Safety integrity level evaluation method for marine oil well control equipment

Abstract

The invention belongs to the field of marine oil and specifically relates to a safety integrity level evaluation method for marine oil well control equipment. The safety integrity level evaluation method for the marine oil well control equipment comprises the following three steps: creating a safety instrument function evaluation module and dividing related equipment executing a safety instrumentfunction into a sensor subsystem, a controller subsystem and an executor subsystem, respectively building a dynamic Bayes network model of each subsystem and calculating, and synthesizing safety integrity data of the subsystems and performing optimization analysis; and in a process of building the dynamic Bayes network models, fully considering influence of structural configuration of the marine oil well control equipment, connection relations among all the units as well as degeneration maintenance inspection parameters on an evaluation process. The method provided by the invention has the main advantages that a safety instrument system is divided into multiple safety instrument function modules to be evaluated, and the safety integrity data is quantitatively calculated by adopting a dynamic Bayes network method, so that data is more detailed and accurate.

Description

technical field [0001] The invention belongs to the field of offshore oil, and in particular relates to a method for evaluating the safety integrity level of offshore oil well control equipment. Background technique [0002] In offshore oil and gas exploration and development, well control equipment must ensure the normal execution of safety functions when necessary, and it constitutes a generalized safety instrumented system with blowout and kick parameter detection equipment. The safety integrity level (Safety Integrity Level, SIL) is divided according to the probability that the safety instrumented system performs the safety instrument function under the specified time and conditions. The safety instrumented system is mainly used to monitor the state of the production process, judge potential dangers, and timely alarm or directly execute safety functions for dangerous abnormal conditions, so as to avoid or reduce the occurrence of dangerous accidents, eliminate or reduce ...

AI Technical Summary

Problems solved by technology

The FTA model, RBD model, and Petri net methods lack flexibility and are difficult to meet the requirements of accurate calculations; the Markov model method is flexible in calculation and can describe different characteristics of different systems, but the model complexity of the Markov model method increases with the increase of nodes and node states Exponential increase; the simplified formula method is more direct and convenient, not universal, and cannot take into account the degradation law, maintenance and other effects

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