CN116341058A - Underwater wellhead fatigue life prediction method and device and electronic equipment - Google Patents

Underwater wellhead fatigue life prediction method and device and electronic equipment Download PDF

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CN116341058A
CN116341058A CN202310212939.3A CN202310212939A CN116341058A CN 116341058 A CN116341058 A CN 116341058A CN 202310212939 A CN202310212939 A CN 202310212939A CN 116341058 A CN116341058 A CN 116341058A
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underwater wellhead
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wellhead
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武胜男
李滨
张来斌
樊建春
郑文培
张乔
刘天浩
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China University of Petroleum Beijing
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Abstract

The application provides a method, a device and electronic equipment for predicting the fatigue life of an underwater wellhead, wherein the method for predicting the fatigue life of the underwater wellhead comprises the steps of determining the working condition type of the underwater wellhead, and acquiring the corresponding mechanical parameters and fluid temperature parameters of the underwater wellhead under the determined working condition type; establishing a physical three-dimensional model of the underwater wellhead, wherein the required parameters comprise physical assembly parameters, mechanical performance parameters, thermal performance parameters and the like of the size parameters, the coordination relation and the constraint conditions of all parts in the underwater wellhead; applying the mechanical parameters and the fluid temperature parameters of the underwater wellhead to the physical three-dimensional model of the underwater wellhead to form a thermal coupling model of the underwater wellhead, further determining fatigue hot spots of the underwater wellhead, and calculating fatigue damage degrees corresponding to the fatigue hot spots; and determining the fatigue life of the underwater wellhead through the fatigue damage degree. By adding thermal performance analysis, the stress condition of the underwater wellhead is considered multiple times, and the accuracy of the fatigue life prediction result of the underwater wellhead is further improved.

Description

Underwater wellhead fatigue life prediction method and device and electronic equipment
Technical Field
The application relates to the field of underwater production systems of offshore oil exploration and exploitation technologies, in particular to a method and a device for predicting fatigue life of an underwater wellhead and electronic equipment.
Background
The underwater wellhead is an indispensable device in the ocean oil and gas exploitation link, is a foundation for installing blowout preventers, christmas trees and other devices, and has the advantages of going through the whole oil and gas exploitation process and going through multiple stages of drilling, well completion, production, well repair and the like. The existing process of the underwater wellhead is carried out from the process of being lowered into the soil until the well is abandoned after oil extraction is completed, and the existing time is long in water, so that the performance of the underwater wellhead can directly influence the smooth expansion of the whole oil and gas exploitation work.
When the underwater wellhead system works, the load such as lateral friction force and transverse resistance generated by the weight of a hanging sleeve, the circulating bending moment and the interaction of a guide pipe and soil is mainly borne, and fatigue damage is accumulated continuously along with the increase of the operation times. The existing underwater wellhead fatigue life prediction is generally carried out by adopting one-time on-site data, drawing a wave scatter diagram and a flow profile diagram, then carrying out fatigue damage calculation by using a rain flow counting method, and evaluating the overall profile based on an S-N curve and one-time data in a literature.
However, this evaluation method ignores that fluid temperature may have an effect on the fatigue life of the subsea wellhead, resulting in reduced accuracy of the fatigue life prediction data for the subsea wellhead.
Disclosure of Invention
The application provides a method, a device and electronic equipment for predicting the fatigue life of an underwater wellhead, which can effectively improve the accuracy of a fatigue life prediction result of the underwater wellhead.
In order to achieve the above purpose, the present application adopts the following technical scheme:
in a first aspect, the present application provides a method for predicting fatigue life of an underwater wellhead, comprising:
determining the working condition type of the underwater wellhead, and acquiring the mechanical parameters and the fluid temperature parameters corresponding to the underwater wellhead under the determined working condition type;
establishing a physical three-dimensional model of the underwater wellhead, wherein parameters required for establishing the physical three-dimensional model of the underwater wellhead comprise physical assembly parameters and material parameters of all parts in the underwater wellhead, the physical assembly parameters of all the parts comprise size parameters, coordination relations and constraint conditions of the parts, and the material parameters of all the parts comprise mechanical property parameters and thermal property parameters of the parts;
applying the mechanical parameters and the fluid temperature parameters of the underwater wellhead to a physical three-dimensional model of the underwater wellhead to form a thermal coupling model of the underwater wellhead, and determining fatigue hot spots of the underwater wellhead through the thermal coupling model;
calculating the corresponding fatigue damage degree according to the fatigue hot spot of the underwater wellhead;
And determining the fatigue life of the underwater wellhead according to the fatigue damage degree.
As one possible implementation manner, obtaining mechanical parameters and fluid temperature parameters corresponding to the underwater wellhead under the determined working condition type specifically includes:
acquiring mechanical data such as pressure, torque hanging weight, bearing weight, radial load and the like received by an underwater wellhead through a mechanical sensor or a calculation model;
obtaining the ocean current force born by the underwater wellhead according to the ocean current force calculation model;
acquiring the soil force applied to the underwater wellhead according to the soil force calculation model;
acquiring temperature parameters of an underwater wellhead according to a temperature sensor;
at least one of the current force received by the underwater wellhead, the hanging weight of the underwater wellhead, the bearing weight of the underwater wellhead, the radial load of the underwater wellhead, the soil force received by the underwater wellhead and the temperature distribution of the underwater wellhead can be acquired by a sensor.
As one possible implementation manner, the method for establishing the physical three-dimensional model of the underwater wellhead specifically comprises the following steps:
establishing a material parameter library, wherein the material parameter library comprises mechanical performance parameters and thermal performance parameters corresponding to materials of all parts in the underwater wellhead;
according to the material parameter library, determining mechanical property parameters and thermal property parameters of materials of all parts of the underwater wellhead;
And assembling all the parts of the underwater wellhead according to a preset matching relationship to form a physical three-dimensional model.
As a possible implementation manner, the material parameter library is built, and specifically includes:
mechanical performance parameters and thermal performance parameters of the underwater wellhead component materials, including density, poisson ratio, yield strength, convective heat transfer coefficient, heat conductivity coefficient, elastic modulus, linear expansion coefficient, stress life curve and the like of the materials;
the stress life curve is obtained by calculation according to the yield strength of the material; or alternatively, the first and second heat exchangers may be,
the stress life curve is obtained according to a fatigue test of the material.
