WO2025251571A1 - 封隔器胶筒优化设计方法、装置、设备及存储介质 - Google Patents

封隔器胶筒优化设计方法、装置、设备及存储介质

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Publication number
WO2025251571A1
WO2025251571A1 PCT/CN2024/137898 CN2024137898W WO2025251571A1 WO 2025251571 A1 WO2025251571 A1 WO 2025251571A1 CN 2024137898 W CN2024137898 W CN 2024137898W WO 2025251571 A1 WO2025251571 A1 WO 2025251571A1
Authority
WO
WIPO (PCT)
Prior art keywords
sleeve
rubber
packer
optimization design
structural parameters
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
PCT/CN2024/137898
Other languages
English (en)
French (fr)
Inventor
连志龙
张文斌
王永红
房烨欣
袁亮
宁坤
穆凌雨
马汝涛
张奎
袁国海
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China National Petroleum Corp
CNPC Engineering Technology R&D Co Ltd
Original Assignee
China National Petroleum Corp
CNPC Engineering Technology R&D Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China National Petroleum Corp, CNPC Engineering Technology R&D Co Ltd filed Critical China National Petroleum Corp
Publication of WO2025251571A1 publication Critical patent/WO2025251571A1/zh
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/17—Mechanical parametric or variational design
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00—Details relating to CAD techniques
    • G06F2111/04—Constraint-based CAD
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces

Definitions

  • This invention belongs to the field of oil and gas well engineering testing and completion technology, specifically relating to a packer sleeve optimization design method, a packer sleeve optimization design device, a packer sleeve optimization design equipment, and a machine-readable storage medium.
  • Ultra-deep wells are characterized by ultra-high temperature, high pressure, and corrosive fluids, posing significant challenges to well testing operations.
  • Packers are key downhole tools for well testing in ultra-deep and ultra-deep wells, and the rubber sleeve is a core and weakest component of the packer. Its main failure modes include decreased elasticity due to rubber aging, sleeve cracking, and shoulder tearing caused by excessive pressure differential.
  • a first aspect of the present invention provides a method for optimizing the design of a packer sleeve, the method comprising:
  • a finite element parametric model of the rubber sleeve assembly was constructed using the measured mechanical property data, the structural parameters of the rubber sleeve, and the structural parameters of the metal frame.
  • the temperature and pressure load of the rubber sleeve under the specific well completion and oil testing conditions of the study well were obtained.
  • the simulation analysis of the rubber sleeve combination finite element parameterized model under the temperature and pressure load was carried out in combination with the target rubber constitutive model, and the simulation analysis results of the rubber sleeve were obtained.
  • the sealing effect of the packer is evaluated using the simulation analysis results of the rubber sleeve, and the evaluation results are output.
  • an optimized design scheme for the packer is determined for use in the design or optimization of the packer in the research well.
  • a second aspect of the present invention provides a packer cartridge optimization design apparatus, the apparatus comprising:
  • the first acquisition module is used to acquire measured data of the mechanical properties of the rubber material of the rubber sleeve at the expected service temperature of the research well;
  • the second acquisition module is used to acquire the pre-determined structural parameters of the rubber sleeve in the research well and the structural parameters of the metal skeleton inside the packer.
  • the model building module is used to construct a finite element parametric model of the rubber tube assembly using the measured mechanical performance data, rubber tube structural parameters and metal frame structural parameters.
  • the simulation module is used to obtain the temperature and pressure load of the rubber sleeve under the specific well completion and oil testing conditions of the study well, and to perform simulation analysis of the rubber sleeve combination finite element parameterized model under the temperature and pressure load in combination with the target rubber constitutive model, so as to obtain the simulation analysis results of the rubber sleeve.
  • the evaluation module is used to evaluate the sealing effect of the packer using the results of the rubber sleeve simulation analysis and output the evaluation results.
  • the optimization design module is used to determine the optimal design scheme of the packer based on the evaluation results, so as to design or optimize the packer for the research well.
  • a third aspect of the present invention provides a packer sleeve optimization design device, including a computing workstation.
  • the packer sleeve optimization design device described in the second aspect of the present invention is configured on the computing workstation, and the computing workstation is also configured with a database.
  • the packer sleeve optimization design device is communicatively connected to the database.
  • a finite element parameterized model of the packer assembly is assembled.
  • the finite element parameterized model of the packer assembly is simulated and analyzed.
  • the sealing effect of the packer is evaluated through the simulation analysis results to obtain an optimized design scheme for the packer. This guides the improvement of the existing packer in the study well or the manufacture of a packer that meets the needs of the study well based on the optimized design scheme.
  • the manufactured or improved packer can be used in ultra-deep and extra-deep wells under high temperature and high pressure conditions.
  • Figure 1 schematically illustrates a flowchart of a packer sleeve optimization design method according to an embodiment of the present invention
  • Figure 2 schematically illustrates the structural parameters of the glue-applying tube according to an embodiment of the present invention
  • Figure 4 schematically illustrates the structural parameters of the rubber tube according to an embodiment of the present invention
  • Figure 5 schematically illustrates the structural parameters of the lower rubber sleeve according to an embodiment of the present invention
  • Figure 6 schematically shows the measured uniaxial tensile curves of rubber materials in a specific application example
  • Figure 7 schematically shows the measured biaxial tensile curves of rubber materials in a specific application example
  • Figure 8 schematically illustrates a finite element parametric model of a rubber tube assembly according to an embodiment of the present invention
  • Figure 9 schematically illustrates the Mises stress distribution of the rubber sleeve assembly in a specific application example
  • Figure 10 schematically illustrates the contact stress distribution of the rubber sleeve assembly under different setting loads in a specific application example
  • Figure 11 schematically illustrates the composition block diagram of the packer sleeve optimization design device according to an embodiment of the present invention
  • Figure 12 schematically illustrates a functional block diagram of a packer sleeve optimization design device according to an embodiment of the present invention.
  • the embodiments of the present invention involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of the components in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indicators will also change accordingly.
  • directional indicators such as up, down, left, right, front, back, etc.
  • Step S100 Obtain measured data of the mechanical properties of the rubber sleeve material at the expected service temperature of the study well.
  • the aforementioned rubber sleeve material is the rubber material of the already applied packer sleeve; if the study well has not yet put a packer into use during the well completion and testing stage, the rubber sleeve material can be the rubber material selected based on the specific well completion and testing conditions of the study well.
  • the measured mechanical properties data of the rubber material include uniaxial tensile test data, biaxial tensile test data, high-temperature creep test data, and rubber resistance to aging under different media test data.
  • Step S200 Use the measured mechanical property data of the rubber material in the rubber sleeve to fit the rubber constitutive model, and determine the target rubber constitutive model based on the fitting results.
  • the measured mechanical properties data of rubber materials in rubber cylinders can be imported into the hyperelastic material module of finite element simulation software such as Abaqus to fit the rubber constitutive model. Based on the fitting results, an appropriate rubber constitutive model can be automatically selected, such as the Yeoh model, the Odgen model, or the Mooney-Rivlin model.
  • Step S300 Obtain the predetermined rubber sleeve structure parameters and the metal skeleton structure parameters within the packer for the study well. It should be understood that if a packer has already been applied to the study well, the corresponding rubber sleeve structure parameters and metal skeleton structure parameters can be obtained based on the applied packer. If the study well has not yet been put into use with a packer during the well completion and testing phase, the rubber sleeve structure parameters and metal skeleton structure parameters of the packer can be determined through selection or experience.
  • the metal skeleton within the packer includes a spring ring embedded at the end of the upper rubber sleeve, a spring ring embedded at the end of the lower rubber sleeve, a casing, a central tube, an upper rubber sleeve seat, and a lower rubber sleeve seat.
  • the structural parameters of the top glue cylinder include the inner diameter R0 , wall thickness T1 and T2 , inner diameter height T4 , outer diameter height T3 , distance T6 between the spring center point and the upper end face, distance T5 between the spring center point and the side face, and chamfers ⁇ 1 and ⁇ 2 .
  • a steel wire spring ring is embedded at the end of the top glue cylinder.
  • the structural parameters of this spring ring include the inner diameter of the ring.
  • Single-circle cross-section diameter wire diameter The structural parameters of the middle rubber sleeve include the inner diameter R3 , wall thickness M1 and M2 , height M3 and M4, middle section length M5 , chamfer ⁇ 1 to ⁇ 4, and groove arc R4 to R5 .
  • the structural parameters of the lower rubber sleeve include the inner diameter R6 , wall thickness D1 and D4 , height D2 and D3 , chamfer ⁇ 1 to ⁇ 2 , arc R7 , distance between the spring center point and the lower end face D6 , and distance between the spring center point and the side face D5.
  • a steel wire spring ring is embedded at the end of the lower rubber sleeve, and the structural parameters of this spring ring are the same as those of the spring ring embedded at the end of the upper rubber sleeve.
  • the structural parameters of the sleeve include the inner diameter.
  • the structural parameters of the center tube include the outer diameter.
  • the structural parameters of the upper rubber sleeve seat include the outer diameter.
  • the structural parameters of the lower glue cartridge seat include its outer diameter, etc.
