CN115859538A - Residual life evaluation method and system for oil slurry system, electronic equipment and storage medium - Google Patents
Residual life evaluation method and system for oil slurry system, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a residual life evaluation method of an oil slurry system, which comprises the following steps: establishing a preset parameter set of a catalytic cracking slurry oil system; dividing a plurality of units, and collecting parts with the same parameters in the established preset parameter set into the same unit; obtaining actual erosion rates for the individual cells; determining the residual life of each unit according to the residual life evaluation model; and determining the residual life of the slurry oil system according to the residual life of each unit. The invention also discloses a residual life evaluation system of the slurry oil system, electronic equipment and a storage medium. The invention considers the abrasion and corrosion effects at the same time, comprehensively considers the influences of the process, the equipment body, corrosive substances and protective measures from the mechanism, scientifically and quantitatively calculates the actual abrasion rate, realizes the reliable soft measurement of the synergic abrasion effect of the mechanical abrasion and corrosion and the real-time tracking and early warning of the residual life of the equipment and the pipeline, and the calculation result is closer to the field reality.
Description
Technical Field
The invention relates to the technical field of petrochemical industry, in particular to a method and a system for evaluating residual life of a catalytic cracking slurry oil system, electronic equipment and a storage medium.
Background
The catalytic cracking slurry oil is a catalytic cracking fractionating tower bottom product, is a solid-liquid mixed phase system containing solid catalyst particles, and is powered by a slurry oil pump to establish the processes of tower bottom slurry oil circulation, slurry oil remill and slurry oil external throwing. However, the catalyst particles mixed in the slurry oil can cause mechanical abrasion to the slurry pump and pipelines during the transportation process, especially the parts with high flow speed and abrupt flow state. In addition, the catalytic slurry oil is generally poor in property, under a high-temperature harsh working condition, corrosive media in the slurry oil can corrode equipment and pipelines, the corrosion and mechanical wear synergistic effect can aggravate the damage of the equipment and pipelines, and great hidden dangers are brought to the safety production of the device.
At present, a thickness measuring method is mainly adopted for monitoring damage of an oil slurry system and evaluating residual life, the method is simple and convenient, and preventive protection measures can be taken for parts which are seriously thinned, so that leakage is avoided. However, the thickness measuring method has several problems: (1) The method belongs to single-point detection, the selection of a detection part usually depends on the experience of technicians, and missed detection is easy to occur; (2) The operation temperature of the catalytic slurry lateral line is up to more than 300 ℃, a high-temperature probe and a high-temperature coupling agent are needed for thickness measurement of a high-temperature part, the technical and cost requirements are high, the manual thickness measurement efficiency is low, and the danger is large; (3) The future extension to the local thinning of the abrasion can only be estimated from practical and empirical use. Therefore, a residual life evaluation method needs to be developed for a catalytic cracking slurry oil system, so that the comprehensiveness, accuracy, reliability and safety of the slurry oil system damage monitoring and residual life evaluation are improved.
In the prior art, a method for predicting the corrosion residual life of a high-temperature part of an oil refining device is adopted, a least square support vector machine method is utilized, a mathematical model among an acid value, a total sulfur content, a temperature, a flow rate and corrosion is established to predict the corrosion rate, and the corrosion residual life is calculated through the measured average residual wall thickness and the minimum required wall thickness; in addition, the prior art has a device residual life prediction method, a deep confidence network is trained by adopting historical operating data, and a mathematical model is established to predict the device residual life based on a diffusion process and a nonlinear random degradation process. The methods are based on data driving or are not connected with equipment damage mechanisms, the data training and learning and the mathematical prediction model establishing process have high requirements on data quality, a large number of long-term online monitoring data samples are needed, the monitoring of process parameters and corrosion rate completely covers the whole evaluation object, and otherwise, the machine learning and prediction model accuracy rate and universality are low. At present, due to the cost and the technology, online corrosion monitoring is not widely applied, and the acquisition of basic data is difficult.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
One of the objectives of the present invention is to provide a method, a system, an electronic device, and a storage medium for evaluating the remaining life of an oil slurry system, so as to improve the accuracy of evaluating the remaining life of the oil slurry system.
