Information processor, operation support method and program

Abstract

To more flexibly generate a recommendation operation condition for efficiently operating a catalyst reaction device.SOLUTION: An information processor 10 includes: a recommended value generation part 16 for generating recommended values of a plurality of parameters indicating a recommendation operation condition of a catalyst reaction device, using a time limit temperature prediction expression for calculating a time limit temperature which is a reaction temperature required in a predetermined time limit when the catalyst reaction device is operated until a predetermined time limit, from values of a plurality of parameters indicating an operation condition other than the reaction temperature of the catalyst reaction device, and a constraint condition setting the time limit temperature calculated by the time limit temperature prediction expression to be equal to or less than an allowable temperature of the catalyst reaction device; and an output part 18 for outputting the recommended operation condition.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present disclosure relates to an information processing device, a driving assistance method, and a program. [Background technology]

[0002] In plants such as oil refineries, catalytic reactors are used to pass raw oil through a catalyst to obtain refined oil. It is known that the catalyst filled in the catalytic reactor deteriorates with use. In order to maintain the desired catalytic activity, for example, it is necessary to increase the reaction temperature of the catalyst according to the amount of catalyst deterioration. An allowable temperature, which is the upper limit temperature at which the catalytic reactor can be operated, is set for the catalytic reactor. If the reaction temperature required to obtain the desired catalytic activity exceeds the allowable temperature, the reactor cannot be operated to obtain the desired catalytic activity, and this is the end of the catalyst's life. A catalyst that has reached the end of its life must be replaced.

[0003] In order to replace the catalyst filled in the catalytic reactor, all the devices related to the catalytic reactor must be stopped. Therefore, it is common to replace the catalyst at the scheduled timing of the legal inspection of the catalytic reactor. From the viewpoint of economically operating the catalytic reactor, it is important to operate the catalytic reactor so that the catalyst is used up to the very end of its life while preventing the catalyst from reaching the end of its life by the specified date for the catalyst replacement. For example, a technology has been proposed that creates a catalyst deterioration function specific to a user and calculates recommended operating conditions for using the catalyst to the fullest extent until the legal date based on the catalyst deterioration function and the scheduled operating conditions (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0004] [Patent Document 1] International Publication No. 2018 / 216746 Summary of the Invention [Problem to be solved by the invention]

[0005] In the above-mentioned prior art, the recommended operating conditions that allow the user to use the catalyst efficiently are calculated using one of the following methods based on the planned operating conditions: increasing the throughput, reducing the sulfur concentration of the product oil, increasing the yield of light fractions, or reducing the consumption of hydrogen or fuel. Therefore, it is not possible to calculate recommended operating conditions that are significantly different from the planned operating conditions, and it is difficult to flexibly calculate the operating conditions.

[0006] An exemplary objective of an embodiment of the present disclosure is to provide a technique for more flexibly generating recommended operating conditions for efficiently operating a catalytic reactor. [Means for solving the problem]

[0007] An information processing device of one embodiment of the present disclosure includes a generation unit that generates recommended values ​​of multiple parameters that indicate recommended operating conditions for a catalytic reaction device using a deadline temperature prediction formula for calculating a deadline temperature, which is the reaction temperature required at a specified deadline when the catalytic reaction device is operated until the specified deadline, from the values ​​of multiple parameters that indicate operating conditions other than the reaction temperature of the catalytic reaction device, and a constraint that the deadline temperature calculated by the deadline temperature prediction formula is equal to or lower than the allowable temperature of the catalytic reaction device, and an output unit that outputs the recommended operating conditions.

[0008] Another aspect of the present disclosure is an operation assistance method, which includes the steps of: generating recommended values ​​of a plurality of parameters indicating recommended operating conditions of a catalytic reaction device using a deadline temperature prediction formula for calculating a deadline temperature, which is a reaction temperature required at a predetermined deadline when the catalytic reaction device is operated until the predetermined deadline, from values ​​of a plurality of parameters indicating operating conditions other than the reaction temperature of the catalytic reaction device, and a constraint condition that the deadline temperature calculated by the deadline temperature prediction formula is equal to or lower than an allowable temperature of the catalytic reaction device; and outputting the recommended operating conditions.

[0009] Another aspect of the present disclosure is a program that causes a computer to realize a function of generating recommended values ​​of a plurality of parameters indicating recommended operating conditions of a catalytic reaction device, using a deadline temperature prediction formula for calculating a deadline temperature, which is a reaction temperature required at a predetermined deadline when the catalytic reaction device is operated until the predetermined deadline, from values ​​of a plurality of parameters indicating operating conditions other than the reaction temperature of the catalytic reaction device, and a constraint condition that the deadline temperature calculated by the deadline temperature prediction formula is equal to or lower than the allowable temperature of the catalytic reaction device, and a function of outputting the recommended operating conditions. Effect of the Invention

[0010] According to the present disclosure, recommended operating conditions for efficiently operating a catalytic reaction device can be generated more flexibly. [Brief description of the drawings]

[0011] [Figure 1] 1 is a diagram showing an example of a schematic configuration of a catalytic reaction device according to an embodiment; [Diagram 2] FIG. 1 is a diagram illustrating a schematic configuration of an information processing device according to an embodiment. [Diagram 3] 4 is a graph showing an example of operation result data and deadline temperature. [Figure 4] 4 is a flowchart showing a driving assistance method according to the embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] The present disclosure will be outlined. The present disclosure relates to a technology for generating recommended operating conditions for a catalytic reactor used in a plant such as an oil refinery. A catalyst loaded into a catalytic reactor deteriorates with use and therefore needs to be replaced periodically. Since the catalyst replacement time is often determined in advance, it is preferable from an economical point of view to use up the catalyst so that the catalyst's lifespan remains as close as possible at the time of replacement. Here, using up the catalyst to the end of its lifespan means, for example, that the reaction temperature of the catalyst required at the time of catalyst replacement is slightly lower than the allowable temperature of the catalytic reactor. The operating conditions of the catalytic reactor are not constant, and the deterioration tendency of the catalyst changes according to daily changes in the operating conditions, so that the time when the catalyst reaches its lifespan may also change. Therefore, it is not easy to determine the recommended operating conditions for using up the catalyst. Conventionally, it has been predicted whether the catalyst will reach the end of its lifespan at the time of replacement by simulating catalyst deterioration based on operating conditions, calculating the reaction temperature of the catalyst required at the time of replacement, and comparing the calculated reaction temperature with the allowable temperature. This method requires repeating simulations by trial and error, assuming certain operating conditions. This means that the amount of calculation required to flexibly calculate the recommended operating conditions that are considered optimal becomes enormous, making flexible calculation difficult.

[0013] In the present disclosure, a recommended operating condition is generated using a deadline temperature prediction formula for calculating a deadline temperature, which is a reaction temperature required at a predetermined deadline when the catalytic reaction device is operated until the predetermined deadline, from the values ​​of a plurality of parameters indicating the operating conditions of the catalytic reaction device. The deadline temperature prediction formula can be expressed, for example, using a polynomial of a plurality of parameters, and can be expressed, for example, using a nonlinear term of at least one of the plurality of parameters. The recommended operating condition can be calculated using a constraint condition that makes the deadline temperature calculated by the deadline temperature prediction formula equal to or lower than an allowable temperature, and can be calculated, for example, using a mathematical programming method combined with other constraint conditions. According to the present disclosure, since the recommended operating condition can be calculated using a mathematical programming method, it is possible to generate a recommended operating condition that is considered to be optimal more flexibly than when the operating condition is calculated by trial and error by simulating the deterioration of the catalyst.