As one possible implementation manner, the mechanical parameters and the fluid temperature parameters of the underwater wellhead are applied to the physical three-dimensional model of the underwater wellhead to form a thermal coupling model of the underwater wellhead, which specifically comprises:
solving a temperature field according to the fluid temperature parameters, and applying the temperature field to a physical three-dimensional model, wherein thermal performance parameters required by solving the temperature field comprise a convection heat transfer coefficient, a heat conduction coefficient, an elastic modulus, a linear expansion coefficient and the like;
and carrying out stress analysis on the physical three-dimensional model applied with the temperature field according to the mechanical parameters so as to obtain a thermodynamic coupling model.
As a possible implementation manner, the stress analysis is performed on the physical three-dimensional model with the temperature field applied according to the mechanical parameters to obtain a thermal coupling model, which specifically includes:
carrying out stress analysis on the physical three-dimensional model according to the mechanical parameters so as to determine the position with the maximum equivalent stress or the minimum safety coefficient in the physical three-dimensional model;
and determining the position with the maximum equivalent stress or the minimum safety coefficient as a fatigue hot spot of the thermal coupling model.
As one possible implementation manner, determining the fatigue life of the underwater wellhead according to the fatigue damage degree specifically includes:
determining fatigue damage degree of the fatigue hot spot in each operation period under different working condition types;
according to the fatigue damage degree of the fatigue hot spot under different working condition types, determining the average fatigue damage degree of the underwater wellhead in the operation period;
and taking the average fatigue damage degree as a reference value, and determining the time for the fatigue damage degree of the underwater wellhead to increase from the reference value to a preset threshold value as the fatigue life of the underwater wellhead.
In a second aspect, the present application provides an underwater wellhead fatigue life prediction device comprising:
the parameter acquisition module is used for determining the working condition type of the underwater wellhead and acquiring the mechanical parameter and the fluid temperature parameter corresponding to the underwater wellhead under the determined working condition type;
The physical model module is used for establishing a physical three-dimensional model of the underwater wellhead, and parameters required for establishing the physical three-dimensional model of the underwater wellhead comprise physical assembly parameters and material parameters of all parts in the underwater wellhead, wherein the physical assembly parameters of all the parts comprise size parameters, coordination relations and constraint conditions of the parts, and the material parameters of all the parts comprise mechanical property parameters and thermal property parameters of the parts;
the thermal coupling model module is used for applying the mechanical parameters and the fluid temperature parameters of the underwater wellhead to the physical three-dimensional model of the underwater wellhead to form a thermal coupling model of the underwater wellhead, and determining fatigue hot spots of the underwater wellhead through the thermal coupling model;
the fatigue damage degree determining module is used for calculating the corresponding fatigue damage degree according to the fatigue hot spot of the underwater wellhead;
and the fatigue life determining module is used for determining the fatigue life of the underwater wellhead according to the fatigue damage degree.
In a third aspect, the present application provides an electronic device, comprising: a memory and a processor;
the memory is interconnected with the processor circuit;
the memory stores computer-executable instructions;
the processor executes the computer-executable instructions of the memory to implement any of the methods for predicting fatigue life of an underwater wellhead described above.
In a fourth aspect, the present application provides a computer readable storage medium having stored therein computer executable instructions that when executed by a processor are configured to implement any one of the foregoing methods for predicting fatigue life of an underwater wellhead.
The application provides an underwater wellhead fatigue life prediction method, an underwater wellhead fatigue life prediction device and electronic equipment, wherein the underwater wellhead fatigue life prediction method comprises the following steps: determining the working condition type of the underwater wellhead, and acquiring the mechanical parameters and the fluid temperature parameters corresponding to the underwater wellhead under the determined working condition type; establishing a physical three-dimensional model of the underwater wellhead, wherein parameters required for establishing the physical three-dimensional model of the underwater wellhead comprise physical assembly parameters and material parameters of all parts in the underwater wellhead, the physical assembly parameters of all the parts comprise size parameters, coordination relations and constraint conditions of the parts, and the material parameters of all the parts comprise mechanical property parameters and thermal property parameters of the parts; applying the mechanical parameters and the fluid temperature parameters of the underwater wellhead to a physical three-dimensional model of the underwater wellhead to form a thermal coupling model of the underwater wellhead, and determining fatigue hot spots of the underwater wellhead through the thermal coupling model; calculating the corresponding fatigue damage degree according to the fatigue hot spot of the underwater wellhead; and determining the fatigue life of the underwater wellhead according to the fatigue damage degree. By adding thermal performance analysis, the stress condition of the underwater wellhead is multiply considered, and the accuracy of the fatigue life prediction result of the underwater wellhead is further effectively improved.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for predicting fatigue life of an underwater wellhead according to an embodiment of the present application;
fig. 2 is a schematic flow chart of establishing a physical three-dimensional model in the method for predicting fatigue life of an underwater wellhead according to the embodiment of the present application;
FIG. 3 is a cross-sectional view of a physical three-dimensional model structure established in the method for predicting fatigue life of an underwater wellhead according to an embodiment of the present application;
FIG. 4 is a stress life fitting curve of alloy steel M4140 in the method for predicting fatigue life of an underwater wellhead provided in an embodiment of the present application;
FIG. 5 is a logic hierarchical diagram of an underwater wellhead fatigue life prediction device provided in an embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Reference numerals:
110-a physical three-dimensional model;
1101-high pressure wellhead; 1102-catheter head; 1103-cannula; 1104-cement sheath; 1105-catheter.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention. The following embodiments and features of the embodiments may be combined with each other without conflict.
In the prior art, an underwater wellhead is an indispensable device in an ocean oil and gas exploitation link, is a foundation for installing blowout preventers, christmas trees and other devices, and has the advantages of penetrating through the whole oil and gas exploitation process and going through multiple stages of drilling, well completion, production, well repair and the like. The existing process of the underwater wellhead is carried out from the process of being lowered into the soil until the well is abandoned after oil extraction is completed, and the existing time is long in water, so that the performance of the underwater wellhead can directly influence the smooth expansion of the whole oil and gas exploitation work.
