10 results about "Petroleum processor" patented technology

The invention relates to the technical field of petroleum refining process and industrial automatic control, in particular to a closed-loop intelligent control refined diesel hydrogenation filtration parameter optimization method which comprises the following steps: step 1, acquiring refined diesel sulfur content and raw oil flow data in real time, and generating an effective sulfur concentration sequence through dynamic weighted filtering; 2, calculating a local blockage coefficient of the catalyst; 3, outputting a real-time activity factor of the catalyst through an activity attenuation relational expression; 4, dynamically calculating and predicting the adsorption capacity; 5, generating an instruction for shortening the backwashing period and reducing the filtering rate; 6, generating a backwashing intensity adjusting instruction in proportion according to the absolute value of the sulfur concentration change slope; 7, adjusting the filtering rate, the backwashing period and the washing intensity; and 8, if the target value is not reached, returning to the step 2, and re-evaluating the activity of the catalyst. According to the method, the accuracy and the stability of the data are effectively improved, and reliable real-time data support is provided for subsequent filtering parameter optimization.

The present application relates to a kind of technical upgrading of waste catalyst treatment process in petroleum refining process, and a new type of centrifugal washing equipment is provided by independent research and development, the equipment is composed of rack, shell, drum assembly, spray system, transmission system etc., while the complete set of oil removal device including hopper feeder, washing oil tank, washing oil pump, screw conveyor, preheater and gas-liquid separation tank etc. is built with the equipment. A centrifugal washing and oil removal method for oil-containing waste catalyst is also provided, which includes the following steps: (a) collecting and automatically feeding waste catalyst slurry; (b) primary centrifugal washing, using light oil as an extractant to remove heavy oil impurities on the surface of the catalyst; (c) recycling waste oil, and periodically recovering waste oil; (d) secondary centrifugal washing, using hot gas at a certain temperature to blow and strip oil droplets on the surface of the catalyst, and recovering the catalyst after deep purification; (e) gas-liquid separation of oil-containing waste gas to obtain clean cooling gas and waste oil.

Some aspects of the present invention relate to a sealing system for a decapitation or isolation valve in a petroleum refining process. Some aspects relate to a bellows seal to prevent the leakage of petroleum products and steam into the valve. Some aspects relate to a restrictor to limit the movement of a dynamic seat relative to a seat base structure.

This invention relates to the field of industrial water treatment technology, specifically to a high-efficiency water-saving and emission-reduction system and method for circulating cooling water in petroleum refining processes. The system includes: a circulating cooling water bypass filtration unit for receiving a portion of the high-temperature, easily scale-forming circulating cooling water after heat absorption and filtering out suspended solids; and a circulating cooling water bypass high-efficiency crystallization and softening unit for receiving another portion of the high-temperature, easily scale-forming circulating cooling water after heat absorption. If the water hardness exceeds a preset value, the circulating cooling water undergoes rapid crystallization and softening treatment, followed by deep filtration to remove hardness. If the water hardness does not exceed the preset value, the other circulating cooling water is directly subjected to deep filtration to remove hardness. This solution reduces the concentration of scale-forming ions in the circulating cooling water, reduces the concentration of suspended solids and turbidity in the circulating cooling water, and achieves high-efficiency water saving and emission reduction.

This invention belongs to the field of paraffin wax production technology, and discloses a composite wax, its preparation method, and its application. The composite wax is prepared from the following raw materials in the following mass percentages: products from the petroleum refining process account for less than 65%, vacuum gasified oil accounts for less than 30%, and paraffin wax accounts for less than 70%. This invention uses high-wax-content intermediate products as the base raw material. Through property analysis of various raw material samples, a special formula for emulsion explosives was developed. Compared with existing technologies, the special composite wax for emulsion explosives of this invention has low cost, stable source, and meets the requirements of new emulsion explosive production processes and performance improvements.

