Optimization / design method and apparatus for packer rubber cylinder, and device and storage medium

Abstract

The present invention belongs to the technical field of oil testing and well completion in oil-gas well engineering. Provided are an optimization / design method and apparatus for a packer rubber cylinder, and a device and a storage medium. The method comprises: acquiring measured data of the mechanical properties of a rubber material of a rubber cylinder at an expected service temperature of a research well; performing rubber constitutive model fitting, and on the basis of a fitting result, determining a target rubber constitutive model; acquiring structural parameters of the rubber cylinder of the research well and structural parameters of a metal framework; constructing a parametric finite element model of a rubber cylinder combination; finding out a temperature load and a pressure load of the rubber cylinder under a specific well completion and oil testing condition of the research well, and performing stimulation analysis on the parametric finite element model of the rubber cylinder combination under the temperature load and the pressure load, so as to obtain a simulation analysis result of the rubber cylinder; using the simulation analysis result of the rubber cylinder to assess the sealing effect of a packer; and on the basis of an assessment result, determining an optimization / design scheme for the rubber cylinder. By means of the method, the optimization / design of a high-temperature and high-pressure resistant packer rubber cylinder is realized, thus meeting application requirements of ultra-deep and extra-deep wells.

Description

Seal packer rubber sleeve optimization design method, device, equipment and storage medium

[0001] Cross-reference to related applications

[0002] This application claims the benefit of Chinese Patent Application No. 202410717971.1, filed on June 4, 2024, the contents of which are incorporated herein by reference. TECHNICAL FIELD

[0003] The present application belongs to the technical field of oil and gas well engineering testing and completion, and specifically relates to a seal packer rubber sleeve optimization design method, a seal packer rubber sleeve optimization design device, a seal packer rubber sleeve optimization design equipment and a machine readable storage medium. BACKGROUND

[0004] Northwest and Southwest China are the main distribution areas of ultra-deep wells in China, especially the two 10,000-meter exploration wells, Shengditake 1 well and Shengdichuan 1 well, which are expected to have downhole temperatures exceeding 230℃. Ultra-deep formations have characteristics of ultra-high temperature, high pressure, fluid containing corrosion, etc., which bring great challenges to oil testing operations. The packer is a key downhole tool for oil testing operations in ultra-deep and ultra-deep wells, and the rubber sleeve is the core component and weak component of the packer, and its main failure modes include elastic decline caused by rubber aging, rubber cracking, and shoulder tear caused by excessive pressure difference. Currently, the rubber sleeves used in domestic high temperature and high pressure wells mainly use imported Halliburton and Schlumberger products, and it is urgent to improve the development capability of domestic high temperature and high pressure retrievable packer rubber sleeves. In the development process of the packer rubber sleeve, the finite element numerical simulation technology is mainly used to analyze the mechanical change law of the downhole sealing performance of the rubber sleeve, which is of great significance to optimize the structure design of the rubber sleeve, improve the rubber material, and promote the independent research and development capability of the packer rubber sleeve in China.

[0005] The key factors affecting the sealing performance of the packer rubber sleeve mainly include the structure size of the rubber sleeve, the material parameters, the friction coefficient, the spring material and diameter, the diameter and spatial position of the spring ring, the size of the casing, the size of the tubing, and the working environment, etc. Only by considering various factors affecting the performance of the rubber sleeve can the stress on the rubber sleeve be accurately analyzed. In order to improve the development capability and efficiency of the rubber sleeve, it is found through investigation that some scholars have developed packer rubber sleeve working behavior simulation optimization software by applying finite element method. These simulation optimization software can simulate the sealing process of the rubber sleeve under high temperature and high pressure, evaluate the sealing effect, optimize the structure parameters of the rubber sleeve, and improve the comprehensive performance of the rubber sleeve. However, the finite element parameterized model of the rubber sleeve constructed does not consider the role of the metal skeleton, which refers to the steel parts inside the packer, such as the casing, the center tube, etc. Therefore, it is only applicable to the optimization design of the rubber sleeve with small temperature and pressure difference, so that the developed rubber sleeve cannot meet the needs of oil testing operations in ultra-deep and ultra-deep wells.

[0006] In summary, in order to meet the development needs of high-temperature and high-pressure packer rubber, it is urgent to develop a rubber optimization method and platform considering the role of the metal skeleton. SUMMARY

[0007] The purpose of the embodiments of the present application is to provide a packer rubber optimization design method, a packer rubber optimization design device, a packer rubber optimization design equipment and a machine readable storage medium, to overcome the technical problems in the prior art that the packer rubber obtained based on the traditional packer rubber development method cannot be applied to the oil testing operation requirements under the high temperature and high pressure conditions of ultra-deep and super-deep wells.

[0008] To achieve the above-mentioned purpose, the first aspect of the embodiments of the present application provides a packer rubber optimization design method, the method comprising:

[0009] Obtaining the mechanical property measured data of the rubber material of the rubber at the expected service temperature of the research well;

[0010] Using the mechanical property measured data to perform rubber constitutive model fitting, and determining a target rubber constitutive model according to the fitting result;

[0011] Obtaining the pre-determined rubber structure parameters of the research well and the metal skeleton structure parameters in the packer;

[0012] Using the mechanical property measured data, the rubber structure parameters and the metal skeleton structure parameters to construct a rubber combined finite element parameterized model;

[0013] Obtaining the temperature and pressure load of the rubber under the specific completion oil testing condition of the research well, and combining the target rubber constitutive model to perform simulation analysis of the rubber combined finite element parameterized model under the temperature and pressure load, to obtain rubber simulation analysis results;

[0014] Using the rubber simulation analysis results to evaluate the sealing effect of the packer, and outputting the evaluation results;

[0015] According to the evaluation results, determining the optimization design scheme of the rubber, to be used for designing or optimizing the packer of the research well.

