Method and device for predicting parameters of damage to formations caused by water injected into oil fields

Abstract

The present invention provides a method and device for predicting the parameters of damage to the formation caused by the injection of water in an oil field. The method comprises: using the pollution radius control equation and the constraint condition equation of the injection of water formation to determine the prediction relationship between the bottom hole pressure and the production time under different candidate pollution radii of the injection of water formation pollution zone, combining it with the bottom hole pressure measurement data under different production times to determine the target pollution radius of the injection of water formation pollution zone, and based on the prediction relationship between the bottom hole pressure and the production time under the target pollution radius of the injection of water formation pollution zone, and the bottom hole pressure measurement data under different production times, determine the target permeability of the injection of water formation pollution zone. The method can accurately predict the degree of damage to the formation caused by the water quality of the injection of water in the oil field through the target pollution radius and the target permeability of the injection of water formation pollution zone, and provide theoretical guidance for the prediction of the pollution zone range and permeability in the process of water injection development of oil reservoirs.

Description

Technical Field

[0001] The invention relates to the technical field of oilfield development, and in particular to a method and a device for predicting parameters of damage to formations caused by water injected into an oilfield. Background Art

[0002] As oil fields gradually enter the high water content oil production stage, water injection development has become the main way to maintain the stability of oil reservoirs and improve crude oil recovery. In this process, injection water is injected into the formation and mixed with the oil reservoir water to maintain the pressure balance of the oil reservoir.

[0003] The oil content, suspended matter, bacteria and mineralization in the water injected into the oil field can easily have an adverse effect on the reservoir, change the seepage capacity of the reservoir, cause the permeability to decrease, and damage the reservoir. At present, the evaluation of the damage of water injected into the oil field is mostly based on core experiments, and the degree of damage is expressed by the rate of change of permeability. Core experiments are commonly used to evaluate the degree of damage to the permeability of water quality indicators in the injected water, but most of them belong to the evaluation of a single water quality indicator, and there is no evaluation of the permeability damage under multiple actual water quality conditions. In addition, the actual reservoir has strong heterogeneity and large permeability differences. A single core experiment result cannot simultaneously predict the permeability and contamination radius under reservoir conditions. Therefore, considering the influence of the above factors, it is of practical significance to study the contamination radius and permeability of the contaminated area of ​​the injected water formation in the oil reservoir water injection well after the formation damage caused by the injection of water in the oil reservoir water injection well. Summary of the invention

[0004] According to one aspect of the present disclosure, a method for predicting damage parameters of water injected into an oil field to a formation is provided, wherein the damage parameters include a target contamination radius of a formation contaminated by the injected water and a target permeability of the formation contaminated by the injected water. The method comprises:

[0005] Based on the physical model of water-injected formation contamination in the target reservoir water injection well, determine the contamination radius control equation and constraint equation of the water-injected formation expressed by the partial differential control equation of seepage;

[0006] Based on the pollution radius control equation of the water injection formation and the constraint condition equation, determine the prediction relationship between the bottom hole pressure of the water injection well in the target oil reservoir and the production time under different candidate pollution radii of the water injection formation pollution zone;

[0007] Determine the target contamination radius of the water injection formation contamination zone based on the predicted relationship between the bottom hole pressure of the target oil reservoir water injection well at different candidate contamination radii of the water injection formation contamination zone and the production time, and the bottom hole pressure measurement data of the target oil reservoir water injection well at different production times;

[0008] The target permeability of the water injection formation contamination zone is determined based on the predicted relationship between the bottom hole pressure of the target oil reservoir water injection well at the target contamination radius of the water injection formation contamination zone and the production time, the contamination radius control equation and the constraint condition equation.

[0009] According to another aspect of the present disclosure, a device for predicting damage parameters of water injected into a formation in an oil field is provided, wherein the damage parameters include a target contamination radius of a formation contaminated by the injected water and a target permeability of the formation contaminated by the injected water. The device comprises:

[0010] A modeling module is used to determine the pollution radius control equation and constraint condition equation of the injected water formation expressed by the seepage partial differential control equation based on the physical model of the injected water formation pollution in the target oil reservoir injection well;

[0011] A solution module, based on the pollution radius control equation of the water injection formation and the constraint condition equation, determines a prediction relationship between the bottom hole pressure of the water injection well of the target reservoir and the production time under different candidate pollution radii of the water injection formation pollution zone;

[0012] A prediction module is used to determine a target contamination radius of the water injection formation contamination zone based on a prediction relationship between the bottom hole pressure of the target oil reservoir water injection well at different candidate contamination radii of the water injection formation contamination zone and the production time, and bottom hole pressure measurement data of the target oil reservoir water injection well at different production times, and to determine a target permeability of the water injection formation contamination zone based on a prediction relationship between the bottom hole pressure of the target oil reservoir water injection well at the target contamination radius of the water injection formation contamination zone and the production time, a contamination radius control equation and a constraint condition equation.

[0013] According to another aspect of the present disclosure, there is provided an electronic device, comprising:

[0014] processor; and,

[0015] A memory for storing programs;

[0016] The program includes instructions, which, when executed by the processor, cause the processor to perform the method according to the exemplary embodiment of the present disclosure.

[0017] According to another aspect of the present disclosure, a non-transitory computer-readable storage medium is provided, wherein the non-transitory computer-readable storage medium is used to store computer instructions, wherein the computer instructions are used to cause the computer to execute the method according to the exemplary embodiments of the present disclosure.

[0018] One or more technical solutions provided in the embodiments of the present disclosure take into account that when the target oil reservoir formation is injected with water using the target oil reservoir water injection well, the water injected by the target oil reservoir water injection well flows in the target oil reservoir formation in the form of seepage. Therefore, the embodiments of the present application can determine the pollution radius control equation and constraint condition equation of the injected water formation expressed by the partial differential control equation of seepage based on the physical model of the injected water formation pollution in the target oil reservoir water injection well, and then determine the predicted relationship between the bottom hole pressure of the target oil reservoir water injection well and the production time at different candidate pollution radii in the injected water formation pollution zone based on the pollution radius control equation and constraint condition equation of the injected water formation. On this basis, the bottom hole pressure measurement data of the target oil reservoir water injection well at different production times can be used as a reference, and the target pollution radius of the injection water formation contamination zone can be determined based on the predicted relationship between the bottom hole pressure of the target oil reservoir water injection well at different candidate pollution radii of the injection water formation contamination zone and the production time, as well as the bottom hole pressure measurement data of the target oil reservoir water injection well at different production times. Finally, the target permeability of the injection water formation contamination zone can be determined based on the predicted relationship between the bottom hole pressure of the target oil reservoir water injection well at the target pollution radius of the injection water formation contamination zone and the production time, the pollution radius control equation and the constraint condition equation.

[0019] It can be seen that the exemplary embodiment of the present disclosure can mathematically model and solve the physical model of the injected water formation contamination in the target oil reservoir water injection well, and use the bottom hole pressure measurement data of the target oil reservoir water injection well at different production times as a reference to evaluate the solution results under different candidate contamination radii of the injected water formation contamination zone, thereby accurately screening out the target contamination radius of the injected water formation contamination zone, and obtaining the target permeability of the injected water formation contamination zone on this basis. Therefore, the method of the exemplary embodiment of the present disclosure can accurately predict the degree of damage to the formation caused by the water quality of the injected water in the oil field based on the target contamination radius and the target permeability of the injected water formation contamination zone, and provide theoretical guidance for the prediction of the contaminated area range and permeability in the process of water injection development of oil reservoirs. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Further details, features and advantages of the present disclosure are disclosed in the following description of exemplary embodiments in conjunction with the accompanying drawings, in which:

[0021] Figure 1 A schematic flow chart of a method for predicting damage parameters of water injected into an oil field to a formation according to an exemplary embodiment of the present disclosure is shown.

[0022] Figure 2A A schematic front view of a water injection formation contamination physical model according to an exemplary embodiment of the present disclosure is shown;

[0023] Figure 2B A schematic top view of a physical model of water injection formation contamination according to an exemplary embodiment of the present disclosure is shown;

[0024] Figure 3 A schematic diagram of a determination process of a prediction relationship according to an exemplary embodiment of the present disclosure is shown;

[0025] Figure 4 A schematic diagram of a process for determining a target contamination radius of a contaminated zone of a water-injected formation according to an exemplary embodiment of the present disclosure is shown;

[0026] Figure 5 A schematic diagram of a target pollution radius determination process based on candidate pollution radiuses is shown in an exemplary embodiment of the present disclosure;

[0027] Fig. 6A The bottom hole pressure and pressure variation curve of a water injection well under an infinite boundary of an exemplary embodiment of the present disclosure are shown;

[0028] Figure 6B The bottom hole pressure and pressure variation curve of a water injection well under a closed boundary of an exemplary embodiment of the present disclosure are shown;

[0029] Figure 7 A schematic block diagram of a device for predicting damage parameters of water injected into an oil field to a formation according to an exemplary embodiment of the present disclosure is shown;

[0030] Figure 8 A schematic block diagram of a chip according to an exemplary embodiment of the present disclosure is shown;

[0031] Fig. 9 A structural block diagram of an exemplary electronic device that can be used to implement the embodiments of the present disclosure is shown. DETAILED DESCRIPTION

[0032] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments described herein, which are instead provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0033] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0034] The term "including" and its variations used in this document are open inclusions, that is, "including but not limited to". The term "based on" means "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one other embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions of other terms will be given in the description below. It should be noted that the concepts of "first", "second", etc. mentioned in this disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0035] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0036] In the field of oil field development, after the initial oil production from the oil reservoir, the pressure of the oil reservoir energy storage decreases. In order to increase the pressure and further extract oil, water, gas, etc. are often injected into the oil reservoir to replenish energy for the rocks and fluids in the oil reservoir. This is called secondary oil recovery.