[0014] The subject of the information processing device or method in the present disclosure includes a computer. The computer executes a computer program to realize the functions of the subject of the information processing device or method in the present disclosure. The computer includes a processor that operates according to a computer program as a main hardware configuration. The type of processor is not important as long as the function can be realized by executing the computer program. The processor is composed of one or more electronic circuits including a semiconductor integrated circuit (IC, LSI, etc.). The computer program is recorded on a non-transitory recording medium such as a computer-readable ROM, an optical disk, or a hard disk drive. The computer program may be stored in advance on the recording medium, or may be supplied to the recording medium via a wide area communication network including the Internet.

[0015] The technology of the present disclosure will be described below with reference to the drawings based on preferred embodiments. The embodiments are illustrative and do not limit the invention, and all features and combinations thereof described in the embodiments are not necessarily essential to the invention. The same or equivalent components, members, and processes shown in each drawing are given the same reference numerals, and duplicated descriptions are omitted as appropriate. In addition, the scale and shape of each part shown in each drawing are set for convenience to facilitate explanation, and are not to be interpreted as being limiting unless otherwise specified. In addition, when terms such as "first" and "second" are used in this specification or claims, they do not represent any order or importance, but are intended to distinguish one configuration from another, unless otherwise specified.

[0016] 1 is a diagram showing an example of a schematic configuration of a catalytic reaction device 50 according to an embodiment. The catalytic reaction device 50 includes a pump 52, a compressor 54, a heater 56, a reactor 58, and a separator 60. The catalytic reaction device 50 is, for example, a hydrodesulfurization device.

[0017] The pump 52 supplies the stock oil 62 to be input to the catalytic reaction device 50. In the example shown in FIG. 1, the pump 52 includes a first pump 52a that supplies a first base oil 62a and a second pump 52b that supplies a second base oil 62b. The multiple base oils 62a and 62b supplied by the multiple pumps 52a and 52b are mixed to form the stock oil 62. In other words, the stock oil 62 is composed of a mixture of the multiple base oils 62a and 62b. The multiple pumps 52a and 52b control the blending ratio of the multiple base oils 62a and 62b contained in the stock oil 62. The pump 52 may include three or more pumps that supply each of the three or more base oils, or may include only a single pump that supplies a single base oil.

[0018] The compressor 54 supplies hydrogen 64 to be input to the catalytic reaction device 50. The hydrogen 64 supplied from the compressor 54 is mixed with the feed oil 62. The hydrogen partial pressure, hydrogen supply amount, or hydrogen-oil ratio (hydrogen supply amount per supply amount of the feed oil 62) supplied to the feed oil 62 can be controlled by, for example, a pressure regulating valve or a flow rate regulating valve (not shown) provided upstream or downstream of the compressor 54.

[0019] The heater 56 heats the feed oil 62 mixed with hydrogen 64. The heater 56 provides heat obtained, for example, by burning fuel, to the feed oil 62 to raise the temperature of the feed oil 62 to a predetermined reaction temperature. The temperature of the feed oil 66 passed through the reactor 58 can be controlled, for example, by a flow control valve (not shown) provided upstream or downstream of the heater 56. The reaction temperature of the catalyst in the reactor 58 can be controlled, for example, by the temperature of the feed oil 66.

[0020] The reactor 58 includes a reaction vessel that contains a catalyst, and reacts the feed oil 66 heated by the heater 56 with the catalyst. The reactor 58 is a fixed-bed catalyst reactor, and the catalyst is fixed or packed inside the reaction vessel. Inside the reactor 58, sulfur is desorbed from the base oil contained in the feed oil 66 by the action of the catalyst, and reacts with hydrogen to produce hydrogen sulfide. The product oil 70 output from the reactor 58 contains hydrogen sulfide.

[0021] The separator 60 separates gases 74, such as hydrogen and hydrogen sulfide, from the product oil 70 output from the reactor 58, and produces a product oil 72 from which the gases 74 have been separated. The product oil 72 contains a lower sulfur content (sulfur concentration) than the feed oil 62. The product oil 72 output from the separator 60 is sent to a downstream device.

[0022] The operating conditions of the catalytic reaction device 50 are determined by the values ​​of a plurality of parameters. The operating conditions of the catalytic reaction device 50 can include at least one of a parameter related to the throughput of the catalytic reaction device 50, a parameter related to the feed oil, a parameter related to the product oil, a parameter related to hydrogen, and a parameter related to the reaction temperature.

[0023] The parameters relating to the processing amount may include, for example, the daily throughput (kL / D) of the feed oil 66 passed through the reactor 58. The parameters relating to the feed oil 62 include parameters relating to the properties of the feed oil, such as the sulfur concentration of the feed oil 62, the metal concentration of the feed oil 62, and the blending ratio of the base oils 62a and 62b constituting the feed oil 62. The parameters relating to the product oil 72 include parameters relating to the properties of the product oil 72, such as the sulfur concentration of the product oil 72, the metal concentration of the product oil 72, and the cetane index of the product oil 72. The parameters relating to the hydrogen 64 may include, for example, the hydrogen partial pressure, the hydrogen supply amount, and the hydrogen-oil ratio. The parameters relating to the reaction temperature may include, for example, the temperature of the feed oil 66 supplied to the reactor 58, the temperature inside the reactor 58 (for example, the temperature of the catalyst), and the like.

[0024] The type of base oil contained in the feedstock 62 is not particularly limited, but any base oil that can be used to produce petroleum products such as gasoline, kerosene, or diesel can be used. As the base oil, for example, a straight-run base oil obtained from an atmospheric distillation unit or a vacuum distillation unit, or a cracked base oil obtained from a fluid catalytic cracking unit can be used, and a straight-run or cracked naphtha fraction, kerosene fraction, diesel fraction, or heavy oil fraction can be used. As the base oil, for example, LGO (Light Gas Oil) or LCO (Light Cycle Oil) can be used. In general, the load on the catalytic reaction differs depending on the type of base oil, so changing the blending ratio of the base oil contained in the feedstock 62 changes the deterioration tendency of the catalyst in the catalytic reaction unit 50, and also changes the time when the catalyst reaches the end of its life. In the case of hydrodesulfurization, if a relatively heavy base oil is input, the catalyst is more likely to deteriorate.

[0025] 1, the catalytic reactor 50 is a hydrodesulfurization unit, but there is no particular limitation on the type of catalytic reactor 50. The catalytic reactor 50 may be a hydrotreating unit, a hydrocracker, a catalytic reformer, or a catalytic cracker.

[0026] 2 is a diagram showing a schematic functional configuration of an information processing device 10 according to an embodiment. The information processing device 10 is connected to a data management device 42, a plant management device 44, and a user terminal 46 via a network 40.

[0027] Each of the information processing device 10, the data management device 42, the plant management device 44, and the user terminal 46 is a general-purpose computer such as a server, a workstation, or a personal computer, or a mobile terminal such as a smartphone or a tablet computer. As an example, the information processing device 10, the data management device 42, and the plant management device 44 are servers. As an example, the user terminal 46 is a personal computer.