[0016] The second aspect of the embodiments of the present application provides a packer rubber optimization design device, the device comprising:

[0017] The first obtaining module is used for obtaining the mechanical property measured data of the rubber material of the rubber at the expected service temperature of the research well;

[0018] The first determining module is used for using the mechanical property measured data to perform rubber constitutive model fitting, and determining a target rubber constitutive model according to the fitting result;

[0019] A second acquisition module is configured to acquire predetermined research well rubber sleeve structure parameters and metal skeleton structure parameters in the packer;

[0020] A model construction module is configured to construct a rubber sleeve combined finite element parameterized model by using the mechanical property measured data, the rubber sleeve structure parameters and the metal skeleton structure parameters;

[0021] A simulation and emulation module is configured to acquire the temperature and pressure load of the rubber sleeve under a specific well completion test oil production condition of the research well, and perform simulation analysis of the rubber sleeve combined finite element parameterized model under the temperature and pressure load in combination with the target rubber constitutive model to obtain rubber sleeve simulation analysis results.

[0022] An evaluation module is configured to evaluate the sealing effect of the packer by using the rubber sleeve simulation analysis results, and output evaluation results.

[0023] An optimization design module is configured to determine an optimized design scheme of the rubber sleeve according to the evaluation results, so as to design or optimize the packer of the research well.

[0024] A third aspect of the embodiment of the present application provides a packer rubber sleeve optimization design device, which comprises a computing workstation, and the packer rubber sleeve optimization design device of the second aspect of the embodiment of the present application is configured on the computing workstation.

[0025] A fourth aspect of the embodiment of the present application provides a machine readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the packer rubber sleeve optimization design method of the first aspect of the embodiment of the present application.

[0026] In the above technical solution, the rubber sleeve combined finite element parameterized model is assembled by considering the metal skeleton, and the simulation analysis of the rubber sleeve combined finite element parameterized model is performed in combination with the mechanical property measured data of the rubber sleeve under the expected service temperature of the research well, the rubber sleeve structure parameters and the metal skeleton structure parameters of the research well, the temperature load and the pressure load of the rubber sleeve under the specific well completion test oil production condition of the research well, and the sealing effect of the packer is evaluated by using the simulation analysis results, so as to obtain the optimized design scheme of the rubber sleeve, thereby guiding the improvement of the existing rubber sleeve of the research well or manufacturing the rubber sleeve meeting the requirements of the research well according to the optimized design scheme, and the manufactured rubber sleeve or the improved rubber sleeve can be applied to the ultra-deep well under the high temperature and high pressure conditions.

[0027] Other features and advantages of the embodiment of the present application will be described in detail in the following specific implementation manner. BRIEF DESCRIPTION OF DRAWINGS

[0028] The accompanying drawings are included to provide a further understanding of embodiments of the application, and are incorporated in and constitute a part of this specification, illustrate embodiments of the application, and together with the description serve to explain embodiments of the application, but are not intended to limit the present application in any manner. In the drawings:

[0029] Fig. 1 schematically shows a flow chart of a packer rubber sleeve optimization design method according to an embodiment of the present application;

[0030] Fig. 2 schematically shows a schematic diagram of upper rubber sleeve structure parameters according to an embodiment of the present application;

[0031] Fig. 3 schematically shows a schematic diagram of spring ring structure parameters according to an embodiment of the present application;

[0032] Fig. 4 schematically shows a schematic diagram of middle rubber sleeve structure parameters according to an embodiment of the present application;

[0033] Fig. 5 schematically shows a schematic diagram of lower rubber sleeve structure parameters according to an embodiment of the present application;

[0034] Fig. 6 schematically shows a uniaxial tensile test curve of a rubber material in a specific application example;

[0035] Fig. 7 schematically shows an equibiaxial tensile test curve of a rubber material in a specific application example;

[0036] Fig. 8 schematically shows a schematic diagram of a rubber sleeve combination finite element parameterization model according to an embodiment of the present application;

[0037] Fig. 9 schematically shows a rubber sleeve combination Mises stress distribution in a specific application example;

[0038] Fig. 10 schematically shows a rubber sleeve combination contact stress distribution under different setting loads in a specific application example;

[0039] Fig. 11 schematically shows a composition block diagram of a packer rubber sleeve optimization design device according to an embodiment of the present application;

[0040] Fig. 12 schematically shows a functional block diagram of a packer rubber sleeve optimization design device according to an embodiment of the present application. DETAILED DESCRIPTION

[0041] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. It should be understood that the specific embodiments described herein are merely used to explain and illustrate the embodiments of the present application, and are not used to limit the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0042] It should be noted that if the embodiments of the present application involve directional indications (such as up, down, left, right, front, back, etc.), the directional indications are only used to explain the relative position relationship, motion condition, etc. between components in a certain specific posture (as shown in the drawings), and if the specific posture changes, the directional indications will also change accordingly.

[0043] In addition, if the embodiments of the present application involve descriptions such as "first", "second", etc., the descriptions of "first", "second", etc. are only for description purposes, and cannot be understood as indicating or implying the relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features limited by "first", "second" can explicitly or implicitly include at least one of the features. In addition, the technical solutions of each embodiment can be combined with each other, but it must be based on the fact that a person skilled in the art can realize it, and when the combination of technical solutions contradicts each other or cannot be realized, it should be considered that the combination of technical solutions does not exist and is not within the protection scope required by the present application.

[0044] Method embodiment one

[0045] The embodiments of the present application provide a packer rubber sleeve optimization design method, which comprises the following implementation steps:

[0046] Step S100, obtaining the mechanical property measured data of the rubber material of the rubber sleeve at the expected service temperature of the research well. For example, if the research well has applied packers, the above rubber material of the rubber sleeve is the rubber material of the applied packer rubber sleeve, and if the research well has not yet applied packers in the well completion and oil test stage, the rubber material of the rubber sleeve can be the rubber material determined by selecting the rubber material according to the specific well completion and oil test conditions of the research well.

[0047] In one specific embodiment, the mechanical property measured data of the rubber material includes uniaxial tensile measured data, biaxial tensile measured data, rubber high temperature creep measured data and rubber medium resistance aging measured data.

[0048] Step S200, fitting the rubber constitutive model by using the mechanical property measured data of the rubber material of the rubber sleeve, and determining the target rubber constitutive model according to the fitting result.