[0037] As oil fields gradually enter the high water content oil production stage, water injection development has become the main way to maintain the stability of oil reservoirs and improve crude oil recovery. In this process, injection water is injected into the oil reservoir and mixed with the oil reservoir water to maintain the pressure balance of the oil reservoir. At present, the reserves and production of water injection development oil fields account for more than 70%, and most oil fields are in the high / ultra-high water content period, with problems such as low injection water utilization and increased water injection costs. Moreover, affected by the temperature, pressure, mineralization of oil reservoir water and injected water, formation scaling is almost inevitable.

[0038] For example, when water is injected into an oil reservoir through an injection well, the injected water will mix with the oil reservoir water. If the water quality of the injected water and the oil reservoir water are incompatible, it will easily cause scale to form in the oil reservoir. Therefore, the water quality index of the injected water becomes an important factor affecting the later cost of oil field development.

[0039] Moreover, as the water injection process continues, changes in environmental factors such as the temperature, pressure, and water salinity of the reservoir will destroy the balance of the reservoir, leading to a gradual increase in scaling problems, which will cause great harm to daily production. Practice has shown that almost all oil fields face increasingly serious scaling problems in the middle and late stages of oil production. In addition, the commonly used numerical simulation technology cannot calculate the permeability of the contaminated area after the scaling of the reservoir, which is difficult to predict. As a result, the scaling problem of the reservoir seriously restricts the crude oil output of secondary oil recovery. Therefore, it is of practical significance to study the contamination radius and permeability of the contaminated area of ​​the water-injected formation in the reservoir water injection well after the water injection damages the formation.

[0040] In response to the above problems, an exemplary embodiment of the present disclosure provides a method for predicting damage parameters of oil field injected water to formations, which can accurately predict the pollution parameters of the injected water formations. The damage parameters may include: target pollution radius of the injected water formation contamination zone and target permeability of the injected water formation contamination zone, thereby providing strong theoretical support for secondary recovery.

[0041] In practical applications, the method of the exemplary embodiment of the present disclosure can be executed by an electronic device or a chip applied to an electronic device. The electronic device can be a server or a terminal device, and the terminal device includes but is not limited to a desktop computer, a laptop computer, a mobile phone, etc.

[0042] Figure 1 The flowchart of the method for predicting the damage parameters of the oil field injection water to the formation according to the exemplary embodiment of the present disclosure is shown. Figure 1 As shown, the method for predicting the damage parameters of the oil field injected water to the formation according to the exemplary embodiment of the present disclosure may include:

[0043] Step 101: Based on the physical model of the water-injected formation contamination in the water injection well of the target reservoir, determine the contamination radius control equation and constraint equation of the water-injected formation expressed by the partial differential control equation of the seepage. It should be understood that the target reservoir of the exemplary embodiment of the present disclosure may refer to a high-water-content reservoir, whose water content may be 60% to 90% by mass fraction. The characteristics of the high-water-content reservoir refer to the heterogeneity of the reservoir and the unevenness of the water flow conditions of the oil layer during the production process due to long-term strong injection and strong production after the oil field enters the high-water-content stage.

[0044] In practical applications, the boundary of the target reservoir of the exemplary embodiment of the present disclosure can be closed or infinite. Therefore, the physical model of formation pollution by water injection in the target reservoir water injection well can be divided into a physical model of formation pollution by water injection in a reservoir water injection well with infinite boundary (referred to as the first pollution physical model), and a physical model of formation pollution by water injection in a reservoir water injection well with closed boundary (referred to as the second pollution physical model).

[0045] Similarly, the pollution radius control equation of the injected water formation can also be divided into the pollution radius control equation of the injected water formation in the injection well of the infinite boundary oil reservoir (referred to as the first pollution mathematical model) and the pollution radius control equation of the injected water formation in the injection well of the closed boundary oil reservoir (referred to as the second pollution mathematical model) according to the boundary constraints of the target oil reservoir.

[0046] Step 102: Based on the pollution radius control equation and constraint condition equation of the water injection formation, determine the prediction relationship between the bottom hole pressure of the water injection well in the target oil reservoir and the production time under different candidate pollution radii of the water injection formation pollution zone.

[0047] In practical applications, the exemplary embodiment of the present disclosure can determine the prediction relationship between the bottom hole pressure of the target oil reservoir water injection well, the pollution radius of the injection water formation pollution zone and the production time based on the pollution radius control equation and constraint condition equation of the injection water formation pollution zone, and then use multiple candidate pollution radii of the injection water formation pollution zone to respectively configure the prediction relationship between the bottom hole pressure of the target oil reservoir water injection well, the pollution radius of the injection water formation pollution zone and the production time, and obtain the dimensionless prediction relationship between the bottom hole pressure of the target oil reservoir water injection well and the production time under multiple candidate pollution radii of the injection water formation pollution zone.

[0048] Exemplarily, when configuring the prediction relationship between the bottom hole pressure of the target oil reservoir water injection well, the pollution radius of the injection water formation pollution zone and the production time, the exemplary embodiment of the present disclosure may configure multiple candidate pollution radii at one time, or may configure the candidate pollution radii one by one for the dimensionless prediction relationship between the bottom hole pressure of the target oil reservoir water injection well at multiple candidate pollution radii of the injection water formation pollution zone and the production time.

[0049] Step 103: Determine the target contamination radius of the injection water formation contamination zone based on the predicted relationship between the bottom hole pressure of the target oil reservoir injection well at different candidate contamination radii of the injection water formation contamination zone and the production time, and the bottom hole pressure measurement data of the target oil reservoir injection well at different production times.

[0050] In practical applications, the bottom hole pressure measurement data of the target reservoir water injection well at different production times can be used as a reference, and the target contamination radius of the injection water formation contamination zone can be determined based on the predicted relationship between the bottom hole pressure of the target reservoir water injection well at different candidate contamination radii of the injection water formation contamination zone and the production time, as well as the bottom hole pressure measurement data (actually measured data) of the target reservoir water injection well at different production times. It can be seen that the bottom hole pressure measurement data of the target reservoir water injection well at different production times of the exemplary embodiment of the present disclosure can actually be regarded as reference data, which can evaluate the accuracy of each candidate contamination radius and be used to determine the target contamination radius of the injection water formation contamination zone.

[0051] Step 104: Determine the target permeability of the water injection formation contamination zone based on the predicted relationship between the bottom hole pressure of the target reservoir water injection well at the target contamination radius of the water injection formation contamination zone and the production time, the contamination radius control equation and the constraint condition equation.

[0052] When the target contamination radius of the water-injected formation contamination zone is known, the target contamination radius of the water-injected formation contamination zone can be substituted into the contamination radius control equation and the constraint condition equation, and combined with the predicted relationship between the bottom hole pressure of the target reservoir injection well and the production time under the target contamination radius of the water-injected formation contamination zone, the target permeability of the water-injected formation contamination zone can be obtained.

[0053] In practical applications, the embodiments of the present application can determine the degree of damage to the formation caused by the water quality of the injected water in the oil field based on the target pollution radius of the injected water formation pollution zone and the target permeability of the injected water formation pollution zone. For example, a mapping relationship between the pollution radius of the injected water formation pollution zone, the permeability of the injected water formation pollution zone, and the degree of damage to the formation caused by the water quality of the injected water in the oil field can be established. After the target pollution radius of the injected water formation pollution zone and the target permeability of the injected water formation pollution zone are determined through steps 101 to 104, the corresponding degree of damage to the formation caused by the water quality of the injected water in the oil field can be obtained from the mapping relationship.

[0054] As a possible implementation method, the physical model of water injection formation contamination in the target oil reservoir water injection well of the exemplary embodiment of the present disclosure satisfies: the reservoir constraints of the target oil reservoir, the wellbore constraints of the target oil reservoir water injection well, the water injection constraints of the target oil reservoir water injection well, and the reservoir fluid flow conditions of the target oil reservoir.

[0055] The reservoir constraints of the target oil reservoir include the reservoir boundary constraints of the target oil reservoir, the reservoir geological constraints of the target oil reservoir, the reservoir temperature constraints of the target oil reservoir, and the reservoir permeability constraints of the target oil reservoir determined by the skin effect.