[0028] Each block shown in the block diagram of the present disclosure can be realized in terms of hardware by elements and mechanical devices, such as a processor such as a computer's CPU (Central Processing Unit) and memories such as a ROM (Read Only Memory) and a RAM (Random Access Memory), and in terms of software by a computer program, etc. Here, functional blocks realized by cooperation between hardware and software are depicted. Those skilled in the art will understand that these functional blocks can be realized in various ways by combinations of hardware and software.

[0029] A computer program implementing the functions of at least some of the functional blocks shown in Fig. 2 may be installed in the storage of one or more computers. The CPU of one or more computers may load the computer program installed in the computer into a main memory and execute the program to exercise the functions of the functional blocks shown in Fig. 2.

[0030] In addition, the functions of the multiple functional blocks shown in Fig. 2 may be executed by one computer, or may be executed in a distributed manner by multiple computers. When the functions of the multiple functional blocks shown in Fig. 2 are executed in a distributed manner by multiple computers, the multiple computers may transmit and receive data via a communication network including a LAN (Local Area Network), a WAN (Wide Area Network), and the Internet.

[0031] The network 40 is configured with a communication network including, for example, a local area network (LAN), a wide area network (WAN), the Internet, and various mobile communication systems constructed by wireless base stations. Examples of the mobile communication system include mobile communication systems such as 3G, 4G, and 5G, LTE (Long Term Evolution), and wireless networks (for example, Wi-Fi (registered trademark)) that can be connected to the Internet via a predetermined access point.

[0032] The data management device 42 acquires and manages data used in the information processing device 10. The data management device 42 is, for example, a data server that collects and accumulates various data related to the plant. The data management device 42 acquires necessary data from, for example, the plant management device 44 or a user terminal 46.

[0033] The plant management device 44 acquires and manages data from the plant equipment 48. The plant equipment 48 is a group of equipment consisting of a plurality of devices installed in a plant. The plant equipment 48 includes, for example, a catalytic reaction equipment 50 shown in FIG. 1 and a sensor for acquiring parameter values ​​indicating the operating conditions of the catalytic reaction equipment 50. The type of sensor included in the plant equipment 48 is not particularly limited, and may be, for example, a pressure sensor, a temperature sensor, a flow rate sensor, or a concentration sensor. The plant management device 44 acquires measurement values ​​measured by the sensor included in the plant equipment 48.

[0034] The user terminal 46 is used by a user or an operator who manages the plant. The user terminal 46 displays an input screen for inputting data to be used in the information processing device 10. The data input to the user terminal 46 is transmitted to, for example, the data management device 42 and managed by the data management device 42. The user terminal 46 displays a setting screen for setting the operation of the information processing device 10. Through the setting screen displayed on the user terminal 46, the user can set, change, or delete constraint conditions for generating recommended operating conditions. The user terminal 46 displays information output from the information processing device 10.

[0035] The information processing device 10 includes an acquisition unit 12, a prediction equation determination unit 14, a recommended value generation unit 16, an output unit 18, and a storage unit 20. The storage unit 20 can store driving performance data 22, model data 24, prediction equation data 26, constraint condition data 28, planned driving data 30, and recommended driving data 32.

[0036] The acquisition unit 12 acquires values ​​of a plurality of parameters indicating the operating conditions of the catalytic reaction device 50. The plurality of parameters include parameters measured by a sensor provided in the catalytic reaction device 50. The types of parameters that can be measured by the sensor are not particularly limited, but may be, for example, pressure, temperature, flow rate, concentration, efficiency, and throughput.

[0037] The parameter value acquired by the acquisition unit 12 may be the measurement value of the sensor itself, or may be a calculated value calculated from the measurement values ​​of one or more sensors. The acquisition unit 12 may acquire the measurement values ​​of one or more sensors, and calculate the value of at least one parameter using the acquired measurement values. For example, the acquisition unit 12 may acquire a first measurement value by a first sensor of the plant equipment 48 and a second measurement value by a second sensor of the plant equipment 48, and calculate a ratio between the first measurement value and the second measurement value as the parameter value. The acquisition unit 12 acquires the parameter value in association with the acquisition date and time. The acquisition date and time may be the date and time when the measurement is performed by a sensor provided in the plant equipment 48, or the date and time when the data management device 42 or the plant management device 44 acquires the parameter value.

[0038] The acquisition unit 12 stores the acquired parameter values ​​in the storage unit 20 as driving performance data 22. The driving performance data 22 includes time series values ​​of the parameters. The time series values ​​of the parameters include the parameter values ​​and the acquisition dates and times of the parameters. The acquisition unit 12 accumulates the acquired parameter values ​​in the storage unit 20 to generate driving performance data 22 consisting of time series values ​​of the parameters from the past to the present.

[0039] The acquisition unit 12 acquires constraint conditions for generating recommended operating conditions for the catalytic reaction device 50, and stores the acquired constraint conditions in the storage unit 20 as constraint condition data 28. The constraint condition data 28 includes constraint conditions related to at least one value of a plurality of parameters indicating the operating conditions of the catalytic reaction device 50. The constraint condition data 28 includes constraint conditions related to at least one of a parameter related to the throughput, a parameter related to the feed oil, a parameter related to the product oil, and a parameter related to hydrogen. The constraint conditions can be set as inequalities using functions (e.g., polynomials) defined using one or more parameters. The constraint condition data 28 can include multiple types of constraint conditions.

[0040] The acquisition unit 12 acquires planned values ​​of a plurality of parameters indicating planned operating conditions of the catalytic reaction device 50, and stores the acquired planned values ​​in the storage unit 20 as planned operating data 30. The planned operating data 30 indicates future operating conditions planned at the present time of the catalytic reaction device 50. The planned operating conditions may be the same as the current operating conditions of the catalytic reaction device 50, or may be different from the current operating conditions. The planned operating conditions may be common to the current operating conditions with respect to the value of at least one parameter among the plurality of parameters indicating the operating conditions, while differing from the current operating conditions with respect to the values ​​of the remaining parameters.

[0041] The prediction formula determination unit 14 uses the operation record data 22 to determine a deadline temperature prediction formula for calculating a deadline temperature, which is a reaction temperature required at a specified deadline when the catalytic reaction device 50 is operated until the specified deadline. The deadline temperature prediction formula is a prediction formula for calculating the deadline temperature from the values ​​of multiple parameters that indicate operating conditions other than the reaction temperature of the catalytic reaction device 50. The multiple parameters can include at least one of a parameter related to the processing amount, a parameter related to the feed oil, a parameter related to the product oil, and a parameter related to hydrogen.

[0042] FIG. 3 is a graph showing an example of the operating performance and the expiration temperature. The horizontal axis of FIG. 3 is the number of days of operation of the catalytic reaction device 50. D0 indicates the operation start date when new catalyst was loaded and operation started, D1 indicates the current date, and D2 indicates the expiration date corresponding to the predetermined expiration date when the catalyst is scheduled to be replaced. The vertical axis of FIG. 3 indicates the reaction temperature of the catalytic reaction device 50. T A is the allowable temperature of the catalytic reactor 50, and T B is the reference temperature that is smaller than the tolerance temperature. B For example, the allowable temperature T A The allowable temperature T A to the reference temperature T B The temperature difference ΔT minus the reference temperature T is, for example, 20°C or less, 10°C or less, or 5°C or less. For example, if the reaction temperature at a given time is lower than the reference temperature T B or more permissible temperature TA If the temperature is within the range below, it means that the catalyst is efficiently used. A can be set, for example, based on at least one of the heat resistance temperature of the catalytic reaction apparatus 50, the heat resistance temperature of the catalyst filled in the catalytic reaction apparatus 50, the heat resistance temperature of the raw oil input to the catalytic reaction apparatus 50, and the heat resistance temperature of the refined oil output from the catalytic reaction apparatus 50.

