Viscosity change analysis method, system, equipment and medium for crude oil under different temperature and pressure conditions

Abstract

The invention belongs to the technical field of oil-gas exploration and development, and discloses a viscosity change analysis method, system, equipment and medium for crude oil under different temperature and pressure conditions, and the method comprises the following steps: constructing a crude oil system model based on molecular dynamics simulation software; acquiring temperature data and pressure data of the reservoir to be analyzed; inputting the temperature data and the pressure data into the crude oil system model for balance simulation to obtain a balance simulation result; calculating stress tensor data of the crude oil system based on the balance simulation result; and calculating the viscosity values of the crude oil under different temperature and pressure conditions based on the stress tensor data. According to the technical scheme, the viscosity of the crude oil under different temperature and pressure conditions can be accurately calculated, and theoretical guidance is provided for efficient development of oil reservoirs.

Description

Technical Field

[0001] The present invention belongs to the technical field of oil and gas exploration and development, and in particular relates to a method, system, equipment and medium for analyzing the viscosity change of crude oil under different temperature and pressure conditions. Background Art

[0002] In the process of oil and gas exploration and development, viscosity, as an important parameter to measure the fluidity of crude oil, directly affects the migration efficiency and extraction cost of crude oil in the reservoir. Crude oil with high viscosity encounters greater resistance during flow and has lower displacement efficiency. Crude oil with low viscosity is easier to flow, which can effectively increase the extraction speed and reduce production costs. However, the viscosity of crude oil is not fixed, and viscosity is affected by many factors. Among them, the influence of temperature and pressure on the viscosity of crude oil is particularly significant. With the increase of formation depth, temperature and pressure also increase, and the viscosity of crude oil will also change significantly, which in turn affects the recovery rate of crude oil. Therefore, accurately predicting the viscosity of crude oil under different temperature and pressure conditions is of great significance for the rational formulation of reservoir exploration and development plans and improving crude oil recovery. Summary of the invention

[0003] The purpose of the present invention is to provide a method, system, equipment and medium for analyzing the viscosity change of crude oil under different temperature and pressure conditions to solve the problems existing in the above-mentioned prior art.

[0004] To achieve the above object, the present invention provides a method for analyzing the viscosity change of crude oil under different temperature and pressure conditions, comprising:

[0005] Construct a crude oil system model based on molecular dynamics simulation software;

[0006] Obtain temperature data and pressure data of the reservoir to be analyzed;

[0007] Inputting the temperature data and the pressure data into the crude oil system model to perform equilibrium simulation and obtain equilibrium simulation results;

[0008] Calculating stress tensor data of the crude oil system based on the equilibrium simulation results;

[0009] The viscosity values ​​of crude oil under different temperature and pressure conditions are calculated based on the stress tensor data.

[0010] Optionally, the crude oil system model is constructed based on molecular dynamics simulation software, and the specific calculation formula is:

[0011] V=x×y×z

[0012] m=ρV

[0013]

[0014] Where V is the volume of the model; x, y, and z are the dimensions of the model along the x, y, and z directions, respectively; m is the atomic mass in the model; N is the number of molecules required in the model; N A Avogadro's constant is 6.02×10 23 ; M is the molar mass of the molecular chain.

[0015] Optionally, the performing equilibrium simulation specifically includes:

[0016] The long-range electrostatic interaction is described based on the Coulomb potential function, and the non-bonded interaction is described based on the Lennard-Jones potential function.

[0017] Optionally, the calculating of stress tensor data of the crude oil system based on the equilibrium simulation result specifically includes:

[0018] Based on the equilibrium simulation results, the stress tensor data inside the crude oil system is calculated in combination with the Virial equation.

[0019] Optionally, the calculating of the crude oil viscosity value under different temperature and pressure conditions based on the stress tensor data specifically includes:

[0020] The autocorrelation function of the non-diagonal component corresponding to the stress tensor data is calculated based on the Green-Kubo method, and the autocorrelation function is integrated to obtain the crude oil viscosity value.

