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Refracturing technology is one of the key technologies to recover the productivity of horizontal wells in tight oil reservoirs, and the selection of best candidate wells from target blocks is the basis of this technology. Based on the refracturing production database, this paper analyzes the direct relationship between geological data, initial fracturing completion data, and dynamic production data, and the stimulation effect of refracturing. Considering the interaction among multiple factors, the factors affecting the stimulation effect of refracturing are classified and integrated, and a comprehensive index including geology, engineering, and production is constructed, making this index meaningful both for physical and engineering properties. The XGBoost decision tree model is established to analyze the weight of influence for the comprehensive index of geology, engineering, and production in predicting the stimulation effect of refracturing. A comprehensive decision index of refracturing well selection is formed by combining the above three for performing a fast selection of horizontal candidate wells for fracturing. Taking a horizontal well test area in Songliao Basin as an example, the target wells of refracturing are selected by this method, and field operation is carried out, and a good stimulation effect is achieved. The results show that the comprehensive decision-making index constructed by this method is reliable and has certain guiding significance for well selection and stimulation potential evaluation of tight oil reservoir.

This paper is based on a shaking table test of 2 × 2 straight pile groups and 2 × 2 inclined pile groups in non-liquefied sand and saturated sand with different thicknesses. Under the sine wave with a certain peak acceleration and frequency, the lateral dynamic response characteristics, the distribution law of the maximum bending moment envelope diagram, and the p–y curve of the straight and inclined pile groups are studied. The results show that the bending moment of the straight pile group is 3~4 times that of the inclined pile group at the bottom section of the pile in the 300 mm saturated sand. When the thickness of the saturated sand increases to 380 mm, the maximum bending moment of the straight pile group is 6~7 times that of the inclined pile group at the bottom section of the pile. Through the comparison of indicators, it shows that the inclined pile group can have better bending resistance when subjected to the same lateral dynamic load.

Under the influence of the post-epidemic era, due to the limitations of people's mobility and the e-commerce mechanism that encouraged by both Internet and Douyin platform. These make the online shopping format become more popular which not only attract more people to join the e-commerce industry of Douyin platform but also attract many superstars. As superstars have their own star effect, when they are an e-commerce anchor, they will be very different from other e-commerce bloggers in attracting audiences. This article takes video blogger and star Nailiang Jia as an example which through case analysis and in-depth interviews and using Douyin's official platform Douchacha to analyze the differences between stars and anchors. According to the list of the corresponding advantages and disadvantages, which can explore the psychological activities of the audience under the influence of live streaming on the Douyin platform. The final research results show that most of the audience will place an order based on sufficient demand. Because of the failed shopping experience of some consumers, they will not place too many orders due to the star effect. In addition, the commodity explanations will affect audience psychology and the sales of products brought by anchors or stars. The authors hope that this study can provide some insights for future scholars in this field.