Desulfurization device corrosion risk early warning method based on cloud model

Abstract

The invention discloses a cloud model-based desulfurization device corrosion risk early warning method, which introduces uncertainty analysis of a cloud model and a qualitative-to-quantitative method into an early warning model, and belongs to the technical field of crossing of safety science and engineering and oil and gas engineering. The method is characterized by comprising the following steps: firstly, screening factors influencing the corrosion risk of a desulfurization unit of the high-sulfur-content natural gas purification plant based on corrosion monitoring of the high-sulfur-content natural gas purification plant, field inspection and maintenance of purification plant devices and a corrosion coupon experiment, and establishing a corrosion risk early-warning index system; calculating an index weight by using an order relation analysis method; giving a risk threshold to each index, constructing a forward normal cloud generator by using a cloud model calculation method, and generating an index risk cloud picture by using the forward normal cloud generator; ,importing the data of the to-be-evaluated object into a forward normal cloud generator to calculate the cloud membership of each early warning index, carrying out weighted summation on the cloud membership of each early warning index to obtain a weighted cloud membership, and selecting the risk level of the maximum weighted cloud membership as the early warning risk level of the desulfurization device according to the risk maximum membership principle so the corrosion risk early warning of the desulfurization device is realized.

Description

Technical field [0001] The patent of the present invention belongs to the cross-technical field of safety engineering and petroleum gas engineering, and is specifically involved in a corrosion risk warning method for desulfurization devices. Background technique [0002] The acid gas desulfurization device has high acid gas load, high treatment amount, and the amount of amine circulation, which are easily damaged by corrosion, which has caused natural gas leakage, and seriously affects the safe production of natural gas purification plants. Therefore, the inventive risk early warning method of a desulfurization device is of great significance for the safety production of the purifier. [0003] Corrosion risk warnings are based on corrosion risk assessment, however, corrosion factors are coupled, information overlap, corrosion mechanism is complex, and the production process data is randomly strong and carries noise. The fuzzy comprehensive evaluation and probability risk assessme...

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Problems solved by technology

[0003] Corrosion risk early warning is based on corrosion risk assessment. However, corrosion factors are coupled with each other, information overlaps, corrosion mechanism is complex, and production process data is highly random and carries noise.

Currently used methods such as fuzzy comprehensive evaluation and probabilistic risk assessment can only simply solve the fuzzy or random problems in the risk early warning process

At the same time, the method of fuzzy comprehensive evaluation and data processing is relatively blunt, and it reacts too aggressively to production data fluctuations and noises, and it is prone to the problem of excessively high or low early warning.

Probabilistic risk assessment also relies heavily on device failure probability databases

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