[0049] For example, the mechanical property measured data of the rubber material of the rubber sleeve is imported into the hyperelastic material module of the finite element simulation software such as Abaqus, the fitting of the rubber constitutive model is performed, and the appropriate rubber constitutive model is automatically selected according to the fitting result, such as Yeoh model, Odgen model, Mooney-Rivlin model, etc.

[0050] Step S300, the rubber sleeve structure parameters of the predetermined research well and the metal skeleton structure parameters in the packer are obtained. It should be understood that if the research well has applied packer, the corresponding rubber sleeve structure parameters and metal skeleton structure parameters can be obtained according to the applied packer, if the research well has not yet applied packer in the well completion test oil stage, the rubber sleeve structure parameters and metal skeleton structure parameters of the packer can be determined by selection or experience. In the embodiment, the metal skeleton in the packer includes a spring ring embedded in the upper rubber sleeve end, a spring ring embedded in the lower rubber sleeve end, a casing, a center tube, an upper rubber sleeve seat and a lower rubber sleeve seat. Accordingly, as shown in FIGS. 2 to 5, the structure parameters of the upper rubber sleeve include the upper rubber sleeve inner diameter R0, the upper rubber sleeve wall thickness T1 and T2, the upper rubber sleeve inner diameter height T4, the upper rubber sleeve outer diameter height T3, the spring center point and the upper end face distance T6, the spring center point and the side face distance T5, the chamfer α1 and α2, etc. The upper rubber sleeve end is embedded in the steel wire spring ring, and the structure parameters of the spring ring include the annular inner diameter Single turn cross-sectional diameter Steel wire diameter And the spring ring number n, etc. The structure parameters of the middle rubber sleeve include the middle rubber sleeve inner diameter R3, the middle rubber sleeve wall thickness M1 and M2, the middle rubber sleeve height M3 and M4, the middle rubber sleeve middle segment length M5, the middle rubber sleeve chamfer β1-β4, the groove arc R4-R5, etc. The structure parameters of the lower rubber sleeve include the lower rubber sleeve inner diameter R6, the lower rubber sleeve wall thickness D1 and D4, the rubber sleeve height D2 and D3, the rubber sleeve chamfer γ1-γ2, the arc R7, the spring center point and the lower end face distance D6, the spring center point and the side face distance D5, etc. The lower rubber sleeve end is embedded in the steel wire spring ring, and the structure parameters of the spring ring are the same as the spring ring embedded in the upper rubber sleeve end. The structure parameters of the casing include the casing inner diameter, etc. The structure parameters of the center tube include the center tube outer diameter, etc. The structure parameters of the upper rubber sleeve seat include the upper rubber sleeve seat outer diameter, etc. The structure parameters of the lower rubber sleeve seat include the lower rubber sleeve seat outer diameter, etc.

[0051] Step S400, the mechanical performance measured data of the rubber material, the rubber sleeve structure parameters and the metal skeleton structure parameters are used to construct the rubber sleeve combination finite element parameterization model. In the following description, the structure model of the rubber sleeve and the metal skeleton assembly is called rubber sleeve combination, as shown in FIG. 8.

[0052] For example: the mechanical performance measured data of the rubber material, the rubber sleeve structure parameters and the metal skeleton structure parameters are imported into the finite element simulation software such as Abaqus as input parameters to assemble the three-dimensional parameterization model of the rubber sleeve combination.

[0053] In one specific embodiment, the boundary conditions of the finite element parameterized model of the rubber sleeve combination include: the casing is set as fixed; the central pipe is set as lower end and radial displacement constraint; when the injection operation is performed, the upper rubber sleeve seat is set as fixed, the lower rubber sleeve is set as radial displacement constraint and axial unconstraint, and the lower rubber sleeve is extruded under pressure; when the oil testing operation is performed, the lower rubber sleeve seat is set as fixed, the upper rubber sleeve is set as radial displacement constraint and axial unconstraint, and the lower rubber sleeve is extruded under pressure. The contact relationship between the upper rubber sleeve and the middle rubber sleeve, between the middle rubber sleeve and the lower rubber sleeve, between the upper rubber sleeve and the central pipe, between the middle rubber sleeve and the central pipe, between the lower rubber sleeve and the central pipe, between the upper rubber sleeve and the upper rubber sleeve seat, and between the lower rubber sleeve and the lower rubber sleeve seat is established in the finite element parameterized model of the rubber sleeve combination. The interaction between the contact surfaces includes: normal action of the contact surface, tangential action of the contact surface, and sliding friction coefficient between the tangential contact surfaces.

[0054] In step S500, the temperature load and the pressure load of the rubber sleeve under the specific completion oil testing working condition of the research well are learned, and the simulation analysis of the finite element parameterized model of the rubber sleeve combination under the temperature load and the pressure load is performed in combination with the target rubber constitutive model, to obtain the simulation analysis result of the rubber sleeve.

[0055] For example, the finite element simulation software such as Abaqus is used to perform the simulation analysis on the finite element parameterized model of the rubber sleeve combination, to simulate the setting, pressure maintaining and unsetting working behaviors of the finite element parameterized model of the rubber sleeve combination under the specific completion oil testing working condition of the research well, to solve the working performance parameters of the rubber sleeve combination under the temperature load and the pressure load, to analyze the mutual influence law between the input parameters, and to obtain the Mises stress distribution of the rubber sleeve combination and the contact stress distribution of the rubber sleeve combination under different setting loads.

[0056] In step S600, the sealing effect of the packer is evaluated by using the simulation analysis result of the rubber sleeve, and the evaluation result is output.

[0057] In one specific embodiment, the sealing effect of the packer is evaluated by using the rubber sleeve performance evaluation index generated according to the simulation analysis result of the rubber sleeve.

[0058] It needs to be understood that the rubber sleeve performance evaluation index can reflect the performance of the rubber sleeve from one or more dimensions, such as whether the equivalent stress of the rubber sleeve and the metal skeleton after the packer is set meets the requirements, whether the packer can absolutely effectively seal the upper and lower pressures, and the like. Accordingly, in one specific embodiment, the rubber sleeve performance evaluation index includes at least one of a stress permission index and a contact stress index, the stress permission index is used to evaluate whether the maximum value of the equivalent stress of the rubber sleeve and the metal skeleton after the packer is set is within a preset range, and the contact stress index is used to evaluate whether the contact stress between the rubber sleeve and the casing is greater than the gas channeling pressure of any side, so as to ensure that the upper or lower gas channeling cannot pass through the contact surface of the rubber sleeve and the casing. As a preselection, the rubber sleeve performance evaluation index includes two dimensions of the stress permission index and the contact stress index.