The invention further aims to provide a method, a system, an electronic device and a storage medium for evaluating the residual life of an oil slurry system, so as to solve the problems that the full-coverage inspection of the oil slurry system is difficult to realize by online monitoring under severe working conditions, the measurement is not representative, weak parts are easy to miss at risk, and the prediction result of the residual life deviates from the actual situation.
Another objective of the present invention is to provide a method, a system, an electronic device, and a storage medium for evaluating remaining life of an oil slurry system, so as to reduce requirements for raw data and improve accuracy and universality.
To achieve the above object, according to a first aspect of the present invention, there is provided a method for evaluating remaining life of a slurry oil system, including: establishing a preset parameter set of a catalytic cracking slurry oil system; dividing a plurality of units, and collecting parts with the same parameters in the established preset parameter set into the same unit; obtaining actual erosion rates for the individual cells; determining the residual life of each unit according to the residual life evaluation model; and determining the residual life of the slurry oil system according to the residual life of each unit.
Further, in the above technical solution, the preset parameter set includes material medium parameters, process parameters, and equipment parameters.
Further, in the above technical solution, the material medium parameters include physical property parameters and composition parameters; the technological parameters comprise the temperature, pressure, flow and flow speed of different parts in the slurry oil system; the equipment parameters comprise the material, structure, model, original wall thickness, years of service, current wall thickness and protective measures of equipment, pipelines and pipe fittings in the oil slurry system.
Further, in the above technical scheme, the physical property parameters include density, viscosity, boiling point and average molecular mass; the composition parameters include solid content, sulfur content, chlorine content, and nitrogen content.
Further, in the above technical scheme, the composition parameters further include sulfur morphology distribution, active sulfur content, colloid content, asphaltene content, and solid impurity composition, morphology, and particle size distribution.
Further, in the above-described solution, the actual erosion rate is obtained by direct monitoring, or by the sum of the erosion rate and the wear rate.
Further, in the above-described technical solution, when the actual erosion rate is obtained by summing the erosion rate and the wear rate, the erosion rate R = F 1 (T)*F 2 Wherein T is temperature, F 1 Is a material contribution value, F 2 Is the sum of the contribution values of corrosive substances; the wear rate was obtained by flow field simulation.
Further, in the above technical scheme, F 1 (T)＝aT 2 + bT + c, where a, b, and c are parameters related to material.
Further, in the above technical scheme, F 2 ＝∑F 2 (w i )＝∑k i *(0.2665ln(w i ) + 0.3272) where w i Is the content of each type of active sulfur, k i Is an active sulfur factor.
Further, in the above technical scheme, when the corrosion inhibitor is added into the system, the actual abrasion rate is C = (1-F) 3 (m))*(R+V)，F 3 (m) represents the slow release effect of the corrosion inhibitor, and F is more than or equal to 0 3 (m)＜1。
Further, in the above technical solution, determining the remaining life of each cell according to the remaining life evaluation model includes:
extracting the current wall thickness L in a preset parameter set;
determining the minimum pressure-bearing wall thickness H;
inputting the current wall thickness L, the minimum pressure-bearing wall thickness H and the actual abrasion rate C into a residual life evaluation model, and calculating the residual life S of each unit:
further, in the above technical solution, the current wall thickness L is determined according to the following priority:
actual measured specific data by adopting a thickness measuring method;
the wall thickness data measured by the latest shutdown overhaul detection or maintenance is calibrated to obtain the wall thickness data; or
Obtained by calibrating the original wall thickness.
Further, the above technologyIn the operation scheme, the measured wall thickness data L is detected or maintained through the last shutdown overhaul 1 Calibrating to obtain the current wall thickness L as:
taking the time point of the latest wall thickness measurement as a starting point, and calculating the service time t from the time point to the current time point 1 The actual abrasion rate distribution of (1) is taken as the average value C of the actual abrasion rates a Then L = L 1 -t 1 *C a ；
Through the original wall thickness L 0 Calibrating to obtain the current wall thickness L as:
calculating the actual abrasion rate distribution in the service time t from the time of the automatic switching, and taking the average value C of the actual abrasion rates b Then L = L 0 -t*C b 。
Further, in the above technical scheme, the minimum pressure-bearing wall thickness H of the equipment in the slurry oil system is a corrosion allowance; the minimum bearing wall thickness H of the pipeline in the slurry oil system is the maximum value of the following two items H1 and H2:
H1＝D 0 /150, wherein D 0 Is the outside diameter of the pipeline;
h2 is the minimum pressure-bearing wall thickness obtained according to the nominal diameter DN and the material of the pipeline.
