resistance factor and core position, a relationship between the resistance factor and the core position can be constructed, as shown below: Figure 3

[0043] R f = -ax 2 -bx+c

[0044] wherein R f is the resistance factor, x is the migration distance, a, b and c are all preset coefficients, which can be adjusted according to the implementation situation, such as a can be 3.0069, b can be 3.7434, and c can be 9.3702, which are not limited here. According to the above relationship, taking a as 3.0069, b as 3.7434 and c as 9.3702 as an example, the calculation formula of the migration distance can be converted, as shown below:

[0045]

[0046] The constants in the calculation formula of the migration distance are different according to different preset coefficients, which can be adjusted accordingly, which is not limited here. According to the calculation formula of the migration distance, the migration distance corresponding to the target resistance factor can be calculated, that is, the target resistance factor is substituted into the calculation formula of the migration distance to calculate the migration distance corresponding to the target resistance factor, as shown in FIG. 2. The target resistance factor is 2, which is substituted into the calculation formula of the migration distance to determine the corresponding maximum migration distance. Figure 3

[0047] In step S104, a prediction model is constructed based on the migration distance, and an isogram is drawn to obtain a migration distance prediction chart of the resistance-increasing profile control and displacement system.

[0048] ​​After the calculation formula of the migration distance is obtained, the migration distance can be determined, and different migration distances can be determined according to different experimental conditions. According to the migration distance, an ACE algorithm can be used to construct a prediction model according to the core permeability, injection speed, injection volume, and injection concentration of the migration distance. For example, the ACE algorithm is used to establish a mathematical model, the predicted migration distance (Y) is used as the dependent variable, the system injection speed (X1), the injection volume (X2), the injection concentration (X3), and the core permeability (X4) are used as the independent variables, the function relationship suitable for each index is obtained through single factor polynomial fitting, the Matlab algorithm is applied to calculate the optimal change of the lumped parameter, and the formula of the prediction model is obtained, as shown in the following:

[0049] Y = A [TR (X1) + TR (X2) + TR (X3) + TR (X4)] + B

[0050] Wherein, A and B are regression coefficients, and TR() is an optimal transformation function.

[0051] The prediction model is optimized, the predicted migration distance is obtained by using the prediction model, the AARD (Average Absolute Relative Deviation) of the predicted migration distance and the actual migration distance is calculated, and the deviation between the predicted migration distance and the actual migration distance is measured. If the average absolute deviation (AARD) is large, the prediction model error is large, and the experimental group is increased accordingly to obtain more experimental data, and the prediction model is further repeated to optimize the fitting model. When the optimized average absolute deviation (AARD) is less than a preset threshold, such as 20%, it is determined that the error between the predicted migration distance and the actual migration distance is small, and the construction requirement is met. As shown in the following figure, the horizontal axis is the actual migration distance, and the vertical axis is the predicted migration distance, Figure 4 Figure 4 The diagonal line is y=x, that is, the y-axis data=x-axis data. When the AARD is less than 20%, it can be seen that Figure 4 According to the predicted migration distance obtained from the training set and the validation set, the predicted migration distance is basically concentrated near the diagonal line, that is, the error of the predicted migration distance basically meets the construction requirement, and the prediction model can be used to establish a migration distance prediction chart of the resistance increasing type profile control system.

[0052] The calculation formula of the average absolute deviation can be as follows:

[0053]

[0054] Wherein, n is the number of predicted migration distances, y i is the i th actual migration distance, ​is the ith predicted migration distance. When the AARD is greater than 20%, the number of experimental groups is increased, the prediction model is re-regressed, and the model is optimized until the AARD is less than 20%.