[0059] Based on the above embodiment, the contact stress index includes at least one of the surface pressure, the rubber sleeve compression rate and the sealing coefficient. In order to more comprehensively evaluate the performance of the rubber sleeve, in one improved embodiment, the three dimensions of the surface pressure, the rubber sleeve compression rate and the sealing coefficient are introduced into the contact stress index, the surface pressure is defined as the contact stress on the closed surface formed by the plurality of closed curves, the rubber sleeve compression rate is defined as the ratio of the axial compression amount of the packer rubber sleeve under the normal working state condition to the axial length before compression, and the sealing coefficient is defined as the product of the contact stress between the rubber sleeve and the well wall and the contact area between the rubber sleeve and the well wall.

[0060] Step S700, determining the optimized design scheme of the rubber sleeve according to the evaluation result, so as to be used for designing or optimizing the packer of the research well. The optimized design scheme provides a theoretical basis for the rubber sleeve structure design, the rubber sleeve structure improvement, the rubber sleeve rubber material optimization and the like.

[0061] Method embodiment two

[0062] Referring to FIG. 1, the embodiment of the present application provides a packer rubber sleeve optimized design method, which is different from the method embodiment one in that the performance of the rubber material under the temperature medium condition of the research well is analyzed, and the rubber material performance analysis result is introduced into the sealing effect evaluation of the packer. Specifically, the following specific implementation steps are included:

[0063] Step SS100, obtaining the mechanical property measured data of the rubber material of the rubber sleeve under the expected service temperature of the research well. Step SS100 is synchronous with step S100.

[0064] Step SS200, fitting the rubber constitutive model by using the mechanical property measured data of the rubber material of the rubber sleeve, and determining the target rubber constitutive model according to the fitting result. Step SS200 is synchronous with step S200.

[0065] Step SS300, obtaining the rubber sleeve structure parameters of the research well and the metal skeleton structure parameters in the packer determined in advance. Step SS300 is synchronous with step S300.

[0066] Step SS400, a finite element parameterized model of the rubber sleeve combination is constructed using the mechanical property measured data of the rubber material, the rubber sleeve structure parameters and the metal skeleton structure parameters. Step SS400 is synchronous with step S400.

[0067] Step SS500, the temperature load and the pressure load of the rubber sleeve under the specific completion oil testing condition of the research well are obtained, and the simulation analysis of the finite element parameterized model of the rubber sleeve combination under the temperature load and the pressure load is performed in combination with the target rubber constitutive model, to obtain the rubber sleeve simulation analysis result. Step SS500 is synchronous with step S500.

[0068] Step SS600, the performance of the rubber material under the temperature medium condition of the research well is analyzed to obtain the rubber material performance analysis result.

[0069] Step SS700, the sealing effect of the packer is evaluated according to the rubber material performance analysis result and the rubber sleeve simulation analysis result, and an evaluation result is output.

[0070] In one specific embodiment, the evaluation index for evaluating the sealing effect of the packer includes a rubber performance evaluation index and a rubber sleeve performance evaluation index.

[0071] It should be understood that the rubber performance evaluation index can reflect the performance of the rubber from one or more dimensions, for example, the rubber performance evaluation index corresponds to the rubber material performance analysis dimension, and accordingly, in one specific embodiment, the rubber performance evaluation index includes one or more of hardness, tensile strength, elongation at break, 50% tensile modulus, permanent compression deformation rate, appearance detection and gas rapid decompression. As preferred, the rubber performance evaluation index includes seven dimensions of hardness, tensile strength, elongation at break, 50% tensile modulus, permanent compression deformation rate, appearance detection and gas rapid decompression.

[0072] It should be understood that the rubber sleeve performance evaluation index can reflect the performance of the rubber sleeve from one or more dimensions, such as whether the equivalent stress of the rubber sleeve and the metal skeleton after the packer is set meets the requirements, whether the packer can absolutely effectively isolate the upper and lower pressures, etc. Accordingly, in one specific embodiment, the rubber sleeve performance evaluation index includes at least one of a stress permission index and a contact stress index, the stress permission index is used to evaluate whether the maximum value of the equivalent stress of the rubber sleeve and the metal skeleton after the packer is set is within a preset range, and the contact stress index is used to evaluate whether the contact stress between the rubber sleeve and the casing is greater than the gas channeling pressure of any side, to ensure that the upper or lower gas channeling cannot pass through the contact surface of the rubber sleeve and the casing. As preferred, the rubber sleeve performance evaluation index includes two dimensions of the stress permission index and the contact stress index.

[0073] On the basis of the above-mentioned embodiments, in order to comprehensively evaluate the performance of the rubber sleeve, in an improved embodiment, the contact stress index is introduced into the surface pressure, the rubber sleeve compression rate and the sealing coefficient, the surface pressure is defined as the contact stress on the closed surface formed by a plurality of closed curves, the rubber sleeve compression rate is defined as the ratio of the axial compression amount of the rubber sleeve of the packer under the normal working state condition and the axial length before compression, and the sealing coefficient is defined as the product of the contact stress between the rubber sleeve and the well wall and the contact area between the rubber sleeve and the well wall. As a preferred, the contact stress index includes three dimensions of surface pressure, rubber sleeve compression rate and sealing coefficient.

[0074] Step SS800, according to the evaluation result, the optimization design scheme of the rubber sleeve is determined, which is used for designing or optimizing the packer of the research well.

[0075] In the above-mentioned embodiments, the rubber performance evaluation index and the rubber sleeve performance evaluation index are combined to evaluate the sealing effect of the packer, which improves the accuracy of the optimization design of the rubber sleeve of the packer.

