16results about "Reforming process control/regulation" patented technology

The utility model belongs to the technical field of petrochemical engineering, and particularly provides a system for controlling the blending hydrogenation crude gasoline proportion of a reforming device, which comprises a normal pressure naphtha control pipeline, a hydrogenation crude gasoline control pipeline, a raw material buffer tank, a gasoline mixing unit, a liquid level controller I and a liquid level controller II, the problems that a traditional blending mode is not timely in adjustment, poor in precision, poor in reforming reaction effect, unstable in product quality and increased in equipment operation risk are solved, the liquid level in the raw material buffer tank is accurately, stably and effectively adjusted and controlled, and a solid guarantee is provided for efficient and stable operation of the device and improvement of the product quality.

The invention discloses a high-yield and low-carbon-deposition regulation and control method and system for a continuous regenerative catalytic reforming reaction. The method comprises the following steps: at the beginning, setting a weighted average inlet temperature for the four-in-one reforming reactor and setting an inlet temperature of each bed layer; measuring the content of naphthenic hydrocarbon in naphtha to be added at the beginning, and setting the initial average pressure of the four-in-one reforming reactor according to the content of naphthenic hydrocarbon in naphtha to be added; naphtha is added into the four-in-one reforming reactor for a reaction; in the reaction process, the weighted average inlet temperature of the four-in-one reforming reactor, the inlet temperature of each bed layer, the catalyst circulation rate and the average pressure are regulated and controlled in real time; and ending the experiment. The method breaks through the critical path of the current technical bottleneck, and has important significance for improving the product selectivity of the continuous regeneration catalytic reforming process, reducing the energy consumption and prolonging the service life of the catalyst.

The invention discloses a temperature peak positioning method and system for a continuous reforming regenerator, and solves the problems of poor combustion temperature prediction precision and insufficient stability of the continuous reforming regenerator in the prior art, and the method comprises the steps: collecting process variables from a DCS system, building a three-dimensional model of the continuous reforming regenerator, and carrying out the prediction of the combustion temperature of the continuous reforming regenerator; obtaining temperature field and temperature peak position coordinates under each different working condition; establishing a mechanism model based on mass-energy balance and reaction kinetics in the regeneration process, adopting an XGBoost algorithm as data driving compensation, constructing a hybrid model of mechanism constraint and XGBoost data driving compensation, and performing training; and based on the trained hybrid model, batch processing reasoning is adopted, and current temperature peak coordinates and prediction credibility are output. A hybrid model with physical interpretability and high precision is constructed, prediction errors under extreme working conditions are reduced, and model stability is guaranteed.

Processes and apparatus for reforming hydrocarbons to reduce the impact of contaminants created by non-catalyst coking. The reaction zone receives sulfur to inhibit the impact, and a control index is used to control the determine conditions with generally lower pressures. Additionally, a compression zone, pressure control zone and combustion zone operation are provided for the operation of the reaction zone at the generally lower pressures.

Embodiments of systems and methods for enhancing control of catalytic reformer operations are disclosed. A method includes receiving product data indicative of a property of a product of a catalytic reformer and receiving feedstock data indicative of a feedstock for processing by the catalytic reformer. A target octane number or target octane-barrels for the reformate may be specified and a machine learning model generates an adjustment to a parameter of the catalytic reformer based on the feedstock data and the product data to achieve an enhanced yield of hydrogen gas while achieving the target octane number of the reformate, wherein the machine learning model is trained with catalytic reformer historical data indicative of operating parameters, operational constraints, the feedstock, and products of the catalytic reformer.

The process upgrades a low value heavy aromatics stream into a high value BTX precursor stream. It treats the C9 to C 12 Naphthalene molecules in the heavy aromatics stream of the aromatics are converted to BTX precursors by partially hydrogenating one of the aromatic rings prior to the transalkylation reactor and subsequently ring opening the saturated ring to form a single aromatic ring. The remaining C 11 Monaromatics to achieve an overall increased BTX yield.