[0021] A crude oil viscosity change analysis system under different temperature and pressure conditions, comprising:

[0022] A model building module is used to build a crude oil system model based on molecular dynamics simulation software;

[0023] An initial condition acquisition module is used to obtain temperature data and pressure data of the reservoir to be analyzed;

[0024] an equilibrium molecular dynamics simulation module, for inputting the temperature data and the pressure data into the crude oil system model to perform equilibrium simulation and obtain equilibrium simulation results; and calculating stress tensor data of the crude oil system based on the equilibrium simulation results;

[0025] The viscosity calculation module is used to calculate the viscosity value of crude oil under different temperature and pressure conditions according to the stress tensor data.

[0026] An electronic device comprises a memory and a processor, wherein the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to execute a method for analyzing the viscosity change of crude oil under different temperature and pressure conditions.

[0027] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements a method for analyzing the viscosity change of crude oil under different temperature and pressure conditions.

[0028] The technical effects of the present invention are:

[0029] The present invention utilizes the molecular dynamics simulation method to construct a crude oil system to simulate the equilibrium molecular dynamics simulation process of crude oil under the temperature and pressure conditions of the reservoir. Based on the Virial equation and the Green-Kubo formula, the viscosity of crude oil under different temperature and pressure conditions is calculated by the geometric average of the autocorrelations of the non-diagonal components of the pressure tensor, providing theoretical guidance for the efficient development of the reservoir. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0031] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0032] Figure 1 is an implementation flow chart of an embodiment of the present invention;

[0033] Figure 2 The crude oil C8H in the embodiment of the present invention 18 Single chain model diagram;

[0034] Figure 3 The crude oil C8H in the embodiment of the present invention 18 Component model diagram of

[0035] Figure 4 The crude oil C8H in the embodiment of the present invention 18 Viscosity change curve at 353K and different pressure conditions;

[0036] Figure 5 is the crude oil C in the embodiment of the present invention 12 H 26 Single chain model diagram;

[0037] Figure 6 is the crude oil C in the embodiment of the present invention 12 H 26 Component model diagram of

[0038] Figure 7is the crude oil C in the embodiment of the present invention 12 H 26 Viscosity change curve at 20MPa and different temperatures. DETAILED DESCRIPTION

[0039] Various exemplary embodiments of the present invention will now be described in detail. This detailed description should not be considered as limiting the present invention, but should be understood as a more detailed description of certain aspects, features, and embodiments of the present invention.

[0040] It should be understood that the terms described in the present invention are only for describing special embodiments and are not intended to limit the present invention. In addition, for the numerical range in the present invention, it should be understood that each intermediate value between the upper and lower limits of the scope is also specifically disclosed. Each smaller range between the intermediate value in any stated value or stated range and any other stated value or intermediate value in the described range is also included in the present invention. The upper and lower limits of these smaller ranges can be independently included or excluded in the scope.

[0041] It will be apparent to those skilled in the art that various modifications and variations may be made to the specific embodiments of the present invention description without departing from the scope or spirit of the present invention. Other embodiments derived from the present invention description will be apparent to those skilled in the art. The present application description and examples are exemplary only.

[0042] The words “include,” “including,” “have,” “contain,” etc. used in this article are open-ended terms, meaning including but not limited to.

[0043] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0044] Embodiment 1

[0045] like Figure 1 - Figure 7 As shown, this embodiment provides a method for analyzing the viscosity change of crude oil under different temperature and pressure conditions, including: constructing a crude oil system model based on molecular dynamics simulation software; obtaining temperature data and pressure data of the reservoir to be analyzed; inputting the temperature data and the pressure data into the crude oil system model to perform equilibrium simulation to obtain equilibrium simulation results; calculating stress tensor data of the crude oil system based on the equilibrium simulation results; and calculating the viscosity values ​​of the crude oil under different temperature and pressure conditions based on the stress tensor data.

[0046] This embodiment discloses a molecular dynamics simulation method for analyzing the influence of temperature and pressure conditions on crude oil viscosity. A crude oil system model is constructed based on molecular dynamics simulation software, and the temperature and pressure of the actual reservoir are substituted into the molecular dynamics simulation software as initial conditions. A balanced molecular dynamics simulation process is carried out on the crude oil components, and the changes in the internal stress tensor of the crude oil system are recorded. The viscosity values ​​of crude oil under different temperature and pressure conditions are calculated by combining the Virial equation and the Green-Kubo method. This embodiment can quickly and accurately measure the viscosity values ​​of crude oil under different temperature and pressure conditions, clarify the influence of temperature and pressure conditions on crude oil viscosity, provide important parameters for evaluating the flowability of crude oil, and have certain guiding significance for the efficient development of oil reservoirs.