  • Step S400 A finite element parametric model of the rubber cylinder assembly is constructed using measured data of the mechanical properties of the rubber material, the structural parameters of the rubber cylinder, and the structural parameters of the metal skeleton.
  • the structural model after the rubber cylinder and metal skeleton are assembled is referred to as the rubber cylinder assembly, as shown in Figure 8.
  • the measured mechanical properties of rubber materials, the structural parameters of the rubber cylinder, and the structural parameters of the metal skeleton can be imported as input parameters into finite element simulation software such as Abaqus to assemble a three-dimensional parametric model of the rubber cylinder assembly.
  • the boundary conditions of the finite element parameterized model of the rubber sleeve assembly include: the sleeve is set to be fixed; the central tube is set to have a lower end and radial displacement constraints; during injection operations, the upper rubber sleeve seat is set to be fixed, and the lower rubber sleeve is set to have radial displacement constraints and no axial constraints, and the lower rubber sleeve is squeezed under pressure; during oil testing operations, the lower rubber sleeve seat is set to be fixed, and the upper rubber sleeve is set to have radial displacement constraints and no axial constraints, and the lower rubber sleeve is squeezed under pressure.
  • the contact relationships between the upper and middle rubber sleeves, between the middle and lower rubber sleeves, between the upper and central tubes, between the middle and central tubes, between the lower and central tubes, between the upper and upper rubber sleeve seat, and between the lower rubber sleeve and lower rubber sleeve seat are established in the finite element parameterized model of the rubber sleeve assembly.
  • the interactions between the contact surfaces include: the normal action of the contact surfaces, the tangential action of the contact surfaces, and the sliding friction coefficient between the tangential contact surfaces.
  • step S500 the temperature load and pressure load of the rubber sleeve under the specific well completion and oil testing conditions of the study well are obtained, and the simulation analysis of the rubber sleeve combination finite element parameterized model under the temperature load and pressure load is carried out in combination with the target rubber constitutive model to obtain the simulation analysis results of the rubber sleeve.
  • finite element simulation software such as Abaqus is used to simulate and analyze the finite element parametric model of the rubber sleeve assembly.
  • the model simulates the setting, stabilization, and unsealing behavior of the rubber sleeve assembly under specific well completion and testing conditions in the study well.
  • the working performance parameters of the rubber sleeve assembly under temperature and pressure loads are solved, and the mutual influence between the input parameters is analyzed.
  • the Mises stress distribution of the rubber sleeve assembly and the contact stress distribution of the rubber sleeve assembly under different setting loads are obtained.
  • Step S600 Evaluate the sealing effect of the packer using the simulation analysis results of the rubber sleeve, and output the evaluation results.
  • the sealing effect of the packer is evaluated based on the performance evaluation index of the packer generated from the packer simulation analysis results.
  • the performance evaluation indicators for the packer sleeve can reflect the sleeve's performance from one or more dimensions, such as whether the equivalent stress of the sleeve and metal frame after packer setting meets the requirements, and whether the packer can effectively isolate the upper and lower pressures.
  • the performance evaluation indicators for the packer sleeve include at least one of a stress allowance indicator and a contact stress indicator. The stress allowance indicator is used to evaluate whether the maximum value of the equivalent stress of the sleeve and metal frame after packer setting is within a preset range.
  • the contact stress indicator is used to evaluate whether the contact stress between the sleeve and the sleeve is greater than the gas leakage pressure on either side, ensuring that upper or lower gas leakage cannot pass through the contact surface between the sleeve and the sleeve.
  • the performance evaluation indicators for the packer sleeve include both the stress allowance indicator and the contact stress indicator.
  • the contact stress index includes at least one of surface pressure, packer compression ratio, and sealing coefficient.
  • the contact stress index incorporates three dimensions: surface pressure, packer compression ratio, and sealing coefficient.
  • Surface pressure is defined as the contact stress on a closed surface formed by several closed curves;
  • packer compression ratio is defined as the ratio of the axial compression of the packer packer under normal operating conditions to its axial length before compression;
  • sealing coefficient is defined as the product of the contact stress between the packer and the wellbore and the contact area between the packer and the wellbore.
  • Step S700 Based on the evaluation results, an optimized design scheme for the rubber sleeve is determined for use in the design or optimization of the packer in the research well.
  • the optimized design scheme provides a theoretical basis for the design, improvement, and optimization of the rubber sleeve structure and materials.
  • this embodiment of the invention provides a packer rubber sleeve optimization design method, which differs from the first embodiment in that: the performance of the rubber material under the temperature medium conditions of the research well is analyzed, and the results of the rubber material performance analysis are incorporated into the evaluation of the packer's sealing effect. Specifically, it includes the following specific implementation steps:
  • Step SS100 involves obtaining measured data on the mechanical properties of the rubber material in the rubber sleeve at the expected service temperature of the study well. Step SS100 is the same as step S100.
  • Step SS200 involves fitting a rubber constitutive model using measured data of the mechanical properties of the rubber material in the rubber sleeve, and determining the target rubber constitutive model based on the fitting results. Step SS200 is the same as step S200.
  • Step SS300 Obtain the pre-determined structural parameters of the packer casing and the metal skeleton within the packer. Step SS300 is the same as step S300.
  • Step SS400 involves constructing a finite element parametric model of the rubber cylinder assembly using measured data of the mechanical properties of the rubber material, the structural parameters of the rubber cylinder, and the structural parameters of the metal skeleton. Step SS400 is the same as step S400.
  • Step SS500 involves obtaining the temperature and pressure loads on the rubber sleeve under the specific completion and testing conditions of the study well. A finite element parametric model of the rubber sleeve assembly under these temperature and pressure loads is then used in conjunction with the target rubber constitutive model to perform simulation analysis, yielding the simulation analysis results. Step SS500 is the same as step S500.
  • Step SS600 involves analyzing the performance of the rubber material under the temperature medium conditions of the research well, and obtaining the performance analysis results of the rubber material.
  • Step SS700 evaluates the sealing effect of the packer based on the rubber material performance analysis results and the rubber cylinder simulation analysis results, and outputs the evaluation results.
  • the evaluation indicators for assessing the sealing effect of the packer include rubber performance evaluation indicators and rubber sleeve performance evaluation indicators.
  • rubber performance evaluation indicators can reflect the properties of rubber from one or more dimensions.
  • rubber performance evaluation indicators correspond to the dimensions of rubber material performance analysis.
  • rubber performance evaluation indicators may include one or more of the following: hardness, tensile strength, elongation at break, 50% tensile modulus, permanent compression set, visual inspection, and rapid gas decompression.
  • rubber performance evaluation indicators include seven dimensions: hardness, tensile strength, elongation at break, 50% tensile modulus, permanent compression set, visual inspection, and rapid gas decompression.
  • the performance evaluation indicators for the packer sleeve can reflect the sleeve's performance from one or more dimensions, such as whether the equivalent stress of the sleeve and metal frame after packer setting meets the requirements, and whether the packer can effectively isolate the upper and lower pressures.
  • the performance evaluation indicators for the packer sleeve include at least one of a stress allowance indicator and a contact stress indicator. The stress allowance indicator is used to evaluate whether the maximum value of the equivalent stress of the sleeve and metal frame after packer setting is within a preset range.
  • the contact stress indicator is used to evaluate whether the contact stress between the sleeve and the sleeve is greater than the gas leakage pressure on either side, ensuring that upper or lower gas leakage cannot pass through the contact surface between the sleeve and the sleeve.
  • the performance evaluation indicators for the packer sleeve include both the stress allowance indicator and the contact stress indicator.
  • an improved embodiment introduces surface pressure, sleeve compressibility, and sealing coefficient into the contact stress index.
  • Surface pressure is defined as the contact stress on a closed surface formed by several closed curves;
  • sleeve compressibility is defined as the ratio of the axial compression of the packer sleeve under normal operating conditions to its axial length before compression;
  • the sealing coefficient is defined as the product of the contact stress between the sleeve and the wellbore and the contact area between the sleeve and the wellbore.
  • the contact stress index includes three dimensions: surface pressure, sleeve compressibility, and sealing coefficient.
  • Step SS800 Determine the optimized design scheme of the packer based on the evaluation results, so as to design or optimize the packer for the study well.
  • the sealing effect of the packer is evaluated by combining the rubber performance evaluation index and the rubber sleeve performance evaluation index, thereby improving the accuracy of the packer rubber sleeve optimization design.
  • Figure 1 is a flowchart illustrating the packer sleeve optimization design method in one embodiment. It should be understood that although the steps in the flowchart of Figure 1 are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Furthermore, at least some of the steps in Figure 1 may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least a portion of the sub-steps or stages of other steps.
  • An embodiment of the present invention provides a packer cartridge optimization design device 400, comprising a first acquisition module 410, a first determination module 412, a second acquisition module 414, a model building module 416, a simulation module 418, an evaluation module 420, and an optimization design module 422.
  • Each module can be applied in a computing device including a memory and a processor.
  • the first acquisition module 410 is used to acquire measured data of the mechanical properties of the rubber material of the rubber sleeve at the expected service temperature of the research well;
  • the first determining module 412 is used to fit the rubber constitutive model using the measured mechanical property data, and to determine the target rubber constitutive model based on the fitting results.