[0056] The wellbore constraints of the target oil reservoir water injection well are determined by the wellbore energy storage effect of the target oil reservoir water injection well. The water injection constraints of the target oil reservoir water injection well include the water injection flow rate constraints and water injection phase constraints of the target oil reservoir water injection well.

[0057] Among them, the physical model of formation pollution caused by injection of water in the water injection well of the target oil reservoir can be divided into a physical model of formation pollution caused by injection of water in the water injection well of the infinite boundary oil reservoir (referred to as the first pollution physical model) and a physical model of formation pollution caused by injection of water in the water injection well of the closed boundary oil reservoir (referred to as the second pollution physical model) according to the boundary constraints of the target oil reservoir. Therefore, among the constraints satisfied by the first pollution physical model and the second pollution physical model, except for the reservoir boundary constraints of the target oil reservoir, other constraints can be the same.

[0058] The above-mentioned pollution radius control equation of the injected water formation can also be divided into the pollution radius control equation of the injected water formation in the water injection well of the infinite boundary oil reservoir (referred to as the first pollution mathematical model), and the pollution radius control equation of the injected water formation in the water injection well of the closed boundary oil reservoir (referred to as the second pollution mathematical model) according to whether the boundary of the target oil reservoir is closed.

[0059] Figure 2A A schematic diagram of a front view of a water injection formation contamination physical model according to an exemplary embodiment of the present disclosure is shown. Figure 2B FIG. 1 is a schematic top view of a physical model of water injection formation contamination according to an exemplary embodiment of the present disclosure. Figure 2A and Figure 2B As shown, the water injection formation contamination physical model 200 may include a contaminated area 202 centered on the water injection well 201, and a non-contaminated area 203 surrounding the contaminated area. f represents the contamination radius of the water-injected formation contamination zone in the target reservoir water injection well, R e Represents the radius of the non-contaminated area of ​​the water-injected formation in the target reservoir water injection well. Based on this, the pollution radius control equation of the water-injected formation of the exemplary embodiment of the present disclosure may include:

[0060] The partial differential control equation of seepage in the contaminated area of ​​the injected water formation and the partial differential control equation of seepage in the non-contaminated area of ​​the injected water formation can control the contamination radius of the contaminated area of ​​the injected water formation through the partial differential control method of the contaminated area and the non-contaminated area. At the same time, the constraint condition equation includes: the boundary condition equation of the contaminated area of ​​the injected water formation, the boundary condition equation of the non-contaminated area of ​​the injected water formation, and the continuous boundary condition equation of the contaminated area and the non-contaminated area of ​​the injected water formation. For the constraint condition equations corresponding to the first pollution mathematical model and the second pollution mathematical model, except for the boundary condition equation of the non-contaminated area of ​​the injected water formation, the other constraint condition equations are the same.

[0061] When the target reservoir is a low-permeability and high-water-content reservoir, the reservoir geological parameters, physical parameters of injected water, injection volume, injection pressure and other production history data of the low-permeability and high-water-content reservoir can be collected to establish a physical model of formation contamination by injected water in injection wells of low-permeability and high-water-content reservoirs. In this case, the physical model of formation contamination by injected water in injection wells of low-permeability and high-water-content reservoirs can meet the following assumed constraints:

[0062] (1) When the physical model of stratum contamination by water injected into a water injection well of a low-permeability and high-water-content oil reservoir is the first physical model, the reservoir boundary constraint condition of the low-permeability and high-water-content oil reservoir may be that the reservoir of the low-permeability and high-water-content oil reservoir is infinite in horizontal direction; when the physical model of stratum contamination by water injected into a water injection well of a low-permeability and high-water-content oil reservoir is the second physical model, the reservoir boundary constraint condition of the low-permeability and high-water-content oil reservoir may be that the reservoir of the low-permeability and high-water-content oil reservoir is limited in horizontal direction.

[0063] (2) The reservoir geological constraints of low-permeability and high-water-content oil reservoirs may include that the reservoir of the target oil reservoir is homogeneous, equal in thickness, and isotropic;

[0064] (3) The reservoir temperature constraint of the low permeability and high water content oil reservoir may include: the reservoir temperature of the low permeability and high water content oil reservoir is constant. The reservoir permeability constraint of the low permeability and high water content oil reservoir determined by the skin effect may include: considering the skin effect.

[0065] (4) The reservoir fluid flow conditions of the low-permeability and high-water-content oil reservoir may include that the fluid flow in the reservoir of the low-permeability and high-water-content oil reservoir belongs to a plane radial flow.

[0066] (5) The water injection constraints of the water injection wells in the low-permeability and high-water-content oil reservoirs may include: the water injection wells in the low-permeability and high-water-content oil reservoirs mainly use single-phase fluid flow during the water injection process and satisfy Darcy's law; and the water injection wells in the low-permeability and high-water-content oil reservoirs inject at a constant flow rate during the water injection process.

[0067] (6) The wellbore constraints of water injection wells in low-permeability and high-water-content reservoirs are determined by the wellbore energy storage effect of the water injection wells in the target reservoir.

[0068] As a possible implementation, the pollution radius control equation of the water injection formation of the exemplary embodiment of the present disclosure may include equation 1 and equation 2:

[0069]

[0070]

[0071] Among them, p1 represents the pressure of the contaminated zone of the water-injected formation in the water injection well of the target oil reservoir, p2 represents the pressure of the non-contaminated zone of the water-injected formation in the water injection well of the target oil reservoir, r represents the radial distance from any point of the reservoir of the target oil reservoir to the center of the water injection well, K1 represents the target permeability of the contaminated zone of the water-injected formation in the water injection well of the target oil reservoir, K1 represents the target permeability of the non-contaminated zone of the water-injected formation in the water injection well of the target oil reservoir, μ1 represents the fluid viscosity of the contaminated zone of the water-injected formation in the water injection well of the target oil reservoir, μ2 represents the fluid viscosity of the non-contaminated zone of the water-injected formation in the water injection well of the target oil reservoir, Indicates the porosity of the water-injected formation contaminated area in the target reservoir water injection well. It represents the porosity of the non-contaminated zone of the water-injected formation in the water injection well of the target oil reservoir, and t represents the production time of the water injection well of the target oil reservoir.

[0072] Due to the influence of the injected water formation during water injection, additional pressure is generated around the injection well. The boundary conditions of the injected water formation contamination zone need to consider the skin effect and the wellbore reservoir effect. Therefore, the boundary condition equation of the injected water formation contamination zone can be expressed as formula 3:

[0073]

[0074] Where C represents the wellbore storage coefficient of the target reservoir water injection well, S represents the skin coefficient, r w represents the wellbore radius of the target reservoir water injection well, h represents the reservoir thickness of the target reservoir, and p w represents the bottom hole pressure of the water injection well of the target oil reservoir, q represents the flow rate of the target oil reservoir, and B represents the reservoir fluid volume coefficient of the target oil reservoir.

[0075] The boundary condition equation of the non-polluted zone of the water-injected formation can be divided into an infinite boundary condition equation of the non-polluted zone of the water-injected formation and a closed boundary condition equation of the non-polluted zone of the water-injected formation.

[0076] When the boundary condition equation of the non-polluted zone of the water-injected formation is the infinite boundary condition equation of the non-polluted zone of the water-injected formation, the infinite boundary condition equation of the non-polluted zone of the water-injected formation can be expressed as Formula 4:

[0077] p2(r→∞,t)=0 Formula 4

[0078] When the boundary condition equation of the non-polluted zone of the water-injected formation is the closed boundary condition equation of the non-polluted zone of the water-injected formation, the infinite boundary condition equation of the non-polluted zone of the water-injected formation can be expressed as Formula 5:

[0079]

[0080] Where: R represents the reservoir radius of the target reservoir.

[0081] The continuous boundary condition equations for the contaminated area and the non-contaminated area of ​​the injected water formation can be expressed as Equation 6 and Equation 7:

[0082] p1(r,t)=p2(r,t) Formula 6

[0083]

[0084] As a possible implementation method, when the bottom hole pressure of the target reservoir water injection well, the pollution radius of the injection water formation pollution zone and the production time are predicted, including: the real domain prediction relationship between the bottom hole pressure of the target reservoir water injection well and the production time under different pollution radii of the injection water formation pollution zone, in order to facilitate the solution of the pollution radius control equation of the injection water formation pollution zone, Figure 3FIG. 2 shows a schematic diagram of a process for determining a prediction relationship according to an exemplary embodiment of the present disclosure. Figure 3 As shown, the exemplary embodiment of the present disclosure determines the prediction relationship between the bottom hole pressure of the water injection well of the target reservoir, the contamination radius of the contaminated area of ​​the water injection formation and the production time based on the contamination radius control equation of the water injection formation and the constraint condition equation, which may include:

[0085] Step 301: non-dimensionalize the pollution radius control equation and constraint condition equation of the water-injected formation to obtain the dimensionless pollution radius control equation and dimensionless constraint condition equation of the water-injected formation.