When the underwater wellhead system works, the load such as lateral friction force and transverse resistance generated by the weight of a hanging sleeve, the circulating bending moment and the interaction of a guide pipe and soil is mainly borne, and fatigue damage is accumulated continuously along with the increase of the operation times. The existing underwater wellhead fatigue life prediction is generally carried out by adopting one-time on-site data, drawing a wave scatter diagram and a flow profile diagram, then carrying out fatigue damage calculation by using a rain flow counting method, and evaluating the overall profile based on an S-N curve and one-time data in a literature.
However, this evaluation method ignores that fluid temperature may have an effect on the fatigue life of the subsea wellhead, resulting in reduced accuracy of the fatigue life prediction data for the subsea wellhead.
In order to overcome the defects in the prior art, the application provides an underwater wellhead fatigue life prediction method, an underwater wellhead fatigue life prediction device and electronic equipment, wherein the underwater wellhead fatigue life prediction method comprises the following steps: determining the working condition type of the underwater wellhead, and acquiring the mechanical parameters and the fluid temperature parameters corresponding to the underwater wellhead under the determined working condition type; establishing a physical three-dimensional model of the underwater wellhead, wherein parameters required for establishing the physical three-dimensional model of the underwater wellhead comprise physical assembly parameters and material parameters of all parts in the underwater wellhead, the physical assembly parameters of all the parts comprise size parameters, coordination relations and constraint conditions of the parts, and the material parameters of all the parts comprise mechanical property parameters and thermal property parameters of the parts; applying the mechanical parameters and the fluid temperature parameters of the underwater wellhead to a physical three-dimensional model of the underwater wellhead to form a thermal coupling model of the underwater wellhead, and determining fatigue hot spots of the underwater wellhead through the thermal coupling model; calculating the corresponding fatigue damage degree according to the fatigue hot spot of the underwater wellhead; and determining the fatigue life of the underwater wellhead according to the fatigue damage degree. By adding thermal performance analysis, the stress condition of the underwater wellhead is multiply considered, and the accuracy of the fatigue life prediction result of the underwater wellhead is further effectively improved.
The present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can more clearly understand the present invention.
Fig. 1 is a schematic flow chart of a method for predicting fatigue life of an underwater wellhead according to an embodiment of the present application.
In a first aspect, as shown in fig. 1, a method for predicting fatigue life of an underwater wellhead in this embodiment includes:
s101, determining the working condition type of the underwater wellhead, and acquiring the mechanical parameters and the fluid temperature parameters corresponding to the underwater wellhead under the determined working condition type.
For an underwater wellhead, in the whole life cycle, four working conditions exist: the stress conditions of the underwater wellhead are obviously different under different working conditions, such as:
in the early drilling condition stage, the underwater wellhead is mainly subjected to the combined action of transverse load and axial load, wherein the transverse load mainly comprises ocean current force acting on the risers, the bottom riser assembly, the blowout preventer, wave force acting on the risers by waves and soil force of the soil to the guide pipe. The axial load mainly comprises the tension applied to the top end of the marine riser by the tensioning system, the buoyancy provided by the buoyancy section, the floating weight of the marine riser, the floating weight of the bottom marine riser assembly, the floating weight of the blowout preventer, the axial soil force of the soil on the conduit, and the like.
In the well completion working condition stage, the stress of the whole oil gas exploitation system increases the ocean current force of ocean current acting on the christmas tree and the dead weight of the christmas tree on the basis of the drilling working condition.
During the production phase, the lateral load includes only the current forces acting on the tree and subsea wellhead.
The stress on the underwater wellhead in the well repair working condition stage is required to be determined according to the specific situation.
Thermal influencing factors are accompanied in all four working conditions, so that fluid temperature parameters in mechanical parameters and thermal performance parameters under different working conditions need to be obtained.
S102, establishing a physical three-dimensional model of the underwater wellhead, wherein parameters required for establishing the physical three-dimensional model of the underwater wellhead comprise physical assembly parameters and material parameters of all parts in the underwater wellhead, the physical assembly parameters of all the parts comprise size parameters, coordination relations and constraint conditions of the parts, and the material parameters of all the parts comprise mechanical performance parameters and thermal performance parameters of the parts.
It is not easy to understand that in the process of carrying out thermal coupling stress analysis on an underwater wellhead, a physical three-dimensional model of the underwater wellhead needs to be established first, the establishment of the physical three-dimensional model needs to obtain each component structure of the underwater wellhead structure and the mutual matching relation among the components, and in addition, the mechanical property parameters and the thermal property parameters of materials also influence the service life of the underwater wellhead, so that the accuracy of the physical three-dimensional model and the accuracy of the service life prediction result of the underwater wellhead can be improved by obtaining the effective and accurate structure of the underwater wellhead component and the related material parameters.
S103, applying the mechanical parameters and the fluid temperature parameters of the underwater wellhead to a physical three-dimensional model of the underwater wellhead to form a thermal coupling model of the underwater wellhead, and determining fatigue hot spots of the underwater wellhead through the thermal coupling model.
Specifically, when the thermal analysis and the mechanical analysis are performed on the underwater wellhead through finite element analysis, the thermal analysis and the mechanical analysis are not simply overlapped, the thermal analysis is performed in a temperature field, the mechanical analysis is performed in a stress strain field, and when the underwater wellhead is analyzed, the thermal coupling model is formed according to the sequence of the temperature field and the stress strain field, fatigue hot spots of the underwater wellhead can be obtained through the analysis of the physical three-dimensional model, and it is easy to understand that the fatigue hot spots corresponding to the components can be obtained when the analysis is performed on the components of the underwater wellhead. Fatigue hot spots are locations where structural discontinuities or stress concentrations exist in the subsea wellhead components that are prone to fatigue failure.
S104, calculating the corresponding fatigue damage degree according to the fatigue hot spot of the underwater wellhead.