[0047] The specific implementation steps of this embodiment include:

[0048] Step 1: Construct a crude oil system model using molecular dynamics simulation software: First, determine the three-dimensional size of the crude oil system; second, determine the molecular chemical formula, molecular structure and standard density value of the crude oil components; finally, calculate the number of molecules contained in the crude oil system using the following formula:

[0049] V=x×y×z

[0050] m=ρV

[0051]

[0052] Where V is the volume of the model; x, y, and z are the dimensions of the model along the x, y, and z directions, respectively; m is the atomic mass in the model; N is the number of molecules required in the model; N A Avogadro's constant is 6.02×10 23 ; M is the molar mass of the molecular chain.

[0053] Step 2: Obtain the temperature and pressure data of the actual reservoir as initial conditions and substitute them into the molecular dynamics simulation software to carry out the equilibrium molecular dynamics simulation process.

[0054] Step 3: During the equilibrium molecular dynamics simulation, the Coulomb potential is used to describe the long-range electrostatic interaction, and the cutoff radius is set to The non-bonded interactions are described by the Lennard-Jones (LJ) potential:

[0055]

[0056] In the formula, q m ,q n is the charge of atoms m, n; ε0 is the dielectric constant of vacuum; r mn is the distance between atoms m and n; σ m is the LJ potential energy function of atom m; σ nis the LJ potential energy function of atom n; σ mn is the zero potential distance.

[0057] Step 4: Calculate the stress tensor inside the crude oil system by balancing the molecular dynamics simulation results and combining the Virial equation; and further substitute it into the Green-Kubo equation to solve the crude oil viscosity value under different temperature and pressure conditions;

[0058] Step 5: The stress tensor is a second-order tensor that is a mathematical representation of the stress state. By calculating the autocorrelation function of the non-diagonal components of the stress tensor and integrating it, the viscosity of the fluid can be calculated; the Virial equation is as follows:

[0059]

[0060] In the formula, r iα and v iα represent the coordinates and velocity α component of the i-th particle, respectively, and f iα is the α component of the force acting on the ith particle, and N is the number of particles.

[0061] Step 6: Based on the stress tensor result, the Green-Kubo method is used to calculate the viscosity of crude oil under different temperature and pressure conditions. The Green-Kubo method uses the time autocorrelation function to calculate the fluid viscosity during the simulation process. It can be calculated by the geometric mean of the autocorrelation of the non-diagonal components of the pressure tensor. The Green-Kubo formula is as follows:

[0062]

[0063] In the formula, η, V, k B and T represent viscosity, model volume, Boltzmann constant and temperature respectively, P αβ are the off-diagonal components of the pressure tensor, P xy is the xy component of the pressure tensor, P yz is the yz component of the pressure tensor, P zx is the zx component of the pressure tensor, t is time, v iβ is the α component of the velocity acting on the ith particle.

[0064] Specific example of measuring crude oil viscosity at 353K and different pressure conditions:

[0065] S1, this embodiment uses C8H 18 As a crude oil component, C8H 18 The molecular single chain model of

[0066] S2. Measure the crude oil viscosity values ​​under the conditions of reservoir temperature of 353K and pressure of 5MPa, 10MPa, 15MPa, 20MPa and 25MPa respectively. By querying NIST, we know that the viscosity of C8H under the conditions of 5MPa, 10MPa, 15MPa, 20MPa and 25MPa is 18 The standard density is 0.659g / cm 3 、0.665g / cm 3 、0.670g / cm 3 , 0.675g / cm 3 , 0.680g / cm 3 ;

[0067] S3. Establish the required target model size of 5nm×5nm×5nm; calculate the model volume by the following formula;

[0068] V=x×y×z

[0069] Where V is the volume of the model; x, y, and z are the dimensions of the model along the x, y, and z directions, respectively.