[0076] Fig. 1 is a flowchart of the method for optimizing the design of the rubber sleeve of the packer in an embodiment. It should be understood that although each step in the flowchart of Fig. 1 is displayed in sequence according to the arrow direction, these steps are not necessarily executed in sequence according to the arrow direction. Unless otherwise specified herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other sequences. Moreover, at least part of the steps in Fig. 1 can include a plurality of sub-steps or a plurality of stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence of these sub-steps or stages is not necessarily sequential, but can be executed in rotation or alternation with at least part of other steps or sub-steps or stages of other steps.

[0077] Device embodiment

[0078] The device for optimizing the design of the rubber sleeve of the packer 400 provided in the embodiments of the present application comprises a first acquisition module 410, a first determination module 412, a second acquisition module 414, a model construction module 416, a simulation module 418, an evaluation module 420 and an optimization design module 422, and each module can be applied in a computing device comprising a memory and a processor, wherein:

[0079] The first acquisition module 410 is configured to acquire the measured data of the mechanical properties of the rubber material of the rubber sleeve at the expected service temperature of the research well.

[0080] The first determination module 412 is configured to perform rubber constitutive model fitting by using the measured data of the mechanical properties, and determine a target rubber constitutive model according to the fitting result.

[0081] The second acquisition module 414 is configured to acquire predetermined rubber sleeve structure parameters and metal skeleton structure parameters in the packer.

[0082] The model construction module 416 is configured to construct a rubber sleeve combined finite element parameterized model by using the measured mechanical performance data, the rubber sleeve structure parameters and the metal skeleton structure parameters.

[0083] The simulation and emulation module 418 is configured to acquire temperature and pressure loads determined according to specific completion and oil testing conditions of the rubber sleeve in the research well, and perform simulation analysis of the rubber sleeve combined finite element parameterized model under the temperature and pressure loads in combination with the target rubber constitutive model to obtain rubber sleeve simulation analysis results.

[0084] The evaluation module 420 is configured to evaluate the sealing effect of the packer by using the rubber sleeve simulation analysis results, and output evaluation results.

[0085] The optimization design module 422 is configured to determine an optimized design scheme of the rubber sleeve according to the evaluation results, so as to be used for designing or optimizing the packer of the research well.

[0086] In one specific embodiment, as shown in FIG. 11, the device further comprises an analysis module 419 configured to analyze the performance of the rubber material under the temperature medium conditions of the research well to obtain rubber material performance analysis results, and the evaluation module 420 is further configured to evaluate the sealing effect of the packer by using the rubber material performance analysis results, and output evaluation results.

[0087] In one specific embodiment, the measured mechanical performance data includes uniaxial tensile test data, biaxial tensile test data, rubber high-temperature creep test data and rubber medium resistance aging test data.

[0088] In one specific embodiment, the rubber sleeve structure parameters include upper rubber sleeve structure parameters, middle rubber sleeve structure parameters and lower rubber sleeve structure parameters, and the metal skeleton structure parameters include spring ring structure parameters embedded in the end of the upper rubber sleeve, spring ring structure parameters embedded in the end of the lower rubber sleeve, casing structure parameters, central pipe structure parameters, upper rubber sleeve seat structure parameters and lower rubber sleeve seat structure parameters.

[0089] In one specific embodiment, in the rubber sleeve combined finite element parameterized model:

[0090] The boundary conditions include that the casing is set as fixed, the central pipe is set as lower end and radial displacement constraint, the upper rubber sleeve seat is set as fixed and the lower rubber sleeve is set as radial displacement constraint and axial unconstraint to extrude the lower rubber sleeve under pressure when injection operation is performed, and the lower rubber sleeve seat is set as fixed and the upper rubber sleeve is set as radial displacement constraint and axial unconstraint to extrude the lower rubber sleeve under pressure when oil testing operation is performed.

[0091] The contact relationship includes the contact relationship between the upper rubber sleeve and the middle rubber sleeve, the middle rubber sleeve and the lower rubber sleeve, the upper rubber sleeve and the center tube, the middle rubber sleeve and the center tube, the lower rubber sleeve and the center tube, the upper rubber sleeve and the upper rubber sleeve seat, and the lower rubber sleeve and the lower rubber sleeve seat, and the interaction between the contact surfaces includes the normal action of the contact surfaces, the tangential action of the contact surfaces, and the sliding friction coefficient between the tangential contact surfaces.

[0092] In one specific embodiment, the rubber sleeve simulation analysis result includes the rubber sleeve combination Mises stress distribution and the rubber sleeve combination contact stress distribution under different setting loads.

[0093] In one specific embodiment, the evaluation index for evaluating the sealing effect of the packer includes a rubber performance evaluation index and a rubber sleeve performance evaluation index.

[0094] In one specific embodiment, the rubber performance evaluation index includes at least one of hardness, tensile strength, elongation at break, 50% tensile modulus, permanent compression deformation rate, appearance detection, and rapid gas decompression. The rubber sleeve performance evaluation index includes at least one of a stress permission index and a contact stress index. The stress permission index is used to evaluate whether the maximum value of the equivalent stress of the rubber sleeve and the metal skeleton after the packer is set is within a preset range. The contact stress index is used to evaluate whether the contact stress between the rubber sleeve and the casing is greater than the gas channeling pressure of any side, so as to ensure that the upper or lower gas channeling cannot pass through the contact surface of the rubber sleeve and the casing.

[0095] In one specific embodiment, the contact stress index includes at least one of a surface pressure, a rubber sleeve compression rate, and a sealing coefficient. The surface pressure represents the contact stress on a closed surface formed by a plurality of closed curves. The rubber sleeve compression rate represents the ratio of the axial compression amount of the packer rubber sleeve in the normal working state to the axial length before compression. The sealing coefficient represents the product of the contact stress between the rubber sleeve and the well wall and the contact area between the rubber sleeve and the well wall.

[0096] The device embodiments described above are merely illustrative, wherein the units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment scheme according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0097] Device embodiments

[0098] The device for optimizing design of the packer rubber sleeve provided by the embodiment of the application comprises a computing workstation, the device for optimizing design of the packer rubber sleeve and the database realized by the device are arranged on the computing workstation, and the database is in communication connection with the device for optimizing design of the packer rubber sleeve. The data stored by the database comprises measured data of mechanical properties of rubber materials.