And the fatigue hot spot of the underwater wellhead is obtained after the thermal coupling analysis, is used as the position of the underwater wellhead component where structural failure is most likely to occur, is periodically monitored and combined with thermal characteristics and structural characteristics of the fatigue hot spot, and the fatigue damage degree corresponding to the fatigue hot spot is obtained through calculation.
S105, determining the fatigue life of the underwater wellhead according to the fatigue damage degree.
The fatigue damage degree is a measure of the fatigue damage degree of a fatigue hot spot in a fixed working condition and a fixed period, and the value range of the measure is specified to be 0-1 in the application. The time required for the fatigue damage degree to change from 0 to 1 is the fatigue life.
According to the method for predicting the fatigue life of the underwater wellhead, mechanical analysis of thermal coupling is carried out on the underwater wellhead structure under different working conditions, so that the position where stress is most concentrated in the underwater wellhead structure is obtained, namely the fatigue hot spot, and the fatigue hot spot is periodically monitored and calculated to predict the fatigue life of the underwater wellhead structure. Compared with the existing fatigue life prediction method, the thermal analysis is added, so that the stress condition of the underwater wellhead structure is more accurate, and the accuracy and reliability of the fatigue life prediction result of the underwater wellhead structure are improved.
As one possible implementation manner, obtaining mechanical parameters and fluid temperature parameters corresponding to the underwater wellhead under the determined working condition type specifically includes:
acquiring at least one of pressure, torque hanging weight, bearing weight and radial load of an underwater wellhead through a mechanical sensor or a calculation model;
Obtaining the ocean current force born by the underwater wellhead according to the ocean current force calculation model;
acquiring the soil force applied to the underwater wellhead according to the soil force calculation model;
acquiring temperature parameters of an underwater wellhead according to a temperature sensor;
at least one of the current force received by the underwater wellhead, the hanging weight of the underwater wellhead, the bearing weight of the underwater wellhead, the radial load of the underwater wellhead, the soil force received by the underwater wellhead and the temperature distribution of the underwater wellhead can be acquired by a sensor.
Specifically, in this embodiment, the related parameters that the force applied to the underwater wellhead needs to be obtained through the corresponding sensors are not specifically described, and only the ocean current force and the soil force that cannot be directly obtained are described.
Ocean current force equation (1) can be used to calculate the ocean current flow rate at a depth below the ocean surface:
V=V w [h/H]+V c [h/H] 1/7 (1)
in the formula (1): v is the flow velocity of ocean current at the water depth h, and the unit is m/s; v (V) w The unit is m/s for the sea surface wind flow velocity; vc is sea surface tide flow velocity, and the unit is m/s; h is the depth of water, and the unit is m; h is the distance from the water depth H to the seabed, and the unit is m. In the concrete analysis, the ocean current force at a certain depth has small change along with time, so the transverse resistance is mainly considered, and the ocean current force per unit length is as follows:
Figure BDA0004113949730000091
In the formula (2), V is the flow velocity of ocean current at the water depth h, and the unit is m/s; c (C) D The resistance coefficient in the constant flow is generally 1.5; ρ w For the density of seawater, 1045kg/m was taken 3 The method comprises the steps of carrying out a first treatment on the surface of the D is the outer diameter of the drop string, and the unit is m.
The ocean current force in this embodiment is finally calculated by equation (2).
The soil force is calculated as follows:
let x be tp For the depth of the turning point of the reaction force of the extreme horizontal soil, x is generally calculated as tp Is regarded as the boundary between shallow soil and deep soil, x tp The value of (2) is determined by formula (3):
Figure BDA0004113949730000092
in the formula (3), C od The outer diameter of the catheter is as follows: mm; s is S sh The shear strength is the non-drainage shear strength of undisturbed soil, and the unit is: kPa; s is S we Is the soil weight, kN/m 3 The method comprises the steps of carrying out a first treatment on the surface of the Lambda is an empirical constant, typically 0.25 to 0.5, with soft clay 0.5 and hard clay 0.25.
Shear Strength S for non-drainage sh Soft clay less than or equal to 96kPa, pipe side limit horizontal soil reaction force R at depth x below mud surface f Determined by formula (4):
Figure BDA0004113949730000093
finally, the soil force in the present embodiment is obtained by calculation of formula (4).
Fig. 2 is a schematic flow chart of establishing a physical three-dimensional model in the method for predicting the fatigue life of an underwater wellhead according to the embodiment of the present application.
As shown in fig. 2, the present application provides a possible implementation manner, and specifically includes that a physical three-dimensional model of the underwater wellhead is built:
S301, establishing a material parameter library, wherein the material parameter library comprises mechanical performance parameters and thermal performance parameters corresponding to materials of all components in the underwater wellhead.
The mechanical and thermal performance parameters of the material specifically comprise: density, poisson's ratio, yield strength, convective heat transfer coefficient, thermal conductivity, elastic modulus, linear expansion coefficient, and the like. In addition, the dimensional parameters of the components, i.e., the design dimensions of the critical components of the subsea wellhead, also need to be stored in a materials parameter library.
The material parameter library also comprises an S-N curve of the material adopted by the underwater wellhead component, wherein the S-N curve is an important parameter for measuring the mechanical property of the material. And (3) establishing a material parameter library so that after a certain part is subjected to material replacement, the parameter setting of the corresponding part can be quickly changed, and further, the fatigue life of a new underwater wellhead part is calculated.
S302, determining mechanical performance parameters and thermal performance parameters of materials of all parts of the underwater wellhead according to the material parameter library.
And (3) calling performance parameters of corresponding materials through the established material parameter library, and performing material setting on each component in the finite element analysis process.
S303, assembling all parts of the underwater wellhead according to a preset matching relationship to form a physical three-dimensional model.
It will be appreciated that structural constraints are added to the components of the subsea wellhead in a finite element analysis and an assembled physical three-dimensional model is formed to facilitate coupling analysis of the subsea wellhead physical three-dimensional model in a temperature field and a stress strain field.
Fig. 3 is a schematic diagram of a physical three-dimensional model of an underwater wellhead, which is built in the method for predicting fatigue life of the underwater wellhead according to an embodiment of the present application.