  • the second acquisition module 414 is used to acquire the predetermined structural parameters of the rubber sleeve and the structural parameters of the metal skeleton inside the packer.
  • Model building module 416 is used to build a finite element parameterized model of the rubber tube assembly using the measured mechanical performance data, rubber tube structural parameters and metal frame structural parameters;
  • the simulation module 418 is used to obtain the temperature and pressure load determined according to the specific well completion and oil testing conditions of the rubber sleeve in the study well, and to perform simulation analysis of the rubber sleeve combination finite element parameterized model under the temperature and pressure load in combination with the target rubber constitutive model, so as to obtain the simulation analysis results of the rubber sleeve.
  • Evaluation module 420 is used to evaluate the sealing effect of the packer using the results of the rubber sleeve simulation analysis and output the evaluation results;
  • the optimization design module 422 is used to determine the optimization design scheme of the packer based on the evaluation results, so as to design or optimize the packer of the research well.
  • the device further includes an analysis module 419 for analyzing the performance of the rubber material under the temperature medium conditions of the research well, and obtaining the performance analysis results of the rubber material.
  • the evaluation module 420 is also used to evaluate the sealing effect of the packer using the performance analysis results of the rubber material, and output the evaluation results.
  • the measured mechanical properties data include uniaxial tensile test data, biaxial tensile test data, high-temperature creep test data of rubber, and rubber resistance to aging under different media test data.
  • the rubber sleeve structural parameters include upper rubber sleeve structural parameters, middle rubber sleeve structural parameters, and lower rubber sleeve structural parameters
  • the metal skeleton structural parameters include spring ring structural parameters embedded at the end of the upper rubber sleeve, spring ring structural parameters embedded at the end of the lower rubber sleeve, sleeve structural parameters, central tube structural parameters, upper rubber sleeve seat structural parameters, and lower rubber sleeve seat structural parameters.
  • Boundary conditions include: the casing is set to fixed; the central tube is set to lower end and radial displacement constraint; during injection operation, the upper rubber sleeve seat is set to fixed, the lower rubber sleeve is set to radial displacement constraint and axial unconstrained, and the lower rubber sleeve is squeezed under pressure; during oil testing operation, the lower rubber sleeve seat is set to fixed, the upper rubber sleeve is set to radial displacement constraint and axial unconstrained, and the lower rubber sleeve is squeezed under pressure.
  • the contact relationships include those between the upper and middle rubber tubes, between the middle and lower rubber tubes, between the upper rubber tube and the central tube, between the middle rubber tube and the central tube, between the lower rubber tube and the central tube, between the upper rubber tube and the upper rubber tube seat, and between the lower rubber tube and the lower rubber tube seat.
  • the interaction between the contact surfaces includes the normal action of the contact surfaces, the tangential action of the contact surfaces, and the coefficient of sliding friction between the tangential contact surfaces.
  • the simulation analysis results of the rubber sleeve include the Mises stress distribution of the rubber sleeve assembly and the contact stress distribution of the rubber sleeve assembly under different setting loads.
  • the evaluation indicators for assessing the sealing effect of the packer include rubber performance evaluation indicators and rubber sleeve performance evaluation indicators.
  • the rubber performance evaluation indicators include at least one of hardness, tensile strength, elongation at break, 50% tensile modulus, permanent compression set, visual inspection, and rapid gas decompression.
  • the performance evaluation indicators for the rubber sleeve include at least one of stress tolerance indicators and contact stress indicators.
  • the stress tolerance indicator is used to evaluate whether the maximum value of the equivalent stress of the rubber sleeve and metal skeleton after the packer is set is within a preset range.
  • the contact stress indicator is used to evaluate whether the contact stress between the rubber sleeve and the sleeve is greater than the gas leakage pressure on either side, ensuring that upper or lower gas leakage cannot pass through the contact surface between the rubber sleeve and the sleeve.
  • the contact stress index includes at least one of surface pressure, packer compression ratio, and sealing coefficient.
  • Surface pressure represents the contact stress on a closed surface formed by several closed curves.
  • Packer compression ratio represents the ratio of the axial compression of the packer packer packer under normal working conditions to its axial length before compression.
  • Sealing coefficient represents the product of the contact stress between the packer packer and the well wall and the contact area between the packer packer and the well wall.
  • the device embodiments described above are merely illustrative.
  • the units described as separate components may or may not be physically separate.
  • the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.
  • This invention provides a packer sleeve optimization design device, including a computing workstation.
  • the packer sleeve optimization design device and database implemented in the above embodiment are configured on the computing workstation, and the database is communicatively connected to the packer sleeve optimization design device.
  • the database stores data including measured data of the mechanical properties of rubber materials.
  • a high-performance computing workstation is selected to improve the efficiency of packer sleeve optimization design.
  • a visual, automated design application for high-temperature, high-pressure removable packer cartridges was developed using computer-aided design, such as Python, and defined as an automated design simulator for high-temperature, high-pressure removable packer cartridges.
  • This simulator is integrated with Abaqus finite element analysis software, specifically referring to:
  • the simulator acquires measured mechanical property data of rubber sleeve materials at the expected service temperature of the research well, and provides a visualization window for users to input measured mechanical property data of rubber sleeve materials obtained through actual testing.
  • the measured mechanical property data of the rubber material in the rubber sleeve are imported into the hyperelastic material module of the Abaqus finite element analysis software.
  • the Abaqus finite element analysis software then performs rubber constitutive model fitting and automatically selects a suitable rubber constitutive model based on the fitting results.
  • the simulator In addition to the measured mechanical properties of the rubber material of the rubber sleeve, the simulator also acquires the rubber sleeve structure parameters and the metal skeleton structure parameters inside the packer of the research well predetermined by the user. That is, it provides a visualization window for the user to input the predetermined rubber sleeve structure parameters and the metal skeleton structure parameters inside the packer of the research well.
  • the structural parameters of the rubber tube and the structural parameters of the metal skeleton inside the packer are obtained and imported into the Abaqus finite element analysis software as input parameters.
  • the simulator also learns about the temperature and pressure loads of the rubber sleeve under the specific completion and testing conditions of the study well. It provides a visualization window for users to input the temperature and pressure loads. Through communication between the simulator and the Abaqus finite element analysis software, the acquired temperature and pressure loads are imported into the Abaqus finite element analysis software as input parameters.
  • a parametric finite element model of the rubber tube assembly was constructed using Abaqus finite element analysis software
  • the finite element parametric model of the rubber tube assembly was simulated and analyzed using Abaqus finite element analysis software. Specifically, the setting, sealing, and unsealing behavior of the rubber tube assembly under temperature and pressure loads was simulated, and the simulation analysis results of the rubber tube were output and transferred to the simulator.
  • This simulator analyzes the performance of rubber materials under the temperature and medium conditions of the research well, obtains the performance analysis results of the rubber materials, and evaluates the sealing effect of the packer based on the performance analysis results of the rubber materials and the simulation analysis results of the rubber sleeve.
  • the evaluation results are then output, and the optimized design scheme of the rubber sleeve is determined based on the evaluation results for the design or optimization of the packer in the research well.
  • a visualization window can be provided so that users can determine the optimized design scheme of the rubber sleeve based on the visualized evaluation results.
  • the simulator can combine expert experience and other factors to automatically recommend the optimized design scheme of the rubber sleeve based on the visualized evaluation results.
  • the simulator executes step SS100 in method embodiment two through the first acquisition module 410, step SS300 through the second acquisition module 414, step SS600 through the analysis module 419, step SS700 through the evaluation module 420, and step SS800 through the optimization design module 422.
  • the Abaqus finite element analysis software executes step SS200 through the first determination module 412, step SS400 through the model building module 416, and step SS500 through the simulation module 418.
  • the database used is SQL Server.
  • the packer sleeve optimization design equipment implemented in the above embodiments by combining computer-aided design and finite element simulation analysis tools, can quickly complete the construction of finite element parametric models of the sleeve combination, simulation analysis calculation and sealing effect evaluation, which improves the efficiency of packer sleeve optimization design and is simple to operate. At the same time, thanks to the high-performance computing workstation and database, it is also easy to expand its functions.
  • the packer sleeve optimization design equipment described in the above embodiment is used to optimize the design of the high-temperature, high-pressure retrievable packer sleeve required for the target well.
  • the specific optimization design process is as follows:
  • Step A1 Start the high-performance computing workstation and configure the necessary supporting software, including the high-temperature and high-pressure removable packer cartridge automated design application, Abaqus finite element analysis software, and SQL Server.
  • Step A2 Input the measured mechanical properties of the rubber material of the packer at the expected service temperature of the study well, the pre-determined structural parameters of the packer and the structural parameters of the metal skeleton inside the packer, and the temperature and pressure loads determined by the specific well completion and oil testing conditions of the packer in the study well. All of these are then transmitted as input parameters to the Abaqus finite element analysis software.
  • Step A3 In the component module of the Abaqus finite element analysis software, call the 3D solid rotation modeling function module to create the rubber cylinder and spring ring.