[0086] In practical applications, the various parameters involved in the pollution radius control equation and constraint condition equation of the water injection formation can be first expressed in a dimensionless manner, and then the dimensionless parameters can be substituted into the pollution radius control equation and constraint condition equation of the water injection formation, so as to achieve the purpose of simplifying the pollution radius control equation and constraint condition equation of the water injection formation.

[0087] Step 302: Based on the dimensionless contamination radius control equation and the dimensionless constraint condition equation of the water injection formation, determine the dimensionless prediction relationship between the bottom hole pressure of the target reservoir water injection well and the production time at different contamination radii of the water injection formation contamination zone.

[0088] In practical applications, the dimensionless pollution radius control equation and the dimensionless constraint condition equation of the injected water formation can be Laplace transformed. In the Laplace domain, the dimensionless prediction relationship between the bottom hole pressure of the target oil reservoir injection well and the production time under different pollution radii in the injected water formation contamination zone can be solved.

[0089] Step 303: Based on the dimensionless prediction relationship between the bottom hole pressure of the target oil reservoir injection well and the production time at different pollution radii of the injection water formation pollution zone, determine the real domain prediction relationship between the bottom hole pressure of the target oil reservoir injection well and the production time at different candidate pollution radii of the injection water formation pollution zone.

[0090] In practical applications, the Stehfest numerical inversion method can be used to perform an inverse Laplace transform on the dimensionless prediction relationship between the bottom hole pressure of the target oil reservoir injection well and the production time at different pollution radii of the injection water formation contamination zone, thereby obtaining the real domain prediction relationship between the bottom hole pressure of the target oil reservoir injection well and the production time at different pollution radii of the injection water formation contamination zone.

[0091] Taking the pollution radius control equation and constraint condition equation of the injected water formation involved in equations 1 to 7 as an example, dimensionless variables are defined as follows:

[0092] The dimensionless bottom hole pressure p of the target reservoir water injection well wD It can be expressed as Equation 8: The dimensionless pressure p of the water-injected formation contaminated zone in the target reservoir water injection well is 1D It can be expressed as Equation 9: The dimensionless pressure p of the non-contaminated area of ​​the water-injected formation in the target reservoir water injection well is 2D It can be expressed as formula ten.

[0093]

[0094]

[0095] Among them, p i Indicates the original reservoir pressure of the target reservoir.

[0096] The dimensionless production time t of the water injection well in the target reservoir D It can be expressed as formula 11:

[0097]

[0098] in, It represents the total compressibility factor of the formation contaminated area injected with water in the injection well of the target oil reservoir.

[0099] The dimensionless wellbore storage coefficient C of the target reservoir water injection well D It can be expressed as formula twelve:

[0100]

[0101] The dimensionless mobility ratio M between the injected water formation contaminated area and the non-contaminated area in the target reservoir water injection well can be expressed as Equation 13:

[0102]

[0103] Dimensionless diffusion coefficient ratio of injected water in the target reservoir’s water injection well between the contaminated and non-contaminated formation areas It can be expressed as formula 14:

[0104]

[0105] in, It represents the total compressibility factor of the non-contaminated area of ​​the water-injected formation in the target oil reservoir injection well.

[0106] The dimensionless radius r of the formation contaminated by injected water in the target reservoir injection well fD It can be expressed as formula 15:

[0107]

[0108] Among them, r fIt indicates the contamination radius of the formation contamination zone injected with water in the target oil reservoir injection well.

[0109] When the target reservoir is a closed boundary reservoir, the dimensionless radius R of the non-contaminated zone of the water-injected formation in the water injection well of the target reservoir is eD It can be expressed as formula 16:

[0110]

[0111] Among them, R e It indicates the radius of the non-contaminated zone of the water-injected formation in the target oil reservoir injection well.

[0112] The dimensionless radial distance r from any point in the target reservoir to the center of the injection well D It can be expressed as formula 17:

[0113]

[0114] When the boundary of the target reservoir is infinite, the first pollution mathematical model and the constraint condition equation of the first pollution mathematical model can be dimensionless based on equations 8 to 15 and 17, and then the constraint condition equation of the first pollution mathematical model and the constraint condition equation of the first pollution mathematical model are Laplace transformed, and the dimensionless prediction relationship between the bottom hole pressure of the water injection well of the target reservoir, the contamination radius of the water injection formation contamination zone and the production time is solved in the Laplace domain, and its expression can be shown as equation 18:

[0115]

[0116] in, represents the dimensionless bottom hole pressure of the water injection well in the target reservoir with infinite boundary;

[0117]

[0118]

[0119] When the boundary of the target reservoir is closed, the constraint equations of the second pollution mathematical model and the second pollution mathematical model can be dimensionless based on equations 8 to 17, and then the constraint equations of the second pollution mathematical model and the constraint equations of the second pollution mathematical model are Laplace transformed, and the dimensionless prediction relationship between the bottom hole pressure of the water injection well of the target reservoir, the contamination radius of the water injection formation contamination zone and the production time is solved in the Laplace domain. The expression can be shown as equation 19:

[0120]

[0121] in, represents the dimensionless bottom hole pressure of the water injection well in the closed boundary target reservoir;

[0122]

[0123]

[0124]

[0125] In Equations 18 and 19, e represents a Laplace variable, I0(·) represents a first-kind zero-order Bessel function, I1(·) represents a first-kind first-order Bessel function, G0(x) represents a second-kind zero-order Bessel function, and G1(x) represents a second-kind first-order Bessel function.

[0126] When the dimensionless prediction relationship between the bottom hole pressure of the target oil reservoir water injection well, the pollution radius of the injection water formation pollution zone and the production time is solved, the Stehfest numerical inversion method can be used to perform Laplace inverse transformation on the dimensionless prediction relationship between the bottom hole pressure of the target oil reservoir water injection well, the pollution radius of the injection water formation pollution zone and the production time, so as to obtain the real domain prediction relationship between the bottom hole pressure of the target oil reservoir water injection well, the pollution radius of the injection water formation pollution zone and the production time, which can be expressed as Formula 20:

[0127]

[0128] Among them, p wD represents the actual bottom hole pressure of the target reservoir water injection well, represents the dimensionless bottom hole pressure of the water injection well in the target reservoir. When the boundary of the target reservoir is infinite, When the boundary of the target reservoir is closed,

[0129] N is an empirical constant, generally 8, and i represents a positive integer from 1 to N.

[0130] It can be seen from equations 18 to 20 that the real-domain prediction relationship between the bottom hole pressure of the target reservoir water injection well, the contamination radius of the water injection formation contamination zone, and the production time in the exemplary embodiment of the present disclosure refers to a functional expression of the bottom hole pressure of the target reservoir water injection well with respect to the contamination radius of the water injection formation contamination zone and the production time. When a candidate contamination radius is given, the real-domain prediction relationship between the bottom hole pressure of the target reservoir water injection well and the production time under a certain candidate contamination radius of the water injection formation contamination zone can be obtained.

[0131] As a possible implementation, Figure 4 FIG. 2 shows a schematic diagram of a process for determining a target contamination radius of a contaminated zone of a water-injected formation according to an exemplary embodiment of the present disclosure. Figure 4As shown, based on the prediction relationship between the bottom hole pressure of the target oil reservoir water injection well at different candidate contamination radii of the water injection formation contamination zone and the production time, and the bottom hole pressure measurement data of the target oil reservoir water injection well at different production times, determining the target contamination radius of the water injection formation contamination zone may include:

[0132] Step 401: Based on the bottom hole pressure measurement data of the target oil reservoir water injection well at different production times, determine the measurement relationship between the bottom hole pressure and the production time of the target oil reservoir water injection well.

[0133] In practical applications, production data of target oil reservoir water injection wells can be collected. These production data can actually be regarded as bottom hole pressure measurement data of target oil reservoir water injection wells at different production times. Then, the bottom hole pressure measurement data of target oil reservoir water injection wells at different production times are fitted to obtain the measurement relationship between the bottom hole pressure of the target oil reservoir water injection well and the production time, that is, the reference function expression of the bottom hole pressure of the target oil reservoir water injection well with respect to the production time (referred to as the reference function expression of pressure-time for short).

[0134] Step 402: Based on the predicted relationship between the bottom hole pressure of the target oil reservoir injection well at each candidate contamination radius of the injected water formation contamination zone and the production time, and the measured relationship between the bottom hole pressure of the target oil reservoir injection well and the production time, determine the first matching degree between the predicted relationship and the measured relationship corresponding to each candidate contamination radius of the target oil reservoir injection well.