As shown in fig. 3, the physical three-dimensional model 110 of the subsea wellhead in this embodiment includes a high pressure wellhead 1101, a conductor head 1102, a casing 1103, a cement sheath 1104, and a conductor 1105. Specifically, cement sheath 1104 is sequentially and alternately distributed along the radial direction of physical three-dimensional model 110 and away from the axis of physical three-dimensional model 110, conduit 1105 is inserted into two adjacent cement sheath 1104, conduit 1105 extends along the axial direction of physical three-dimensional model 110 and is connected with conduit 1105 along the extending direction of conduit 1105, sleeve 1103 extends along the axial direction of physical three-dimensional model 110, sleeve 1103 is inserted into cement sheath 1104 along the radial inner side of physical three-dimensional model 110, and the end of sleeve 1103 along the extending direction is connected with high-pressure wellhead. It should be noted that the physical three-dimensional model of the underwater wellhead in this embodiment further includes a locking ring, a low pressure wellhead, a carrier ring, a shoulder, a conduit, a surface casing, a casing hanger, and the like, which are not shown in fig. 3.
It should be noted that, the cross sections of all the components in the underwater wellhead provided in this embodiment are circular rings, and fig. 3 is a cross section of a physical three-dimensional model structure established in the method for predicting the fatigue life of the underwater wellhead provided in this embodiment, and this is described without affecting the understanding of those skilled in the art.
Table 1 material parameters required to build critical components of an underwater wellhead
Figure BDA0004113949730000101
Figure BDA0004113949730000111
The material parameters in table 1 are all included in the material parameter library, and it is understood that, in the analysis of the physical three-dimensional model, only relevant material parameter restrictions need to be given to the component.
In addition, the material parameter library established in this embodiment is shown in table 1, and it should be noted that the material parameters in table 1 are only a part of the material parameter library, and the related parameters in the material parameter library are not limited to those in table 1.
Based on the above embodiment, the material parameter library is established, which specifically includes:
mechanical performance parameters and thermal performance parameters of the underwater wellhead component materials, including density, poisson ratio, yield strength, convective heat transfer coefficient, heat conductivity coefficient, elastic model, specific heat capacity, linear expansion coefficient, stress life curve and the like of the materials;
the stress life curve is obtained by calculation according to the yield strength of the material; or alternatively, the process may be performed,
The stress life curve can be obtained according to a fatigue test of the material.
The indication of the mechanical performance parameters of the material is reflected by the stress life curve (S-N curve) of the material, and the application provides two methods for obtaining the S-N curve, one is calculated by the yield strength of the material, and the other is obtained by performing a fatigue test on the material. Although the S-N curves of the materials can be obtained in the two modes, more mechanical property parameters of the materials can be obtained in the fatigue test process, so the embodiment is described in the method for obtaining the S-N curves of the materials by the fatigue test.
This example illustrates the material alloy steel M4140 used for the locking tool in the subsea wellhead, and test data for the alloy steel M4140 obtained by fatigue test are shown in table 2:
TABLE 2 fatigue test data for alloy steel M4140
Figure BDA0004113949730000112
The expression of the S-N curve of the alloy steel M4140 material obtained by fitting the above data is:
logS==2.6901-0.01803×logN(5)
the fitting result is shown in fig. 4, and the number of cycles under any stress can be obtained by the formula (5).
From the fatigue test, alloy steel M4140 was found to have an average yield strength of 595MPa, a tensile strength of 725MPa, a cross-sectional shrinkage of 15.5% and an elongation of 63%.
As one possible implementation manner, the mechanical parameters and the fluid temperature parameters of the underwater wellhead are applied to the physical three-dimensional model of the underwater wellhead to form a thermal coupling model of the underwater wellhead, which specifically comprises:
solving a temperature field according to the fluid temperature parameters, and applying the temperature field to a physical three-dimensional model, wherein thermal performance parameters required by solving the temperature field comprise a convection heat transfer coefficient, a heat conduction coefficient, an elastic modulus, a linear expansion coefficient and the like;
and carrying out stress analysis on the physical three-dimensional model applied with the temperature field according to the mechanical parameters so as to obtain a thermodynamic coupling model.
In this embodiment, when finite element analysis is performed on a physical three-dimensional model, the physical three-dimensional model is placed in a temperature field, and thermal performance parameters such as a convection heat transfer coefficient, a heat conduction coefficient, an elastic modulus, a linear expansion coefficient and the like at a specific temperature are given in the temperature field, so as to obtain stress variation of the physical three-dimensional model in the temperature field, and further stress analysis is performed on the physical three-dimensional model after thermal analysis in a stress strain field, namely, relevant mechanical parameters are added to the physical three-dimensional model, so as to obtain a thermal coupling model.
In one possible case, the stress analysis is performed on the physical three-dimensional model with the temperature field applied according to the mechanical parameters to obtain a thermal coupling model, which specifically includes:
And carrying out stress analysis on the physical three-dimensional model according to the mechanical parameters so as to determine the position with the maximum equivalent stress or the minimum safety coefficient in the physical three-dimensional model.
And determining the position with the maximum equivalent stress or the minimum safety coefficient as a fatigue hot spot of the thermal coupling model.
According to the method, the physical three-dimensional model is thermally and mechanically coupled, and finally, the position with the maximum equivalent stress of each part in the physical three-dimensional model can be obtained in the stress strain field, the possibility of failure of the position is increased due to stress concentration of the position, namely, the safety coefficient corresponding to the position with the maximum equivalent stress is minimum, and the position with the maximum equivalent stress or the minimum safety coefficient is called a fatigue hot spot.
As one possible implementation manner, determining the fatigue life of the underwater wellhead according to the fatigue damage degree specifically includes:
determining fatigue damage degree of the fatigue hot spot in each operation period under different working condition types;
according to the fatigue damage degree of the fatigue hot spot under different working condition types, determining the average fatigue damage degree of the underwater wellhead in the operation period;
and taking the average fatigue damage degree as a reference value, and determining the time for the fatigue damage degree of the underwater wellhead to increase from the reference value to a preset threshold value as the fatigue life of the underwater wellhead.
