«Onshore and offshore oil and gas well construction»

Investigation of the method for selecting input data for fuzzy systems during assessing the suitability of a jack-up rig for a design point

UDC: 622.242.4
DOI: 10.33285/0130-3872-2021-12(348)-53-57

Authors:

¹ RANS, Moscow, Russian Federation

Keywords: fuzzy rules; membership function; jack-up drilling rig; assessment of jack-up rig suitability; deepening of the shoe of the supports; the probability of the failure of the supports when deepening

Annotation:

As it is known, in fuzzy systems and fuzzy sets, input and output variables play the role of linguistic variables. In this case, the base of the fuzzy rule is based on a clear regulator, where the rule is "if … then". The principles of these complex systems, described by fuzzy relations, generate a large number of rules for inference of a finite element. The grouping of the state into clusters, on the basis of which conclusions are drawn about the value of the output variable, is performed by an expert based on his experience and knowledge. Ideally, the number of clusters should correspond to the number of attributes by which the value of the output variable is classified. But actually it is not. In the absence of experts, as a rule, a classification is made according to special criteria. One way to group descriptive states into clusters is presented in this article. It is applicable when solving the problem of determining the suitability of a jack-up drilling rig for a design point.

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