  • the created rubber cylinder and spring ring are shown in Figures 2 to 5.
  • the Line function is used to draw straight lines
  • the FilletByRadius function is used to draw chamfers
  • the ConstructionLine function is used to determine the angles of the rubber cylinder cross-section, such as ⁇ 1 , ⁇ 2 , etc.
  • the coordinates of the spatial points on the spring ring are determined using cylindrical coordinate functions, and then these spatial points are connected using the WireSpline spline function to form a smooth spatial curve. Finally, the BeamSection function is used to give the spatial curve profile features, generating the spring ring.
  • Step A4 In the component module of the Abaqus finite element analysis software, call the EmbeddedRegion function to embed the spring rings into the ends of the upper and lower rubber cylinders respectively.
  • Step A5 In the component module of the Abaqus finite element analysis software, fit the rubber constitutive model using the measured mechanical property data of the rubber material to determine the key parameters of the rubber constitutive model.
  • the uniaxial tensile test curves from the measured mechanical property data of the rubber material are shown in Figure 6, and the iso-biaxial tensile test curves from the measured mechanical property data of the rubber material are shown in Figure 7.
  • Step A6 In the component module of the Abaqus finite element analysis software, establish a parametric finite element model of the rubber sleeve assembly.
  • the assembly structure of this parametric finite element model is shown in Figure 8, including an upper rubber sleeve, a spring ring embedded in the end of the upper rubber sleeve, a middle rubber sleeve, a lower rubber sleeve, a spring ring embedded in the end of the lower rubber sleeve, a central tube, a sleeve, an upper rubber sleeve seat, and a lower rubber sleeve seat.
  • the boundary conditions of the parametric finite element model of the rubber sleeve assembly include: the sleeve is set to fixed; the central tube is set to lower end and radial displacement constraint; during injection operations, the upper rubber sleeve seat is set to fixed, the lower rubber sleeve is set to radial displacement constraint and axial unconstrained, and the lower rubber sleeve is squeezed under pressure; during oil testing operations, the lower rubber sleeve seat is set to fixed, the upper rubber sleeve is set to radial displacement constraint and axial unconstrained, and the lower rubber sleeve is squeezed under pressure.
  • the contact relationships between the upper rubber tube and the middle rubber tube, between the middle rubber tube and the lower rubber tube, between the upper rubber tube and the central tube, between the middle rubber tube and the central tube, between the lower rubber tube and the central tube, between the upper rubber tube and the upper rubber tube seat, and between the lower rubber tube and the lower rubber tube seat are established.
  • the interaction between the contact surfaces includes: the normal action of the contact surface, the tangential action of the contact surface, and the sliding friction coefficient between the tangential contact surfaces.
  • Step A7 Submit the job and perform calculations and analyses for packer cartridge setting, pressure stabilization, and desealing.
  • Step A8 Evaluate the results of the rubber material performance analysis and the packer sleeve simulation analysis.
  • the packer sleeve simulation analysis results include the Mises stress distribution of the packer sleeve assembly and the contact stress distribution diagrams of the packer sleeve assembly under different setting loads, as shown in Figures 9 and 10.
  • Step A9 Determine the optimized design scheme for the packer sleeve based on the evaluation results. Use this optimized design scheme to design or improve the packer sleeve required for the target well.
  • embodiments of the present invention also provide a machine-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the packer cartridge optimization design method described in Embodiment 1 or 2 above.
  • the packer sleeve optimization design apparatus 400 provided by the present invention can be implemented as a computer program, which can run on a computer device as shown in FIG. 12.