Specifically, the maximum point of equivalent stress of each part can be obtained after thermal coupling stress analysis, and the maximum point is the position with the minimum safety coefficient of the underwater wellhead part, and the position is called as a fatigue hot spot in the application. It can be understood that the corresponding thermal force and the load condition of the fatigue hot spot in each operation period are recorded, the fatigue damage degree in each operation period can be obtained by combining an S-N curve and a mathematical model, and the fatigue damage degrees under different working conditions can be obtained by the same method, so that the total fatigue damage degree in the same operation period can be solved through a formula. On the basis of the total fatigue damage degree, the average fatigue damage degree in one operation period is obtained through calculation and analysis, and the fatigue life is solved by taking the average fatigue damage degree as a reference.
Specifically, the fatigue damage degree can be calculated by the following formula:
Figure BDA0004113949730000131
in the formula (6), D to N is the sum of all working condition types in the life cycle and P is the total fatigue damage degree in one cycle i D is the probability of a certain working condition occurring in one operation period i For the fatigue damage degree corresponding to a certain working condition in one operation period, the data is updated once in each operation period by depending on the related data record.
P i The calculation formula of (2) is as follows:
Figure BDA0004113949730000132
in the formula (7), P ti The unit is d, T, the time of the underwater wellhead under a certain working condition in one operation period to The unit is d, which is the duration of one operation period of the underwater wellhead.
The average fatigue damage degree calculation formula is as follows:
Figure BDA0004113949730000133
in the mathematical solution process, the fatigue damage degree is a numerical value, and the following regulations are made in combination with the actual production operation condition of the underwater wellhead, wherein the numerical range of the fatigue damage degree is 0-1, and when the fatigue damage degree is 0, namely the underwater wellhead component is not damaged; when the fatigue damage degree is 1, namely the underwater wellhead component fails, it is easy to understand that the damage accompanying the underwater wellhead component is more and more serious in the process of changing the fatigue damage degree from 0 to 1. In addition, the running period can be in a unit of day or a unit of month, the duration of the running period is not limited, and the duration of the running period needs to be set according to actual conditions.
The initial fatigue damage degree is recorded as 0, and the time from 0 to 1 of the average fatigue damage degree is the fatigue life, and the calculation formula is as follows:
Figure BDA0004113949730000141
in the formula (9), L Fa The fatigue life of the underwater wellhead is obtained.
The total life of the underwater wellhead is the sum of the current running cycle number and the fatigue life, and the total life of the underwater wellhead is expressed as follows:
L To =kC Op +L Fa (10)
In the formula (10), L To Is the total life of the underwater wellhead; c (C) op Is the duration of one run period; k is the period number, and the period number starts to be timed from the time when the underwater wellhead is put into use.
According to the embodiment, through the analysis, two fatigue hot spots of the underwater wellhead under the production working condition are positioned according to the maximum equivalent stress, and the corresponding fatigue damage degree is calculated, wherein the result is shown in table 3.
TABLE 3 fatigue hot spot and fatigue damage degree of underwater wellhead under production working condition
Fatigue hot spot location Equivalent stress/MPa Degree of fatigue damage
High-pressure wellhead and sleeve welding part 312.56 3.41×10 -2
Catheter head and catheter junction 211.4 1.04×10 -2
In addition, the method for predicting the fatigue life of the underwater wellhead further comprises influence factor analysis, wherein the influence factors comprise size parameters, material parameters, mechanical parameters and the like of the structure, the size parameters can provide references for structural design, the material parameters can provide references for material optimization, and the mechanical parameters can provide references for fatigue hot spot judgment. Specifically, the influence factor analysis is still obtained through mathematical calculation:
Figure BDA0004113949730000142
in the formula (11), S i Refers to the percentage of influence of a certain or a certain type of influencing factors on the fatigue life of the underwater wellhead; LS i Refers to the absolute value of the local sensitivity of a certain or a certain class of influencing factors to the fatigue life of an underwater wellhead.
Under each type of influencing factors, the method can be refined aiming at specific parameters, each parameter has corresponding LS, the value is positive or negative, and the larger the absolute value is, the larger the influence on the fatigue life is. Wherein, LS value is positive and shows positive correlation with fatigue life, that is, the larger the value of the parameter is, the more beneficial to the fatigue life of the underwater wellhead is; similarly, a negative LS value indicates that a larger value of the parameter is more detrimental to the fatigue life of the subsea wellhead. The relevant factors with the greatest influence on the fatigue life are obtained through influence factor analysis, the relevant factors can be improved through design, specifically, the influence degree of the size parameters on the fatigue life can be obtained through influence factor analysis by taking the size parameters as an example, the size parameters are used as a numerical range, the fatigue life can be further prolonged through changing the size parameters, so that a reasonable size parameter value range is determined, the structural strength of the underwater wellhead is ensured through changing the corresponding size parameters of the underwater wellhead, and the practical life of the underwater wellhead is prolonged.
In conclusion, the thermal characteristics and the mechanical characteristics are coupled through the method, and the fatigue life of the underwater wellhead component in the operation period can be obtained by combining finite element analysis and model solving. Compared with the fatigue life acquisition mode in the prior art, the method considers the effect and the influence of the thermal effect on the underwater wellhead component, and increases the fatigue test link, thereby effectively improving the accuracy of fatigue life prediction.
Fig. 5 is a view of an apparatus for predicting fatigue life of an underwater wellhead according to an embodiment of the present application.
In a second aspect, embodiments of the present application provide an underwater wellhead fatigue life prediction device 200, comprising:
the parameter obtaining module 201 is configured to determine a working condition type of the underwater wellhead, and obtain a mechanical parameter and a fluid temperature parameter corresponding to the underwater wellhead under the determined working condition type.
The physical model module 202 is configured to build a physical three-dimensional model of the underwater wellhead, where parameters required for building the physical three-dimensional model of the underwater wellhead include physical assembly parameters and material parameters of each component in the underwater wellhead, the physical assembly parameters of each component include size parameters, matching relationships and constraint conditions of the components, and the material parameters of each component include mechanical performance parameters and thermal performance parameters of the components.
The thermal coupling model building module 203 is configured to apply mechanical parameters and fluid temperature parameters of the underwater wellhead to a physical three-dimensional model of the underwater wellhead to form a thermal coupling model of the underwater wellhead, and determine fatigue hot spots of the underwater wellhead through the thermal coupling model.