[0070] V = x × y × z = 5 × 5 × 5 = 125 nm 3 =1.25×10 -19 m 3

[0071] From the above formula, we can know that the target model volume is 1.25×10 -19 m 3 ;

[0072] S4. Calculate the number of crude oil molecules inside the model by using the standard density value under known temperature and pressure conditions and the volume of the built model:

[0073] m=ρV

[0074]

[0075] Where m is the atomic mass in the model; N is the number of molecules required in the model; N A Avogadro's constant is 6.02×10 23 ; M is the molar mass of the molecular chain.

[0076] m 5MPa =ρ 5MPa V = 0.659 × 1.25 × 10 -19 =8.24×10 -20 g

[0077] m 10MPa =ρ 10MPa V = 0.665 × 1.25 × 10 -19=8.31×10 -20 g

[0078] m 15MPa =ρ 15MPa V = 0.67 × 1.25 × 10 -19 =8.38×10 -20 g

[0079] m 20MPa =ρ 20MPa V = 0.675 × 1.25 × 10 -19 =8.44×10 -20 g

[0080] m 25MPa =ρ 25MPa V = 0.68 × 1.25 × 10 -19 =8.5×10 -20 g

[0081]

[0082] Through the above calculation, it can be known that the C8H required for crude oil under 5MPa, 10MPa, 15MPa, 20MPa, and 25MPa conditions 18 The numbers are 435, 439, 442, 445, and 449 respectively;

[0083] S5. During the equilibrium molecular dynamics simulation, Coulomb potential was used to describe the long-range electrostatic interaction, and the cutoff radius was set to The non-bonded interactions are described by the Lennard-Jones (LJ) potential:

[0084]

[0085] In the formula, q m ,q n is the charge of atoms m, n; ε0 is the dielectric constant of vacuum; r mn is the distance between atoms m and n; σ m is the LJ potential energy function of atom m; σ n is the LJ potential energy function of atom n; σ mn is the zero potential distance.

[0086] S6. The stress tensor inside the crude oil components of different systems is calculated by balancing the molecular dynamics simulation results and combining the Virial equation. The Virial equation is as follows:

[0087]

[0088] In the formula, r iα and v iαrepresent the coordinates and velocity α component of the i-th particle, respectively, and f iα is the α component of the force acting on the ith particle, and N is the number of particles.

[0089] S7. The stress tensor is a second-order tensor that is a mathematical representation of the stress state. By calculating the autocorrelation function of the non-diagonal components of the stress tensor and integrating it, the viscosity of the fluid can be calculated.

[0090] S8. Based on the stress tensor results, the Green-Kubo formula is used to calculate the crude oil viscosity under different system conditions. S12. The Green-Kubo method uses the time autocorrelation function to calculate the properties of the fluid during transmission, and the shear viscosity can be calculated by the geometric average of the autocorrelation of the non-diagonal components of the pressure tensor. The Green-Kubo formula is as follows:

[0091]

[0092] In the formula, η, V, k B and T represent viscosity, model volume, Boltzmann constant and temperature respectively, P αβ are the off-diagonal components of the pressure tensor.

[0093] S9. The final stable configuration is obtained through molecular dynamics simulation method, and the non-diagonal component data of the pressure tensor of the model system in each direction in the equilibrium stage are output and substituted into the Green-Kubo formula to obtain the crude oil viscosity at a temperature of 353K and pressures of 5MPa, 10MPa, 15MPa, 20MPa, and 25MPa, which are 0.318MPa·s, 0.341MPa·s, 0.355MPa·s, 0.371MPa·s, and 0.385MPa·s, respectively.

[0094] Embodiment 2

[0095] This embodiment provides a molecular dynamics simulation method for analyzing the influence of temperature and pressure conditions on crude oil viscosity, specifically measuring the crude oil viscosity value under 20 MPa and different temperature conditions.