[0055] After determining the prediction model, the predicted migration distances under different experimental conditions can be calculated. After normalizing each experimental condition, the isochart can be plotted with the core permeability as the X-axis independent variable, the injection rate, the injection volume, and the injection concentration as the Y-axis independent variable, and the core permeability as the Z-axis dependent variable. The migration distance prediction chart of the resistance-increasing profile control system is obtained. The migration distance prediction chart of the resistance-increasing profile control system includes the migration distance prediction chart of the resistance-increasing profile control system under different injection rates and different permeabilities, different injection volumes and different permeabilities, and different injection concentrations and different permeabilities. Taking different injection rates and different permeabilities as an example, the isochart as shown in FIG. 4 is obtained, that is, the migration distance prediction chart of the resistance-increasing profile control system, wherein the horizontal axis is the normalized permeability, and the vertical axis is the normalized injection rate. Figure 5

[0056] Optionally, the embodiment can further include the following steps:

[0057] Step S105, determining the corresponding construction migration distance based on the migration distance prediction chart of the resistance-increasing profile control system according to the construction parameters combined with the permeability.

[0058] Step S106, determining the corresponding construction parameters based on the migration distance prediction chart of the resistance-increasing profile control system according to the construction migration distance combined with the permeability.

[0059] The above steps S105 and S106 are not limited in execution order, and the corresponding steps are executed according to the implementation.

[0060] Specifically, in the field construction, the construction parameters include, for example, the construction injection volume, the construction injection rate, the construction injection concentration, etc. According to the various construction parameters in the field, combined with the permeability of the formation, based on the migration distance prediction chart of the resistance-increasing profile control system, the corresponding construction migration distance required for construction can be found, which is convenient to operate and has high prediction accuracy. For example, the distance between the injection well and the production well is 500 m, the construction injection rate is 200 m 3 / d, and the reservoir area is 300 m 2 ​, the formation permeability is 3000 mD. The formation permeability normalization is 3000 / 10000=0.3, the normalized injection velocity is 0.59 by using the similarity criterion to calculate the construction injection velocity, the normalized migration distance is 0.37 when the normalized injection velocity is 0.59 and the normalized permeability is 0.3 based on the migration distance prediction chart of the resistance-increasing profile control system, and the construction migration distance is 500*0.37=185 m, so the migration distance prediction chart of the resistance-increasing profile control system helps the field personnel to understand the migration distance that can be reached by the resistance-increasing profile control system corresponding to different construction parameters, and facilitates the field personnel to quickly operate.

[0061] After determining the corresponding construction migration distance in the field, the corresponding construction parameters can also be determined based on the migration distance prediction chart of the resistance-increasing profile control system in combination with the permeability, so as to save the cost and improve the operation efficiency. For example, the distance between the injection well and the production well is 500 m, the expected construction migration distance is 250 m, the formation permeability is 3000 mD, the reservoir area is 300 m 2 , and the best construction parameters in the field need to be determined. Taking the injection velocity as an example, the construction migration distance normalization is 250 / 500=0.5, the formation permeability normalization is 3000 / 10000=0.3, the maximum injection velocity in the field is about 340 m 3 / d by using the similarity criterion to convert the maximum injection velocity in the laboratory into the maximum injection velocity in the field, the normalized injection velocity is 0.85 when the normalized migration distance is 0.5 and the normalized permeability is 0.3 based on the migration distance prediction chart of the resistance-increasing profile control system, and the best construction injection velocity in the field is 340*0.85=289 m 3 / d. According to the migration distance prediction chart of the resistance-increasing profile control system, the best construction parameter combination that can reach the expected construction migration distance can be selected, and the operation efficiency is improved. The construction injection amount, the construction injection concentration and the like can also be determined according to the migration distance prediction chart of the resistance-increasing profile control system, which is not expanded here.

[0062] According to the manufacturing method of the migration distance prediction chart of the resistance-increasing profile control system provided by the embodiment of the application, the complex numerical simulation process is simplified by experiment and prediction model construction, high-precision prediction can be realized under different development conditions, the construction scheme can be timely adjusted by the development personnel, in addition, the method is not only suitable for the conventional resistance-increasing profile control system, but also can be adjusted according to the profile control agents used in different oil fields, and the application range is wide.

[0063] Figure 6 The structure schematic diagram of the manufacturing device of the migration distance prediction chart of the resistance-increasing profile control system provided by the embodiment of the application is shown. As shown in Figure 6 , the device comprises:

[0064] The parameter module 610 is adapted to determine parameters of the resistance-increasing profile control system.