  • the memory of the computer device can store the various program modules constituting the packer sleeve optimization design apparatus 400.
  • the computer program composed of the various program modules, causes the processor to execute the steps in the packer sleeve optimization design method described in this specification.
  • This invention also provides a computer program product that, when executed on a data processing device, is suitable for executing a program that initializes the following method steps:
  • the measured mechanical property data are used to fit a rubber constitutive model, and the target rubber constitutive model is determined based on the fitting results.
  • a finite element parameterized model of the rubber sleeve assembly was constructed using the measured mechanical property data, the structural parameters of the rubber sleeve, and the structural parameters of the metal frame.
  • the temperature and pressure load of the rubber sleeve under the specific well completion and oil testing conditions of the study well were obtained.
  • the simulation analysis of the rubber sleeve combination finite element parameterized model under the temperature and pressure load was carried out in combination with the target rubber constitutive model, and the simulation analysis results of the rubber sleeve were obtained.
  • the sealing effect of the packer is evaluated using the simulation analysis results of the rubber sleeve, and the evaluation results are output.

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Abstract

本发明提供一种封隔器胶筒优化设计方法、装置、设备及存储介质，属于油气井工程试油完井技术领域。方法包括：获取胶筒橡胶材料在研究井预期服役温度下的力学性能实测数据；进行橡胶本构模型拟合，并根据拟合结果确定目标橡胶本构模型；获取研究井胶筒结构参数和金属骨架结构参数；构建胶筒组合有限元参数化模型；获悉在研究井的具体完井试油工况下胶筒的温度和压力载荷，进行该温度和压力载荷下胶筒组合有限元参数化模型的仿真分析，得到胶筒模拟分析结果；利用胶筒模拟分析结果对封隔器的密封效果进行评价；根据评价结果确定胶筒的优化设计方案。通过上述方法，实现了耐高温高压的封隔器胶筒优化设计，满足超深和特深井的应用需求。

Description

封隔器胶筒优化设计方法、装置、设备及存储介质
相关申请的交叉引用
本申请要求2024年06月04日提交的中国专利申请202410717971.1的权益，该申请的内容通过引用被合并于本文。
技术领域
本发明属于油气井工程试油完井技术领域，具体地涉及一种封隔器胶筒优化设计方法、一种封隔器胶筒优化设计装置、一种封隔器胶筒优化设计设备和一种机器可读存储介质。
背景技术
西北与西南地区是我国超深井的主要分布地区，特别是中国2口万米科探井深地塔科1井和深地川科1井，预计井下温度都将超过230℃。特深地层具有超高温、高压、流体含腐蚀等特点，给试油测试作业带来了极大的挑战。封隔器是超深和特深井试油测试作业的关键井下工具，而胶筒是封隔器中的核心部件和薄弱部件，其主要失效形式表现为橡胶老化引起的弹性下降、胶筒龟裂、压差过大引起的肩突撕裂等。目前国内高温高压井所用胶筒主要使用进口的哈里伯顿和斯伦贝谢产品，亟需提升国产高温高压可取式封隔器胶筒的研制能力。在封隔器胶筒研制过程中，主要采用有限元数值模拟技术分析胶筒井下密封性能的力学变化规律，对于优化胶筒结构设计、促进橡胶材料改进以及提升我国封隔器胶筒的自主研发能力具有重要意义。
影响封隔器胶筒密封性能的关键因素主要有胶筒的结构尺寸、材料参数、摩擦系数、弹簧材料与直径、弹簧圈的直径与空间位置、套管尺寸、油管尺寸以及工作环境等。只有综合考虑影响胶筒性能的各种因素，才能对胶筒受力有一个准确的分析。为提高胶筒研制能力和效率，经调研发现，部分学者应用有限元方法开发了封隔器胶筒工作行为仿真优化软件，这些仿真优化软件能够模拟胶筒在高温高压下的密封过程，并评价密封效果，优化胶筒结构参数，提高胶筒综合性能，但是所构建的胶筒有限元参数化模型均未考虑金属骨架的作用，金属骨架是指封隔器内的钢件，例如套管、中心管等，因此只适用于温度和压差都不大的胶筒优化设计，使得研制出的胶筒无法满足超深和特深井试油测试作业的需求。
综上所述，为满足耐高温高压的封隔器胶筒研制需求，亟需开发一种考虑金属骨架作用的胶筒优化方法及平台。
发明内容
本发明实施例的目的是提供一种封隔器胶筒优化设计方法、一种封隔器胶筒优化设计装置、一种封隔器胶筒优化设计设备和一种机器可读存储介质，用以克服现有技术中，基于传统封隔器胶筒研制方法所获得的封隔器胶筒无法适用于超深和特深井高温高压条件下的试油测试作业需求的技术问题。
为了实现上述目的，本发明实施例的第一方面提供一种封隔器胶筒优化设计方法，所述方法包括：
获取胶筒橡胶材料在研究井预期服役温度下的力学性能实测数据；
利用所述力学性能实测数据进行橡胶本构模型拟合，并根据拟合结果确定目标橡胶本构模型；
获取预先确定的研究井胶筒结构参数以及封隔器内的金属骨架结构参数；
利用所述力学性能实测数据、胶筒结构参数和金属骨架结构参数构建出胶筒组合有限元参数化模型；
获悉在研究井的具体完井试油工况下胶筒的温度和压力载荷，并结合目标橡胶本构模型进行所述温度和压力载荷下胶筒组合有限元参数化模型的仿真分析，得到胶筒模拟分析结果；
利用胶筒模拟分析结果对封隔器的密封效果进行评价，输出评价结果；
根据评价结果确定胶筒的优化设计方案，以用于对研究井封隔器进行设计或优化。
本发明实施例的第二方面提供一种封隔器胶筒优化设计装置，所述装置包括：
第一获取模块，用于获取胶筒橡胶材料在研究井预期服役温度下的力学性能实测数据；
第一确定模块，用于利用所述力学性能实测数据进行橡胶本构模型拟合，并根据拟合结果确定目标橡胶本构模型；
第二获取模块，用于获取预先确定的研究井胶筒结构参数以及封隔器内的金属骨架结构参数；
模型构建模块，用于利用所述力学性能实测数据、胶筒结构参数和金属骨架结构参数构建出胶筒组合有限元参数化模型；
模拟仿真模块，用于获悉在研究井的具体完井试油工况下胶筒的温度和压力载荷，并结合目标橡胶本构模型进行所述温度和压力载荷下胶筒组合有限元参数化模型的仿真分析，得到胶筒模拟分析结果；
评价模块，用于利用胶筒模拟分析结果对封隔器的密封效果进行评价，输出评价结果；
优化设计模块，用于根据评价结果确定胶筒的优化设计方案，以用于对研究井封隔器进行设计或优化。
本发明实施例的第三方面提供一种封隔器胶筒优化设计设备，包括计算工作站，本发明实施例的第二方面所述的封隔器胶筒优化设计装置被配置在计算工作站上，所述计算工作站还配置有数据库，所述封隔器胶筒优化设计装置与所述数据库通信连接。
本发明实施例的第四方面提供一种机器可读存储介质，其上存储有计算机程序，所述计算机程序被处理器执行时实现本发明实施例的第一方面所述的封隔器胶筒优化设计方法。
上述技术方案中，通过考虑金属骨架，装配出胶筒组合有限元参数化模型，并结合胶筒在研究井的预期服役温度下的力学性能实测数据、研究井已有或已预先确定的胶筒结构参数和金属骨架结构参数、在研究井具体完井试油工况下的胶筒温度载荷和压力载荷，对胶筒组合有限元参数化模型进行仿真分析，并通过仿真分析结果对封隔器的密封效果进行评价，以得出胶筒的优化设计方案，从而指导研究井已有的胶筒的改良或根据该优化设计方案制成符合研究井需求的胶筒，制成的胶筒或改良后的胶筒能够适用于高温高压条件下的特深和超深井。
本发明实施例的其它特征和优点将在随后的具体实施方式部分予以详细说明。
附图说明
附图是用来提供对本发明实施例的进一步理解，并且构成说明书的一部分，与下面的具体实施方式一起用于解释本发明实施例，但并不构成对本发明实施例的限制。在附图中：
图1示意性示出了根据本发明实施例的封隔器胶筒优化设计方法的流程图；
图2示意性示出了根据本发明实施例的上胶筒结构参数示意图；
图3示意性示出了根据本发明实施例的弹簧环结构参数示意图；