[0043] In FIG. 3, the actual measured values ​​80 plotted in the period from the operation start date D0 to the current date D1 correspond to the operation record data 22. A prediction line 84 shown as a dashed line in the period from the current date D1 to the specified deadline date D2 indicates the predicted value of the reaction temperature from the present to the future. A first dashed line 84a indicates the predicted value when the first operating condition is used, and a second dashed line 84b indicates the predicted value when the second operating condition different from the first operating condition is used. The deadline temperature 82 is the predicted value of the reaction temperature at the specified deadline date D2. The first deadline temperature 82a is the predicted value of the reaction temperature at the specified deadline when the first operating condition is used, and the second deadline temperature 82b is the predicted value of the reaction temperature at the specified deadline when the second operating condition is used.

[0044] The deadline temperature prediction formula is a calculation formula that inputs the values ​​of multiple parameters indicating the operating conditions and outputs the deadline temperature. Therefore, if the input operating conditions differ, the output deadline temperature will also differ. The deadline temperature prediction formula is determined based on the operating performance data from the operation start date D0 to the current date D1, so the prediction formula can differ depending on the actual measurement value 80, which is the operating performance. The deadline temperature prediction formula can differ depending on the number of operating days from the current date D1 to the specified deadline date D2. Note that the deadline temperature prediction formula calculates the value of the deadline temperature 82, which is the reaction temperature at the specified deadline, and does not calculate the prediction line 84.

[0045] The deadline temperature prediction formula is based on multiple parameters x1 to x n The deadline temperature prediction formula can include a polynomial of multiple parameters x1 to x n The deadline temperature prediction equation may include a linear equation of T E=k0+k1·x1+k2·x2+…+k n x n where T E is the predicted expiration temperature, k0~k n are the coefficients included in the prediction formula, and x1~x n are the values ​​of a plurality of parameters. The prediction formula determination unit 14 determines, for example, the coefficients k0 to k n By determining the value of , the deadline temperature prediction formula can be determined.

[0046] The deadline temperature prediction formula is based on multiple parameters x1 to x n The nonlinear term may include a nonlinear term of at least one parameter of a particular parameter x i The nonlinear terms may include higher order (quadratic, cubic, or quaternary or higher) terms. The nonlinear terms may include terms that are products of two or more parameters. The nonlinear terms may include terms that are products of a first parameter (e.g., x1) and a second parameter (e.g., x2) (e.g., k1·x1·k2·x2).

[0047] The prediction formula determination unit 14 may determine the deadline temperature prediction formula using the model data 24 stored in the storage unit 20. The model data 24 is a simulation model for predicting the state of the catalyst of the catalytic reaction device 50 based on the operating performance data 22. As the simulation model, for example, a model based on a catalyst deterioration function specific to the catalytic reaction device 50 can be used. The prediction formula determination unit 14 calculates a prediction line 84 by simulation based on the actual measurement value 80 shown in FIG. 3 by using the model data 24. The prediction formula determination unit 14 calculates a plurality of prediction lines 84 by simulation using a plurality of operating conditions, and calculates a plurality of deadline temperatures 82 corresponding to the plurality of operating conditions. The prediction formula determination unit 14 determines a correlation formula showing the correlation between the values ​​of a plurality of parameters indicating each of the plurality of operating conditions and a plurality of deadline temperatures. The correlation formula determined in this manner can be used as a deadline temperature prediction formula for predicting the deadline temperature from the values ​​of a plurality of parameters.

[0048] The prediction formula determination unit 14 may determine the deadline temperature prediction formula using machine learning. The prediction formula determination unit 14 can use, for example, a plurality of prediction lines 84 corresponding to a plurality of operating conditions calculated by simulation as teacher data. The prediction formula determination unit 14 can determine the correlation formula (deadline temperature prediction formula) by analyzing the generated teacher data using machine learning. At least one of linear regression, support vector machine, random forest, gradient boosting, and neural network can be used as the machine learning algorithm.

[0049] The prediction formula determination unit 14 stores the determined deadline temperature prediction formula in the storage unit 20 as prediction formula data 26. The prediction formula data 26 may include, for example, the equation of the deadline temperature prediction formula and coefficients (e.g., k0 to k n ) value.

[0050] The recommended value generating unit 16 uses the prediction formula data 26 and the constraint condition data 28 to generate recommended values ​​of a plurality of parameters indicating recommended operating conditions of the catalytic reaction device 50. The recommended value generating unit 16 generates the recommended values ​​of the deadline temperature T E Allowable temperature T A The first constraint condition is as follows: The recommended value generating unit 16 calculates the deadline temperature T E The reference temperature T B The recommendation value generating unit 16 can further use a second constraint condition that is different from the first constraint condition and the second constraint condition in combination.

[0051] The recommendation value generating unit 16 can use a constraint condition regarding at least one value of a plurality of parameters indicating the operating conditions of the catalytic reaction device 50. For example, the recommendation value generating unit 16 can use a constraint condition that the value of at least one of the plurality of parameters is equal to or less than a predetermined upper limit value or equal to or more than a predetermined lower limit value. For example, the recommendation value generating unit 16 can use a constraint condition that the value of at least one of the plurality of parameters is within a predetermined range. The recommendation value generating unit 16 can use a constraint condition that the value of a function defined using one or more parameters is equal to or less than a predetermined upper limit value, equal to or more than a predetermined lower limit value, or within a predetermined range.

[0052] The recommendation value generating unit 16 can use a constraint condition related to the value of at least one parameter related to the throughput of the catalytic reaction device 50. For example, the recommendation value generating unit 16 can use a constraint condition that the throughput of the catalytic reaction device 50 is equal to or less than a predetermined upper limit throughput.

[0053] The recommendation value generating unit 16 can use a constraint condition related to the value of at least one parameter related to the feedstock oil 62 input to the catalytic reaction device 50. The recommendation value generating unit 16 can use, for example, a constraint condition related to a specific component contained in the feedstock oil 62, and can use a constraint condition that sets the value of the specific component equal to or less than a predetermined upper limit. Specific examples of specific components are the sulfur concentration and metal concentration of the feedstock oil. The recommendation value generating unit 16 can use a constraint condition related to the blending ratio of one or more base oils 62a, 62b contained in the feedstock oil 62, and can use a constraint condition that sets the blending ratio equal to or less than a predetermined upper limit, equal to or more than a predetermined lower limit, or within a predetermined range.