Further, in the above technical solution, the remaining life SS of the slurry oil system is the minimum value of the remaining life S of all units,
further, in the above technical solution, the method for evaluating the remaining life of the slurry oil system further includes: and setting a residual life limit value, and triggering an overrun alarm when the determined residual life of the slurry oil system is lower than the residual life limit value.
According to a second aspect of the present invention, the present invention provides a residual life evaluation system for an oil slurry system, comprising: the parameter acquisition module is used for acquiring a preset parameter set of the catalytic cracking slurry system and gathering parts with the same parameters to the same unit so as to divide a plurality of units; an actual abrasion rate calculation module for calculating an actual abrasion rate of each cell based on the acquired preset parameter set; and the residual life evaluation module is used for determining the residual life of each unit according to the residual life evaluation model so as to determine the residual life of the slurry system.
According to a third aspect of the invention, there is provided an electronic device comprising: at least one processor; and a memory communicatively coupled to the at least one processor; the storage stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor executes the method for evaluating the remaining life of the oil slurry system according to any one of the above technical solutions.
According to a fourth aspect of the present invention, there is provided a non-transitory computer-readable storage medium storing computer-executable instructions for causing a computer to execute the method for evaluating remaining life of a slurry oil system according to any one of the above aspects.
Compared with the prior art, the invention has one or more of the following advantages:
1. the invention considers the abrasion and corrosion effects at the same time, comprehensively considers the influences of the process, the equipment body, corrosive substances and protective measures from the mechanism, scientifically and quantitatively calculates the actual abrasion rate, realizes reliable soft measurement of the synergic abrasion effect of the mechanical abrasion and corrosion and real-time tracking and early warning of the residual service life of the equipment and the pipeline, and the calculation result is closer to the field reality.
2. The invention can predict the abrasion rate and the residual life of any part of the whole oil slurry system, avoids single-point limitation based on a monitoring method, prevents missing risk parts, achieves full coverage and has high accuracy.
3. The method has the advantages that strongly relevant parameters in the original data are extracted during model calculation based on the mechanism, the method is more specific and reasonable, does not depend on big data processing, has low requirements on data volume and online monitoring, can meet the requirements of enterprises with low intelligent degree, enterprises with insufficient data management and newly built devices with insufficient data accumulation, and is high in calculation efficiency, result accuracy and universality.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical means of the present invention more clearly understood and to make the technical means implementable in accordance with the content of the description, and to make the above and other objects, technical features, and advantages of the present invention more comprehensible, one or more preferred embodiments are listed below, and are described in detail below with reference to the accompanying drawings.
Drawings
Fig. 1 is a flowchart of a remaining life evaluation method for a slurry oil system according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a hardware configuration of an electronic device for executing a method for evaluating remaining life of an oil slurry system according to an embodiment of the present invention.
Detailed Description
The following detailed description of the present invention is provided in conjunction with the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.
Throughout the specification and claims, unless explicitly stated otherwise, the word "comprise", or variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.
Spatially relative terms, such as "under", "below", "lower", "upper", "over", "upper", and the like, may be used herein for convenience in describing the relationship of one element or feature to another element or feature in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the object in use or operation in addition to the orientation depicted in the figures. For example, if the items in the figures are turned over, elements described as "below" or "beneath" other elements or features would then be oriented "above" the elements or features. Thus, the exemplary term "below" can encompass both an orientation of below and above. The articles may be otherwise oriented (rotated 90 degrees or at other orientations) and the spatially relative terms used herein should be interpreted accordingly.
As used herein, the terms "first," "second," and the like are used to distinguish two different elements or regions, and are not intended to define a particular position or relative relationship. In other words, the terms "first," "second," and the like may also be interchanged with one another in some embodiments.
