METHOD FOR PREDICTION OF STICKING OF DRILLING PIPES Russian patent published in 2020 - IPC G06N3/08 

FIELD: oil and gas industry.

SUBSTANCE: invention relates to oil and gas industry and can be used for prediction of sticking of drill string during design or drilling of oil and gas wells using neuron network model. Disclosed is a method of predicting sticking of drilling pipes at the design stage or during well drilling, characterized by that a list of measured, determined and specified indirect-diagnostic parameters of well drilling is created; creating a set of sticking data from records of previously drilled wells; separating elements of indirect diagnostic parameters (IDP) into sub-elements with assignment of fractional values in accordance with their main element; method involves dividing a set of stick data into mini sets with subsequent normalization of mini-sets; creating a first prediction model based on training and verification mini-sets based on a fully-connected neural network; testing a first model on a test mini-set; creating a second prediction model based on the training and verification mini-sets based on the modular neural network; testing a second model on a test mini-set; constructing a final prediction model based on ensemble of the first and second model with combined training on training and verification mini-sets; testing the ensemble of models on the test mini-set; performing the ensemble of models model performance on the full data set by the k-block cross-validation method; procedure is carried out for prediction of sticking of a drill string using an ensemble of models of a neural network and obtaining the results of predicted values, which indicate the probability of sticking with indicating the group at the stage of designing or during well drilling, by the following method: IDP is measured, calculated, selected and determined for predicted drilling interval of the projected or drilled well, then IDP values are normalized and transmitted to a prediction model, which in turn outputs a stuck prediction, if the model predicts the absence of clamping, then the prediction procedure for the existing IDPs is completed, if the model predicts clamping with stapling group, then it is necessary to correct values of the controlled parameters from the IDP list and repeat the prediction procedure until a negative stuck prediction is achieved.

EFFECT: high reliability of prediction and diagnosis of the state of drill string on risk of sticking.

1 cl, 11 dwg