The application discloses petroleum-based rocket kerosene and a preparation method thereof. The petroleum-based rocket kerosene comprises naphthenes, paraffins and / or aromatics; the content of the naphthenes is 70-95%, the content of the paraffins is 0-30%, and the content of the aromatics is 0-5% based on 100% of the total weight of the petroleum-based rocket kerosene; and the carbon number of molecules of the naphthenes, the paraffins and the aromatics is distributed between C7 and C16. The petroleum-based rocket kerosene is prepared from catalytic cracking diesel oil generated in a petroleum refining process through a process flow of fractionation-hydrogenation-fractionation, and can prepare rocket kerosene meeting key index requirements of GJB 9629, greatly expands the source of raw materials, and has high economic value and application prospect.

1. Name of the product in this design: Oil storage tank. 2. Purpose of this design: For storing gaseous or liquid chemical substances produced during the petroleum refining process. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention discloses an intelligent alarm method based on an SCADA system, and relates to the technical field of intelligent alarm, and the method is technically characterized in that the method comprises the steps: S1, carrying out the real-time monitoring of a petroleum refining process, collecting the non-stationary trend data in the petroleum refining process, and enabling the non-stationary trend data to be data to be observed; s2, performing data segmentation on the to-be-observed data; and S3, performing adaptive weight calculation on the process variable of the non-stationary trend in the to-be-observed data, and sequentially processing the early warning event by an operator according to a calculation result. According to the invention, an adaptive weight calculation method is adopted, a reasonable early warning variable processing sequence is provided for an operator, the process operation state is tracked in real time through on-line trend monitoring and adaptive early warning of process variables, the pre-control timeliness of an alarm system is improved, fault symptoms can be found in time, adverse factors causing faults are eliminated, and the fault early warning efficiency is improved. And safe and reliable operation of the process is ensured.

The invention provides a preparation method and device of residue type low-sulfur fuel oil, and belongs to the technical field of petroleum refining processes and equipment. The method comprises the following steps: firstly, carrying out electro-desalting and passivator atomization pretreatment on raw materials, and cooperatively inhibiting the formation of a coking precursor by combining light distillate oil dilution and a passivator; then, a graded hydrodesulfurization process is adopted, macromolecular sulfides are selectively cracked through a demetallization agent and the sulfur content is controlled to be 1.0-1.8 wt% through a Co-Mo catalyst in sequence under the mild condition, and the desulfurization depth and the cracking degree are balanced; the obtained oil product is subjected to sulfolane reinforced counter-current extraction to efficiently remove colloid-coated thiophene sulfide, finally, low-sulfur hydrogenation bypass light oil is dynamically doped based on real-time NIR detection, a viscosity reducer is added, and the sulfur content and viscosity of a final product are synchronously regulated and controlled. According to the method, the coking risk is reduced through staged hydrogenation-extraction cooperation, raw material fluctuation is adapted by means of a sulfur-viscous dynamic regulation mechanism, a repeated temperature adjustment link of a traditional process is eliminated, compared with a traditional hydrogenation process, the energy consumption is reduced by 18-22%, and the operation cycle of a device is remarkably prolonged.

This invention relates to the fields of petroleum refining processes and industrial automatic control technology, and particularly to a closed-loop intelligent control method for optimizing the hydrofiltration parameters of refined diesel fuel. The method includes: Step 1: Real-time acquisition of sulfur content in refined diesel fuel and feedstock flow rate data, followed by dynamic weighted filtering to generate an effective sulfur concentration sequence; Step 2: Calculation of the catalyst local clogging coefficient; Step 3: Output of the catalyst real-time activity factor based on the activity decay relationship; Step 4: Dynamic calculation and prediction of adsorption capacity; Step 5: Generation of instructions to shorten the backwash cycle and reduce the filtration rate; Step 6: Generation of backwash intensity adjustment instructions proportional to the absolute value of the sulfur concentration change slope; Step 7: Execution of adjustments to the filtration rate, backwash cycle, and backwash intensity; Step 8: If the target value is not reached, return to Step 2 for catalyst activity reassessment. This method effectively improves the accuracy and stability of the data, providing reliable real-time data support for subsequent filtration parameter optimization.