As shown in fig. 1, the flow of the method for evaluating the remaining life of the slurry oil system according to the embodiment of the invention is as follows:
s110, establishing a preset parameter set of the catalytic cracking slurry oil system.
The preset parameter set can be established by a plurality of monitoring data sets of different parts of the catalytic cracking slurry oil system. Further, in one or more exemplary embodiments of the present invention, data collected into a preset parameter set is selected based on the erosion mechanism, including the primary influencing factor and excluding the interference of unrelated factors. The preset parameter sets may include material media parameters, process parameters, and equipment parameters. Illustratively, the material medium parameters include physical property parameters and composition parameters; the process parameters comprise temperature, pressure, flow and flow speed of different parts in the oil slurry system; the equipment parameters comprise the material, structure, model, original wall thickness, service years, current wall thickness and protective measures of equipment, pipelines and pipe fittings in the oil slurry system. Illustratively, the physical property parameters include density, viscosity, boiling point, and average molecular mass; the composition parameters include solid content, sulfur content, chlorine content, and nitrogen content. The composition parameters may also include sulfur morphology distribution, active sulfur content, gum content, asphaltene content, and solid impurity composition, morphology, and particle size distribution. Illustratively, the protective measures include the case of filling a corrosion inhibitor, the case of coating a protective layer on the device body, and the like.
S120, dividing a plurality of units, and collecting the parts with the same parameters in the established preset parameter set into the same unit.
In order to improve the calculation efficiency, parts with the same parameters are divided into the same unit according to the type and the value of the data, and the subsequent steps are carried out according to the unit. The parts having the same parameters, for example, parallel lines, a draw-off side line at the same part, and the like.
S130 obtains the actual erosion rate of each cell.
Further, in one or more exemplary embodiments of the present invention, the actual erosion rate may be directly measured using a monitoring means, such as an on-line probe, or may be obtained according to an actual erosion rate calculation model, i.e., the actual erosion rate is the sum of the erosion rate and the wear rate. It should be understood that the present invention is not limited thereto, and the erosion rate may also be weighted according to actual needs, or obtained using other algorithms.
The corrosion rate R and wear rate V of each cell were calculated separately.
Corrosion rate: r = F 1 (T)*F 2 Wherein T is temperature, F 1 Is a material contribution value, F 2 Is the sum of the contribution values of corrosive substances. In one or more embodiments, F 1 (T)＝aT 2 + bT + c, where a, b, and c are parameters related to material. In the case of sulfur corrosion, F 2 ＝∑F 2 (w i )＝∑k i *(0.2665ln(w i ) + 0.3272) wherein w i Is the content of each type of active sulfur, k i Is an active sulfur factor. It should be understood that the invention is not limited thereto, and the above is the case of considering only sulfur corrosion, and when there are a plurality of corrosive substances, the contribution value of each corrosion can be calculated separately and summed to obtain F 2 . a. b and c can be obtained through experiments and are shown in table 1; k is a radical of formula i Can be obtained by sulfur composition distribution as shown in table 2. The corrosion rate calculation model includes active sulfur instead of total sulfur as corrosion control factors, so that the corrosion rate calculation model is more in line with a sulfur corrosion mechanism, as the non-active sulfur does not contribute to corrosion, and the active sulfur content and the corrosivity in different raw material media with the same total sulfur are different, so that the active sulfur is more accurately calculated.
TABLE 1 values of parameters for several typical materials
| Material of | Carbon steel | 1％～3％Cr | 4％～6％Cr | 9％Cr | 12％Cr | Stainless steel |
| a | 6×10 -5 | 4×10 -5 | 2×10 -5 | 7×10 -6 | 3×10 -6 | 9×10 -7 |
| b | -0.029 | -0.0197 | -0.0107 | -0.0034 | -0.0012 | -0.0005 |
| c | 3.4408 | 2.4516 | 1.374 | 0.411 | 0.1543 | 0.0647 |
TABLE 2k of several active sulfur types i Value of
| Type of active sulfur | Elemental sulfur | Hydrogen sulfide | Disulfide ethers | Thioethers | Thiols | Disulfide compounds |
| k i | 4.3 | 2 | 3.5 | 1.8 | 1 | 1.4 |
The wear rate can be obtained by flow field simulation. Illustratively, the steps are: establishing a geometric model of a simulation part and dividing a grid; then setting physical property parameters and initializing boundary conditions, wherein an inlet is set as a speed inlet, and an outlet is set as a pressure outlet; and selecting an erosion calculation model, and executing flow field simulation by adopting simulation software to obtain the wear rate.