图4示意性示出了根据本发明实施例的中胶筒结构参数示意图；
图5示意性示出了根据本发明实施例的下胶筒结构参数示意图；
图6示意性示出了具体应用实例中橡胶材料单轴拉伸实测曲线图；
图7示意性示出了具体应用实例中橡胶材料等双轴拉伸实测曲线图；
图8示意性示出了根据本发明实施例的胶筒组合有限元参数化模型示意图；
图9示意性示出了具体应用实例中胶筒组合Mises应力分布图；
图10示意性示出了具体应用实例中胶筒组合在不同坐封载荷下的接触应力分布图；
图11示意性示出了根据本发明实施例的封隔器胶筒优化设计装置的组成框图；
图12示意性示出了根据本发明实施例的封隔器胶筒优化设计设备的功能框图。
具体实施方式
为使本发明实施例的目的、技术方案和优点更加清楚，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，应当理解的是，此处所描述的具体实施方式仅用于说明和解释本发明实施例，并不用于限制本发明实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动的前提下所获得的所有其他实施例，都属于本发明保护的范围。
需要说明，若本发明实施例中有涉及方向性指示(诸如上、下、左、右、前、后……)，则该方向性指示仅用于解释在某一特定姿态(如附图所示)下各部件之间的相对位置关系、运动情况等，如果该特定姿态发生改变时，则该方向性指示也相应地随之改变。
另外，若本发明实施例中有涉及“第一”、“第二”等的描述，则该“第一”、“第二”等的描述仅用于描述目的，而不能理解为指示或暗示其相对重要性或者隐含指明所指示的技术特征的数量。由此，限定有“第一”、“第二”的特征可以明示或者隐含地包括至少一个该特征。另外，各个实施例之间的技术方案可以相互结合，但是必须是以本领域普通技术人员能够实现为基础，当技术方案的结合出现相互矛盾或无法实现时应当认为这种技术方案的结合不存在，也不在本发明要求的保护范围之内。
方法实施例一
本发明实施例提供一种封隔器胶筒优化设计方法，包括如下实施步骤：
步骤S100，获取胶筒橡胶材料在研究井预期服役温度下的力学性能实测数据。例如：若研究井存在已应用的封隔器，上述胶筒橡胶材料为已应用封隔器胶筒的橡胶材料，若研究井还未在完井试油阶段投入使用封隔器，则胶筒橡胶材料可为根据研究井的具体完井试油工况对橡胶材料进行选型所确定的橡胶材料。
在一个具体实施例中，橡胶材料的力学性能实测数据包括单轴拉伸实测数据、双轴拉伸实测数据、橡胶高温蠕变实测数据和橡胶耐介质老化实测数据。
步骤S200，利用胶筒橡胶材料的力学性能实测数据进行橡胶本构模型拟合，并根据拟合结果确定目标橡胶本构模型。
例如：将胶筒橡胶材料的力学性能实测数据导入到诸如Abaqus等有限元仿真软件的超弹性材料模块中，进行橡胶本构模型的拟合，根据拟合结果自动选择合适的橡胶本构模型，例如：Yeoh模型、Odgen模型、Mooney-Rivlin模型等。
步骤S300，获取预先确定的研究井的胶筒结构参数以及封隔器内的金属骨架结构参数。应当理解的是，若研究井存在已应用的封隔器，根据已应用的封隔器可获知对应的胶筒结构参数和金属骨架结构参数，若研究井还未在完井试油阶段投入使用封隔器，则可将通过选型或经验确定封隔器的胶筒结构参数和金属骨架结构参数。本实施例中，封隔器内的金属骨架包括嵌设在上胶筒端部的弹簧环、嵌设在下胶筒端部的弹簧环、套管、中心管、上胶筒座和下胶筒座。相应地，如图2至图5所示，上胶筒的结构参数包括上胶筒内径R0、上胶筒壁厚T1和T2、上胶筒内径高度T4、上胶筒外径高度T3、弹簧中心点与上端面距离T6、弹簧中心点与侧面距离T5、倒角α1和α2等。上胶筒端部嵌入钢丝弹簧环，该弹簧环的结构参数包括环形内径单圈截面直径钢丝直径和弹簧圈数n等。中胶筒的结构参数包括中胶筒内径R3、中胶筒壁厚M1和M2、中胶筒高度M3和M4、中胶筒中段长度M5、中胶筒倒角β1～β4、沟槽圆弧R4～R5等。下胶筒的结构参数包括下胶筒内径R6、下胶筒壁厚D1和D4、胶筒高度D2和D3、胶筒倒角γ1～γ2、圆弧R7、弹簧中心点与下端面距离D6、弹簧中心点与侧面距离D5等，下胶筒端部嵌入钢丝弹簧环，该弹簧环的结构参数同上胶筒端部嵌入的弹簧环。套管的结构参数包括套管内径等。中心管的结构参数包括中心管外径等。上胶筒座的结构参数包括上胶筒座外径等。下胶筒座的结构参数包括下胶筒座外径等。
步骤S400，利用橡胶材料的力学性能实测数据、胶筒结构参数和金属骨架结构参数构建出胶筒组合有限元参数化模型。以下记载内容中，将胶筒和金属骨架装配后的结构模型称为胶筒组合，如图8所示。
例如：将橡胶材料的力学性能实测数据、胶筒结构参数和金属骨架结构参数作为输入参数导入到Abaqus等有限元仿真软件中，装配出胶筒组合的三维参数化模型。
在一个具体实施例中，胶筒组合有限元参数化模型的边界条件包括：套管设置为固定；中心管设置为下端部和径向位移约束；当注入作业时，上胶筒座设置为固定，下胶筒设置为径向位移约束且轴向无约束，在压力作用下挤压下胶筒；当试油作业时，下胶筒座设置为固定，上胶筒设置为径向位移约束且轴向无约束，在压力作用下挤压下胶筒。在胶筒组合有限元参数化模型中建立上胶筒与中胶筒之间、中胶筒与下胶筒之间、上胶筒与中心管、中胶筒与中心管、下胶筒与中心管、上胶筒与上胶筒座、下胶筒与下胶筒座之间的接触关系，接触面之间的相互作用包括：接触面的法向作用、接触面的切向作用、切向接触面间的滑动摩擦系数。
步骤S500，获悉在研究井的具体完井试油工况下胶筒的温度载荷和压力载荷，并结合目标橡胶本构模型进行该温度载荷和压力载荷下胶筒组合有限元参数化模型的仿真分析，得到胶筒模拟分析结果。
例如：利用Abaqus等有限元仿真软件对胶筒组合有限元参数化模型进行仿真分析，模拟胶筒组合有限元参数化模型在研究井的具体完井试油工况下的坐封、稳压和解封工作行为，求解出胶筒组合在温度载荷和压力载荷下的工作性能参数，分析出各输入参数之间的相互影响规律，从而得到胶筒组合Mises应力分布和在不同坐封载荷下胶筒组合接触应力分布。
步骤S600，利用胶筒模拟分析结果对封隔器的密封效果进行评价，输出评价结果。
在一个具体实施例中，根据胶筒模拟分析结果生成的胶筒性能评价指标对封隔器的密封效果进行评价。
需要理解的是，胶筒性能评价指标可从封隔器坐封后胶筒及金属骨架的等效应力是否符合要求、封隔器是否能够绝对有效地封隔上下部压力等一个或多个维度去反应胶筒的性能。相应地，在一个具体实施例中，胶筒性能评价指标包括应力许可指标和接触应力指标中的至少一种，应力许可指标用于评价封隔器坐封后胶筒及金属骨架的等效应力的最大值是否在预设范围内，接触应力指标用于评价胶筒和套管之间的接触应力是否大于任何一侧的气窜压力，保证上部或下部气窜不能够通过胶筒与套管的接触面。作为一种预选，胶筒性能评价指标包括应力许可指标和接触应力指标两个维度。
基于上述实施例，接触应力指标包括面压、胶筒压缩率和密封性系数中的至少一种。为更加全面的评价胶筒性能，在一个改进实施例中，接触应力指标中引入了面压、胶筒压缩率和密封性系数三个维度，面压定义为若干封闭曲线形成的封闭曲面上的接触应力，胶筒压缩率定义为封隔器胶筒在正常工作状态条件下的轴向压缩量和压缩前轴向长度之比，密封性系数定义为胶筒与井壁接触应力、胶筒与井壁接触面积的乘积。
步骤S700，根据评价结果确定胶筒的优化设计方案，以用于对研究井封隔器进行设计或优化。优化设计方案为胶筒结构设计、胶筒结构改良、胶筒橡胶材料优化等提供了理论依据。
方法实施例二
参阅图1，本发明实施例提供一种封隔器胶筒优化设计方法，与方法实施例一的区别在于：对橡胶材料在研究井温度介质条件下的性能进行分析，并将橡胶材料性能分析结果引入封隔器的密封效果评价中，具体地，包括以下具体实施步骤：
步骤SS100，获取胶筒橡胶材料在研究井预期服役温度下的力学性能实测数据。步骤SS100同步骤S100。
步骤SS200，利用胶筒橡胶材料的力学性能实测数据进行橡胶本构模型拟合，并根据拟合结果确定目标橡胶本构模型。步骤SS200同步骤S200。
步骤SS300，获取预先确定的研究井的胶筒结构参数以及封隔器内的金属骨架结构参数。步骤SS300同步骤S300。
步骤SS400，利用橡胶材料的力学性能实测数据、胶筒结构参数和金属骨架结构参数构建出胶筒组合有限元参数化模型。步骤SS400同步骤S400。
步骤SS500，获悉在研究井的具体完井试油工况下胶筒的温度载荷和压力载荷，并结合目标橡胶本构模型进行该温度载荷和压力载荷下胶筒组合有限元参数化模型的仿真分析，得到胶筒模拟分析结果。步骤SS500同步骤S500。
步骤SS600，对橡胶材料在研究井温度介质条件下的性能进行分析，得到橡胶材料性能分析结果。
步骤SS700，根据橡胶材料性能分析结果和胶筒模拟分析结果对封隔器的密封效果进行评价，输出评价结果。
在一个具体实施例中，对封隔器的密封效果进行评价的评价指标包括橡胶性能评价指标和胶筒性能评价指标。
需要理解的是，橡胶性能评价指标可从一个或多个维度反应橡胶的性能，例如，橡胶性能评价指标与橡胶材料性能分析维度对应，相应地，在一个具体实施中，橡胶性能评价指标包括硬度、拉伸强度、拉断伸长率、50％拉伸模量、永久压缩变形率、外观检测和气体快速减压中的一种或多种。作为优选，橡胶性能评价指标包括硬度、拉伸强度、拉断伸长率、50％拉伸模量、永久压缩变形率、外观检测和气体快速减压七个维度。
需要理解的是，胶筒性能评价指标可从封隔器坐封后胶筒及金属骨架的等效应力是否符合要求、封隔器是否能够绝对有效地封隔上下部压力等一个或多个维度去反应胶筒的性能。相应地，在一个具体实施例中，胶筒性能评价指标包括应力许可指标和接触应力指标中的至少一种，应力许可指标用于评价封隔器坐封后胶筒及金属骨架的等效应力的最大值是否在预设范围内，接触应力指标用于评价胶筒和套管之间的接触应力是否大于任何一侧的气窜压力，保证上部或下部气窜不能够通过胶筒与套管的接触面。作为优选，胶筒性能评价指标包括应力许可指标和接触应力指标两个维度。