[0135] In practical applications, the real-domain prediction relationship between the bottom hole pressure of the target oil reservoir water injection well and the production time at a certain candidate contamination radius of the injection water formation contamination zone can be regarded as a function expression of the real-domain bottom hole pressure of the target oil reservoir water injection well with respect to the production time of the target oil reservoir water injection well when the contamination radius of the injection water formation contamination zone is fixed (referred to as the candidate function expression of pressure-time at different candidate contamination radii). Therefore, the matching degree of the candidate function expression of pressure-time at different candidate contamination radii and the reference function expression of pressure-time can be evaluated by various function image similarity algorithms, so as to obtain the first matching degree of the prediction relationship and the measurement relationship corresponding to each candidate contamination radius of the target oil reservoir water injection well.

[0136] Step 403: When the first matching degree between the predicted relationship and the actual relationship corresponding to the candidate contamination radius of the target reservoir water injection well is greater than or equal to the first preset matching degree, the target contamination radius of the injected water formation contamination zone is determined based on the candidate contamination radius of the injected water formation contamination zone.

[0137] If the first matching degree between the predicted relationship and the actual relationship corresponding to a candidate contamination radius of the target reservoir water injection well is less than the first preset matching degree, it means that the accuracy of the candidate contamination radius of the injection water formation contamination zone is not high. If the first matching degree between the predicted relationship and the actual relationship corresponding to a candidate contamination radius of the target reservoir water injection well is greater than or equal to the first preset matching degree, it means that the accuracy of the candidate contamination radius of the injection water formation contamination zone is relatively high, and the target contamination radius of the injection water formation contamination zone can be determined based on the candidate contamination radius of the injection water formation contamination zone. For example: the target contamination radius of the injection water formation contamination zone can be set equal to the candidate contamination radius of the injection water formation contamination zone. For another example: the accuracy of the candidate contamination radius of the injection water formation contamination zone can be further evaluated.

[0138] Exemplarily, if the first degree of match between the predicted relationship corresponding to a candidate contamination radius of a target oil reservoir water injection well and the actual relationship is less than a first preset degree of match, the real-domain predicted relationship between the bottom hole pressure of the target oil reservoir water injection well, the contamination radius of the injected water formation contamination zone and the production time can be reconfigured to obtain the real-domain predicted relationship between the bottom hole pressure of the target oil reservoir water injection well, another candidate contamination radius of the injected water formation contamination zone and the production time, and then execute step 402.

[0139] For example, it is considered that the bottom hole pressure of the target oil reservoir water injection well may not be particularly sensitive to changes over time, while the change in the bottom hole pressure of the target oil reservoir water injection well is relatively sensitive to changes over time. Figure 5 FIG. 2 shows a schematic diagram of a target pollution radius determination process based on a candidate pollution radius according to an exemplary embodiment of the present disclosure. Figure 5 As shown, the exemplary embodiment of the present disclosure determines the target contamination radius of the water-injected formation contamination zone based on the candidate contamination radius of the water-injected formation contamination zone, which may include:

[0140] Step 501: Based on the bottom hole pressure measurement data of the target oil reservoir water injection well at different production times, determine the measurement relationship between the bottom hole pressure change and the production time of the target oil reservoir water injection well.

[0141] In practical applications, we can refer to the relevant description in the previous article to determine the reference function expression of the bottom hole pressure of the target oil reservoir water injection well with respect to the production time, and then differentiate the function expression of the bottom hole pressure of the target oil reservoir water injection well with respect to the production time, so as to obtain the measurement relationship between the change in the bottom hole pressure of the target oil reservoir water injection well and the production time, that is, the reference function expression of the change in the bottom hole pressure of the target oil reservoir water injection well with respect to the production time (referred to as the reference function expression of pressure change-time).

[0142] Step 502: Based on the predicted relationship between the bottom hole pressure of the target oil reservoir injection well at each candidate contamination radius of the injection water formation contamination zone and the production time, determine the predicted relationship between the change in the bottom hole pressure of the target oil reservoir injection well at each candidate contamination radius of the injection water formation contamination zone and the production time.

[0143] In practical applications, when the real-domain prediction relationship between the bottom hole pressure of the target oil reservoir injection well at a certain candidate pollution radius in the water injection formation contamination zone and the production time is regarded as a reference function expression of the pressure change-time, the reference function expression of the pressure change-time can be differentiated to obtain the prediction relationship between the bottom hole pressure change of the target oil reservoir injection well at each candidate pollution radius in the water injection formation contamination zone and the production time, that is, the functional relationship between the bottom hole pressure change of the water injection well in the low-permeability and high-water-content oil reservoir at each candidate pollution radius in the water injection formation contamination zone and the production time (referred to as the candidate function expression of the pressure change-time at different candidate pollution radii).

[0144] Step 503: Based on the predicted relationship between the change in bottom hole pressure of the target oil reservoir water injection well at each candidate contamination radius of the injected water formation contamination zone and the production time, and the measured relationship between the change in bottom hole pressure of the target oil reservoir water injection well and the production time, determine the second matching degree between the predicted relationship and the measured relationship corresponding to each candidate contamination radius of the target oil reservoir water injection well.

[0145] When the measured relationship between the bottom hole pressure change and the production time of the target oil reservoir injection well can be regarded as a reference function expression of the pressure change-time, and the predicted relationship between the bottom hole pressure change and the production time of the target oil reservoir injection well at each candidate contamination radius of the injected water formation contamination zone can be regarded as a candidate function expression of the pressure change-time at different candidate contamination radii, therefore, the matching degree of the candidate function expression of the pressure change-time at different candidate contamination radii and the reference function expression of the pressure change-time can be evaluated by various function image similarity algorithms, so as to obtain the second matching degree of the predicted relationship and the measured relationship corresponding to each candidate contamination radius of the low-permeability and high-water-content oil reservoir injection well.

[0146] Step 504: If the second matching degree between the prediction relationship and the measurement relationship corresponding to the candidate contamination radius of the target reservoir water injection well is greater than or equal to the second preset matching degree, the candidate contamination radius of the target reservoir water injection well is determined to be the target contamination radius of the injected water formation contamination zone.

[0147] In actual applications, when the first degree of matching between the predicted relationship and the actual relationship corresponding to a candidate pollution radius of a target oil reservoir injection well is greater than or equal to a first preset matching degree, if the second degree of matching between the predicted relationship and the measured relationship corresponding to the candidate pollution radius of the target oil reservoir injection well is greater than or equal to a second preset matching degree, then the accuracy of the candidate pollution radius of the injection water formation contamination zone is higher, and the target pollution radius of the injection water formation contamination zone can be set equal to the candidate pollution radius of the injection water formation contamination zone.

[0148] In some embodiments, the exemplary embodiments of the present disclosure may plot a double logarithmic curve of pressure recovery with pressure and pressure derivative as ordinates and time as abscissa.

[0149] Specifically, the curves of pressure-time at different candidate pollution radii can be plotted in a double logarithmic coordinate system based on the candidate function expression of pressure-time at different candidate pollution radii, the reference curve of pressure-time can be plotted in a double logarithmic coordinate system based on the reference function expression of pressure-time, and the matching degree between the curves of pressure-time at different candidate pollution radii and the reference curve of pressure-time plotted in a double logarithmic coordinate system by the reference function expression of pressure-time can be judged, so as to obtain the first matching degree. At the same time, the curves of pressure variation-time at different candidate pollution radii can be plotted in a double logarithmic coordinate system based on the candidate function expression of pressure variation-time at different candidate pollution radii, the reference curve of pressure variation-time can be plotted in a double logarithmic coordinate system based on the reference function expression of pressure-time, and the matching degree between the curves of pressure variation-time at different candidate pollution radii and the reference curve of pressure-time plotted in a double logarithmic coordinate system by the reference function expression of pressure variation-time can be judged, so as to obtain the second matching degree. When the first matching degree is greater than the first preset matching degree and the second matching degree is greater than the second preset matching degree, it can be determined that the candidate contamination radius of the target reservoir water injection well is the target contamination radius of the injected water formation contamination zone.

[0150] In order to facilitate understanding of the method for determining contamination parameters of a water-injected formation according to an exemplary embodiment of the present disclosure, an example description is given below with reference to the accompanying drawings.

[0151] 1. When the target reservoir is an infinite boundary low permeability high water content reservoir, Table 1 shows the relevant parameters of the infinite boundary low permeability high water content reservoir.

[0152] Table 1 Related parameters of infinite boundary low permeability high water content reservoir

[0153] parameter Numeric Reservoir thickness / m 5.8 Porosity 0.102 <![CDATA[Total compressibility coefficient / MPa -1 > <![CDATA[4.35×10 -4 ]]> Initial pressure MPa 31.6 Reservoir permeability mD 5.2 Fluid viscosity / mPa.s 1 <![CDATA[Water injection rate m 3 / d]]> 35 Well diameter / m 0.1

[0154] An exemplary embodiment of the present disclosure can define the pressure-time curve of the infinite boundary low-permeability and high-water-content oil reservoir as the bottom hole pressure curve of the water injection well under the infinite boundary, and define the pressure change-time curve of the water injection well under the infinite boundary as the bottom hole pressure change curve of the water injection well under the infinite boundary. Fig. 6A The bottom hole pressure and pressure variation curve of the water injection well under the infinite boundary of the exemplary embodiment of the present disclosure are shown. Fig. 6A , we can finally determine that the target contamination radius of the contaminated zone of the water-injected formation in the water injection well of the low-permeability and high-water-content oil reservoir under the infinite boundary is equal to 8.5m, and based on this, we can determine that the target permeability of the contaminated zone of the water-injected formation in the water injection well of the low-permeability and high-water-content oil reservoir is equal to 4.68mD. Fig. 6A In the figure, the bottom hole pressure curve and the pressure-time reference curve of the water injection well under infinite boundary at a certain candidate pollution radius are located above the double logarithmic coordinate system, while the bottom hole pressure change curve and the pressure-time reference change curve of the water injection well under infinite boundary at a certain candidate pollution radius are located below the double logarithmic coordinate system.