[0096] S1, in this embodiment, C 12 H 26 As a crude oil component, C 12 H 26 Single-chain molecular model of

[0097] S2, measure the reservoir pressure of 20MPa, and the crude oil viscosity under the simulated temperature of 333K, 353K, 373K, 393K, and 413K respectively. By querying NIST, it is known that the C 12 H 26 The standard density is 0.735g / cm 3 , 0.723g / cm 3 、0.710g / cm 3 , 0.697g / cm 3 、0.684g / cm 3 ;

[0098] S3. Establish the required target model size of 5nm×5nm×5nm; calculate the model volume by the following formula;

[0099] V=x×y×z

[0100] Where V is the volume of the model; x, y, and z are the dimensions of the model along the x, y, and z directions, respectively.

[0101] V = x × y × z = 5 × 5 × 5 = 125 nm 3 =1.25×10 -19 m 3

[0102] From the above formula, we can know that the target model volume is 1.25×10 -19 m 3 ;

[0103] S4. Calculate the number of crude oil molecules inside the model by using the standard density value under known temperature and pressure conditions and the volume of the built model:

[0104] m=ρV

[0105]

[0106] Where m is the atomic mass in the model; N is the number of molecules required in the model; N A Avogadro's constant is 6.02×10 23 ; M is the molar mass of the molecular chain.

[0107] m 333K =ρ 333K V = 0.735 × 1.25 × 10 -19 =1.27×10 -19 g

[0108] m 353K =ρ 353K V = 0.723 × 1.25 × 10-19 =1.25×10 -19 g

[0109] m 373K =ρ 373K V = 0.71 × 1.25 × 10 -19 =1.22×10 -19 g

[0110] m 393K =ρ 393K V = 0.697 × 1.25 × 10 -19 =1.20×10 -19 g

[0111] m 413K =ρ 413K V = 0.684 × 1.25 × 10 -19 =1.18×10 -19 g

[0112]

[0113] Through the above calculation, it can be known that the C8H required for crude oil under 333K, 353K, 373K, 393K, and 413K conditions 18 The numbers are 448, 441, 433, 425, and 417 respectively;

[0114] S5. During the equilibrium molecular dynamics simulation, Coulomb potential was used to describe the long-range electrostatic interaction, and the cutoff radius was set to The non-bonded interactions are described by the Lennard-Jones (LJ) potential:

[0115]

[0116]

[0117] In the formula, q m ,q n is the charge of atoms m, n; ε0 is the dielectric constant of vacuum; r mn is the distance between atoms m and n; σ m is the LJ potential energy function of atom m; σ n is the LJ potential energy function of atom n; σ mn is the zero potential distance.

[0118] S6. The stress tensor inside the crude oil components of different systems is calculated by balancing the molecular dynamics simulation results and combining the Virial equation. The Virial equation is as follows:

[0119]

[0120] In the formula, r iα and v iα represent the coordinates and velocity α component of the i-th particle, respectively, and f iα is the α component of the force acting on the ith particle, and N is the number of particles.

[0121] S7. The stress tensor is a second-order tensor that is a mathematical representation of the stress state. By calculating the autocorrelation function of the non-diagonal components of the stress tensor and integrating it, the viscosity of the fluid can be calculated.

[0122] S8. Based on the stress tensor results, the Green-Kubo formula is used to calculate the crude oil viscosity under different system conditions. S12. The Green-Kubo method uses the time autocorrelation function to calculate the properties of the fluid during transmission, and the shear viscosity can be calculated by the geometric average of the autocorrelation of the non-diagonal components of the pressure tensor. The Green-Kubo formula is as follows:

[0123]

[0124] In the formula, η, V, k B and T represent viscosity, model volume, Boltzmann constant and temperature respectively, P αβ are the off-diagonal components of the pressure tensor.

[0125] S9. The final stable configuration is obtained through molecular dynamics simulation method, and the non-diagonal component data of the pressure tensor of the model system in each direction in the equilibrium stage are output and substituted into the Green-Kubo formula to obtain the crude oil viscosity of 0.978 MPa·s, 0.768 MPa·s, 0.672 MPa·s, 0.515 MPa·s, and 0.435 MPa·s under the conditions of pressure of 20 MPa and temperature of 333K, 353K, 373K, 393K, and 413K, respectively.

[0126] This embodiment uses a molecular dynamics simulation method to construct a crude oil system to simulate the equilibrium molecular dynamics simulation process of crude oil under reservoir temperature and pressure conditions. Based on the Virial equation and the Green-Kubo formula, the viscosity of crude oil under different temperature and pressure conditions is calculated by taking the geometric average of the autocorrelations of the non-diagonal components of the pressure tensor, thereby providing theoretical guidance for the efficient development of the reservoir.