在上述实施例基础上，为更加全面的评价胶筒性能，在一个改进实施例中，接触应力指标中引入了面压、胶筒压缩率和密封性系数，面压定义为若干封闭曲线形成的封闭曲面上的接触应力，胶筒压缩率定义为封隔器胶筒在正常工作状态条件下的轴向压缩量和压缩前轴向长度之比，密封性系数定义为胶筒与井壁接触应力、胶筒与井壁接触面积的乘积。作为优选，接触应力指标包括面压、胶筒压缩率和密封性系数三个维度。
步骤SS800，根据评价结果确定胶筒的优化设计方案，以用于对研究井封隔器进行设计或优化。
上述实施例中，结合橡胶性能评价指标和胶筒性能评价指标共同对封隔器的密封效果进行评价，提升了封隔器胶筒优化设计的准确性。
图1为一个实施例中封隔器胶筒优化设计方法的流程示意图。应该理解的是，虽然图1的流程图中的各个步骤按照箭头的指示依次显示，但是这些步骤并不是必然按照箭头指示的顺序依次执行。除非本文中有明确的说明，这些步骤的执行并没有严格的顺序限制，这些步骤可以以其它的顺序执行。而且，图1中的至少一部分步骤可以包括多个子步骤或者多个阶段，这些子步骤或者阶段并不必然是在同一时刻执行完成，而是可以在不同的时刻执行，这些子步骤或者阶段的执行顺序也不必然是依次进行，而是可以与其它步骤或者其它步骤的子步骤或者阶段的至少一部分轮流或者交替地执行。
装置实施例
本发明实施例提供的一种封隔器胶筒优化设计装置400包括第一获取模块410、第一确定模块412、第二获取模块414、模型构建模块416、模拟仿真模块418、评价模块420和优化设计模块422，各个模块可以应用在包含存储器和处理器的计算设备中，其中：
第一获取模块410，用于获取胶筒橡胶材料在研究井预期服役温度下的力学性能实测数据；
第一确定模块412，用于利用所述力学性能实测数据进行橡胶本构模型拟合，并根据拟合结果确定目标橡胶本构模型；
第二获取模块414，用于获取预先确定的胶筒结构参数以及封隔器内的金属骨架结构参数；
模型构建模块416，用于利用所述力学性能实测数据、胶筒结构参数和金属骨架结构参数构建出胶筒组合有限元参数化模型；
模拟仿真模块418，用于获悉根据胶筒在研究井的具体完井试油工况确定的温度和压力载荷，并结合目标橡胶本构模型进行所述温度和压力载荷下胶筒组合有限元参数化模型的仿真分析，得到胶筒模拟分析结果；
评价模块420，用于利用胶筒模拟分析结果对封隔器的密封效果进行评价，输出评价结果；
优化设计模块422，用于根据评价结果确定胶筒的优化设计方案，以用于对研究井封隔器进行设计或优化。
在一个具体实施例中，如图11所示，所述装置还包括分析模块419，用于对橡胶材料在研究井温度介质条件下的性能进行分析，得到橡胶材料性能分析结果，所述评价模块420还用于利用橡胶材料性能分析结果对封隔器的密封效果进行评价，输出评价结果。
在一个具体实施例中，力学性能实测数据包括单轴拉伸实测数据、双轴拉伸实测数据、橡胶高温蠕变实测数据和橡胶耐介质老化实测数据。
在一个具体实施例中，胶筒结构参数包括上胶筒结构参数、中胶筒结构参数和下胶筒结构参数，金属骨架结构参数包括嵌设在上胶筒端部的弹簧环结构参数、嵌设在下胶筒端部的弹簧环结构参数、套管结构参数、中心管结构参数、上胶筒座结构参数和下胶筒座结构参数。
在一个具体实施例中，所述胶筒组合有限元参数化模型中：
边界条件包括：套管设置为固定；中心管设置为下端部和径向位移约束；当注入作业时，上胶筒座设置为固定，下胶筒设置为径向位移约束且轴向无约束，在压力作用下挤压下胶筒；当试油作业时，下胶筒座设置为固定，上胶筒设置为径向位移约束且轴向无约束，在压力作用下挤压下胶筒；
接触关系包括上胶筒与中胶筒之间、中胶筒与下胶筒之间、上胶筒与中心管、中胶筒与中心管、下胶筒与中心管、上胶筒与上胶筒座、下胶筒与下胶筒座之间的接触关系，并且接触面之间的相互作用包括接触面的法向作用、接触面的切向作用、切向接触面间的滑动摩擦系数。
在一个具体实施例中，胶筒模拟分析结果包括胶筒组合Mises应力分布和在不同坐封载荷下胶筒组合接触应力分布。
在一个具体实施例中，对封隔器的密封效果进行评价的评价指标包括橡胶性能评价指标和胶筒性能评价指标。
在一个具体实施例中，橡胶性能评价指标包括硬度、拉伸强度、拉断伸长率、50％拉伸模量、永久压缩变形率、外观检测和气体快速减压中的至少一种。胶筒性能评价指标包括应力许可指标和接触应力指标中的至少一种。应力许可指标用于评价封隔器坐封后胶筒及金属骨架的等效应力的最大值是否在预设范围内。接触应力指标用于评价胶筒和套管之间的接触应力是否大于任何一侧的气窜压力，保证上部或下部气窜不能够通过胶筒与套管的接触面。
在一个具体实施例中，接触应力指标包括面压、胶筒压缩率和密封性系数中的至少一种，面压表示若干封闭曲线形成的封闭曲面上的接触应力，胶筒压缩率表示封隔器胶筒在正常工作状态下的轴向压缩量和压缩前轴向长度之比，密封性系数表示胶筒与井壁接触应力、胶筒与井壁接触面积的乘积。
以上所描述的装置实施例仅仅是示意性的，其中所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。本领域普通技术人员在不付出创造性的劳动的情况下，即可以理解并实施。
设备实施例
本发明实施例提供的一种封隔器胶筒优化设计设备，包括计算工作站，上述装置实施例实现的封隔器胶筒优化设计装置和数据库被配置在计算工作站上，数据库与封隔器胶筒优化设计装置通信连接。数据库用于存储的数据包括橡胶材料力学性能实测数据。
优选地，计算工作站选用高性能计算工作站，从而提高封隔器胶筒优化设计的效率。
为实现高温高压可取式封隔器胶筒的优化设计，在一个具体应用中，封隔器胶筒优化设计装置采用计算机辅助设计和有限元分析工具实现。通过计算机辅助设计，例如python语言开发出可视化的高温高压可取式封隔器胶筒自动化设计应用程序，并将其定义为高温高压可取式封隔器胶筒自动化设计模拟器，该模拟器与Abaqus有限元分析软件结合，具体是指：
该模拟器获取胶筒橡胶材料在研究井预期服役温度下的力学性能实测数据，即提供可视化窗口供用户输入经实测得到的胶筒橡胶材料力学性能实测数据；
通过模拟器与Abaqus有限元分析软件的通信，将其获取的胶筒橡胶材料力学性能实测数据导入至Abaqus有限元分析软件的超弹性材料模块，由Abaqus有限元分析软件执行橡胶本构模型拟合，并根据拟合结果自动选择合适的橡胶本构模型；
除胶筒橡胶材料力学性能实测数据以外，该模拟器还获取用户预先确定的研究井的胶筒结构参数和封隔器内的金属骨架结构参数，即提供可视化窗口供用户输入所述预先确定的研究井的胶筒结构参数和封隔器内的金属骨架结构参数；
通过模拟器与Abaqus有限元分析软件的通信，将其获取的胶筒结构参数和封隔器内的金属骨架结构参数作为输入参数导入Abaqus有限元分析软件中；
该模拟器还获悉在研究井的具体完井试油工况下胶筒的温度载荷和压力载荷，即提供可视化窗口供用户输入该温度载荷和压力载荷，通过模拟器与Abaqus有限元分析软件的通信，将其获取的温度载荷和压力载荷作为输入参数导入Abaqus有限元分析软件中；
由Abaqus有限元分析软件构建胶筒组合有限元参数化模型；
由Abaqus有限元分析软件对胶筒组合有限元参数化模型进行仿真分析，具体仿真胶筒组合在温度和压力载荷下的坐封、密封和解封工作行为，并输出胶筒模拟分析结果，并将胶筒模拟分析结果传递至该模拟器；
该模拟器对橡胶材料在研究井温度介质条件下的性能进行分析，得到橡胶材料性能分析结果，并根据橡胶材料性能分析结果和胶筒模拟分析结果对封隔器的密封效果进行评价，输出评价结果，然后根据评价结果确定出胶筒的优化设计方案，以用于对研究井封隔器进行设计或优化，此处，可提供可视化窗口，使得用户可根据可视化的评价结果确定出胶筒的优化设计方案，或，模拟器可结合专家经验等，根据可视化的评价结果自动推荐胶筒的优化设计方案。
基于此，封隔器胶筒优化设计设备的功能组成框图如图12所示，上述模拟器通过第一获取模块410执行方法实施例二中的步骤SS100，通过第二获取模块414执行步骤SS300，通过分析模块419执行方法实施例中的SS600，通过评价模块420执行方法实施例中的SS700，通过优化设计模块422执行方法实施例中的SS800。Abaqus有限元分析软件通过第一确定模块412执行方法实施例中的SS200，通过模型构建模块416执行方法实施例中的SS400，通过模拟仿真模块418执行方法实施例中的SS500。
在一个具体实施例中，数据库采用SQL server。
上述实施例所实现的封隔器胶筒优化设计设备通过结合计算机辅助设计和有限元仿真分析工具，可快速完成胶筒组合有限元参数化模型的构建、仿真分析计算和密封效果评价，提升了封隔器胶筒优化设计的效率，并且操作简单，与此同时，得益于高性能计算工作站和数据库，也便于进行功能扩展。
使用上述实施例的封隔器胶筒优化设计设备进行目标井所需高温高压可取式封隔器胶筒的优化设计，具体优化设计过程如下：
步骤A1，启动高性能计算工作站，配置好所需的配套软件，包括高温高压可取式封隔器胶筒自动化设计应用程序、Abaqus有限元分析软件和SQL server等。
步骤A2，输入胶筒橡胶材料在研究井预期服役温度下的力学性能实测数据、研究井预先确定的胶筒结构参数以及封隔器内的金属骨架结构参数、胶筒在研究井的具体完井试油工况确定的温度和压力载荷，并全部作为输入参数传给Abaqus有限元分析软件。
步骤A3，在Abaqus有限元分析软件的部件模块中，调用三维实体旋转建模功能模块创建胶筒和弹簧环，创建得到的胶筒和弹簧环如图2至图5所示。其中，绘制胶筒剖面时使用Line函数绘制直线，使用FilletByRadius函数绘制倒角，使用ConstructionLine函数确定胶筒剖面的角度如α1、α2等。创建弹簧环模型时，采用柱坐标函数，具体如下： θ＝1～360。利用柱坐标函数确定弹簧环上空间点的坐标，再利用样条曲线函数WireSpline将这些空间点连接起来，构成平滑的空间曲线，最后使用BeamSection函数赋予空间曲线剖面特征，生成弹簧环。
步骤A4，在Abaqus有限元分析软件的部件模块中，调用EmbeddedRegion函数，将弹簧环分别嵌入上胶筒与下胶筒的端部。