The fatigue damage degree determining module 204 is configured to calculate a corresponding fatigue damage degree according to a fatigue hot spot of the underwater wellhead.
The fatigue life determining module 205 is configured to determine a fatigue life of the underwater wellhead according to the fatigue damage degree.
Specifically, the parameter obtaining module 201 is configured to implement S101 in the foregoing embodiment, and is capable of interpreting a working condition of the underwater wellhead according to monitoring data of the underwater wellhead component, and obtaining a mechanical parameter and a fluid temperature parameter under the corresponding working conditions.
The physical model module 202 is used for implementing S102 in the foregoing embodiment, and the physical model module 202 may invoke the related mechanical and fluid temperature parameters acquired by the parameter acquisition module 201, and build a physical three-dimensional model according to the assembly constraint relationship between the components.
The thermal coupling model building module 203 is configured to implement S103 in the foregoing embodiment, and specifically, the thermal coupling model building module 203 performs thermal coupling analysis on the physical three-dimensional model finally built by the physical model module 202, and obtains the fatigue hot spot after the coupling analysis.
The fatigue damage degree determining module 204 is configured to implement S104 in the foregoing embodiment, and obtain the fatigue damage degree by calculating parameters of the fatigue hot spot in a fixed operation period.
The fatigue life determining module 205 is configured to implement S105 in the foregoing embodiment, and finally determine the fatigue life value based on the data about the fatigue damage degree obtained by the fatigue damage degree determining module 204 and in combination with the algorithm of the fatigue life.
In addition, the application can also provide a module, namely an influence factor judging module, specifically, the influence factor judging module can call the data of each module in the embodiment, and the influence degree of the material parameters, the size parameters, the stress parameters and other related parameters of each part of the underwater wellhead on the fatigue life is obtained through calculation.
Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
In a third aspect, embodiments of the present application provide an electronic device 400, including: a memory 401 and a processor 402;
memory 401 and processor 402 are electrically interconnected;
memory 401 stores computer-executable instructions;
processor 402 executes computer-executable instructions of memory 401 to implement any of the methods of predicting fatigue life of an underwater wellhead as previously described.
As shown in fig. 6, the electronic device 400 in this embodiment may be a computer, and the electronic device includes a memory 401 and a processor 402, where the memory 401 and the processor 402 are electrically connected, and in particular may be connected by an integrated logic circuit, and the memory 401 may store instructions required by the processor 402, and in particular may implement an execution command of each step in the method for predicting life of a wellhead under water in the foregoing embodiment, and various data required in the method, and the processor 402 may retrieve all the data stored in the memory 401 to execute computer instructions of the foregoing method, and perform relevant calculation and analysis. It will be appreciated that the electronic device in this embodiment may further include a visual display structure, for example, a display screen, and the fatigue life and the calculation results corresponding to each portion are displayed through the visual display structure, so that each link in the method can be effectively and directly reflected.
In a fourth aspect, the present application provides a computer readable storage medium having stored therein computer executable instructions that when executed by a processor are configured to implement any one of the foregoing methods for predicting fatigue life of an underwater wellhead.
The computer readable storage medium in this embodiment may be a storage medium such as a floppy disk, a hard disk, or a usb disk, and may store a computer execution command, and may implement the foregoing method for predicting the fatigue life of an underwater wellhead.
The application provides an underwater wellhead fatigue life prediction method, an underwater wellhead fatigue life prediction device and electronic equipment, wherein the underwater wellhead fatigue life prediction method comprises the following steps: determining the working condition type of the underwater wellhead, and acquiring the mechanical parameters and the fluid temperature parameters corresponding to the underwater wellhead under the determined working condition type; establishing a physical three-dimensional model of the underwater wellhead, wherein parameters required for establishing the physical three-dimensional model of the underwater wellhead comprise physical assembly parameters and material parameters of all parts in the underwater wellhead, the physical assembly parameters of all the parts comprise size parameters, coordination relations and constraint conditions of the parts, and the material parameters of all the parts comprise mechanical property parameters and thermal property parameters of the parts; applying the mechanical parameters and the fluid temperature parameters of the underwater wellhead to a physical three-dimensional model of the underwater wellhead to form a thermal coupling model of the underwater wellhead, and determining fatigue hot spots of the underwater wellhead through the thermal coupling model; calculating the corresponding fatigue damage degree according to the fatigue hot spot of the underwater wellhead; and determining the fatigue life of the underwater wellhead according to the fatigue damage degree. By adding thermal performance analysis, the stress condition of the underwater wellhead is multiply considered, and the accuracy of the fatigue life prediction result of the underwater wellhead is further effectively improved.
It should be noted that references in the specification to "one embodiment," "an example embodiment," "some embodiments," etc., indicate that the embodiment described may include a particular feature, structure, or characteristic, but every embodiment may not necessarily include the particular feature, structure, or characteristic. Moreover, such phrases are not necessarily referring to the same embodiment. Furthermore, when a particular feature, structure, or characteristic is described in connection with an embodiment, it is submitted that it is within the knowledge of one skilled in the art to effect such feature, structure, or characteristic in connection with other embodiments whether or not explicitly described.
Generally, terms should be understood at least in part by use in the context. For example, the term "one or more" as used herein may be used to describe any feature, structure, or characteristic in a singular sense, or may be used to describe a combination of features, structures, or characteristics in a plural sense, at least in part depending on the context. Similarly, terms such as "a" or "an" may also be understood to convey a singular usage or a plural usage, depending at least in part on the context.
It should be readily understood that the terms "on … …", "above … …" and "above … …" in this application should be interpreted in the broadest sense such that "on … …" means not only "directly on something" but also includes the meaning of "on something" with intermediate features or layers therebetween, and "above … …" or "above … …" includes the meaning of "not only" on something "or" above "but also" above "or" above "without intermediate features or layers therebetween (i.e., directly on something).
Further, spatially relative terms, such as "below," "beneath," "above," "over," and the like, may be used herein for ease of description to describe one element or feature's relationship to another element or feature as illustrated. Spatially relative terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. The device may have other orientations (90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted accordingly.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.