[0099] Preferably, the computing workstation is a high-performance computing workstation, so as to improve the efficiency of the optimization design of the packer rubber sleeve.

[0100] In order to realize the optimization design of the packer rubber sleeve of the retrievable packer under high temperature and high pressure, in a specific application, the device for optimizing design of the packer rubber sleeve is realized by using computer-aided design and finite element analysis tools. By using computer-aided design, a visualized automatic design application program of the packer rubber sleeve of the retrievable packer under high temperature and high pressure is developed by using, for example, a python language, and the application program is defined as an automatic design simulator of the packer rubber sleeve of the retrievable packer under high temperature and high pressure. The simulator is combined with Abaqus finite element analysis software, and specifically refers to the following steps:

[0101] The simulator obtains measured data of mechanical properties of rubber materials of the rubber sleeve under the expected service temperature of the research well, that is, provides a visual window for a user to input the measured data of mechanical properties of the rubber materials of the rubber sleeve.

[0102] Through communication between the simulator and the Abaqus finite element analysis software, the measured data of mechanical properties of the rubber materials of the rubber sleeve obtained by the simulator are imported into a hyperelastic material module of the Abaqus finite element analysis software, a rubber constitutive model fitting is performed by the Abaqus finite element analysis software, and a suitable rubber constitutive model is automatically selected according to a fitting result.

[0103] In addition to the measured data of mechanical properties of the rubber materials of the rubber sleeve, the simulator also obtains rubber sleeve structure parameters of the research well and metal skeleton structure parameters in the packer determined by the user in advance, that is, provides a visual window for the user to input the rubber sleeve structure parameters of the research well and the metal skeleton structure parameters in the packer.

[0104] Through communication between the simulator and the Abaqus finite element analysis software, the rubber sleeve structure parameters and the metal skeleton structure parameters in the packer obtained by the simulator are imported into the Abaqus finite element analysis software as input parameters.

[0105] The simulator also obtains temperature load and pressure load of the rubber sleeve under the specific completion and oil testing conditions of the research well, that is, provides a visual window for the user to input the temperature load and the pressure load, and through communication between the simulator and the Abaqus finite element analysis software, the temperature load and the pressure load obtained by the simulator are imported into the Abaqus finite element analysis software as input parameters.

[0106] Abaqus finite element analysis software is used to build the finite element parameterized model of the rubber sleeve combination;

[0107] Abaqus finite element analysis software is used to simulate and analyze the finite element parameterized model of the rubber sleeve combination, specifically to simulate the setting, sealing and unsetting behaviors of the rubber sleeve combination under temperature and pressure loads, and output the rubber sleeve simulation analysis results, and then transfer the rubber sleeve simulation analysis results to the simulator;

[0108] The simulator analyzes the performance of the rubber material under the temperature medium conditions of the research well, obtains the rubber material performance analysis results, and evaluates the sealing effect of the packer according to the rubber material performance analysis results and the rubber sleeve simulation analysis results, outputs the evaluation results, and then determines the optimal design scheme of the rubber sleeve according to the evaluation results, so as to be used for designing or optimizing the packer of the research well. Here, a visual window can be provided, so that the user can determine the optimal design scheme of the rubber sleeve according to the visual evaluation results, or the simulator can automatically recommend the optimal design scheme of the rubber sleeve according to the visual evaluation results combined with expert experience.

[0109] Based on this, the functional composition block diagram of the packer rubber sleeve optimization design device is shown in FIG. 12. The above-mentioned simulator executes step SS100 in method embodiment two through the first acquisition module 410, executes step SS300 through the second acquisition module 414, executes SS600 in the method embodiment through the analysis module 419, executes SS700 in the method embodiment through the evaluation module 420, and executes SS800 in the method embodiment through the optimal design module 422. Abaqus finite element analysis software executes SS200 in the method embodiment through the first determination module 412, executes SS400 in the method embodiment through the model building module 416, and executes SS500 in the method embodiment through the simulation simulation module 418.

[0110] In one specific embodiment, the database uses SQL server.

[0111] The packer rubber sleeve optimization design device realized by the above-mentioned embodiments can quickly complete the construction, simulation analysis calculation and sealing effect evaluation of the finite element parameterized model of the rubber sleeve combination by combining computer-aided design and finite element simulation analysis tools, improves the efficiency of the packer rubber sleeve optimization design, and is simple to operate. At the same time, thanks to the high-performance computing workstation and the database, it is also convenient for functional expansion.

[0112] The packer rubber sleeve optimization design device of the above-mentioned embodiments is used to perform the optimal design of the high-temperature and high-pressure retrievable packer rubber sleeve required for the target well, and the specific optimal design process is as follows:

[0113] Step A1, start the high-performance computing workstation, configure the required supporting software, including the high-temperature and high-pressure retrievable packer rubber sleeve automatic design application, Abaqus finite element analysis software and SQL server, etc.

[0114] Step A2, input the measured data of the mechanical properties of the rubber material of the rubber sleeve at the expected service temperature of the research well, the pre-determined structure parameters of the rubber sleeve of the research well, the metal skeleton structure parameters in the packer, the temperature and pressure load determined by the specific completion and oil test working conditions of the rubber sleeve in the research well, and all of them are transmitted to the Abaqus finite element analysis software as input parameters.

[0115] Step A3, in the component module of the Abaqus finite element analysis software, call the three-dimensional entity rotation modeling function module to create the rubber sleeve and the spring ring, and the created rubber sleeve and spring ring are shown in Figures 2 to 5. Among them, when drawing the rubber sleeve profile, use the Line function to draw a straight line, use the FilletByRadius function to draw a chamfer, and use the ConstructionLine function to determine the angles of the rubber sleeve profile such as α1, α2, etc. When creating the spring ring model, the cylindrical coordinate function is used, which is as follows: θ = 1 ~ 360. The cylindrical coordinate function is used to determine the coordinates of the space points on the spring ring, and then the spline curve function WireSpline is used to connect these space points to form a smooth space curve, and finally the BeamSection function is used to assign the space curve profile characteristics to generate the spring ring.