When a corrosion inhibitor is added to the system, the actual abrasion rate is C = (1-F) 3 (m))*(R+V)，F 3 (m) represents the slow release effect of the corrosion inhibitor, F is more than or equal to 0 3 (m)＜1。F 3 (m) closer to 0, less pronounced the sustained release effect, F 3 The closer to 1 (m), the more remarkable the sustained-release effect. F 3 (m) is related to the type, manufacturer, production batch, model and injection amount of the corrosion inhibitor, and can be obtained by performing corrosion inhibitor evaluation tests.
S140 determines the remaining life of each cell according to the remaining life evaluation model.
Further, in one or more exemplary embodiments of the present invention, S140 includes the steps of:
s141 extracts the current wall thickness L in the preset parameter set.
Further, in one or more exemplary embodiments of the present invention, the current wall thickness L is actually measured using a thickness measurement method; if the wall thickness data cannot be provided, the wall thickness data is obtained through the calibration of the latest shutdown overhaul detection or maintenance detection; if the shutdown overhaul detection or maintenance does not measure the wall thickness of the part, the wall thickness is obtained by calibrating the original wall thickness.
Further, in one or more exemplary embodiments of the invention, the measured wall thickness data L is checked or maintained by the last downtime 1 Calibrating to obtain the current wall thickness L as: taking the time point of the latest wall thickness measurement as a starting point, and calculating the service time t from the time point to the current time point 1 The actual abrasion rate distribution of (1) is taken as the average value C of the actual abrasion rates a Then L = L 1 -t 1 *C a . Through the original wall thickness L 0 Calibrating to obtain the current wall thickness L as: calculating the actual abrasion rate distribution in the service time t from the time of the automatic switching, and taking the average value C of the actual abrasion rates b Then L = L 0 -t*C b 。
S142 determines the minimum bearing wall thickness H.
Further, in one or more exemplary embodiments of the present invention, the minimum bearing wall thickness H of the equipment in the slurry oil system is a corrosion margin; the minimum bearing wall thickness H of the pipeline in the slurry oil system is the maximum value of the following two items H1 and H2:
H1＝D 0 /150, wherein D 0 Is the outside diameter of the pipeline;
h2 is the minimum pressure-bearing wall thickness obtained according to the nominal diameter DN and the material of the pipeline. Illustratively, according to SH/T3059-2012 petrochemical pipeline design equipment selection specification, H2 is shown in table 3.
TABLE 3 minimum bearing wall thickness H2 of several materials
S143, inputting the current wall thickness L, the minimum pressure-bearing wall thickness H and the actual abrasion rate C into the residual life evaluation model, and calculating the residual life S of each unit:
s150, determining the residual service life of the slurry system according to the residual service life of each unit.
Illustratively, the remaining life SS of the slurry system is the minimum of the remaining lives S of all units,
s160, setting a residual life limit value, and triggering an overrun alarm when the determined residual life of the slurry oil system is lower than the residual life limit value.
The residual life limit value can be set to different levels according to the characteristics of the device, the enterprise regulations, the risk prevention and control capability of the device and the expert experience, corresponding early warning prompts can be carried out according to the residual life, and the smaller the residual life of the catalytic cracking slurry oil system is, the larger the fault risk of the system is. Illustratively, sound and light early warning can be adopted, sound and light equipment with different warning colors and signal tones can be adopted for early warning according to the residual service life of the system, then variable speed warning tones and flashing warning lamps can be further adopted for early warning, and for the system with the smaller residual service life, the fast warning tones and the flashing warning lamps are adopted for early warning, or characters or symbols with different colors can be adopted for early warning.