[0065] The resistance factor module 620 is adapted to perform a long core displacement experiment according to the parameters, obtain pressure data before and after profile control, and determine the target resistance factor according to the pressure data.

[0066] The migration module 630 is adapted to determine the migration distance according to the target resistance factor by using the relationship between the resistance factor and the core position.

[0067] The chart module 640 is adapted to construct a prediction model based on the migration distance, and draw an isogram to obtain a migration distance prediction chart of the resistance-increasing profile control system.

[0068] Optionally, the parameter module 610 is further adapted to:

[0069] determine the parameters of the resistance-increasing profile control system according to reservoir properties and temperature and pressure parameters; the parameters of the resistance-increasing profile control system at least include injection speed, injection volume and injection concentration.

[0070] Optionally, the resistance factor module 620 is further adapted to:

[0071] perform a long core displacement experiment according to the parameters, obtain pressure data of different pressure measuring points before and after profile control, calculate the resistance factor according to the ratio of the pressure data after profile control to the pressure data before profile control, and determine the target resistance factor.

[0072] Optionally, the migration module 630 is further adapted to:

[0073] draw a curve of the resistance factor and the core position, and construct a relationship between the resistance factor and the core position.

[0074] calculate the migration distance corresponding to the target resistance factor according to the relationship.

[0075] Optionally, the chart module 640 is further adapted to:

[0076] construct a prediction model for the migration distance according to the core permeability, the injection speed, the injection volume and the injection concentration.

[0077] perform model optimization on the prediction model.

[0078] draw an isogram according to the core permeability as the X-axis independent variable, the injection speed, the injection volume and the injection concentration as the Y-axis independent variable, and the core permeability as the Z-axis dependent variable, to obtain a migration distance prediction chart of the resistance-increasing profile control system; the migration distance prediction chart of the resistance-increasing profile control system includes migration distance prediction charts of the resistance-increasing profile control system under different injection speeds and different permeabilities, different injection volumes and different permeabilities, and different injection concentrations and different permeabilities.

[0079] Optionally, the apparatus further comprises: a chart using module 650 adapted to determine a corresponding construction migration distance based on a migration distance prediction chart of a resistance-enhancing type displacement system according to construction parameters combined with permeability; the construction parameters include construction injection volume, construction injection speed and / or construction injection concentration;

[0080] and / or,

[0081] According to the construction migration distance combined with the permeability, the corresponding construction parameters are determined based on the migration distance prediction chart of the resistance-increasing type displacement system.

[0082] The description of each module above refers to the corresponding description in the method embodiment and will not be repeated here.

[0083] An embodiment of the present invention further provides a non-volatile computer storage medium storing at least one executable instruction, which can execute operations corresponding to the method for preparing a migration distance prediction map of a resistance-increasing displacement system in any of the above method embodiments.

[0084] An embodiment of the present application provides a computer program product, which includes at least one executable instruction or computer program, which can enable a processor to perform operations corresponding to the method for producing a migration distance prediction map of a resistance-increasing displacement system in any of the above-mentioned method embodiments.

[0085] Figure 7 A schematic structural diagram of a computing device according to an embodiment of the present invention is shown. The specific implementation of the computing device is not limited to the specific implementation of the computing device in the specific embodiment of the present invention.

[0086] like Figure 7 As shown, the computing device may include a processor 702 , a communication interface 704 , a memory 706 , and a communication bus 708 .

[0087] in:

[0088] The processor 702 , the communication interface 704 , and the memory 706 communicate with each other via a communication bus 708 .

[0089] The communication interface 704 is used to communicate with other devices such as clients or other servers.

[0090] The processor 702 is configured to execute the program 710 , and specifically to execute the relevant steps in the embodiment of the method for preparing the migration distance prediction chart of the resistance-increasing type displacement system.

[0091] Specifically, the program 710 may include program codes, which include computer operation instructions.

