Crude oil condensation recognition method based on artificial intelligence and equipment

A technology of artificial intelligence and recognition method, which is applied in the field of petroleum industry, can solve the problems of not being able to obtain the condensation of waxy crude oil in real time, and achieve the effect of reducing the risk of condensation, eliminating hidden dangers, and restoring fluidity
CN113642199AActive Publication Date: 2021-11-12DESHI ENERGY TECH GRP CO LTD +2
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
DESHI ENERGY TECH GRP CO LTD
Publication Date
2021-11-12

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Abstract

The invention discloses a crude oil condensation identification method based on artificial intelligence and equipment, belongs to the technical field of petroleum industry, and aims to solve the problem that the condensation condition of wax-containing crude oil in an oil pipeline cannot be obtained in real time. The method comprises the following steps of: drawing a propagation sound velocity change curve and an attenuation coefficient change curve at each node of an oil pipeline; performing feature extraction on each change curve to obtain a first curve feature vector of each change curve; after obtaining a new propagation sound velocity and attenuation coefficient, updating the new propagation sound velocity and attenuation coefficient to the corresponding change curves, and performing feature extraction on the updated change curves to obtain second curve feature vectors; obtaining feature change values based on the first curve feature vectors and the second curve feature vectors; based on the feature change values, determining whether the change curves suddenly change or not; and if not, determining the condensation degree of the crude oil at the node where an ultrasonic transmitting device is located based on the finally determined propagation sound velocity and attenuation coefficient.
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Description

technical field

[0001] The present application relates to the technical field of petroleum industry, in particular to an artificial intelligence-based crude oil condensation recognition method and equipment. Background technique

[0002] Pipeline transportation of high pour point and high viscosity crude oil is a complex process. However, the waxy crude oil in the high pour point and high viscosity crude oil is a complex mixture of multi-component hydrocarbons and non-hydrocarbons. During the production and transportation process, as the temperature decreases, the wax crystals in the crude oil will continue to precipitate. And crosslink each other to form a network structure with a certain strength, and then present the so-called gelation phenomenon. Therefore, at present, waxy crude oil is mainly transported by heating pipelines to ensure the fluidity of waxy crude oil in the pipeline.

[0003] However, the composition and flow state of the crude oil produced in the actua...

Claims

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