[0054] The recommendation value generating unit 16 can use a constraint condition regarding the amount of heat required to heat the feedstock oil 62 input to the catalytic reaction device 50 to the reaction temperature. The recommendation value generating unit 16 can use, for example, a constraint condition that the amount of heat required to heat the feedstock oil 62 to the reaction temperature is equal to or less than the upper load limit of the heater 56. The amount of heat Q required to heat the feedstock oil 62 to the reaction temperature can be expressed as Q=mcT using the mass m of the feedstock oil 62, the specific heat c of the feedstock oil, and the heating temperature T. The mass m and specific heat c of the feedstock oil 62 can be calculated, for example, from the mass, specific heat, and blending ratio of one or more base oils 62a, 62b contained in the feedstock oil 62. The constraint condition regarding the amount of heat can be expressed as Q≦Qmax, where the upper load limit of the heater 56 is Qmax.

[0055] The recommended value generating unit 16 can use a constraint condition regarding the value of at least one parameter related to the product oil 72 output from the catalytic reaction device 50. The recommended value generating unit 16 can use, for example, a constraint condition related to the properties of the product oil 72, such as a constraint condition related to the sulfur concentration of the product oil 72, the metal concentration of the product oil 72, or the cetane index of the product oil 72. The recommended value generating unit 16 can use, for example, a constraint condition related to a specific component (sulfur concentration or metal concentration) contained in the product oil 72, such as a constraint condition that sets the value of the specific component to a predetermined upper limit value or less. The recommended value generating unit 16 can use a constraint condition that sets the cetane index of the product oil 72 to a predetermined lower limit value or more. The cetane index of the product oil 72 can be calculated, for example, from the cetane index and blending ratio of one or more base oils 62a, 62b contained in the feed oil 62.

[0056] The recommendation value generating unit 16 can use a constraint condition regarding the value of at least one parameter related to the hydrogen 64 supplied to the catalytic reaction device 50. The recommendation value generating unit 16 can use, for example, a constraint condition that the hydrogen partial pressure, the hydrogen supply amount, or the hydrogen-oil ratio is equal to or less than a predetermined upper limit value, and can use, for example, a constraint condition that the compressor 54 is equal to or less than the upper load limit.

[0057] The recommended value generating unit 16 can use a constraint condition based on the scheduled operation data 30. The recommended value generating unit 16 can use a constraint condition that causes the recommended value of at least one parameter to correspond to a scheduled value defined in the scheduled operation data 30. The recommended value generating unit 16 can use, for example, a constraint condition that causes the recommended value of at least one parameter to match the scheduled value. This makes it possible to generate recommended values ​​for the remaining parameters while keeping the recommended value of at least one parameter fixed to the scheduled value. The recommended value generating unit 16 can use, for example, a constraint condition that causes the recommended value of at least one parameter to be within a predetermined range from the scheduled value. The recommended value generating unit 16 can use, for example, a constraint condition that causes the recommended value of at least one parameter to be equal to or less than the scheduled value, or equal to or more than the scheduled value. This makes it possible to generate recommended operating conditions while constraining the recommended value of at least one parameter to correspond to the scheduled value.

[0058] The recommendation value generating unit 16 may use a constraint condition related to an apparatus other than the catalytic reactor 50 included in the plant equipment 48. The recommendation value generating unit 16 may use a constraint condition related to an apparatus that generates each of the base oils 62a, 62b on the upstream side of the catalytic reactor 50. The recommendation value generating unit 16 may use a constraint condition related to an apparatus that processes the product oil 72 on the downstream side of the catalytic reactor 50, for example.

[0059] The recommendation value generating unit 16 can use any combination of two or more of the above-mentioned constraint conditions. The parameters included in each of the two or more constraint conditions used simultaneously by the recommendation value generating unit 16 may be common to each other or different from each other. The recommendation value generating unit 16 can use, for example, a combination of two or more of a constraint condition including a first parameter and a second parameter, a constraint condition including a first parameter but not including a second parameter, and a constraint condition including a second parameter but not including a first parameter. The above-mentioned constraint conditions are merely examples, and the constraint conditions used by the recommendation value generating unit 16 when generating the recommended operating conditions of the catalytic reaction device 50 are not limited to these. The recommendation value generating unit 16 may further combine, for example, other constraint conditions that directly or indirectly constrain the operating conditions of the catalytic reaction device 50.

[0060] Other constraint conditions used by the recommendation value generating unit 16 include, for example, constraint conditions based on business information. Here, the business information may include, for example, parameters determined based on the plant operation environment, etc. (for example, crude oil price, base oil price, feedstock oil price, and product oil price, etc.), or may include parameters determined based on the plant operation judgment, etc. (for example, crude oil inventory, base oil inventory, feedstock oil inventory, and product oil inventory, etc.). Parameters determined by the plant operation environment, etc. are difficult to change based on the decision-making regarding the operation of the plant. However, parameters determined based on the plant operation judgment, etc. can be changed to a certain degree of freedom based on the decision-making regarding the plant operation. The recommendation value generating unit 16 can use, for example, a constraint formula that uses "gross profit" as an objective function and includes a parameter determined based on the plant operation environment, etc., a parameter determined by the plant operation judgment, etc., and at least one of the first parameter and the second parameter, as a constraint condition based on the business information. In this case, the constraint conditions based on the business information can generate recommended values ​​of a plurality of parameters indicating the recommended operating conditions of the catalytic reaction device 50, for example, by deriving a combination of the values ​​of each parameter that maximizes gross profit. This allows the recommended operating conditions of the catalytic reaction device 50 to more fully reflect the viewpoint of economic rationality. As a result, the catalyst of the catalytic reaction device 50 can be used more efficiently and economically.

[0061] The recommendation value generating unit 16 may generate a plurality of candidates for the recommended operating conditions. The recommendation value generating unit 16 may generate a plurality of candidates using a common constraint condition. The recommendation value generating unit 16 may generate a plurality of candidates that minimize or maximize a common objective function. The recommendation value generating unit 16 may generate a plurality of candidates that minimize or maximize different objective functions. The recommendation value generating unit 16 may generate a plurality of candidates that satisfy each of a plurality of constraint conditions using each of a plurality of constraint conditions that are different from each other. As the objective function, for example, the expiration temperature of the catalytic reaction device 50, the operating cost of the catalytic reaction device 50, the properties of the product oil 72, the consumption amount of hydrogen 64, etc. can be used. The objective function can be set using a plurality of parameters that indicate the operating conditions of the catalytic reaction device 50.

[0062] The recommendation value generating unit 16 can generate candidates for recommended operating conditions by applying any mathematical programming algorithm. For example, the recommendation value generating unit 16 can generate candidates for recommended operating conditions that minimize or maximize an objective function by applying a linear programming or nonlinear programming algorithm.

[0063] The recommendation value generating unit 16 stores the generated recommended values ​​of multiple parameters indicating the recommended operating conditions in the storage unit 20 as recommended operating data 32. When the recommendation value generating unit 16 generates multiple candidates for the recommended operating conditions, it stores the recommended values ​​of multiple parameters corresponding to each of the multiple candidates in the storage unit 20 as recommended operating data 32.

[0064] The recommendation value generating unit 16 may calculate a transition of the reaction temperature when the catalytic reaction device 50 is operated until a predetermined time limit using the generated recommended operating conditions (for example, a predicted line 84 in FIG. 3). The calculated transition of the reaction temperature is stored in the storage unit 20 as the recommended operating data 32, for example.