[0155] 2. When the target reservoir is a closed boundary low permeability and high water content reservoir, Table 2 shows the relevant parameters of the infinite boundary low permeability and high water content reservoir.

[0156] Table 2 shows the relevant parameters of closed boundary low permeability high water content reservoir

[0157] parameter Numeric Reservoir thickness / m 7.8 Porosity 0.115 <![CDATA[Total compressibility coefficient / MPa -1 > <![CDATA[4.35×10 -4 ]]> Initial pressure MPa 29.2 Reservoir permeability mD 6.7 Fluid viscosity / mPa.s 1 <![CDATA[Water injection rate m 3 / d]]> 32 Well diameter / m 0.1 Boundary distance / m 850

[0158] An exemplary embodiment of the present disclosure can define the pressure-time curve of a closed-boundary low-permeability and high-water-content oil reservoir as a bottom hole pressure curve of a closed water injection well, and define the pressure change-time curve of a closed-boundary water injection well as a bottom hole pressure change curve of a closed-boundary water injection well. Figure 6B The bottom hole pressure and pressure change curve of the water injection well under the closed boundary of the exemplary embodiment of the present disclosure are shown. Figure 6B , we can finally determine that the target contamination radius of the contaminated zone of the water-injected formation in the water injection well of the low-permeability and high-water-content oil reservoir under the closed boundary is equal to 11.7m, and based on this, we can determine that the target permeability of the contaminated zone of the water-injected formation in the water injection well of the low-permeability and high-water-content oil reservoir is equal to 5.69mD. Figure 6B In the figure, the bottom hole pressure curve and the pressure-time reference curve of the water injection well under the closed boundary at a certain candidate pollution radius are located above the double logarithmic coordinate system, while the bottom hole pressure change curve and the pressure-time reference change curve of the water injection well under the closed boundary at a certain candidate pollution radius are located below the double logarithmic coordinate system.

[0159] One or more technical solutions provided in the embodiments of the present disclosure take into account that when the target oil reservoir formation is injected with water using the target oil reservoir water injection well, the water injected by the target oil reservoir water injection well flows in the target oil reservoir formation in the form of seepage. Therefore, the embodiments of the present application can determine the pollution radius control equation and constraint condition equation of the injected water formation expressed by the partial differential control equation of seepage based on the physical model of the injected water formation pollution in the target oil reservoir water injection well, and then determine the predicted relationship between the bottom hole pressure of the target oil reservoir water injection well and the production time at different candidate pollution radii in the injected water formation pollution zone based on the pollution radius control equation and constraint condition equation of the injected water formation. On this basis, the bottom hole pressure measurement data of the target oil reservoir water injection well at different production times can be used as a reference, and the target pollution radius of the injection water formation contamination zone can be determined based on the predicted relationship between the bottom hole pressure of the target oil reservoir water injection well at different candidate pollution radii of the injection water formation contamination zone and the production time, as well as the bottom hole pressure measurement data of the target oil reservoir water injection well at different production times. Finally, the target permeability of the injection water formation contamination zone can be determined based on the predicted relationship between the bottom hole pressure of the target oil reservoir water injection well at the target pollution radius of the injection water formation contamination zone and the production time, the pollution radius control equation and the constraint condition equation.

[0160] It can be seen that the exemplary embodiment of the present disclosure can mathematically model and solve the physical model of the injected water formation contamination in the target oil reservoir water injection well, and use the bottom hole pressure measurement data of the target oil reservoir water injection well at different production times as a reference to evaluate the solution results under different candidate contamination radii of the injected water formation contamination zone, thereby accurately screening out the target contamination radius of the injected water formation contamination zone, and obtaining the target permeability of the injected water formation contamination zone on this basis. Therefore, the method of the exemplary embodiment of the present disclosure can accurately predict the degree of damage to the formation caused by the water quality of the injected water in the oil field based on the target contamination radius and the target permeability of the injected water formation contamination zone, and provide theoretical guidance for the prediction of the contaminated area range and permeability in the process of water injection development of oil reservoirs.

[0161] The above mainly introduces the solution provided by the embodiment of the present disclosure from the perspective of the method. It can be understood that in order to realize the above functions, the electronic device includes a hardware structure and / or software module corresponding to the execution of each function. It should be easily appreciated by those skilled in the art that, in combination with the units and algorithm steps of each example described in the embodiments disclosed herein, the present disclosure can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present disclosure.

[0162] The disclosed embodiment can divide the electronic device into functional units according to the above method example. For example, each functional module can be divided according to each function, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware or in the form of software functional modules. It should be noted that the division of modules in the disclosed embodiment is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0163] In the case of dividing each functional module according to each function, the exemplary embodiment of the present disclosure provides a device for predicting damage parameters of oilfield injected water to the formation, wherein the damage parameters include a target contamination radius of the injected water formation contamination zone and a target permeability of the injected water formation contamination zone. The device for predicting damage parameters of oilfield injected water to the formation of the exemplary embodiment of the present disclosure may be an electronic device or a chip applied to an electronic device. Figure 7 FIG. 1 is a schematic block diagram showing the functional modules of a device for predicting parameters of damage to formations caused by injection of water into an oil field according to an exemplary embodiment of the present disclosure. Figure 7 As shown, the device 700 for predicting the damage parameters of the oil field injected water to the formation includes:

[0164] Modeling module 701, for determining the contamination radius control equation and constraint condition equation of the injected water formation expressed by the seepage partial differential control equation based on the physical model of the injected water formation contamination in the target oil reservoir water injection well;

[0165] A solution module 702 determines a prediction relationship between the bottom hole pressure of the water injection well in the target reservoir and the production time under different candidate contamination radii of the contamination zone of the water injection formation based on the contamination radius control equation of the water injection formation and the constraint condition equation;

[0166] The prediction module 703 is used to determine the target contamination radius of the water injection formation contamination zone based on the prediction relationship between the bottom hole pressure of the target oil reservoir water injection well at different candidate contamination radii of the water injection formation contamination zone and the production time, and the bottom hole pressure measurement data of the target oil reservoir water injection well at different production times, and determine the target permeability of the water injection formation contamination zone based on the prediction relationship between the bottom hole pressure of the target oil reservoir water injection well at the target contamination radius of the water injection formation contamination zone and the production time, the contamination radius control equation and the constraint condition equation.

[0167] In a possible implementation, the physical model of water-injected formation contamination in the target oil reservoir water injection well satisfies: the reservoir constraints of the target oil reservoir, the wellbore constraints of the target oil reservoir water injection well, the water injection constraints of the target oil reservoir water injection well, and the reservoir fluid flow conditions of the target oil reservoir.

[0168] In a possible implementation, the reservoir constraints of the target oil reservoir include reservoir boundary constraints of the target oil reservoir, reservoir geological constraints of the target oil reservoir, reservoir temperature constraints of the target oil reservoir, and reservoir permeability constraints of the target oil reservoir determined by the skin effect;

[0169] The wellbore constraint condition of the target oil reservoir water injection well is determined by the wellbore energy storage effect of the target oil reservoir water injection well;

[0170] The water injection constraint conditions of the target oil reservoir water injection well include water injection flow constraint conditions and water injection phase constraint conditions of the target oil reservoir water injection well.

[0171] In a possible implementation, the pollution radius control equation of the water-injected formation includes: a partial differential control equation for seepage in a polluted area of ​​the water-injected formation and a partial differential control equation for seepage in a non-polluted area of ​​the water-injected formation;

[0172] The constraint condition equations include: boundary condition equations for the contaminated zone of the water-injected formation, boundary condition equations for the non-contaminated zone of the water-injected formation, and continuous boundary condition equations for the contaminated zone and non-contaminated zone of the water-injected formation.

[0173] In one possible implementation, the solution module 702 is used to determine the prediction relationship between the bottom hole pressure of the target oil reservoir water injection well, the pollution radius of the injection water formation pollution zone and the production time based on the pollution radius control equation of the injection water formation pollution zone and the constraint condition equation; and use multiple candidate pollution radii of the injection water formation pollution zone to respectively configure the prediction relationship between the bottom hole pressure of the target oil reservoir water injection well, the pollution radius of the injection water formation pollution zone and the production time, and obtain a dimensionless prediction relationship between the bottom hole pressure of the target oil reservoir water injection well and the production time under multiple candidate pollution radii of the injection water formation pollution zone.

