Patent ID: 8374834
Filing Date: 2013-02-12
Classification: F04D,G05B,G06Q

Abstract:
1. A method for predicting time-to-occurrence of different types of events in an oilfield equipment system that comprises components in different component categories, the method comprising: providing a group of Explanatory Variables that comprises factor type Explanatory Variables and covariate type Explanatory Variables wherein the covariate type Explanatory Variables comprise numeric Explanatory Variables for each of the different component categories that specify a number of components in a respective one of the different component categories; identifying significant multi-level factor type Explanatory Variables with respect to the oilfield equipment system by performing an individual statistical analysis on each multi-level factor type Explanatory Variable of the group of Explanatory Variables to provide respective p-values and comparing each of the respective p-values to a selected critical p-value as a statistical threshold to demarcate a statistically analyzed multi-level factor type Explanatory Variable as significant with respect to performance of the oilfield equipment system; generating a model using the identified significant multi-level factor type Explanatory Variables and at least one of the covariate type Explanatory Variables using two or more numeric Explanatory Variables for different component categories wherein the different types of events comprises an event associated with one of the different component categories or with two or more of the different component categories; and interpreting the model to obtain an estimate of time-to-occurrence of one or more of the different types of events.