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Oil and gas pipeline geological disaster evaluation method based on information amount-neural network

A technology of geological disasters and neural networks, applied in technical management, data processing applications, instruments, etc., can solve the problems of lack of geological disaster susceptibility evaluation pipelines and vulnerability evaluation pipelines, and achieve the effect of avoiding evaluation errors

Pending Publication Date: 2022-07-08
ZHEJIANG OCEAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The above-mentioned technical scheme lacks a comprehensive judgment on the evaluation of geological disaster susceptibility, pipeline vulnerability, and pipeline failure consequences

Method used

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  • Oil and gas pipeline geological disaster evaluation method based on information amount-neural network
  • Oil and gas pipeline geological disaster evaluation method based on information amount-neural network
  • Oil and gas pipeline geological disaster evaluation method based on information amount-neural network

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Embodiment

[0051] Embodiment: a kind of information quantity-neural network-based oil and gas pipeline geological hazard evaluation method of the present embodiment, as figure 1 shown, including the following steps:

[0052] 1) Determine the study area

[0053] First of all, the geographic location of the oil and gas pipelines should be determined, and the scope of research should be determined at the same time, and the information such as geography, resources, geological environment, remote sensing data, historical disasters, and pipeline attributes in the study area should be collected and processed, and the relevant data should be imported into ArcGIS. software. Provide data services for the establishment of subsequent evaluation models and the selection of evaluation indicators.

[0054] Secondly, the evaluation unit needs to be determined. The evaluation unit is the basic unit of evaluation and the research object, and its size and boundary directly affect the evaluation results. ...

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Abstract

The invention discloses an oil and gas pipeline geological disaster evaluation method based on an information amount-neural network, and the method comprises the following steps: determining a research region, and dividing grid units; carrying out geological disaster susceptibility evaluation; evaluating the vulnerability of the pipeline; dividing standards according to the failure consequences and determining the levels of the failure consequences; and determining the risk level of the pipeline geological disaster by using the pipeline failure probability and the failure consequence level. According to the technical scheme, geological disaster susceptibility evaluation is optimized by using a method of combining the information amount and the artificial neural network, and an accurate pipeline risk evaluation result is obtained after geological disaster susceptibility evaluation, pipeline vulnerability evaluation and pipeline failure consequence evaluation are performed on each grid unit by using the GIS. And evaluation errors caused by only considering a single factor are avoided.

Description

technical field [0001] The invention relates to the technical field of geological disaster assessment, in particular to a method for assessing geological disasters of oil and gas pipelines based on an information volume-neural network. Background technique [0002] According to statistics, by the end of 2020, the total mileage of my country's oil and gas pipelines has reached 165,000 kilometers, of which the mileage of natural gas pipelines ranks fourth in the world. my country has become the world's largest energy producer and consumer, and also the country with the fastest improvement in energy efficiency. As far as energy storage and transportation are concerned, pipeline transportation is currently the most common, economical and safest way of transportation. With the rapid development of oil and gas pipelines, they also face many risks, including third-party damage to pipelines, pipeline corrosion, pipeline construction quality problems, and the impact of geological di...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/26G06F17/11G06F17/16
CPCG06Q10/0635G06Q50/26G06F17/11G06F17/16Y02P90/82
Inventor 洪炳沅竺柏康郭健汪本寂李翠翠
Owner ZHEJIANG OCEAN UNIV
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