公开(公告)号：US11719070B1

公开(公告)日：2023-08-08

申请号：US18174637

申请日：2023-02-26

申请人： SICHUAN UNIVERSITY ,  Yibin Industrial Technology Research Institute of Sichuan University

发明人： Xin Guo ,  Zechuan Huang ,  Wu Zhao ,  Kai Zhang ,  Miao Yu ,  Yiwei Jiang ,  Mingyue Yang ,  Chong Jiang ,  Bing Lai ,  Xingyu Chen ,  Bo Wu ,  Jun Li

IPC分类号： E21B34/06 ,  E21B43/08

CPC分类号： E21B34/066 ,  E21B43/08

摘要： A preset three-stage adjustable downhole choke with choking and pressure measurement functions includes an intake assembly for natural gas filtration, an electrically-controlled telescopic assembly for positioning and clamping the downhole choke with a prefabricated seating nipple, and a three-stage choking assembly for natural gas choking and depressurization. The intake assembly, the electrically-controlled telescopic assembly, and the three-stage choking assembly are sequentially communicated from bottom to top. A first-stage control choke, a second-stage adjustable control choke, and a third-stage control choke are sequentially provided in a gas passage of the three-stage choking assembly from bottom to top. The preset three-stage adjustable downhole choke features convenient installation and removal, three-stage choking and depressurization, and an adjustable orifice diameter of a control choke, and can achieve different choking and depressurization effects.

公开(公告)号：US11868432B1

公开(公告)日：2024-01-09

申请号：US18204973

申请日：2023-06-02

申请人： SICHUAN UNIVERSITY

发明人： Wu Zhao ,  Xin Guo ,  Miao Yu ,  Kai Zhang ,  Wei Jiang ,  Chong Jiang ,  Bing Lai ,  Yiwei Jiang ,  Jun Li ,  Bo Wu ,  Xingyu Chen

IPC分类号： G06F40/00 ,  G06F18/2135 ,  G06F17/16

CPC分类号： G06F18/2135 ,  G06F17/16

摘要： A method for extracting a kansei adjective of a product based on principal component analysis and explanation (PCA-E) includes constructing a product kansei evaluation vector matrix through original kansei adjectives; performing dimensionality reduction through PCA; and determining, based on principal component load factors, kansei adjectives representing principal components. In this way, the kansei adjectives extracted are explanatory to help users understand the selected kansei adjectives and make accurate evaluation.