[0116] Step A4, in the component module of the Abaqus finite element analysis software, call the EmbeddedRegion function to embed the spring ring into the end of the upper rubber sleeve and the lower rubber sleeve, respectively.

[0117] Step A5, in the component module of the Abaqus finite element analysis software, use the measured data of the mechanical properties of the rubber material to fit the rubber constitutive model, and determine the key parameters of the rubber constitutive model. The uniaxial tensile test curve in the measured data of the mechanical properties of the rubber material is shown in Figure 6, and the equal biaxial tensile test curve in the measured data of the mechanical properties of the rubber material is shown in Figure 7.

[0118] Step A6, in the component module of ABAQUS finite element analysis software, a rubber sleeve combination parameterized finite element model is established. The assembly structure of the rubber sleeve combination parameterized finite element model is shown in Fig. 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 center pipe, a sleeve, an upper rubber sleeve seat and a lower rubber sleeve seat. The boundary conditions of the rubber sleeve combination parameterized finite element model include: the sleeve is set as fixed; the center pipe is set as lower end and radial displacement constraint; when the injection operation is performed, the upper rubber sleeve seat is set as fixed, the lower rubber sleeve is set as radial displacement constraint and axial constraint, and the lower rubber sleeve is extruded under the action of pressure; when the oil testing operation is performed, the lower rubber sleeve seat is set as fixed, the upper rubber sleeve is set as radial displacement constraint and axial constraint, and the lower rubber sleeve is extruded under the action of pressure. The contact relationship between the upper rubber sleeve and the middle rubber sleeve, between the middle rubber sleeve and the lower rubber sleeve, between the upper rubber sleeve and the center pipe, between the middle rubber sleeve and the center pipe, between the lower rubber sleeve and the center pipe, between the upper rubber sleeve and the upper rubber sleeve seat, and between the lower rubber sleeve and the lower rubber sleeve seat is established in the rubber sleeve combination finite element parameterized model. The interaction between the contact surfaces includes: normal action of the contact surface, tangential action of the contact surface, and sliding friction coefficient between the tangential contact surfaces.

[0119] Step A7, submitting the operation, performing the packer rubber sleeve setting, pressure stabilization and unsetting calculation and analysis.

[0120] Step A8, evaluating the rubber material performance analysis result and the rubber sleeve simulation analysis result. The rubber sleeve simulation analysis result includes the Mises stress distribution of the rubber sleeve combination of the packer and the contact stress distribution diagram of the rubber sleeve combination of the packer under different setting loads, as shown in Figs. 9-10.

[0121] Step A9, determining the optimization design scheme of the rubber sleeve according to the evaluation result. The optimization design scheme is used for designing or improving the rubber sleeve of the packer required by the target well.

[0122] In another aspect, the embodiment of the present application also provides a machine readable storage medium, which stores a computer program. The computer program is executed by a processor to implement the packer rubber sleeve optimization design method in the above-mentioned method embodiments one or two.

[0123] In one embodiment, the packer rubber sleeve optimization design device 400 provided by the present application can be realized in the form of a computer program, which can run on a computer device as shown in Fig. 12. The memory of the computer device can store various program modules constituting the packer rubber sleeve optimization design device 400. The computer program composed of various program modules makes the processor execute the steps in the packer rubber sleeve optimization design method described in the specification.

[0124] The embodiment of the present application also provides a computer program product, which is adapted to execute the program initialized with the following method steps when executed on a data processing device:

[0125] Obtaining measured data of mechanical properties of the rubber material of the rubber sleeve at an expected service temperature of the research well;

[0126] Performing rubber constitutive model fitting using the measured data of mechanical properties, and determining a target rubber constitutive model according to a fitting result;

[0127] Obtaining predetermined structure parameters of the rubber sleeve and structure parameters of a metal skeleton in the packer of the research well;

[0128] Constructing a rubber sleeve combined finite element parameterized model using the measured data of mechanical properties, the structure parameters of the rubber sleeve, and the structure parameters of the metal skeleton;

[0129] Obtaining temperature and pressure loads of the rubber sleeve under a specific well completion and oil testing condition of the research well, and performing simulation analysis of the rubber sleeve combined finite element parameterized model under the temperature and pressure loads in combination with the target rubber constitutive model to obtain rubber sleeve simulation analysis results;

[0130] Evaluating sealing effects of the packer using the rubber sleeve simulation analysis results, and outputting evaluation results;

[0131] Determining an optimized design scheme of the rubber sleeve according to the evaluation results, so as to be used for designing or optimizing the packer of the research well.

[0132] Those skilled in the art will understand that embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage media, etc.) containing computer-usable program code.

[0133] It should also be noted that the terms "comprising", "containing", or any other variant thereof are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements, but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without more limitations, an element defined by the phrase "comprising a" does not exclude the existence of additional identical elements in the process, method, article, or apparatus that includes the element.

[0134] It should be pointed out finally that the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit the same; and although the present application has been described in detail with reference to the foregoing embodiments, it should be appreciated by those skilled in the art that the technical solutions recorded in the foregoing embodiments can be modified, or some technical features thereof can be replaced equivalently; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for optimizing the design of a packer cup, comprising: The method comprises: acquiring measured data of mechanical properties of rubber material of the rubber sleeve at an expected service temperature of the research well; performing rubber constitutive model fitting using the measured data of mechanical properties, and determining a target rubber constitutive model according to a fitting result; acquiring predetermined structure parameters of the rubber sleeve of the research well and structure parameters of a metal skeleton inside the packer; constructing a rubber sleeve combined finite element parameterized model using the measured data of mechanical properties, the structure parameters of the rubber sleeve, and the structure parameters of the metal skeleton; acquiring temperature and pressure loads of the rubber sleeve under a specific completion and testing condition of the research well, and performing simulation analysis of the rubber sleeve combined finite element parameterized model under the temperature and pressure loads in combination with the target rubber constitutive model to obtain rubber sleeve simulation analysis results; evaluating sealing effect of the packer using the rubber sleeve simulation analysis results, and outputting evaluation results; determining an optimized design scheme of the rubber sleeve according to the evaluation results, so as to be used for designing or optimizing the packer of the research well.

