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Your search keyword '"Zhu, Qingyuan"' showing total 334 results
Start Over Author "Zhu, Qingyuan" Publication Type Academic Journals
334 results on '"Zhu, Qingyuan"'

5. Quantitative characterization of microscopic pore structure and oil recovery evaluation in porous carbonate reservoirs

Author

WANG Muyuan, LI Yong, WU Keliu, CHEN Zhangxing, LI Jing, FENG Dong, ZHU Qingyuan, and GUO Shiqiang

Subjects
porous carbonate reservoir, microscopic pore structure, digital core, quantitative characterization, oil recovery, Chemical technology, TP1-1185, Petroleum refining. Petroleum products, TP690-692.5, Geology, QE1-996.5
Abstract

Porous carbonate reservoirs are characterized by strong heterogeneity and diverse pore types， with significant differences in waterflooding recovery and unclear main controlling factors. Based on the pore throat size distribution curves， the microscopic pore structure of the reservoir was qualitatively classified. Through digital core technology， a method for quantitative characterization of microscopic pore structure was established to clarify the pore throat characteristics of porous carbonate rocks in a region of the Middle Eastern， and indoor physical experiments on waterflooding were conducted to clarify the differences in the oil recovery of different types of cores and their main controlling factors. The results show that ① The microscopic pore structure of the reservoir in the study area can be classified into coarse unimodal type， fine unimodal type I， fine unimodal type II， coarse bimodal type， and multimodal type. There is no significant relationship between storage performance and core homogeneity； the single-phase flow capacity of non-unimodal type is better than that of unimodal type； unimodal type becomes worse with increasing core homogeneity. ②The average coordination number and pore-throat ratio of the non-unimodal type are higher than those of the unimodal type. The average coordination number and pore-throat ratio decreased with the increase of core homogeneity for the unimodal type. The upper limit of the pore-throat ratio tends to decrease with increasing throat radius for all types， and the upper limit of coordination number increases exponentially with increasing pore radius. ③Macroscopically， core homogeneity is the main controlling factor of oil displacement efficiency； microscopically， high connectivity at large pore-throat and large pore-throat ratio at small pore-throat are the fundamental reasons for non-unimodal type to have significantly lower oil displacement efficiency than unimodal type. Pore-throat size is the crucial factor of oil displacement efficiency of unimodal type.

Published
2024
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47. A Novel Fuzzy Logic Switched MPC for Efficient Path Tracking of Articulated Steering Vehicles.

Author

Chen, Xuanwei, Cheng, Jiaqi, Hu, Huosheng, Shao, Guifang, Gao, Yunlong, and Zhu, Qingyuan

Subjects
FUZZY control systems, CONDITIONALS (Logic), FUZZY logic, ARTICULATED vehicles, PREDICTION models, TRACKING algorithms
Abstract

This paper introduces a novel fuzzy logic switched model predictive control (MPC) algorithm for articulated steering vehicles, addressing significant path tracking challenges due to varying road conditions and vehicle speeds. Traditional single-model and parameter-based controllers struggle with tracking errors and computational inefficiencies under diverse operational conditions. Therefore, a kinematics-based MPC algorithm is first developed, showing strong real-time performance but encountering accuracy issues on low-adhesion surfaces and at high speeds. Then, a 4-DOF dynamics-based MPC algorithm is designed to enhance tracking accuracy and control stability. The proposed solution is a switched MPC strategy, integrating a fuzzy control system that dynamically switches between kinematics-based and dynamics-based MPC algorithms based on error, solution time, and heading angle indicators. Subsequently, simulation tests are conducted using SIMULINK and ADAMS to verify the performance of the proposed algorithm. The results confirm that this fuzzy-based MPC algorithm can effectively mitigate the drawbacks of single-model approaches, ensuring precise, stable, and efficient path tracking across diverse adhesion road conditions. [ABSTRACT FROM AUTHOR]

Published
2024
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