[0065] The output unit 18 outputs the recommended operating conditions generated by the recommended value generating unit 16. The output unit 18 generates, for example, a display screen for showing the generated recommended operating conditions to a user. The output unit 18 transmits information for displaying the display screen on the user terminal 46 to the user terminal 46. The display screen includes, for example, recommended values ​​of a plurality of parameters and a deadline temperature. The display screen may include a graph showing the progress of the reaction temperature as shown in FIG. 3.

[0066] When multiple candidates for the recommended operating conditions are generated, the output unit 18 may generate a display screen for displaying the multiple candidates. The output unit 18 may generate a display screen for displaying the multiple candidates in order of magnitude of the deadline temperature. The output unit 18 may generate a display screen for displaying the multiple candidates in order of magnitude of the recommended value of at least one of the multiple parameters. The output unit 18 may generate a display screen for displaying the transitions of multiple reaction temperatures corresponding to the multiple candidates (e.g., the prediction line 84 in FIG. 3) on the same graph.

[0067] FIG. 4 is a flowchart showing an operation support method according to an embodiment. The acquisition unit 12 acquires operation record data indicating past operating conditions of the catalytic reaction device 50 (S10). The prediction formula determination unit 14 uses the acquired operation record data to determine a deadline temperature prediction formula for calculating a deadline temperature from the values ​​of multiple parameters indicating operating conditions other than the reaction temperature of the catalytic reaction device 50 (S12). The acquisition unit 12 acquires constraint condition data indicating constraint conditions used to generate recommended operating conditions (S14). The recommended value generation unit 16 generates recommended values ​​of multiple parameters indicating recommended operating conditions of the catalytic reaction device 50 using constraint conditions that make the deadline temperature calculated by the deadline temperature prediction formula equal to or lower than the allowable temperature of the catalytic reaction device 50 (S16). The output unit 18 outputs the generated recommended operating conditions (S18).

[0068] According to this embodiment, by using the constraint conditions based on the deadline temperature prediction formula, it is possible to generate recommended operating conditions by applying, for example, mathematical programming. According to this embodiment, since it is not necessary to repeat simulations by assuming operating conditions and performing trial and error, it becomes easier to generate recommended operating conditions that are considered optimal more flexibly. By applying mathematical programming, it is possible to generate recommended operating conditions by combining various constraint conditions related to the operation of the catalytic reaction device 50, so that it is possible to generate recommended operating conditions that meet the needs of the user.

[0069] The present disclosure has been described above based on the embodiments. These embodiments are merely examples, and it will be understood by those skilled in the art that various modifications are possible in the combination of each component or each treatment process, and that such modifications are also within the scope of the present disclosure.

[0070] In the above embodiment, a case has been described in which the information processing device 10 includes the prediction formula determination unit 14. In another embodiment, the deadline temperature prediction formula may be determined by another information processing device different from the information processing device 10, and the determined deadline temperature prediction formula may be acquired by the information processing device 10. In this case, the storage unit 20 of the information processing device 10 does not need to store the operating performance data 22 and the model data 24. When the recommendation value generation unit 16 does not use the scheduled operating conditions, the storage unit 20 does not need to store the scheduled operating data 30.

[0071] In the above embodiment, the description focuses on the plant in which the catalytic reactor 50 is installed. In another embodiment, the recommended operating conditions of the catalytic reactor 50 may be generated based on information of "other plants" different from the plant in which the catalytic reactor 50 is installed. As an example, in the constraint conditions based on the business information, the parameters of the constraint conditions may include "parameters determined by plant operation judgments, etc." in the other plants. In this case, the recommendation value generating unit 16 can generate the recommended operating conditions of the catalytic reactor 50 by further considering the business information of the other plants. As a result, the catalytic reactor 50 can be operated in cooperation with the other plants, and the catalytic reactor 50 can be operated more efficiently and economically.

[0072] Parameters or values ​​in this disclosure may be expressed as absolute values, as relative values ​​from a given value, or as corresponding other information.

[0073] The embodiment may be a program for making a computer realize the functions for implementing the above-mentioned method, or a recording medium for storing the program. The recording medium for storing such a program may be a non-transitory and tangible computer-readable storage medium, and may be a non-volatile memory, a magnetic recording medium such as a magnetic tape or a magnetic disk, or an optical recording medium such as an optical disk.

[0074] Several aspects of the present disclosure are described below.

[0075] The first aspect is an information processing device that includes a generation unit that generates recommended values ​​of the multiple parameters indicating recommended operating conditions of the catalytic reaction device using a deadline temperature prediction formula for calculating a deadline temperature, which is a reaction temperature required at a specified deadline when the catalytic reaction device is operated until the specified deadline, from the values ​​of multiple parameters indicating operating conditions other than the reaction temperature of the catalytic reaction device, and a constraint condition that the deadline temperature calculated by the deadline temperature prediction formula is equal to or lower than the allowable temperature of the catalytic reaction device, and an output unit that outputs the recommended operating conditions. According to the first aspect, by using the constraint condition based on the deadline temperature prediction formula, recommended operating conditions that satisfy the constraint condition can be generated more flexibly. Specifically, it is possible to generate recommended operating conditions that make the reaction temperature at the specified deadline equal to or lower than the allowable temperature, and the catalyst of the catalytic reaction device can be used efficiently and economically.

[0076] A second aspect is the information processing device according to the first aspect, in which the deadline temperature prediction formula includes a polynomial of the plurality of parameters. According to the second aspect, by using a constraint condition expressed by a polynomial of a plurality of parameters, it is possible to generate recommended operating conditions by applying mathematical programming. For example, it is possible to generate appropriate recommended operating conditions without simulating catalyst deterioration using a catalyst deterioration function.

[0077] A third aspect is the information processing device according to the first or second aspect, in which the deadline temperature prediction formula includes a nonlinear term for at least one of the multiple parameters. According to the third aspect, the prediction accuracy of the deadline temperature can be improved by using a constraint condition including a nonlinear term for at least one of the multiple parameters. As a result, it is possible to more appropriately generate recommended operating conditions that make the reaction temperature at a specified deadline equal to or lower than the allowable temperature.

[0078] A fourth aspect is the information processing device according to any one of the first to third aspects, wherein the generating unit generates the recommended value by further using a constraint condition related to the value of at least one parameter among the plurality of parameters. According to the fourth aspect, by combining a constraint condition other than the deadline temperature prediction formula, it is possible to generate a recommended operating condition that satisfies the constraint condition that meets the user's request.

[0079] A fifth aspect is the information processing device according to any one of the first to fourth aspects, wherein the generating unit generates the recommended value by further using a constraint condition that sets the value of at least one parameter among the plurality of parameters within a predetermined range. According to the fifth aspect, by combining a constraint condition other than the deadline temperature prediction formula, it is possible to generate a recommended operating condition that satisfies the constraint condition that meets the user's request.

[0080] A sixth aspect is the information processing device according to any one of the first to fifth aspects, wherein the plurality of parameters includes at least one parameter related to a throughput of the catalytic reaction device, and the generating unit generates the recommended value by further using a constraint condition related to the throughput. According to the sixth aspect, by further using a constraint condition related to a throughput that can be set according to a user's request, it is possible to generate recommended operating conditions that satisfy the constraint condition that meets the user's request.