[0127] A crude oil viscosity change analysis system under different temperature and pressure conditions, comprising:

[0128] A model building module is used to build a crude oil system model based on molecular dynamics simulation software;

[0129] An initial condition acquisition module is used to obtain temperature data and pressure data of the reservoir to be analyzed;

[0130] an equilibrium molecular dynamics simulation module, for inputting the temperature data and the pressure data into the crude oil system model to perform equilibrium simulation and obtain equilibrium simulation results; and calculating stress tensor data of the crude oil system based on the equilibrium simulation results;

[0131] The viscosity calculation module is used to calculate the viscosity value of crude oil under different temperature and pressure conditions according to the stress tensor data.

[0132] An electronic device comprises a memory and a processor, wherein the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to execute a method for analyzing the viscosity change of crude oil under different temperature and pressure conditions.

[0133] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements a method for analyzing the viscosity change of crude oil under different temperature and pressure conditions.

[0134] The above is only a preferred specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for analyzing the viscosity change of crude oil under different temperature and pressure conditions, characterized in that: include: Construct a crude oil system model based on molecular dynamics simulation software; Obtain temperature data and pressure data of the reservoir to be analyzed; Inputting the temperature data and the pressure data into the crude oil system model to perform equilibrium simulation and obtain equilibrium simulation results; Calculating stress tensor data of the crude oil system based on the equilibrium simulation results; The viscosity values ​​of crude oil under different temperature and pressure conditions are calculated based on the stress tensor data.

2. The method for analyzing the viscosity change of crude oil under different temperature and pressure conditions according to claim 1, characterized in that: The crude oil system model is constructed based on molecular dynamics simulation software, and the specific calculation formula is: V=x×y×z m=ρV Where V is the volume of the model; x, y, and z are the dimensions of the model along the x, y, and z directions, respectively; m is the atomic mass in the model; N is the number of molecules required in the model; N A Avogadro's constant is 6.02×10 23 ; M is the molar mass of the molecular chain.

3. The method for analyzing the viscosity change of crude oil under different temperature and pressure conditions according to claim 1, characterized in that: The equilibrium simulation specifically includes: The long-range electrostatic interaction is described based on the Coulomb potential function, and the non-bonded interaction is described based on the Lennard-Jones potential function.

4. The method for analyzing the viscosity change of crude oil under different temperature and pressure conditions according to claim 1, characterized in that: The calculating of the stress tensor data of the crude oil system based on the equilibrium simulation results specifically includes: Based on the equilibrium simulation results, the stress tensor data inside the crude oil system is calculated in combination with the Virial equation.

5. The method for analyzing the viscosity change of crude oil under different temperature and pressure conditions according to claim 1, characterized in that: The calculating of the crude oil viscosity value under different temperature and pressure conditions based on the stress tensor data specifically includes: The autocorrelation function of the non-diagonal component corresponding to the stress tensor data is calculated based on the Green-Kubo method, and the autocorrelation function is integrated to obtain the crude oil viscosity value.

6. A system for analyzing the viscosity change of crude oil under different temperature and pressure conditions, characterized in that: include: A model building module is used to build a crude oil system model based on molecular dynamics simulation software; An initial condition acquisition module is used to obtain temperature data and pressure data of the reservoir to be analyzed; an equilibrium molecular dynamics simulation module, for inputting the temperature data and the pressure data into the crude oil system model to perform equilibrium simulation and obtain equilibrium simulation results; and calculating stress tensor data of the crude oil system based on the equilibrium simulation results; The viscosity calculation module is used to calculate the viscosity value of crude oil under different temperature and pressure conditions according to the stress tensor data.

7. An electronic device, characterized in that: It comprises a memory and a processor, wherein the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to perform a method for analyzing viscosity changes of crude oil under different temperature and pressure conditions according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that: The device stores a computer program, which, when executed by a processor, implements a method for analyzing the viscosity change of crude oil under different temperature and pressure conditions as described in any one of claims 1 to 5.

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