[0092] The processor 702 can be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to perform the operations of an embodiment of the application. The one or more processors included in the computing device can be of the same type or different types of processors, such as one or more CPUs and one or more ASICs.

[0093] The memory 706 stores the program 710. The memory 706 can include a high-speed RAM memory and can also include a non-volatile memory, such as at least one disk memory.

[0094] The program 710 can be specifically configured to cause the processor 702 to perform the method of making the migration distance prediction chart of the resistance-type profile control and flooding system. The specific implementation of each step in the program 710 can refer to the corresponding description in the corresponding step and unit in the above-described embodiment of making the migration distance prediction chart of the resistance-type profile control and flooding system, and will not be described here. It can be clearly understood by those skilled in the art that, for the convenience and brevity of description, the specific working process of the above-described device and module can refer to the corresponding process description in the above-described method embodiment, and will not be described here.

[0095] The algorithms and displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general-purpose systems can be used with these teachings, or with modifications that take into account the teachings herein. The required structure for a variety of these systems will be apparent to those of ordinary skill in the art from the foregoing description. In addition, the present embodiments are not described with reference to any particular programming language. It will be appreciated that a variety of programming languages can be used to implement the teachings of the present embodiments as described herein, and any references below to specific languages are provided for disclosure of the best mode of practicing the present embodiments.

[0096] In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the application can be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.

[0097] Similarly, it is to be understood that the embodiments of the application can be alternately or additionally employed in a variety of ways, and that utilized in the description of the example embodiments of the application above, individual features of the embodiments of the application are sometimes grouped together in a single embodiment, figure or description of a related aspect of the application. This method of disclosure, however, is not to be interpreted as reflecting an intention that the embodiments of the application require more features than are explicitly recited in each claim. Rather, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Following, therefore, is a portion of the claims, demonstrating a combination of aspects of the application in accordance with the true scope of the embodiments of the application, in which:

[0098] Those skilled in the art can understand that modules in the device in the embodiments can be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments can be combined into one module or unit or component, and further can be divided into multiple sub-modules or sub-units or sub-components. Except that at least some of such features and / or processes or units are mutually exclusive, any combination of all the features disclosed in the specification (including the accompanying claims, abstract and drawings), and all processes or units of any method or device disclosed thus can be adopted. Unless explicitly stated, each feature disclosed in the specification (including the accompanying claims, abstract and drawings) can be replaced by an alternative feature providing the same, equivalent or similar function.

[0099] Further, those skilled in the art can understand that although some embodiments herein include certain features rather than others included in other embodiments, the combination of features of different embodiments means to be within the scope of the application and form different embodiments. For example, in the following claims, any one of the claimed embodiments can be used in any combination.

[0100] Various component embodiments of the present application can be implemented in hardware, or as software modules running in one or more processors, or in combinations thereof. As will be appreciated by one skilled in the art, a microprocessor or digital signal processor (DSP) can be used in practice to implement some or all of the functionality of some or all of the components according to embodiments of the present application. Embodiments of the present application can also be implemented as a program of instructions for performing part or all of the methods described herein, e.g., a computer program and a computer program product. Such program(s) of the present application, which can be stored on a computer readable medium, or can be in the form of one or more signals. Such signals can be downloaded from an Internet website, or provided on a carrier signal, or in any other form.

[0101] It should be noted that the above-mentioned embodiments illustrate rather than limit the application, and that one skilled in the art will be able to design many alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word 'comprising' does not exclude the presence of elements or steps other than those listed in a claim. The word 'a' or 'an' preceding an element does not exclude the presence of a plurality of such elements. The application can be implemented by means of both hardware and software, and any combination thereof. In a unit claim, several devices can be listed with a conjunction like 'or', but it is to be understood that any of the devices can be used individually. The use of the terms first, second and third, etc. does not imply any ordering but rather are used for naming purposes only. Steps in the above described embodiments can be carried out in any order, unless otherwise specified.

