Drilling well underground kick processing method and device with self-feedback adjustment

Abstract

A drilling well underground kick processing method and device are described. The method includes: collecting actual logging data zat current moment; predicting, according to a filtering estimation value {circumflex over (x)}of logging data at previous moment and the actual logging data zat the current moment, a state prediction value {circumflex over (x)}and a filtering estimation value {circumflex over (x)}of the logging data at the current moment under the normal drilling condition by using a Kalman filter; inputting a prediction error, an innovation vector and a Kalman filtering gain matrix Kat the current moment into a pre-trained BP neural network; obtaining a corrected filtering estimation value {circumflex over (x)}of the logging data at the current moment according to a filtering residual and the filtering estimation value {circumflex over (x)}of the logging data at the current moment; and determining that a kick occurs under the condition that the corrected filtering estimation value {circumflex over (x)}is not matched with the actual logging data z.