Patent ID: 8988236
Filing Date: 2015-03-24
Classification: E21B

Abstract:
1. A computer-implemented method for failure prediction for artificial lift well systems, the method comprising: obtaining well data representing a plurality of measured attributes from a plurality of wells over a time period; generating features from the well data based on the measured attributes; applying a random peek semi-supervised machine learning technique to the features derived from the plurality of wells to generate a failure prediction model, the applying of the random peek semi-supervised machine learning technique including: (a) splitting the well data into at least two data clusters such that a first cluster of well data is larger than a second cluster of well data, wherein the first cluster of well data is assumed to correspond to wells that do not contain one or more well failures and the second cluster of well data is assumed to correspond to wells that contain one or more well failures, and (b) adding well data from the first cluster to a training data set used to generate the failure prediction model; determining whether one or more of the plurality of wells is predicted to fail within a subsequent time period based on the failure prediction model; and outputting an alert indicative of impending failure of one or more of the plurality of wells.