2. The method of claim 1, wherein, The method further comprises: analyzing performance of the rubber material under temperature medium conditions of the research well to obtain rubber material performance analysis results; evaluating sealing effect of the packer using the rubber material performance analysis results, and outputting evaluation results.

3. The method of claim 1, wherein, The measured data of mechanical properties include uniaxial tensile measured data, biaxial tensile measured data, rubber high-temperature creep measured data, and rubber medium aging resistance measured data.

4. The method of claim 1, wherein, The structure parameters of the rubber sleeve include structure parameters of an upper rubber sleeve, a middle rubber sleeve, and a lower rubber sleeve, and the structure parameters of the metal skeleton include structure parameters of spring rings embedded at end portions of the upper rubber sleeve and the lower rubber sleeve, a casing, a center pipe, an upper rubber sleeve seat, and a lower rubber sleeve seat.

5. The method of claim 1, wherein, In the rubber sleeve combined finite element parameterized model: boundary conditions include that the casing is set as fixed, the center pipe is set as lower end and radial displacement constraint, the upper rubber sleeve seat is set as fixed and the lower rubber sleeve is set as radial displacement constraint and axial unconstraint to extrude the lower rubber sleeve under pressure when injection operation is performed, and the lower rubber sleeve seat is set as fixed and the upper rubber sleeve is set as radial displacement constraint and axial unconstraint to extrude the lower rubber sleeve under pressure when testing operation is performed; contact relationships include contact relationships between the upper rubber sleeve and the middle rubber sleeve, between the middle rubber sleeve and the lower rubber sleeve, between the upper rubber sleeve and the center pipe, between the middle rubber sleeve and the center pipe, between the lower rubber sleeve and the center pipe, between the upper rubber sleeve and the upper rubber sleeve seat, and between the lower rubber sleeve and the lower rubber sleeve seat, and interactions between contact surfaces include normal action of the contact surfaces, tangential action of the contact surfaces, and sliding friction coefficient between tangential contact surfaces.

6. The method of packer element design optimization of claim 1, wherein, The rubber sleeve simulation analysis results include rubber sleeve combined Mises stress distribution and rubber sleeve combined contact stress distribution under different setting loads.

7. The method of packer element design optimization of claim 2, wherein, Evaluation indexes for evaluating sealing effect of the packer include rubber performance evaluation indexes and rubber sleeve performance evaluation indexes.

8. The method of packer element design optimization of claim 7, wherein, The rubber performance evaluation index includes at least one of hardness, tensile strength, elongation at break, 50% tensile modulus, permanent compression set, appearance inspection and rapid gas decompression, the rubber sleeve performance evaluation index includes at least one of stress permission index and contact stress index, the stress permission index is used for evaluating whether the maximum value of the equivalent stress of the rubber sleeve and the metal skeleton after the packer is set is within a preset range, and the contact stress index is used for evaluating whether the contact stress between the rubber sleeve and the casing is greater than the gas channeling pressure of any one side.

9. The method of packer element design optimization of claim 8, wherein, The contact stress index includes at least one of surface pressure, rubber sleeve compression rate and sealing coefficient, the surface pressure represents the contact stress on the closed surface formed by a plurality of closed curves, the rubber sleeve compression rate represents the ratio of the axial compression amount of the packer rubber sleeve in the normal working state to the axial length before compression, and the sealing coefficient represents the product of the contact stress between the rubber sleeve and the well wall and the contact area between the rubber sleeve and the well wall.

10. A packer element design optimization device, comprising: The device comprises: A first acquisition module configured to acquire measured data of mechanical properties of rubber sleeve material at an expected service temperature of a research well; A first determination module configured to perform rubber constitutive model fitting using the measured data of mechanical properties, and determine a target rubber constitutive model according to a fitting result; A second acquisition module configured to acquire pre-determined rubber sleeve structure parameters of the research well and metal skeleton structure parameters in the packer; A model construction module configured to construct a rubber sleeve combined finite element parameterized model using the measured data of mechanical properties, the rubber sleeve structure parameters and the metal skeleton structure parameters; A simulation and emulation module configured to obtain temperature and pressure loads of the rubber sleeve under specific completion and oil testing conditions of the research well, and perform simulation analysis of the rubber sleeve combined finite element parameterized model under the temperature and pressure loads in combination with the target rubber constitutive model, to obtain rubber sleeve simulation and analysis results; An evaluation module configured to evaluate sealing effect of the packer using the rubber sleeve simulation and analysis results, and output an evaluation result; An optimization design module configured to determine an optimized design scheme of the rubber sleeve according to the evaluation result, to be used for designing or optimizing the packer of the research well.

11. The packer element design optimization apparatus of claim 10, wherein, The device further comprises an analysis module configured to analyze performance of the rubber material under temperature medium conditions of the research well, to obtain rubber material performance analysis results, and the evaluation module is further configured to evaluate the sealing effect of the packer using the rubber material performance analysis results, and output an evaluation result.

12. The packer element design optimization apparatus of claim 11, wherein, The evaluation index for evaluating the sealing effect of the packer includes rubber performance evaluation index and rubber sleeve performance evaluation index.

13. The packer element design optimization apparatus of claim 12, wherein, The rubber performance evaluation index includes at least one of hardness, tensile strength, elongation at break, 50% tensile modulus, permanent compression set, appearance inspection and rapid gas decompression, the rubber sleeve performance evaluation index includes at least one of stress permission index and contact stress index, the stress permission index is used for evaluating whether the maximum value of the equivalent stress of the rubber sleeve and the metal skeleton after the packer is set is within a preset range, and the contact stress index is used for evaluating whether the contact stress between the rubber sleeve and the casing is greater than the gas channeling pressure of any one side.

14. A packer element design optimization device, comprising: The packer element optimization design device of any one of claims 10-13 is configured on a computing workstation, the computing workstation being further configured with a database, the packer element optimization design device being communicatively connected with the database.

15. A machine-readable storage medium having stored thereon a computer program, characterized in that, The computer program, when executed by a processor, implements the packer element optimization design method of any one of claims 1-9.

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