Claims

1. A method for preparing a migration distance prediction chart for a resistance-increasing type displacement system, characterized in that: include: Determine the parameters of the resistance-increasing type flooding system; Conduct a long core displacement experiment according to the parameters, obtain pressure data before and after the displacement, and determine a target resistance factor according to the pressure data; Using the relationship between the resistance factor and the core position, the migration distance is determined according to the target resistance factor; A prediction model is constructed based on the migration distance, and a contour map is drawn to obtain a migration distance prediction map for the resistance-increasing type displacement system.

2. The method according to claim 1, characterized in that The determination of the parameters of the resistance-increasing type flow control system further includes: The parameters of the resistance-increasing type flow control system are determined according to the reservoir physical properties and temperature and pressure parameters; the parameters of the resistance-increasing type flow control system at least include injection rate, injection amount and injection concentration.

3. The method according to claim 1, characterized in that The performing of a long core displacement experiment according to the parameters to obtain pressure data before and after the displacement, and determining the target resistance factor according to the pressure data further includes: A long core displacement experiment is carried out according to the parameters to obtain pressure data at different pressure measuring points before and after the displacement adjustment. The resistance factor is calculated according to the ratio of the pressure data after the displacement adjustment to the pressure data before the displacement adjustment, and the target resistance factor is determined.

4. The method according to claim 1, wherein The method of utilizing the relationship between the resistance factor and the core position and determining the migration distance according to the target resistance factor further includes: Draw a curve of resistance factor and core position, and construct a relationship between resistance factor and core position; According to the relationship, the migration distance corresponding to the target resistance factor is calculated.

5. The method according to claim 1, wherein The step of constructing a prediction model based on the migration distance and drawing a contour map to obtain a migration distance prediction map for the resistance-increasing type displacement system further includes: Constructing a prediction model for the migration distance based on core permeability, injection velocity, injection volume, and injection concentration; performing model optimization on the prediction model; According to the core permeability as the X-axis independent variable, the injection rate, injection amount, and injection concentration as the Y-axis independent variables, and the core permeability as the Z-axis dependent variable, a contour map is drawn to obtain a migration distance prediction plate of the resistance-increasing type profile adjustment and displacement system; the migration distance prediction plate of the resistance-increasing type profile adjustment and displacement system includes migration distance prediction plates of the resistance-increasing type profile adjustment and displacement system with different injection rates and different permeabilities, different injection amounts and different permeabilities, and different injection concentrations and different permeabilities.

6. The method according to any one of claims 1 to 5, characterized in that The method further comprises: Determine the corresponding construction migration distance based on the migration distance prediction chart of the resistance-increasing type displacement system according to the construction parameters combined with the permeability; the construction parameters include the construction injection volume, the construction injection speed and / or the construction injection concentration; and / or, According to the construction migration distance combined with the permeability, the corresponding construction parameters are determined based on the migration distance prediction chart of the resistance-increasing type displacement system.

7. A device for producing a migration distance prediction chart for a resistance-increasing displacement system, characterized in that: The device includes: Parameter module, suitable for determining the parameters of the resistance-increasing type control and flooding system; a resistance factor module, adapted to conduct a long core displacement experiment according to the parameters, obtain pressure data before and after the displacement, and determine a target resistance factor according to the pressure data; a migration module adapted to utilize the relationship between the resistance factor and the core position to determine the migration distance according to the target resistance factor; The chart module is suitable for constructing a prediction model based on the migration distance and drawing a contour map to obtain a migration distance prediction chart of the resistance-increasing type displacement system.

8. A computing device, characterized in that include: A processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute operations corresponding to the method for preparing a migration distance prediction chart of a resistance-increasing type adjustment and displacement system according to any one of claims 1 to 6.

9. A computer storage medium, characterized in that The storage medium stores at least one executable instruction, and the executable instruction enables the processor to execute operations corresponding to the method for preparing a migration distance prediction chart of a resistance-increasing type displacement system according to any one of claims 1 to 6.

10. A computer program product, characterized in that The method comprises at least one executable instruction, wherein the executable instruction enables the processor to execute operations corresponding to the method for preparing the migration distance prediction chart of the resistance-increasing type displacement system according to any one of claims 1 to 6.

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