Novel drilling well fault recognition system

Abstract

The invention belongs to the technical field of drilling well fault recognition, and discloses a drilling well fault recognition system. The system includes a symptom characteristic vector construction module, a fuzzy relation matrix establishment module, and a prediction gas drilling failure feature recognition module; the symptom characteristic vector construction module is used for constructinga symptom characteristic vector X=([mu]x1,[mu]x2, ...[mu]x11, [mu]x12); the fuzzy relation matrix establishment module is used for establishing a fuzzy relation matrix R; according to a fuzzy relation Y=X*R, Y is obtained by solving; a fault feature vector Y=([mu]y1, [mu]y2, ...[mu]y6, [mu]y7) is obtained, wherein an accident type corresponding to a largest component of the Y is a recognition result; [mu]xi is a degree of membership of an object with a symptom xi; and the prediction gas drilling failure feature recognition module is used for recognizing a prediction gas drilling failure feature in real time. The system studies a method of applying a modern fault recognition technology and a mathematical method to the drilling well fault recognition by analyzing parameter variation characteristics of drilling well faults, proposes a feasible scheme, is very necessary for improving the accuracy of the drilling well fault recognition, and enables loss brought by a complicated situation to be reduced to a lowest limit.

Description

technical field [0001] The invention belongs to the technical field of drilling fault identification, in particular to a novel drilling fault identification system. Background technique [0002] At present, the commonly used existing technologies in the industry are as follows: drilling is a hidden underground project, and there are a lot of fuzzy, random and uncertain problems. Due to unclear understanding of objective conditions or subjective decision-making mistakes , will produce many complex situations and even cause serious accidents. The light ones will consume a lot of manpower, material resources and time, and the serious ones will 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 y...

AI Technical Summary

Problems solved by technology

[0004] There are a lot of ambiguity, randomness and uncertainty in drilling faults. At present, the identification of drilling faults is mostly judged by experience. Modern fault identification technology and mathematical methods have not been applied to the identification of drilling accidents. The accuracy of drilling fault identification degree is not high

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