Reservoir gas drilling safety risk analysis system based on BP neural network

Abstract

The invention belongs to the technical field of drilling safety, and discloses a reservoir gas drilling safety risk analysis system and method based on a BP neural network. A gray correlation analysisof reservoir gas drilling risk identification is carried out; fuzzy identification of the reservoir gas drilling risk identification is carried out; the invention aims at the engineering practical problem of risk control of a gas drilling reservoir, the method and software achievement for real-time observation and prediction of gas drilling accident identification are established through basic theory analysis, model establishment and computer simulation analysis by combining modern information acquisition, data processing, risk intelligent identification and management technologies to reducethe possibility of safety risk occurrence to the greatest extent. According to the invention, a drilling accident identification method based on gray correlation degree is provided by utilizing a graycorrelation analysis method. The identification example shows that the method of risk prediction with grey correlation degree is feasible and has the advantages of small calculation amount, simplicity and convenience, reliable result and the like.

Description

technical field [0001] The invention belongs to the technical field of drilling safety, in particular to a reservoir gas drilling safety risk analysis system based on BP neural network. Background technique [0002] Drilling is a hidden underground project, and there are a lot of fuzzy, random and uncertain problems. Due to the unclear understanding of the objective situation or the subjective decision-making error, many complicated situations and even serious accidents will occur. The light ones consume a lot of manpower, material resources and time, and the severe ones lead to the abandonment of the whole well. According to the analysis of drilling data in recent years, during the drilling process, the time spent dealing with complex situations and drilling accidents accounts for about 6-8% of the total construction time. In an oil field with hundreds of drilling rigs, there are 6-8 drilling rigs in a year What an astonishing waste it is to do useless work, not to mention...

AI Technical Summary

Problems solved by technology

[0005] There are a lot of problems of ambiguity, randomness and uncertainty in drilling. Due to the unclear understanding of the objective situation or the wrong decision-making of the subjective consciousness, many complicated situations and even serious accidents will occur, and the lighter ones will consume a lot of manpower, material resources and time. , the severe one will lead to the abandonment of the whole well

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