Well drilling overflow early warning method and device

Abstract

The invention discloses a well drilling overflow early warning method and device, and the method comprises the steps: building an overflow data set for neural network training and neural network input according to well logging data and well drilling engineering data of well drilling; a BP-LSTM neural network model is established; training the BP-LSTM neural network model by using the training sample data set to obtain an overflow early warning neural network model; inputting the test sample data set into an overflow early warning neural network model to obtain a first drilling well overflow occurrence probability; according to well logging data and well drilling engineering data of well drilling, pressure in a shaft is calculated, and a second well drilling overflow occurrence probability is obtained; performing weighted calculation on the first drilling overflow occurrence probability and the second drilling overflow occurrence probability to obtain a weighted probability of drilling overflow; and when the weighting probability exceeds a preset value, early warning information of well drilling overflow is sent out. According to the invention, accuracy and processing efficiency of well drilling overflow early warning can be improved.

Description

technical field [0001] The invention relates to the technical field of oil and gas exploration and development, in particular to a drilling overflow early warning method and device. Background technique [0002] This section is intended to provide a background or context to embodiments of the invention that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] With the continuous extraction of crude oil, the field of oil and gas exploration and development is changing from conventional oil and gas resources to deep ultra-deep layers and ocean deep water, facing challenges such as resource degradation and exploration diversification. [0004] Due to factors such as inaccurate formation information prediction and improper drilling operations, overflows occur frequently. [0005] When overflow occurs, if it is not found in time or too late, it will cause serious downhole accidents, such as blowout. Facts ha...

AI Technical Summary

Problems solved by technology

[0006] At present, the change of the difference between inlet and outlet flow, the change of drilling fluid property parameters and the change of bottom hole parameters are mostly used as the basis for judging overflow early warning. Early warning lag, high false alarm rate and other issues

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