The residual life evaluation system of the slurry oil system according to the embodiment of the invention comprises: the device comprises a parameter acquisition module, a parameter selection module and a parameter selection module, wherein the parameter acquisition module is used for acquiring a preset parameter set of a catalytic cracking slurry oil system and gathering parts with the same parameters to the same unit so as to divide a plurality of units; an actual abrasion rate calculation module for calculating an actual abrasion rate of each cell based on the acquired preset parameter set; and the residual life evaluation module is used for determining the residual life of each unit according to the residual life evaluation model so as to determine the residual life of the slurry oil system.
The method, system, electronic device and storage medium for predicting a factory floor gas pollution distribution according to the present invention will be described in more detail by way of examples, it being understood that the examples are illustrative only and that the invention is not limited thereto.
Example 1
This example is intended to illustrate the calculation method of the actual abrasion rate in the present invention.
And establishing a preset parameter set of the catalytic cracking slurry oil system. Straight pipe sections from an outlet of the slurry oil pump to the slurry oil-crude oil heat exchanger are collectively divided into a first unit, and pipelines from an outlet of the slurry oil-crude oil heat exchanger to an outlet of the slurry oil pump are collectively divided into a second unit. The first unit main parameters are: the temperature is 300 ℃, the pressure is 1.06MPa, the mass flow is 966t/h, the material quality of the pipeline is 5Cr0.5Mo, the nominal diameter DN550 of the pipeline, and the current wall thickness is 8mm; oil slurry medium density 872kg/m 3 Viscosity of 0.47cP, solid content of 2g/L, sulfur content of 1.46 percent, active sulfur content of 69.27mg/L, mercaptan type of active sulfur, silica-alumina catalyst as solid impurity, spherical shape, and average particle size of 23 μm. The second unit main parameters are: the temperature is 220 ℃, the pressure is 1.03MPa, the nominal diameter DN200 of the pipeline is 20# carbon steel, the original wall thickness L 0 =12mm, service for 5 years, periodically monitoring the actual abrasion rate by installing test hanging pieces in the pipeline in service time,the average value of the monitored actual abrasion rate in the service historical time is 0.193mm/a, and the material medium parameters are the same as those of the first unit.
Corrosion rate of the first cell R = F 1 (T)*F 2 ，F 1 (T)＝aT 2 +bT+c，F 2 ＝∑F 2 (w i )＝∑k i *(0.2665ln(w i ) + 0.3272) where T =300 ℃, a =2 × 10 -5 ，b＝-0.0107，c＝1.374，w i ＝0.006927％，k i And =1. The corrosion rate of the first cell R =0.036mm/a. When the first unit abrasion rate is calculated, a geometric model is established according to a unit physical structure by adopting three-dimensional modeling software, grids are divided, then medium physical property parameters such as density, viscosity, heat conductivity coefficient, specific heat capacity and the like are input, an inlet is set as a speed inlet, and an outlet is set as a pressure outlet; and then selecting a turbulent flow state, a mixed multiphase flow model and an erosion calculation model to avoid adopting a non-slip boundary condition, selecting elastic collision reflection for wall surface collision, selecting a classical SIMPLE algorithm and a first-order windward format for a control equation, executing simulation operation, and outputting a wear rate V =0.19mm/a. From the first cell erosion rate and first cell wear rate calculations, the first cell current actual erosion rate C =0.226mm/a is determined.
In the same way, a second cell erosion rate of 0.035mm/a, a wear rate of 0.27mm/a and an actual erosion rate C =0.305mm/a was determined.
Example 2
This example is a calculation method of the actual abrasion rate in consideration of the addition of the corrosion inhibitor on the basis of example 1.
The corrosion management of the equipment is enhanced by enterprises, corrosion inhibitor measures are taken, the corrosion inhibitor is an oil-soluble high-temperature corrosion inhibitor HS101 product of company A, and the evaluation index of the corrosion inhibitor is shown in Table 4.
TABLE 4 evaluation index of corrosion inhibitor
The corrosion inhibitor is injected into the oil slurry system in an amount of100μg/g，F 3 (m) =0.85, and the actual abrasion rate of the first unit is C' =0.034mm/a. Therefore, the corrosion inhibitor injection measure can greatly reduce the actual abrasion rate, and further improve the residual service life of the system.
Example 3
This example evaluates the remaining life of the slurry system based on example 1.
