Check patentability & draft patents in minutes with Patsnap Eureka AI!

Optimization method of multi-crude oil multi-property blending

An optimization method and linear blending technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as difficulty in obtaining the optimal proportion of the ratio, poor calculation consistency, and low calculation efficiency

Inactive Publication Date: 2012-09-12
HOHAI UNIV
View PDF2 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Currently, the ratios of various crude oils involved in blending are mostly calculated manually. Affected by knowledge, experience and sense of responsibility, the calculation consistency is poor, there is a lot of room for further optimization, and the calculation efficiency is low.
The most important thing is that it is difficult to obtain the optimal ratio of the ratio when there are many properties of the optimization objective and the blending rules contain nonlinearity

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Optimization method of multi-crude oil multi-property blending
  • Optimization method of multi-crude oil multi-property blending
  • Optimization method of multi-crude oil multi-property blending

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0046] Such as figure 2 As shown, the core content of the multi-crude oil multi-property blending optimization method of the present invention includes blending rule base, optimization preprocessing, equipment constraints, multi-crude oil multi-property optimization model and constrained adaptive particle swarm optimization. Based on the blending rule library and equipment constraints, an optimization model for crude oil blending with multiple crude oils and multiple properties is established. Based on the constrained adaptive particle swarm optimization algorithm, the properties (or factors) after optimized pretreatment are quickly and accurately optimized. Calculate and obtain the optimal ratio of various components of crude oil.

[0047] 1. Blending rule base:

[0048] There is a linear or nonlinear relationship between the different properties...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an optimization method of multi-crude oil multi-property blending which optimizes the various properties of target crude oil by calculating the crude oil blending quality ratio of various ingredients. The specific steps of the invention in order are as following: establishing a blending rule base of crude oil property, proceeding optimized pretreatment, setting up the restraint size of the device according to the practical working capability of a crude oil blending device, establishing a multi-crude-oil multi-property optimization model, and proceeding optimization computation based on the restraint self-adaption particle swarm optimization to obtain the optimal ratio of crude oil with various ingredients. The optimization method establishes the multi-crude-oil multi-property optimization model on the basis of the blending rule base and device constraint. Based on the restraint self-adaption particle swarm optimization algorithm, the fast and accurate optimization calculation is carried out after the optimized pretreatment to obtain the optimal ratio of crude oil with multiple ingredients. The optimization method avoids the situation that the multi-crude oil ratio of crude oil being blended depends on manual calculation which has bad calculation conformance and low calculation efficiency, and the situation that the acquired ratio is not the optimal ratio.

Description

technical field [0001] The invention relates to a method for optimizing calculation of crude oil blending, in particular to a multi-crude oil and multiple-property optimization calculation method for calculating the mass ratio of crude oil blending with various components so that multiple properties of target crude oil can reach optimal values. Background technique [0002] Crude oil blending refers to the process of blending two or more crude oils according to a certain ratio to obtain mixed crude oil with desired physical and chemical properties. With more and more varieties of crude oil and varying quality, how to blend various crude oils into crude oil with stable properties and conforming to the constraints of the elastic processing range of relevant refining equipment through crude oil blending has gradually become a major issue for refining and chemical enterprises. The most important work at all levels from planning, scheduling, operation execution to post-evaluation...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 叶彦斐王柏林
Owner HOHAI UNIV
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More