[0081] A seventh aspect is the information processing device according to any one of the first to sixth aspects, wherein the plurality of parameters includes at least one parameter related to a feedstock oil input to the catalytic reaction device, and the generation unit generates the recommended value by further using a constraint condition related to the feedstock oil. According to the seventh aspect, by further using a constraint condition related to the feedstock oil that can be set according to a user's request, it is possible to generate recommended operating conditions that satisfy the constraint condition that meets the user's request.

[0082] An eighth aspect is the information processing device according to any one of the first to seventh aspects, wherein the plurality of parameters includes at least one parameter related to a feedstock oil input to the catalytic reaction device, and the generation unit generates the recommended value by further using a constraint condition related to a specific component contained in the feedstock oil. According to the eighth aspect, by further using a constraint condition related to a specific component contained in the feedstock oil that can be set according to a user's request, it is possible to generate recommended operating conditions that satisfy the constraint condition that meets the user's request.

[0083] A ninth aspect is the information processing device according to any one of the first to eighth aspects, wherein the plurality of parameters includes at least one parameter related to a feedstock oil input to the catalytic reaction device, and the generation unit generates the recommended value by further using a constraint condition related to a heating amount required to heat the feedstock oil to the reaction temperature. According to the ninth aspect, by further using a constraint condition related to a heating amount of the feedstock oil that can be set according to a user's request, it is possible to generate recommended operating conditions that satisfy the constraint condition that meets the user's request.

[0084] A tenth aspect is the information processing device according to any one of the first to ninth aspects, in which the plurality of parameters includes at least one parameter related to a product oil output from the catalytic reaction device, and the generating unit generates the recommended value by further using a constraint condition related to the product oil. According to the tenth aspect, by further using a constraint condition related to the product oil that can be set according to a user's request, it is possible to generate recommended operating conditions that satisfy the constraint condition that meets the user's request.

[0085] An eleventh aspect is the information processing device according to any one of the first to tenth aspects, wherein the plurality of parameters includes at least one parameter related to hydrogen supplied to the catalytic reaction device, and the generation unit generates the recommended value by further using a constraint condition related to the hydrogen. According to the eleventh aspect, by further using a constraint condition related to hydrogen that can be set according to a user's request, it is possible to generate recommended operating conditions that satisfy the constraint condition that meets the user's request.

[0086] A twelfth aspect is the information processing device according to any one of the first to eleventh aspects, in which the plurality of parameters includes at least one parameter related to a blending ratio of a plurality of base oils contained in the feedstock oil input to the catalytic reaction device. According to the twelfth aspect, the recommended operating conditions can be generated taking into consideration a change in deadline temperature according to the blending ratio of the base oils. In addition, since the plurality of parameters indicating the recommended operating conditions includes a parameter related to the blending ratio of the base oils, a recommended value related to the blending ratio of the base oils for keeping the reaction temperature at a specified deadline below an allowable temperature can be generated. This improves user convenience.

[0087] A thirteenth aspect is the information processing device according to any one of the first to twelfth aspects, wherein the plurality of parameters include at least one parameter selected from the group consisting of a throughput of the catalytic reactor, a sulfur content of the feed oil input to the catalytic reactor, a sulfur content of the product oil output from the catalytic reactor, a hydrogen-to-oil ratio of the catalytic reactor, and a hydrogen partial pressure of the catalytic reactor. According to the thirteenth aspect, it is possible to generate recommended operating conditions for a catalytic reactor for hydrodesulfurization to remove sulfur from a feed oil.

[0088] A fourteenth aspect is the information processing device according to any one of the first to thirteenth aspects, further comprising an acquisition unit that acquires planned values ​​of the plurality of parameters indicating planned operating conditions of the catalytic reaction device, and the generation unit generates the recommended value by further using a constraint condition that makes a recommended value of at least one parameter among the plurality of parameters correspond to the planned value. According to the fourteenth aspect, by further using a constraint condition that makes it correspond to planned operating conditions that can be set according to a user's request, it is possible to generate recommended operating conditions that satisfy the constraint condition that meets the user's request.

[0089] A fifteenth aspect is the information processing device according to any one of the first to fourteenth aspects, in which the generation unit generates the recommended value by further using a constraint condition that the deadline temperature calculated by the deadline temperature prediction formula is equal to or higher than a reference temperature that is lower than the allowable temperature. According to the fifteenth aspect, by further using a constraint condition that the deadline temperature is equal to or higher than a reference temperature, it is possible to generate recommended operating conditions that bring the reaction temperature at a specified deadline close to the allowable temperature. This makes it possible to generate recommended operating conditions that allow the catalyst to be used up to the end of its life, and allows the catalyst in the catalytic reaction device to be used efficiently and economically.

[0090] A sixteenth aspect is the information processing device according to any one of the first to fifteenth aspects, wherein the generating unit generates a plurality of candidates for the recommended operating conditions that satisfy each of a plurality of constraint conditions that are different from each other. According to the sixteenth aspect, a plurality of candidates for the recommended operating conditions that satisfy the constraint conditions that meet the user's request can be generated by further using each of a plurality of constraint conditions that can be set according to the user's request. The user can compare the plurality of candidates to select the more appropriate recommended operating conditions.

[0091] A seventeenth aspect is the information processing device according to any one of the first to sixteenth aspects, wherein the generating unit generates a plurality of candidates for the recommended operating conditions, and the output unit outputs the plurality of candidates in order of magnitude of the deadline temperature. According to the seventeenth aspect, since the plurality of candidates for the recommended operating conditions are output in order of magnitude of the deadline temperature, the user can compare the plurality of candidates and select more appropriate recommended operating conditions.

[0092] An 18th aspect is the information processing device according to any one of the 1st to 17th aspects, wherein the generation unit generates a plurality of candidates for the recommended operating conditions, and the output unit outputs the plurality of candidates in order of magnitude of a recommended value of at least one parameter among the plurality of parameters. According to the 18th aspect, the plurality of candidates for the recommended operating conditions are output in order of magnitude of the value of at least one parameter in which the user is interested, so that the user can compare the plurality of candidates and select more appropriate recommended operating conditions.

[0093] A 19th aspect is the information processing device according to any one of the first to 18th aspects, further comprising an acquisition unit that acquires operating history data indicating the past operating conditions of the catalytic reaction device, and a determination unit that determines the deadline temperature prediction formula using the operating history data. According to the 19th aspect, by determining the deadline temperature prediction formula using the operating history data of the catalytic reaction device, it is possible to determine a deadline temperature prediction formula that takes into account the current deterioration state of the catalyst in the catalytic reaction device. This makes it possible to improve the prediction accuracy of the deadline temperature, and generate more appropriate recommended operating conditions.

[0094] The twentieth aspect is an operation assistance method including the steps of: generating recommended values ​​of the plurality of parameters indicating recommended operating conditions of the catalytic reaction device using a deadline temperature prediction formula for calculating a deadline temperature, which is a reaction temperature required at a predetermined deadline when the catalytic reaction device is operated until the predetermined deadline, from the values ​​of a plurality of parameters indicating operating conditions other than the reaction temperature of the catalytic reaction device, and a constraint condition that the deadline temperature calculated by the deadline temperature prediction formula is equal to or lower than the allowable temperature of the catalytic reaction device; and outputting the recommended operating conditions. According to the twentieth aspect, by using the constraint condition based on the deadline temperature prediction formula, recommended operating conditions that satisfy the constraint condition can be generated more flexibly. Specifically, it is possible to generate recommended operating conditions that make the reaction temperature at the predetermined deadline equal to or lower than the allowable temperature, and the catalyst of the catalytic reaction device can be used efficiently and economically.