Extracting the current wall thickness L =8mm of the first unit in the preset parameter set of the system, and extracting the outer diameter D of the DN550 pipe 0 And =560mm, calculating H1=3.73 and H2=4.8, and taking the maximum value of the two to determine the minimum bearing wall thickness H =4.8 of the first unit. And then inputting the residual life calculation model according to the current wall thickness, the minimum pressure-bearing wall thickness and the actual abrasion rate to obtain the residual life of the first unit of 14.1 years.
Extracting the original wall thickness L of the second unit without the current wall thickness data of the second unit 0 =12mm, the actual abrasion rate mean value is determined to be 0.193mm/a from the actual abrasion rate distribution within 5 years of service time since commissioning, and the current wall thickness is calibrated to be 11mm. The nominal diameter DN200 of the extraction pipeline is 203mm, the outer diameter of the extraction pipeline is 20# carbon steel, the second unit H1=1.35, H2=3.2 are taken, and the maximum value of the two is used for determining the minimum pressure-bearing wall thickness H =3.2 of the second unit. And then inputting the residual life calculation model according to the current wall thickness, the minimum pressure-bearing wall thickness and the actual abrasion rate to obtain the residual life of the second unit of 25.5 years.
The remaining life SS of the slurry system is the minimum of the remaining lives of the two units, i.e. 14.1 years.
Example 4
The present embodiments provide a non-transitory (non-volatile) computer storage medium storing computer-executable instructions that can perform the methods of any of the method embodiments described above and achieve the same technical effects.
Example 5
The present embodiments provide a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the method of the above aspects and achieve the same technical effects.
Example 6
Fig. 2 is a schematic diagram of a hardware structure of an electronic device executing the method for evaluating the remaining life of the slurry system according to the embodiment. The device includes one or more processors 610 and memory 620. Take a processor 610 as an example. The apparatus may further include: an input device 630 and an output device 640.
The processor 610, the memory 620, the input device 630, and the output device 640 may be connected by a bus or other means, such as the bus connection in fig. 2.
The memory 620, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules. The processor 610 executes various functional applications and data processing of the electronic device, i.e., the processing method of the above-described method embodiment, by executing the non-transitory software programs, instructions and modules stored in the memory 620.
The memory 620 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data and the like. Further, the memory 620 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 620 optionally includes memory located remotely from the processor 610, which may be connected to the processing device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 630 may receive input numeric or character information and generate a signal input. The output device 640 may include a display device such as a display screen.
One or more modules are stored in the memory 620 that, when executed by the one or more processors 610, perform:
establishing a preset parameter set of a catalytic cracking slurry oil system;
dividing a plurality of units, and collecting parts with the same parameters in the established preset parameter set into the same unit;
obtaining actual erosion rates for the individual cells;
determining the residual life of each unit according to the residual life evaluation model;
and determining the residual life of the slurry oil system according to the residual life of each unit.
The product can execute the method provided by the embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to methods provided by other embodiments of the present invention.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a general hardware platform, and certainly can also be implemented by hardware. With this in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods of the various embodiments or some parts of the embodiments.
The foregoing descriptions of specific exemplary embodiments of the present invention have been presented for purposes of illustration and description. It is not intended to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain certain principles of the invention and its practical application to enable one skilled in the art to make and use various exemplary embodiments of the invention and various alternatives and modifications as are suited to the particular use contemplated. Any simple modifications, equivalent changes and modifications made to the above exemplary embodiments shall fall within the scope of the present invention.
Claims (17)
1. A residual life evaluation method of an oil slurry system is characterized by comprising the following steps:
establishing a preset parameter set of a catalytic cracking slurry oil system;
dividing a plurality of units, and collecting parts with the same parameters in the established preset parameter set into the same unit;
obtaining actual erosion rates for the individual cells;
determining the residual life of each unit according to the residual life evaluation model;
and determining the residual life of the slurry oil system according to the residual life of each unit.
2. The method of claim 1, wherein the predetermined parameter set comprises material medium parameters, process parameters and equipment parameters.
3. The method according to claim 2, wherein the material medium parameters include physical property parameters and composition parameters; the process parameters comprise temperature, pressure, flow and flow speed of different parts in the slurry oil system; the equipment parameters comprise the material, structure, model, original wall thickness, service years, current wall thickness and protective measures of equipment, pipelines and pipe fittings in the oil slurry system.