[0174] In a possible implementation, the prediction relationship between the bottom hole pressure of the target oil reservoir water injection well, the pollution radius of the injection water formation pollution zone and the production time includes: a real-domain prediction relationship between the bottom hole pressure of the target oil reservoir water injection well and the production time at different pollution radii of the injection water formation pollution zone, the solution module 702 is used to non-dimensionalize the pollution radius control equation of the injection water formation and the constraint condition equation to obtain the dimensionless pollution radius control equation and the dimensionless constraint condition equation of the injection water formation; based on the dimensionless pollution radius control equation and the dimensionless constraint condition equation of the injection water formation, determine the dimensionless prediction relationship between the bottom hole pressure of the target oil reservoir water injection well and the production time at different pollution radii of the injection water formation pollution zone; based on the dimensionless prediction relationship between the bottom hole pressure of the target oil reservoir water injection well and the production time at different pollution radii of the injection water formation pollution zone, determine the real-domain prediction relationship between the bottom hole pressure of the target oil reservoir water injection well and the production time at different pollution radii of the injection water formation pollution zone.

[0175] In one possible implementation, the prediction module 703 is used to determine the measurement relationship between the bottom hole pressure and the production time of the target oil reservoir water injection well based on the bottom hole pressure measurement data of the target oil reservoir water injection well at different production times; based on the prediction relationship between the bottom hole pressure and the production time of the target oil reservoir water injection well at each candidate pollution radius of the injection water formation contamination zone, and the measurement relationship between the bottom hole pressure and the production time of the target oil reservoir water injection well, determine the first matching degree between the prediction relationship and the measurement relationship corresponding to each candidate pollution radius of the target oil reservoir water injection well; if the first matching degree between the prediction relationship and the actual relationship corresponding to the candidate pollution radius of the target oil reservoir water injection well is greater than or equal to the first preset matching degree, based on the candidate pollution radius of the injection water formation contamination zone, determine the target contamination radius of the injection water formation contamination zone.

[0176] In a possible implementation, the prediction module 703 is used to determine the measurement relationship between the change in bottom hole pressure of the target oil reservoir water injection well and the production time based on the bottom hole pressure measurement data of the target oil reservoir water injection well at different production times; determine the prediction relationship between the change in bottom hole pressure of the target oil reservoir water injection well and the production time at each candidate contamination radius of the injection water formation contamination zone based on the prediction relationship between the bottom hole pressure of the target oil reservoir water injection well and the production time at each candidate contamination radius of the injection water formation contamination zone; determine the prediction relationship between the change in bottom hole pressure of the target oil reservoir water injection well and the production time at each candidate contamination radius of the injection water formation contamination zone based on the bottom hole pressure of the target oil reservoir water injection well The second matching degree between the prediction relationship and the measurement relationship corresponding to each candidate pollution radius of the target oil reservoir water injection well is determined based on the prediction relationship between the change amount and the production time at each candidate pollution radius of the injection water formation pollution zone, and the measurement relationship between the change amount of the bottom hole pressure of the target oil reservoir water injection well and the production time; if the second matching degree between the prediction relationship and the measurement relationship corresponding to the candidate pollution radius of the target oil reservoir water injection well is greater than or equal to the second preset matching degree, the candidate pollution radius of the target oil reservoir water injection well is determined to be the target pollution radius of the injection water formation pollution zone.

[0177] Figure 8 Schematic block diagram of a chip according to an exemplary embodiment of the present disclosure is shown. Figure 8 As shown, the chip 800 includes one or more (including two) processors 801 and a communication interface 802. The communication interface 802 can support the electronic device to perform the data receiving and sending steps in the above method, and the processor 801 can support the electronic device to perform the data processing steps in the above method.

[0178] Optional, such as Figure 8 As shown, the chip 800 also includes a memory 803, which may include a read-only memory and a random access memory, and provides operation instructions and data to the processor. A portion of the memory may also include a non-volatile random access memory (NVRAM).

[0179] In some embodiments, Figure 8As shown, the processor 801 performs corresponding operations by calling the operation instructions stored in the memory (the operation instructions may be stored in the operating system). The processor 801 controls the processing operations of any one of the terminal devices, and the processor may also be called a central processing unit (CPU). The memory 803 may include a read-only memory and a random access memory, and provides instructions and data to the processor 801. A portion of the memory 803 may also include NVRAM. For example, in an application, the memory, the communication interface, and the memory are coupled together through a bus system, wherein the bus system may include a power bus, a control bus, and a status signal bus in addition to a data bus. However, for the sake of clarity, in Figure 8 Various buses are labeled as bus system 804 .

[0180] The method disclosed in the above-mentioned embodiment of the present disclosure can be applied to a processor or implemented by a processor. The processor may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in the processor or an instruction in the form of software. The above-mentioned processor may be a general-purpose processor, a digital signal processor (digital signal processing, DSP), an ASIC, a field-programmable gate array (field-programmable gate array, FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present disclosure can be implemented or executed. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in conjunction with the embodiment of the present disclosure can be directly embodied as being executed by a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software module may be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in a memory, and the processor reads the information in the memory and completes the steps of the above method in conjunction with its hardware.

[0181] The exemplary embodiment of the present disclosure also provides an electronic device, comprising: at least one processor; and a memory connected to the at least one processor in communication. The memory stores a computer program that can be executed by the at least one processor, and the computer program is used to cause the electronic device to perform the method according to the embodiment of the present disclosure when executed by the at least one processor.

[0182] The exemplary embodiments of the present disclosure also provide a non-transitory computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor of a computer, is used to cause the computer to perform the method according to the embodiments of the present disclosure.

[0183] The exemplary embodiments of the present disclosure further provide a computer program product, including a computer program, wherein when the computer program is executed by a processor of a computer, the computer is used to enable the computer to perform the method according to the embodiments of the present disclosure.

[0184] refer to Fig. 9 , a block diagram of an electronic device 900 that can be used as a server or client of the present disclosure will now be described, which is an example of a hardware device that can be applied to various aspects of the present disclosure. The electronic device is intended to represent various forms of digital electronic computer devices, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0185] like Fig. 9 As shown, the electronic device 900 includes a computing unit 901, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 902 or a computer program loaded from a storage unit 908 into a random access memory (RAM) 903. In the RAM 903, various programs and data required for the operation of the device 900 can also be stored. The computing unit 901, the ROM 902, and the RAM 903 are connected to each other via a bus 904. An input / output (I / O) interface 905 is also connected to the bus 904.

[0186] like Fig. 9As shown, multiple components in the electronic device 900 are connected to the I / O interface 905, including: an input unit 906, an output unit 907, a storage unit 908, and a communication unit 909. The input unit 906 can be any type of device that can input information to the electronic device 900, and the input unit 906 can receive input digital or character information, and generate key signal input related to the user settings and / or function control of the electronic device. The output unit 907 can be any type of device that can present information, and can include but is not limited to a display, a speaker, a video / audio output terminal, a vibrator, and / or a printer. The storage unit 908 can include but is not limited to a disk, an optical disk. The communication unit 909 allows the electronic device 900 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks, and can include but is not limited to a modem, a network card, an infrared communication device, a wireless communication transceiver, and / or a chipset, such as a Bluetooth TM device, a WiFi device, a WiMax device, a cellular communication device, and / or the like.

[0187] like Fig. 9 As shown, the computing unit 901 can be various general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 901 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 901 performs the various methods and processes described above. For example, in some embodiments, the method described in the exemplary embodiments of the present disclosure may be implemented as a computer software program, which is tangibly included in a machine-readable medium, such as a storage unit 908. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 900 via ROM 902 and / or communication unit 909. In some embodiments, the computing unit 901 can be configured to perform the method described in the exemplary embodiments of the present disclosure in any other appropriate manner (e.g., by means of firmware).

[0188] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0189] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0190] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types 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).

[0191] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0192] A computer system may include clients and servers. Clients and servers are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship to each other.

[0193] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented by software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer programs or instructions. When the computer program or instruction is loaded and executed on a computer, the process or function described in the embodiment of the present disclosure is executed in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, a terminal, a user device or other programmable device. The computer program or instruction may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer program or instruction may be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless means. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server, data center, etc. that integrates one or more available media. The available medium may be a magnetic medium, for example, a floppy disk, a hard disk, a tape; it may also be an optical medium, for example, a digital video disc (DVD); it may also be a semiconductor medium, for example, a solid state drive (SSD).

[0194] Although the present disclosure has been described in conjunction with specific features and embodiments thereof, it is apparent that various modifications and combinations may be made thereto without departing from the spirit and scope of the present disclosure. Accordingly, this specification and the drawings are merely exemplary illustrations of the present disclosure as defined by the appended claims, and are deemed to have covered any and all modifications, variations, combinations or equivalents within the scope of the present disclosure. Obviously, those skilled in the art may make various modifications and variations to the present disclosure without departing from the spirit and scope of the present disclosure. Thus, if these modifications and variations of the present disclosure fall within the scope of the claims of the present disclosure and their equivalents, the present disclosure is also intended to include these modifications and variations.