A method for operating a continuous catalytic reformer unit may include passing a hydrocarbon reactant stream to a continuous catalytic reformer unit to form one or more product effluent streams, the continuous catalytic reformer unit comprising at least one stream pre-heater, at least one catalytic reactor, and at least one separation unit; implementing a hydrocarbon reformer process control system comprising a hydrocarbon reformer variable data memory comprising processor-executable instructions, a hydrocarbon reformer output translation module, and one or more predictive hydrocarbon reformer modeling processors configured to execute the processor-executable instructions and cause the process control system to: receive one or more signals indicative of one or more present state variables from one or more state variable actuator hardwares, wherein the present state variables are process variables that cannot be directly set in the continuous catalytic reformer unit; and receive one or more signals indicative of one or more present control variables of the continuous catalytic reformer unit from one or more control variable actuator hardwares, wherein the present control variables are process variables that can be directly set in the continuous catalytic reformer unit; and generate, by utilizing a machine learned model, an improved control variable that increases a selected performance variable based on the inputs of one or both of one or more present state variables or one or more present control variables, wherein the improved control variable wherein the machine learned model is trained utilizing inputs of at least historic state variable data, historic control variable data, and historic performance variable data; and adjusting one or more present control variables of the continuous catalytic reformer unit based on the improved control variable determined by the machine learned model.

Methods and systems are provided for delimiting a gas plant during fluid catalytic cracking unit (FCCU) revamp as part of the olefin production system. These methods and system include a chiller unit in the gas concentration unit downstream of the FCCU. Other measures also include installing a stripper unit downstream of the regenerator of the FCCU or installing a quench line in a reactor of a FCCU to reduce the contact time of the hydrocarbon feedstock with the catalyst. These methods and systems may also lead to an increase in the propylene yield of the olefin production system

The present disclosure relates to the aromatization of hydrocarbons with an aromatization catalyst, including methods of aromatization comprising the use of a continuous catalyst regeneration type reformer.

The invention provides a C10 recovery device capable of generating steam, and belongs to the technical field of petroleum refining, the C10 recovery device comprises a first feed preheater, a second feed preheater, a C10 cutting tower, a tower top steam generator and a tower top hot water heat exchanger, enabling the raw oil to enter a C10 cutting tower at a preset temperature for separation treatment to form a gaseous light component; the tower top steam generator is connected between the tower top of the C10 cutting tower and the tower top hot water heat exchanger and is used for carrying out secondary condensation treatment on the gaseous light components, low-pressure steam and liquid light components subjected to primary condensation are generated after the light components are subjected to condensation treatment through the tower top steam generator, and the low-pressure steam and the liquid light components are subjected to secondary condensation treatment through the tower top hot water heat exchanger. And condensing the liquid light component through a tower top hot water heat exchanger to generate hot water for heat tracing and a product of C10 and below, wherein the product of C10 and below is output as a reforming raw material in a hot discharge form. According to the invention, the recovery of C10 and below products can be realized.

The invention discloses a heat recovery integrated catalytic reforming system for efficiently producing high-octane gasoline and a catalytic reforming method. The system comprises a pretreatment unit, a first-stage catalytic reforming unit and the like, the pretreatment unit is communicated with the first-stage catalytic reforming unit and a heat recovery subsystem and is communicated with a fine separation unit through the heat recovery subsystem, and the first-stage catalytic reforming unit is communicated with a hydrogen circulation subsystem. The fine separation unit is respectively communicated with the deep isomerization unit, the second-stage catalytic reforming unit and the third-stage reinforced reforming unit, the deep isomerization unit is communicated with the product blending unit, the second-stage catalytic reforming unit is communicated with the product blending unit through a heat recovery subsystem, and the third-stage reinforced reforming unit is communicated with the product blending unit. And the hydrogen circulation subsystem is respectively communicated with the first-stage catalytic reforming unit, the second-stage catalytic reforming unit and the third-stage reinforced reforming unit. The gasoline octane number and the liquid yield are remarkably improved, and the catalyst coking rate and the system energy consumption are reduced.