步骤A5，在Abaqus有限元分析软件的部件模块中，利用橡胶材料力学性能实测数据拟合橡胶本构模型，确定橡胶本构模型的关键参数。橡胶材料力学性能实测数据中的单轴拉伸测试曲线如图6所示，橡胶材料力学性能实测数据中的等双轴拉伸测试曲线如图7所示。
步骤A6，在Abaqus有限元分析软件的部件模块中，建立胶筒组合参数化有限元模型。该胶筒组合参数化有限元模型的装配结构如8所示，包括上胶筒、嵌入上胶筒端部的弹簧环、中胶筒、下胶筒、嵌入下胶筒端部的弹簧环、中心管、套管、上胶筒座和下胶筒座。胶筒组合参数化有限元模型的边界条件包括：套管设置为固定；中心管设置为下端部和径向位移约束；当注入作业时，上胶筒座设置为固定，下胶筒设置为径向位移约束且轴向无约束，在压力作用下挤压下胶筒；当试油作业时，下胶筒座设置为固定，上胶筒设置为径向位移约束且轴向无约束，在压力作用下挤压下胶筒。在胶筒组合有限元参数化模型中建立上胶筒与中胶筒之间、中胶筒与下胶筒之间、上胶筒与中心管、中胶筒与中心管、下胶筒与中心管、上胶筒与上胶筒座、下胶筒与下胶筒座之间的接触关系，接触面之间的相互作用包括：接触面的法向作用、接触面的切向作用、切向接触面间的滑动摩擦系数。
步骤A7，提交作业，进行封隔器胶筒坐封、稳压和解封计算分析。
步骤A8，对橡胶材料性能分析结果和胶筒模拟分析结果进行评价。胶筒模拟分析结果包括封隔器的胶筒组合Mises应力分布以及在不同坐封载荷下封隔器胶筒组合的接触应力分布图，如图9～图10所示。
步骤A9，根据评价结果确定胶筒的优化设计方案。通过该优化设计方案对目标井所需的封隔器胶筒进行设计或改良。
另一方面，本发明实施例还提供一种机器可读存储介质，其上存储有计算机程序，所述计算机程序被处理器执行时实现上述方法实施例一或二所述的封隔器胶筒优化设计方法。
在一个实施例中，本发明提供的封隔器胶筒优化设计装置400可以实现为一种计算机程序的形式，计算机程序可在如图12所示的计算机设备上运行。计算机设备的存储器中可存储组成该封隔器胶筒优化设计装置400的各个程序模块。各个程序模块构成的计算机程序使得处理器执行本说明书中描述的封隔器胶筒优化设计方法中的步骤。
本发明实施例还提供了一种计算机程序产品，当在数据处理设备上执行时，适于执行初始化有如下方法步骤的程序：
获取胶筒橡胶材料在研究井预期服役温度下的力学性能实测数据；
利用所述力学性能实测数据进行橡胶本构模型拟合，并根据拟合结果确定目标橡胶本构模型；
获取研究井预先确定的胶筒结构参数以及封隔器内的金属骨架结构参数；
利用所述力学性能实测数据、胶筒结构参数和金属骨架结构参数构建出胶筒组合有限元参数化模型；
获悉在研究井的具体完井试油工况下胶筒的温度和压力载荷，并结合目标橡胶本构模型进行所述温度和压力载荷下胶筒组合有限元参数化模型的仿真分析，得到胶筒模拟分析结果；
利用胶筒模拟分析结果对封隔器的密封效果进行评价，输出评价结果；
根据评价结果确定胶筒的优化设计方案，以用于对研究井封隔器进行设计或优化。
本领域内的技术人员应明白，本发明的实施例可提供为方法、系统、或计算机程序产品。因此，本发明可采用完全硬件实施例、完全软件实施例、或结合软件和硬件方面的实施例的形式。而且，本发明可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。
还需要说明的是，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、商品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、商品或者设备所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括要素的过程、方法、商品或者设备中还存在另外的相同要素。
最后应说明的是：以上实施例仅用以说明本发明的技术方案，而非对其限制；尽管参照前述实施例对本发明进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本发明各实施例技术方案的精神和范围。

Claims (15)

  1. 一种封隔器胶筒优化设计方法，其特征在于，所述方法包括：
    获取胶筒橡胶材料在研究井预期服役温度下的力学性能实测数据；
    利用所述力学性能实测数据进行橡胶本构模型拟合，并根据拟合结果确定目标橡胶本构模型；
    获取预先确定的研究井胶筒结构参数以及封隔器内的金属骨架结构参数；
    利用所述力学性能实测数据、胶筒结构参数和金属骨架结构参数构建出胶筒组合有限元参数化模型；
    获悉在研究井的具体完井试油工况下胶筒的温度和压力载荷，并结合目标橡胶本构模型进行所述温度和压力载荷下胶筒组合有限元参数化模型的仿真分析，得到胶筒模拟分析结果；
    利用胶筒模拟分析结果对封隔器的密封效果进行评价，输出评价结果；
    根据评价结果确定胶筒的优化设计方案，以用于对研究井封隔器进行设计或优化。
  2. 根据权利要求1所述的封隔器胶筒优化设计方法，其特征在于，所述方法还包括：
    对橡胶材料在研究井温度介质条件下的性能进行分析，得到橡胶材料性能分析结果；
    利用橡胶材料性能分析结果对封隔器的密封效果进行评价，输出评价结果。
  3. 根据权利要求1所述的封隔器胶筒优化设计方法，其特征在于，所述力学性能实测数据包括单轴拉伸实测数据、双轴拉伸实测数据、橡胶高温蠕变实测数据和橡胶耐介质老化实测数据。
  4. 根据权利要求1所述的封隔器胶筒优化设计方法，其特征在于，胶筒结构参数包括上胶筒、中胶筒和下胶筒的结构参数，金属骨架结构参数包括嵌设在上胶筒端部的弹簧环、嵌设在下胶筒端部的弹簧环、套管、中心管、上胶筒座和下胶筒座的结构参数。
  5. 根据权利要求1所述的封隔器胶筒优化设计方法，其特征在于，所述胶筒组合有限元参数化模型中：
    边界条件包括：套管设置为固定；中心管设置为下端部和径向位移约束；当注入作业时，上胶筒座设置为固定，下胶筒设置为径向位移约束且轴向无约束，在压力作用下挤压下胶筒；当试油作业时，下胶筒座设置为固定，上胶筒设置为径向位移约束且轴向无约束，在压力作用下挤压下胶筒；
    接触关系包括上胶筒与中胶筒之间、中胶筒与下胶筒之间、上胶筒与中心管、中胶筒与中心管、下胶筒与中心管、上胶筒与上胶筒座、下胶筒与下胶筒座之间的接触关系，并且接触面之间的相互作用包括接触面的法向作用、接触面的切向作用、切向接触面间的滑动摩擦系数。
  6. 根据权利要求1所述的封隔器胶筒优化设计方法，其特征在于，胶筒模拟分析结果包括胶筒组合Mises应力分布和在不同坐封载荷下的胶筒组合接触应力分布。
  7. 根据权利要求2所述的封隔器胶筒优化设计方法，其特征在于，对封隔器的密封效果进行评价的评价指标包括橡胶性能评价指标和胶筒性能评价指标。
  8. 根据权利要求7所述的封隔器胶筒优化设计方法，其特征在于，橡胶性能评价指标包括硬度、拉伸强度、拉断伸长率、50％拉伸模量、永久压缩变形率、外观检测和气体快速减压中的至少一种，胶筒性能评价指标包括应力许可指标和接触应力指标中的至少一种，所述应力许可指标用于评价封隔器坐封后胶筒及金属骨架的等效应力的最大值是否在预设范围内，所述接触应力指标用于评价胶筒和套管之间的接触应力是否大于任何一侧的气窜压力。
  9. 根据权利要求8所述的封隔器胶筒优化设计方法，其特征在于，所述接触应力指标包括面压、胶筒压缩率和密封性系数中的至少一种，所述面压表示若干封闭曲线形成的封闭曲面上的接触应力，所述胶筒压缩率表示封隔器胶筒在正常工作状态下的轴向压缩量和压缩前轴向长度之比，所述密封性系数表示胶筒与井壁接触应力、胶筒与井壁接触面积的乘积。
  10. 一种封隔器胶筒优化设计装置，其特征在于，所述装置包括：
    第一获取模块，用于获取胶筒橡胶材料在研究井预期服役温度下的力学性能实测数据；
    第一确定模块，用于利用所述力学性能实测数据进行橡胶本构模型拟合，并根据拟合结果确定目标橡胶本构模型；
    第二获取模块，用于获取预先确定的研究井胶筒结构参数以及封隔器内的金属骨架结构参数；
    模型构建模块，用于利用所述力学性能实测数据、胶筒结构参数和金属骨架结构参数构建出胶筒组合有限元参数化模型；
    模拟仿真模块，用于获悉在研究井的具体完井试油工况下胶筒的温度和压力载荷，并结合目标橡胶本构模型进行所述温度和压力载荷下胶筒组合有限元参数化模型的仿真分析，得到胶筒模拟分析结果；
    评价模块，用于利用胶筒模拟分析结果对封隔器的密封效果进行评价，输出评价结果；
    优化设计模块，用于根据评价结果确定胶筒的优化设计方案，以用于对研究井封隔器进行设计或优化。
  11. 根据权利要求10所述的封隔器胶筒优化设计装置，其特征在于，所述装置还包括分析模块，所述分析模块用于对橡胶材料在研究井温度介质条件下的性能进行分析，得到橡胶材料性能分析结果，所述评价模块还用于利用橡胶材料性能分析结果对封隔器的密封效果进行评价，输出评价结果。
  12. 根据权利要求11所述的封隔器胶筒优化设计装置，其特征在于，对封隔器的密封效果进行评价的评价指标包括橡胶性能评价指标和胶筒性能评价指标。
  13. 根据权利要求12所述的封隔器胶筒优化设计装置，其特征在于，橡胶性能评价指标包括硬度、拉伸强度、拉断伸长率、50％拉伸模量、永久压缩变形率、外观检测和气体快速减压中的至少一种，胶筒性能评价指标包括应力许可指标和接触应力指标中的至少一种，所述应力许可指标用于评价封隔器坐封后胶筒及金属骨架的等效应力的最大值是否在预设范围内，所述接触应力指标用于评价胶筒和套管之间的接触应力是否大于任何一侧的气窜压力。
  14. 一种封隔器胶筒优化设计设备，其特征在于，包括计算工作站，权利要求10-13中任一项所述的封隔器胶筒优化设计装置被配置在计算工作站上，所述计算工作站还配置有数据库，所述封隔器胶筒优化设计装置与所述数据库通信连接。
  15. 一种机器可读存储介质，其上存储有计算机程序，其特征在于，所述计算机程序被处理器执行时实现权利要求1至9中任一项所述的封隔器胶筒优化设计方法。
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