Claims (10)

1. The method for predicting the fatigue life of the underwater wellhead is characterized by comprising the following steps of:
Determining the working condition type of an underwater wellhead, and acquiring the mechanical parameter and the fluid temperature parameter corresponding to the underwater wellhead under the determined working condition type;
establishing a physical three-dimensional model of an underwater wellhead, wherein parameters required for establishing the physical three-dimensional model of the underwater wellhead comprise physical assembly parameters and material parameters of all parts in the underwater wellhead, the physical assembly parameters of all parts comprise size parameters, matching relations and constraint conditions of the parts, and the material parameters of all the parts comprise mechanical property parameters and thermal property parameters of the parts;
applying the mechanical parameters and the fluid temperature parameters of the underwater wellhead to a physical three-dimensional model of the underwater wellhead to form a thermal coupling model of the underwater wellhead, and determining fatigue hot spots of the underwater wellhead through the thermal coupling model;
calculating the corresponding fatigue damage degree according to the fatigue hot spot of the underwater wellhead;
and determining the fatigue life of the underwater wellhead according to the fatigue damage degree.
2. The method for predicting the fatigue life of the underwater wellhead according to claim 1, wherein obtaining the mechanical parameter and the fluid temperature parameter corresponding to the underwater wellhead under the determined working condition type comprises the following steps:
Acquiring the mechanical data such as pressure, torque, hanging weight, bearing weight, radial load and the like of the underwater wellhead through a mechanical sensor or a calculation model;
obtaining the ocean current force born by the underwater wellhead according to an ocean current force calculation model;
acquiring the soil force of the underwater wellhead according to a soil force calculation model;
acquiring temperature parameters of the underwater wellhead according to a temperature sensor;
at least one of the current force received by the underwater wellhead, the hanging weight of the underwater wellhead, the bearing weight of the underwater wellhead, the radial load of the underwater wellhead, the soil force received by the underwater wellhead and the temperature distribution of the underwater wellhead can be acquired by a sensor.
3. The method according to claim 1, wherein the creating a physical three-dimensional model of the subsea wellhead specifically comprises:
establishing a material parameter library, wherein the material parameter library comprises mechanical property parameters and thermal property parameters corresponding to materials of all parts in the underwater wellhead;
according to the material parameter library, determining mechanical performance parameters and thermal performance parameters of materials of all parts of the underwater wellhead;
and assembling all the parts of the underwater wellhead according to a preset matching relationship to form the physical three-dimensional model.
4. A method according to claim 3, characterized in that the establishment of the library of material parameters comprises in particular:
the mechanical performance parameters and the thermal performance parameters of the underwater wellhead component material comprise density, poisson ratio, yield strength, convection heat transfer coefficient, heat conductivity coefficient, elastic modulus, linear expansion coefficient, stress life curve and the like of the material;
wherein the stress life curve is obtained by calculation according to the yield strength of the material; or alternatively, the first and second heat exchangers may be,
the stress life curve is obtained according to a fatigue test of the material.
5. The method according to any of claims 1-4, wherein said applying said mechanical parameters and said fluid temperature parameters of said subsea wellhead to a physical three-dimensional model of said subsea wellhead to form a thermal coupling model of said subsea wellhead, comprises in particular:
solving a temperature field according to the fluid temperature parameter, and applying the temperature field to the physical three-dimensional model, wherein thermal performance parameters required by solving the temperature field comprise a convection heat transfer coefficient, a heat conduction coefficient, an elastic modulus, a linear expansion coefficient and the like;
and carrying out stress analysis on the physical three-dimensional model applied with the temperature field according to the mechanical parameters so as to obtain the thermal coupling model.
6. The method according to claim 5, wherein the step of subjecting the physical three-dimensional model to which the temperature field is applied to a stress analysis according to the mechanical parameters to obtain the thermal coupling model comprises:
carrying out stress analysis on the physical three-dimensional model according to the mechanical parameters so as to determine the position with the maximum equivalent stress or the minimum safety coefficient in the physical three-dimensional model;
and determining the position with the maximum equivalent stress or the minimum safety coefficient as a fatigue hot spot of the thermal coupling model.
7. Method according to any of claims 1-4, characterized in that the fatigue life of the subsea wellhead is determined from the fatigue damage level, in particular comprising:
determining the fatigue damage degree of the fatigue hot spot under different working condition types in each operation period;
determining the average fatigue damage degree of the underwater wellhead in the operation period according to the fatigue damage degree of the fatigue hot spot under different working condition types;
and taking the average fatigue damage degree as a reference value, and determining the time for the fatigue damage degree of the underwater wellhead to increase from the reference value to a preset threshold value as the fatigue life of the underwater wellhead.
8. An underwater wellhead fatigue life prediction device, comprising:
the parameter acquisition module is used for determining the working condition type of the underwater wellhead and acquiring the mechanical parameter and the fluid temperature parameter corresponding to the underwater wellhead under the determined working condition type;
the physical model module is used for establishing a physical three-dimensional model of the underwater wellhead, and parameters required for establishing the physical three-dimensional model of the underwater wellhead comprise physical assembly parameters and material parameters of all parts in the underwater wellhead, wherein the physical assembly parameters of all the parts comprise size parameters, coordination relations and constraint conditions of the parts, and the material parameters of all the parts comprise mechanical performance parameters and thermal performance parameters of the parts;
the thermal coupling model module is used for applying the mechanical parameters and the fluid temperature parameters of the underwater wellhead to a physical three-dimensional model of the underwater wellhead to form a thermal coupling model of the underwater wellhead, and determining fatigue hot spots of the underwater wellhead through the thermal coupling model;
the fatigue damage degree determining module is used for calculating the corresponding fatigue damage degree according to the fatigue hot spot of the underwater wellhead;
And the fatigue life determining module is used for determining the fatigue life of the underwater wellhead according to the fatigue damage degree.
9. An electronic device, comprising: a memory and a processor;
the memory and the processor circuit are interconnected;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions of the memory to implement the method of predicting fatigue life of an underwater wellhead of any of claims 1-7.
10. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are for implementing the method of predicting fatigue life of an underwater wellhead as claimed in any of claims 1 to 7.
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