[0095] The 21st aspect is a program that causes a computer to realize a function of generating recommended values ​​of the multiple parameters indicating recommended operating conditions of the catalytic reaction device using a deadline temperature prediction formula for calculating a deadline temperature, which is a reaction temperature required at a specified deadline when the catalytic reaction device is operated until the specified deadline, from the values ​​of multiple parameters indicating operating conditions other than the reaction temperature of the catalytic reaction device, and a constraint condition that the deadline temperature calculated by the deadline temperature prediction formula is equal to or lower than the allowable temperature of the catalytic reaction device, and a function of outputting the recommended operating conditions. According to the 21st aspect, by using the constraint condition by the deadline temperature prediction formula, recommended operating conditions that satisfy the constraint condition can be generated more flexibly. Specifically, it is possible to generate recommended operating conditions in which the reaction temperature at the specified deadline is equal to or lower than the allowable temperature, and the catalyst of the catalytic reaction device can be used efficiently and economically.

[0096] Any combination of the configurations according to the above-mentioned embodiments or aspects is also useful as an embodiment of the present disclosure. A new embodiment resulting from the combination has the effects of each of the combined examples and modifications. In addition, it will be understood by those skilled in the art that the functions to be performed by each of the constituent elements described in the claims can be realized by each of the components shown in the examples and modifications alone or in cooperation with each other. [Explanation of symbols]

[0097] 10...information processing device, 12...acquisition unit, 14...prediction equation determination unit, 16...recommendation value generation unit, 18...output unit, 20...memory unit, 22...operation performance data, 50...catalytic reaction device, 52...pump, 54...compressor, 56...heater, 58...reactor, 60...separator, 62...feedstock oil, 64...hydrogen, 72...produced oil.

Claims

1. a generation unit that generates recommended values ​​of a plurality of parameters indicating recommended operating conditions of the catalytic reaction device, using a deadline temperature prediction formula for calculating a deadline temperature, which is a reaction temperature required at a specified deadline when the catalytic reaction device is operated until the specified deadline, from values ​​of the plurality of parameters indicating operating conditions other than the reaction temperature of the catalytic reaction device, and a constraint that the deadline temperature calculated by the deadline temperature prediction formula is equal to or lower than an allowable temperature of the catalytic reaction device; An output unit that outputs the recommended operating conditions. Information processing device.

2. The deadline temperature prediction formula includes a polynomial of the plurality of parameters. The information processing device according to claim 1 .

3. The deadline temperature prediction formula includes a nonlinear term of at least one parameter among the plurality of parameters. The information processing device according to claim 1 .

4. The generation unit generates the recommended value by further using a constraint condition on a value of at least one parameter among the plurality of parameters. The information processing device according to claim 1 .

5. The generating unit generates the recommended value by further using a constraint condition that limits a value of at least one parameter among the plurality of parameters to a predetermined range. The information processing device according to claim 1 .

6. The plurality of parameters includes at least one parameter related to a throughput of the catalytic reactor; The generation unit generates the recommended value by further using a constraint condition related to the amount of processing. The information processing device according to claim 1 .

7. The plurality of parameters includes at least one parameter related to a feedstock oil input to the catalytic reactor, The generation unit generates the recommended value by further using a constraint condition related to the feedstock. The information processing device according to claim 1 .

8. The plurality of parameters includes at least one parameter related to a feedstock oil input to the catalytic reactor, The generation unit generates the recommended value by further using a constraint condition related to a specific component contained in the feedstock. The information processing device according to claim 1 .

9. The plurality of parameters includes at least one parameter related to a feedstock oil input to the catalytic reactor, The generation unit generates the recommended value by further using a constraint condition regarding a heating amount required to heat the feedstock oil to the reaction temperature. The information processing device according to claim 1 .

10. The plurality of parameters includes at least one parameter related to the product oil output from the catalytic reactor, The generating unit generates the recommended value by further using constraints on the produced oil. The information processing device according to claim 1 .

11. the plurality of parameters includes at least one parameter related to hydrogen supplied to the catalytic reactor; The generation unit generates the recommended value by further using a constraint condition related to the hydrogen. The information processing device according to claim 1 .

12. The plurality of parameters includes at least one parameter related to a blending ratio of a plurality of base oils contained in the feedstock oil input to the catalytic reaction device. The information processing device according to claim 1 .

13. The plurality of parameters include at least one parameter selected from the group consisting of the throughput of the catalytic reactor, the sulfur content of the feed oil input to the catalytic reactor, the sulfur content of the product oil output from the catalytic reactor, the hydrogen-oil ratio of the catalytic reactor, and the hydrogen partial pressure of the catalytic reactor. The information processing device according to claim 1 .

14. An acquisition unit that acquires planned values ​​of the plurality of parameters indicating planned operating conditions of the catalytic reaction device, The generating unit generates the recommended value by further using a constraint condition that causes the recommended value of at least one parameter among the plurality of parameters to correspond to the planned value. The information processing device according to claim 1 .

15. the generating unit generates the recommended value by further using a constraint condition that the deadline temperature calculated by the deadline temperature prediction formula is equal to or higher than a reference temperature that is lower than the allowable temperature. The information processing device according to claim 1 .

16. the generating unit further uses each of a plurality of constraint conditions different from each other to generate a plurality of candidates for the recommended operating condition that satisfy each of the plurality of constraint conditions; The information processing device according to claim 1 .

17. The generating unit generates a plurality of candidates for the recommended operating condition, The output unit outputs the plurality of candidates in order of magnitude of the deadline temperature. The information processing device according to claim 1 .

18. The generating unit generates a plurality of candidates for the recommended operating condition, The output unit outputs the plurality of candidates in order of a magnitude of a recommended value of at least one parameter among the plurality of parameters. The information processing device according to claim 1 .

19. An acquisition unit that acquires operational performance data indicating past operating conditions of the catalytic reaction device; A determination unit that determines the deadline temperature prediction formula using the operating performance data. The information processing device according to claim 1 .

20. A step of generating recommended values ​​of the multiple parameters indicating recommended operating conditions of the catalytic reaction device, using a deadline temperature prediction formula for calculating a deadline temperature, which is a reaction temperature required at a specified deadline when the catalytic reaction device is operated until the specified deadline, from values ​​of multiple parameters indicating operating conditions other than the reaction temperature of the catalytic reaction device, and a constraint condition that the deadline temperature calculated by the deadline temperature prediction formula is equal to or lower than an allowable temperature of the catalytic reaction device; and outputting the recommended operating conditions. Driving assistance methods.

21. a function of generating recommended values ​​of a plurality of parameters indicating recommended operating conditions of the catalytic reaction device, using a deadline temperature prediction formula for calculating a deadline temperature, which is a reaction temperature required at a specified deadline when the catalytic reaction device is operated until the specified deadline, from values ​​of the plurality of parameters indicating operating conditions other than the reaction temperature of the catalytic reaction device, and a constraint condition that the deadline temperature calculated by the deadline temperature prediction formula is equal to or lower than an allowable temperature of the catalytic reaction device; A function for outputting the recommended operating conditions is implemented in the computer. program.

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