4. The method of claim 3, wherein the physical property parameters include density, viscosity, boiling point, and average molecular mass; the composition parameters include solid content, sulfur content, chlorine content, and nitrogen content.
5. The method of claim 4, wherein the composition parameters further include sulfur morphology distribution, active sulfur content, colloid content, asphaltene content, and solid impurity composition, morphology, and particle size distribution.
6. The method of claim 1, wherein the actual erosion rate is obtained by direct monitoring or by a sum of erosion rate and wear rate.
7. The method of claim 6, wherein when the actual erosion rate is obtained by summing the erosion rate and the wear rate,
the corrosion rate R = F 1 (T)*F 2 Wherein T is temperature, F 1 Is a material contribution value, F 2 Is the sum of the contribution values of corrosive substances;
the wear rate was obtained by flow field simulation.
8. The method of claim 7, wherein the actual erosion rate is C = (1-F) when corrosion inhibitor is added to the system 3 (m))*(R+V)，F 3 (m) represents the slow release effect of the corrosion inhibitor, F is more than or equal to 0 3 (m)＜1。
9. The method of claim 8, wherein determining the remaining life of each unit according to the remaining life evaluation model comprises:
extracting the current wall thickness L in a preset parameter set;
determining the minimum pressure-bearing wall thickness H;
inputting the current wall thickness L, the minimum pressure-bearing wall thickness H and the actual abrasion rate C into a residual life evaluation model, and calculating the residual life S of each unit:
10. the method for evaluating the remaining life of the slurry oil system according to claim 9, wherein the current wall thickness L is determined according to the following priority:
actual measured specific data by adopting a thickness measuring method;
the wall thickness data measured by the latest shutdown overhaul detection or maintenance is calibrated to obtain the wall thickness data; or
Obtained by calibrating the original wall thickness.
11. The residual life evaluation method of an oil slurry system according to claim 10, wherein the measured wall thickness data L is detected or maintained by a last shutdown inspection 1 Calibrating to obtain the current wall thickness L as:
taking the time point of the latest wall thickness measurement as a starting point, and calculating the service time t from the time point to the current time point 1 The actual abrasion rate distribution of (1) is taken as the average value C of the actual abrasion rates a Then L = L 1 -t 1 *C a ；
Through the original wall thickness L 0 Calibrating to obtain the current wall thickness L as:
calculating the actual abrasion rate distribution in the service time t from the time of the automatic switching, and taking the average value C of the actual abrasion rates b Then L = L 0 -t*C b 。
12. The method for evaluating the residual life of the slurry oil system according to claim 9, wherein the minimum pressure-bearing wall thickness H of equipment in the slurry oil system is a corrosion allowance; the minimum bearing wall thickness H of the pipeline in the slurry oil system is the maximum value of the following two items H1 and H2:
H1＝D 0 /150, wherein D 0 Is the outside diameter of the pipeline;
h2 is the minimum pressure-bearing wall thickness obtained according to the nominal diameter DN and the material of the pipeline.
13. The method of claim 9, wherein the remaining life SS of the slurry system is the minimum value of the remaining lives S of all units.
14. The method for evaluating the remaining life of the slurry system according to claim 1, further comprising: and setting a residual life limit value, and triggering an overrun alarm when the determined residual life of the oil slurry system is lower than the residual life limit value.
15. A residual life evaluation system of an oil slurry system is characterized by comprising:
the parameter acquisition module is used for acquiring a preset parameter set of the catalytic cracking slurry system and gathering parts with the same parameters to the same unit so as to divide a plurality of units;
an actual erosion rate calculation module for calculating an actual erosion rate of each cell based on the acquired set of preset parameters; and
and the residual life evaluation module is used for determining the residual life of each unit according to the residual life evaluation model so as to determine the residual life of the slurry oil system.
16. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the method of assessing remaining life of a slurry system as claimed in any one of claims 1 to 14.
17. A non-transitory computer-readable storage medium storing computer-executable instructions for causing a computer to perform the method of assessing remaining life of a slurry system according to any one of claims 1 to 14.
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