Methods and systems are provided for defining a gas plant during fluidized catalytic cracking unit (FCCU) retrofit that is part of an olefin production system. These methods and systems include a cooler unit in a gas concentration unit downstream of the FCCU. Other measures also include installing a stripper unit downstream of the regenerator of the FCCU or installing a quench line in the reactor of the FCCU to reduce the contact time of the hydrocarbon feedstock with the catalyst. These processes and systems may also result in an increase in propylene yield of an olefin production system.

Embodiments of systems and methods for enhancing control of refining and product blending pool operations are disclosed. A method includes receiving sensor data, by a machine learning model, including a feedstock composition in an isomerization process and predicting a quantity of heat released by the isomerization of the feedstock in a lead reactor. The method further includes predicting an adjustment to one or more of a heat input or feedstock feed rate to the lead reactor to counter the predicted quantity of heat and implement the adjustment to one or more of a heat input or feedstock feed rate to the lead reactor.

The invention discloses a molecular-level catalytic reforming device simulation and optimization method, and belongs to the technical field of molecular-level catalytic reforming device optimization. The method comprises the following steps: performing accuracy evaluation on feed data measured by a gas chromatograph based on feed data acquisition and analysis parameters to provide an accurate input basis for subsequent catalytic reforming process simulation, and performing feed data marking based on an obtained accuracy evaluation result to avoid simulation deviation caused by sampling errors; state evaluation is performed on the catalytic reforming process on the basis of catalytic state parameters, the effect of the catalytic reforming process is monitored in real time, and whether state abnormity adjustment is performed or not is judged on the basis of a state simulation result obtained by a constructed molecular-level process model, so that inactivation compensation of a catalyst and process optimization of catalytic reforming device simulation are realized. The problem of simulation distortion caused by deactivation of the catalyst is solved, and the accuracy of simulating the conversion rate of the feed component under the action of the catalyst by the catalytic reforming device is remarkably improved.

Embodiments of systems and methods for enhancing control of refining and product blending pool operations are disclosed. A method includes receiving, by a machine learning model, a customer specification specifying at least one property for a blended formulation and accessing a business data including an inventory of products in a blending pool, including a quantity of each product and a listing of known properties of each product. The method further includes generating, by a machine learning model, a plurality of blended formulations based on the inventory of products and predicting properties for one or more of the generated blended formulations. The method also includes retaining the generated blended formulations whose predicted properties meet or are better than the customer specification and publishing a list of the retained generated blended formulations.

A method for operating a continuous catalytic reformer unit can include passing a hydrocarbon reactant stream to a continuous catalytic reformer unit comprising at least one stream preheater, at least one catalytic reactor, and at least one separation unit to form one or more product effluent streams; a hydrocarbon reformer process control system is implemented, the hydrocarbon reformer process control system including a hydrocarbon reformer variable data memory including processor executable instructions, a hydrocarbon reformer output conversion module, and one or more predictive hydrocarbon reformer modeling processors. The predictive hydrocarbon reformer modeling processor is configured to execute processor executable instructions and cause a process control system to: receive one or more signals from one or more state variable actuator hardware, the signals indicating one or more current state variables, wherein the current state variable is a process variable that cannot be directly set in the continuous catalytic reformer unit; and receiving one or more signals from the one or more control variable actuator hardware, the signals indicating one or more current control variables of the continuous catalytic reformer unit, where the current control variables are process variables that can be set directly in the continuous catalytic reformer unit; and generating an improved control variable by utilizing a machine learning model, the improved control variable increasing a selected performance variable based on an input of one or both of the one or more current state variables or the one or more current control variables, wherein the improved control variables in the machine learning model are trained by using inputs of at least historical state variable data, historical control variable data, and historical performance variable data; and adjusting one or more current control variables of the continuous catalytic reformer unit based on the improved control variables determined by the machine learning model.