Abstract: The present disclosure belongs to the field of drilling fluid additives, and particularly relates to a phase-change heat storage microcapsule material suitable for cooling a drilling fluid and a preparation method therefor. The phase-change heat storage microcapsule material of the present disclosure consists of a high molecular wall material wrapped outside, a phase-change heat storage material as a core material and nano-graphite doped therein, and the microcapsules have an overall size within the range from 20 ?m to 80 ?m.

Abstract: A method for predicting a size range of a lost circulation channel based on deep learning (DL) is provided. The method includes the following steps: S1: acquiring data of the lost circulation channel, and establishing a prediction dataset of the size range of the lost circulation channel; S2: preprocessing the prediction dataset of the size range of the lost circulation channel, and determining the size range of the lost circulation channel; S3: establishing a prediction model for the size range of the lost circulation channel; and S4: optimizing the prediction model for the size range of the lost circulation channel, and predicting the size range of the lost circulation channel. The method overcomes the shortcomings of conventional methods, for example, the prediction value of the size of the downhole lost circulation channel is single, inaccurate and not real-time.