Claims

1. A method for predicting the damage parameters of water injected into an oil field to a formation, characterized in that: The damage parameters include a target contamination radius of the water-injected formation contamination zone and a target permeability of the water-injected formation contamination zone. The method includes: Based on the physical model of water-injected formation contamination in the target reservoir water injection well, determine the contamination radius control equation and constraint equation of the water-injected formation expressed by the partial differential control equation of seepage; Based on the pollution radius control equation of the water injection formation and the constraint condition equation, determine the prediction relationship between the bottom hole pressure of the water injection well in the target oil reservoir and the production time under different candidate pollution radii of the water injection formation pollution zone; Determine the target contamination radius of the water injection formation contamination zone based on the predicted relationship between the bottom hole pressure of the target oil reservoir water injection well at different candidate contamination radii of the water injection formation contamination zone and the production time, and the bottom hole pressure measurement data of the target oil reservoir water injection well at different production times; The target permeability of the water injection formation contamination zone is determined based on the predicted relationship between the bottom hole pressure of the target oil reservoir water injection well at the target contamination radius of the water injection formation contamination zone and the production time, the contamination radius control equation and the constraint condition equation.

2. The method according to claim 1, characterized in that: The physical model of formation contamination by water injection in the target oil reservoir water injection well satisfies: reservoir constraints of the target oil reservoir, wellbore constraints of the target oil reservoir water injection well, water injection constraints of the target oil reservoir water injection well, and reservoir fluid flow conditions of the target oil reservoir.

3. The method according to claim 2, characterized in that The reservoir constraints of the target oil reservoir include reservoir boundary constraints of the target oil reservoir, reservoir geological constraints of the target oil reservoir, reservoir temperature constraints of the target oil reservoir, and reservoir permeability constraints of the target oil reservoir determined by the skin effect; The wellbore constraint condition of the target oil reservoir water injection well is determined by the wellbore energy storage effect of the target oil reservoir water injection well; The water injection constraint conditions of the target oil reservoir water injection well include water injection flow constraint conditions and water injection phase constraint conditions of the target oil reservoir water injection well.

4. The method according to claim 1, characterized in that The pollution radius control equation of the water-injected formation includes: a partial differential control equation for seepage in the polluted area of ​​the water-injected formation and a partial differential control equation for seepage in the non-polluted area of ​​the water-injected formation; The constraint condition equations include: boundary condition equations for the contaminated zone of the water-injected formation, boundary condition equations for the non-contaminated zone of the water-injected formation, and continuous boundary condition equations for the contaminated zone and non-contaminated zone of the water-injected formation.

5. The method according to claim 1, characterized in that The prediction relationship between the bottom hole pressure of the target reservoir water injection well and the production time under different candidate contamination radii of the contamination zone of the water injection formation is determined based on the contamination radius control equation of the water injection formation and the constraint condition equation, including: Based on the pollution radius control equation of the water injection formation pollution zone and the constraint condition equation, determine the prediction relationship between the bottom hole pressure of the water injection well in the target oil reservoir, the pollution radius of the water injection formation pollution zone and the production time; The prediction relationship between the bottom hole pressure of the target oil reservoir water injection well, the pollution radius of the injection water formation pollution zone and the production time is configured respectively by using multiple candidate pollution radii of the injection water formation pollution zone, so as to obtain a dimensionless prediction relationship between the bottom hole pressure of the target oil reservoir water injection well and the production time under the multiple candidate pollution radii of the injection water formation pollution zone.

6. The method according to claim 5, characterized in that The prediction relationship between the bottom hole pressure of the target oil reservoir water injection well, the pollution radius of the injection water formation pollution zone and the production time includes: the real domain prediction relationship between the bottom hole pressure of the target oil reservoir water injection well under different pollution radii of the injection water formation pollution zone and the production time, the prediction relationship between the bottom hole pressure of the target oil reservoir water injection well, the pollution radius of the injection water formation pollution zone and the production time is determined based on the pollution radius control equation of the injection water formation pollution zone and the constraint condition equation, including: Non-dimensionalizing the pollution radius control equation and the constraint condition equation of the water-injected formation to obtain a dimensionless pollution radius control equation and a dimensionless constraint condition equation of the water-injected formation; Based on the dimensionless contamination radius control equation and the dimensionless constraint condition equation of the water injection formation, determine the dimensionless prediction relationship between the bottom hole pressure of the water injection well in the target oil reservoir and the production time under different contamination radii of the water injection formation contamination zone; Based on the dimensionless prediction relationship between the bottom hole pressure of the target oil reservoir injection well and the production time at different pollution radii of the injected water formation contamination zone, the real domain prediction relationship between the bottom hole pressure of the target oil reservoir injection well and the production time at different pollution radii of the injected water formation contamination zone is determined.

7. The method according to any one of claims 1 to 6, characterized in that: The method of determining a target contamination radius of the water injection formation contamination zone based on a prediction relationship between the bottom hole pressure of the target oil reservoir water injection well at different candidate contamination radii of the water injection formation contamination zone and the production time, and bottom hole pressure measurement data of the target oil reservoir water injection well at different production times, comprises: Based on the bottom hole pressure measurement data of the target oil reservoir water injection well at different production times, determine the measurement relationship between the bottom hole pressure and the production time of the target oil reservoir water injection well; Based on the predicted relationship between the bottom hole pressure of the target oil reservoir water injection well at each candidate contamination radius of the injected water formation contamination zone and the production time, and the measured relationship between the bottom hole pressure of the target oil reservoir water injection well and the production time, determine a first matching degree between the predicted relationship and the measured relationship corresponding to each candidate contamination radius of the target oil reservoir water injection well; If the first matching degree between the predicted relationship and the actual relationship corresponding to the candidate contamination radius of the target oil reservoir injection well is greater than or equal to the first preset matching degree, the target contamination radius of the injection water formation contamination zone is determined based on the candidate contamination radius of the injection water formation contamination zone.

8. The method according to claim 7, characterized in that The determining of the target pollution radius of the water injection formation pollution zone based on the candidate pollution radius of the water injection formation pollution zone comprises: Based on the bottom hole pressure measurement data of the target oil reservoir water injection well at different production times, determine the measurement relationship between the bottom hole pressure change and the production time of the target oil reservoir water injection well; Determine a prediction relationship between the bottom hole pressure change of the target oil reservoir water injection well and the production time at each candidate contamination radius of the water injection formation contamination zone based on the prediction relationship between the bottom hole pressure of the target oil reservoir water injection well and the production time at each candidate contamination radius of the water injection formation contamination zone; Based on the predicted relationship between the bottom hole pressure change of the target oil reservoir water injection well at each candidate contamination radius of the injected water formation contamination zone and the production time, and the measured relationship between the bottom hole pressure change of the target oil reservoir water injection well and the production time, determine a second matching degree between the predicted relationship and the measured relationship corresponding to each candidate contamination radius of the target oil reservoir water injection well; If the second matching degree between the prediction relationship and the measurement relationship corresponding to the candidate contamination radius of the target oil reservoir water injection well is greater than or equal to the second preset matching degree, the candidate contamination radius of the target oil reservoir water injection well is determined to be the target contamination radius of the injected water formation contamination zone.

9. A device for predicting parameters of damage to formations caused by water injection into an oil field, characterized in that: The damage parameters include a target contamination radius of the water-injected formation contamination zone and a target permeability of the water-injected formation contamination zone. The device includes: A modeling module is used to determine the pollution radius control equation and constraint condition equation of the injected water formation expressed by the seepage partial differential control equation based on the physical model of the injected water formation pollution in the target oil reservoir injection well; A solution module, based on the pollution radius control equation of the water injection formation and the constraint condition equation, determines a prediction relationship between the bottom hole pressure of the water injection well of the target reservoir and the production time under different candidate pollution radii of the water injection formation pollution zone; A prediction module is used to determine a target contamination radius of the water injection formation contamination zone based on a prediction relationship between the bottom hole pressure of the target oil reservoir water injection well at different candidate contamination radii of the water injection formation contamination zone and the production time, and bottom hole pressure measurement data of the target oil reservoir water injection well at different production times, and to determine a target permeability of the water injection formation contamination zone based on a prediction relationship between the bottom hole pressure of the target oil reservoir water injection well at the target contamination radius of the water injection formation contamination zone and the production time, a contamination radius control equation and a constraint condition equation.

10. An electronic device, characterized in that: include: processor; as well as, A memory for storing programs; The program includes instructions, which, when executed by the processor, cause the processor to perform the method according to any one of claims 1 to 8.

11. A non-transitory computer-readable storage medium, characterized in that The non-transitory computer-readable storage medium is used to store computer instructions, and the computer instructions are used to enable the computer to execute the method according to any one of claims 1 to 8.

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