Showing 1 - 20 results of 133 for search 'Fluid low algorithm', query time: 0.11s Refine Results
  1. 1

    Fluid Identification of Deep Low-Contrast Gas Reservoirs Based on Random Forest Algorithm by CAO Yuan, ZHAO Yuanliang, YUAN Xuehua, YUAN Long, RONG Junqing, ZHAO Pan, BIE Kang

    Published 2023-12-01
    “…However, the degree of carbonate cement development is the main factor of the reservoirs with low contrast in the northern well area. The accuracy of the fluid identification model of low contrast gas reservoir based on random forest algorithm is 89.25%, which weakens the multiple solutions caused by a single fluid identification factor and provides a reliable basis for the efficient development of gas fields.…”
    Get full text
    Article
  2. 2

    Comprehensive Evaluation Method for Complex Fluid in Low Porosity and Low Permeability Reservoirs by ZHENG Yang, LU Yunlong, SHI Xinlei, ZHU Meng

    Published 2024-08-01
    “…Comparing and analyzing the logging and logging data of oil, gas, and water layers confirmed by testing, pressure measurement, and sampling, it is believed that the intersection amplitude of volume compression coefficient and Poisson’s ratio, apparent formation water resistance, gas logging anomaly multiple, and pyrolysis gas chromatography are more sensitive to the response of fluid properties. Based on the four types of parameters mentioned above, a fluid discrimination model for oil, gas, and water layers is established using support vector machine algorithm, with 70 samples of oil, gas, and water layers confirmed through testing, pressure measurement, and sampling as data samples, including 51 samples as training samples and 19 samples as testing samples. …”
    Get full text
    Article
  3. 3

    Multi-objective Path Planning for AUVs Based on Improved Whale Optimization Algorithms and Fluid Disturbance Algorithms by Yuhong MA, Wen PANG, Daqi ZHU

    Published 2025-06-01
    “…To address the challenges of low path planning efficiency for autonomous undersea vehicle(AUV) in multi-target environments, as well as the limitations of the traditional whale optimization algorithm(WOA) in terms of susceptibility to local optima and inadequate adaptability to three-dimensional obstacle avoidance requirements, this study proposed a collaborative planning strategy that integrated a fluid perturbation algorithm with an improved WOA. …”
    Get full text
    Article
  4. 4
  5. 5

    Application of SVM algorithm in fluid prediction of volcanic reservoirs in Nanpu Sag, Bohai Bay Basin by ZHANG Ying,QU Lili,ZHU Lu,ZHANG Yan,HAN Siyang,ZENG Cheng

    Published 2023-04-01
    “…The prediction application of SVM algorithm shows that it has low calculation complexity and strong generalization ability, which can quickly identify the fluid properties of volcanic rocks and provide a reliable basis for the analysis of oil and gas accumulation rules and the production and development of geological reserves.…”
    Get full text
    Article
  6. 6
  7. 7
  8. 8

    Paradigm predictive analysis of two-phase Eyring–Powell fluid flow over a vertical stretching sheet with temperature-dependent viscosity by multilayer neural networks by Zahoor Shah, Hamza Iqbal, Waqar Azeem Khan, Taseer Muhammad, Muhammad Shoaib

    Published 2025-08-01
    “…Deep-learning neural networks optimized with the Levenberg-Marquardt algorithm (DLNNs-LMA) is a supervised AI-based approach that is used to analyze the Eyring Powell fluid in a two-phase flow (EPFM-TPF) with dust particles and at temperature-dependent viscosity. …”
    Get full text
    Article
  9. 9

    Application of High Efficiency and High Precision Network Algorithm in Thermal Capacity Design of Modular Permanent Magnet Fault-Tolerant Motor by Yunlong Yi, Sheng Ma, Bo Zhang, Wei Feng

    Published 2025-07-01
    “…Aiming at the problems of low thermal analysis efficiency and high computational cost of traditional computational fluid dynamics (CFD) methods for modular fault-tolerant permanent magnet synchronous motors (MFT-PMSMs) under complex working conditions, this paper proposes a fast modeling and calculation method of motor temperature field based on a high-efficiency and high-precision network algorithm. …”
    Get full text
    Article
  10. 10
  11. 11

    Optimization of an Organic Rankine Cycle–Vapor Compression Cycle System for Electricity and Cooling Production from Low-Grade Waste Heat by Łukasz Witanowski

    Published 2024-11-01
    “…The optimization was conducted for 10 different cases by evaluating five working fluids across two different ambient temperatures. …”
    Get full text
    Article
  12. 12
  13. 13
  14. 14

    Current Situation and Prospect of Fluid Identification in Non-Resistivity Logging by YUAN Lixin, WU Hongliang, FENG zhou, TIAN Han, WANG Kewen, LIU Peng

    Published 2024-06-01
    “…Currently resistivity logging is the primary method for fluid identification. However, accurately identifying fluid properties in formations with low porosity and permeability, significant reservoir heterogeneity, and unique mineral development poses challenges. …”
    Get full text
    Article
  15. 15
  16. 16
  17. 17

    Internal Damper Characteristics of Rotor System with Submerged ER Fluid Journal Bearing by Siyoul Jang, John A. Tichy

    Published 1997-01-01
    “…Fluid film pressure and perturbation pressures are solved using switch function of Elord's algorithm for cavitation boundary condition. …”
    Get full text
    Article
  18. 18

    Fluid Dynamics of Biomimetic Pectoral Fin Propulsion Using Immersed Boundary Method by Ningyu Li, Yumin Su

    Published 2016-01-01
    “…Numerical simulations are carried out to study the fluid dynamics of a complex-shaped low-aspect-ratio pectoral fin that performs the labriform swimming. …”
    Get full text
    Article
  19. 19
  20. 20

    Enhancing prediction of fluid-saturated fracture characteristics using deep learning super resolution by Manju Pharkavi Murugesu, Vignesh Krishnan, Anthony R. Kovscek

    Published 2024-12-01
    “…While past literature has offered solutions to improve resolution of CT rock images, including deep learning-based algorithms, our study uniquely focuses on improving dynamic, partially and fully fluid-saturated geological images. …”
    Get full text
    Article