2 results about "Automatic sequence" patented technology

An end-to-end well construction system includes an e-program for receiving a first input selected from well planning data, rig historical performance data, rig parameters, drilling engineering input, management of change, and a combination thereof, and configured to produce a first output selected from a machine and / or human readable sequence, a time depth curve, a drilling program, and a combination thereof, and a second output including analytics data. Further, the end-to-end well construction system includes a drilling control layer, configured to receive the first output from e-program, and to produce a third output including an automated sequence, and a smart well analytics system configured to receive the analytics data from the e-program and a second input selected from drilling data, downhole data, base data from the e-program, a modeling software, and a combination thereof, and to produce a fourth output to the drilling control layer for automated adjustment.

The application provides a sequence labeling method and device, electronic equipment and a storage medium, wherein the method comprises: determining a text to be labeled; inputting the text to be labeled into a sequence labeling model to obtain a labeling result output by the sequence labeling model; the sequence labeling model is obtained by applying a teacher model to knowledge transfer of each hidden layer in a student model based on a hidden layer correspondence relationship between the teacher model and the student model, and the hidden layer correspondence relationship is determined based on similarity between each group of hidden layers in the teacher model and each hidden layer in the student model. The method, device, electronic equipment and storage medium provided by the application can ensure flexibility and simultaneity of selection of the teacher model and the student model, improve knowledge transfer efficiency, ensure reliability of knowledge transfer, and thus the sequence labeling model obtained can meet high reliability, low latency and low energy consumption required by an industrial scene, and help application expansion of automatic sequence labeling.