Výsledky vyhledávání - "subtractive fuzzy clustering algorithm"

Lithofacies discrimination of the Ordovician unconventional gas-bearing tight sandstone reservoirs using a subtractive fuzzy clustering algorithm applied on the well log data: Illizi Basin, the Algerian Sahara

Autoři: Amina Cherana Leila Aliouane Mohamed Z. Doghmane a další

Zdroj: Journal of African Earth Sciences. 196:104732

Témata: 02 engineering and technology, 0204 chemical engineering, 01 natural sciences, 0105 earth and related environmental sciences

FORECASTING THE VOLUME PRODUCTIVITY OF A SUPPLIER USING CLUSTERIZATION METHODS ; ПРОГНОЗУВАННЯ ОБ’ЄМНОЇ ПРОДУКТИВНОСТІ НАГНІТАЧА ІЗ ВИКОРИСТАННЯМ МЕТОДІВ КЛАСТЕРИЗАЦІЇ

Autoři: Kohutiak, M. I. Harasymiv, V. M. Mahas, D. M.

Zdroj: METHODS AND DEVICES OF QUALITY CONTROL; No. 1(48) (2022): METHODS AND DEVICES OF QUALITY CONTROL; 109-114 ; Методи та прилади контролю якості; № 1(48) (2022): METHODS AND DEVICES OF QUALITY CONTROL; 109-114 ; Методи та прилади контролю якості; № 1(48) (2022): МЕТОДИ ТА ПРИЛАДИ КОНТРОЛЮ ЯКОСТІ; 109-114 ; 2415-3575 ; 1993-9981 ; 10.31471/1993-9981-2022-1(48)

Témata: centrifugal supercharger, volumetric productivity, clustering, forecasting, Fuzzy C-Means algorithm, subtractive fuzzy clustering algorithm, відцентровий нагнітач, об’ємна продуктивність, кластеризація, прогнозування, алгоритм Fuzzy C-Means, алгоритм субтрактивної нечіткої кластеризації

Popis souboru: application/pdf

Relation: https://mpky.nung.edu.ua/index.php/mpky/article/view/572/578; https://mpky.nung.edu.ua/index.php/mpky/article/view/572

Dostupnost: https://mpky.nung.edu.ua/index.php/mpky/article/view/572
https://doi.org/10.31471/1993-9981-2022-1(48)-109-114

Development and evaluation of a self-generated foam–resin composite sand consolidation system for offshore oil reservoirs.

Autoři: Jiang, Mengsheng Tang, Shanfa

Zdroj: PLoS ONE; 12/5/2025, Vol. 20 Issue 12, p1-18, 18p

Subdivision of river channel sand micro-scale facies with feature attention spatio-temporal network.

Autoři: Zhao, Ruipu Zeng, Lili Fu, Chendong a další

Zdroj: Frontiers in Earth Science; 2025, p1-18, 18p

Témata: CONVOLUTIONAL neural networks, LONG short-term memory, PETROLEUM reservoirs, MACHINE learning, INJECTION wells

Research on the Distribution of Remaining Gas Based on the Dynamic Fine-Grained K-Means Recursive Algorithm.

Autoři: Zhao, Chunlan He, Xi Guo, Ping a další

Zdroj: Chemistry & Technology of Fuels & Oils; Mar2025, Vol. 61 Issue 1, p195-212, 18p

Témata: GAS dynamics, MACHINE learning, GAS distribution, FEATURE selection, NATURAL gas reserves, GAS reservoirs

Petrophysical Characteristics of the Paleocene Zelten Formation in the Gialo Oil Field, Sirte Basin, Libya: Petrophysical Characteristics of the Paleocene Zelten Formation: B. S. Nabawy et al.

Autoři: Nabawy, Bassem S. Abd El Aziz, Emad Mogren, Saad a další

Zdroj: Natural Resources Research; Feb2025, Vol. 34 Issue 1, p351-382, 32p

Témata: EARTH sciences, RESERVOIR rocks, CARBONATE reservoirs, EARTH'S core, LITHOFACIES

Identification of the low resistivity-low contrast (LRLC) gas-bearing pay zones in Shaly sand reservoirs using acoustic data: a case study from the Messinian Abu Madi formation, onshore Nile Delta, Egypt.

Autoři: Khalifa, Mohamed A. Nabawy, Bassem S. Abu-Hashish, Mohamed F. a další

Zdroj: Journal of Petroleum Exploration & Production Technology; Nov2024, Vol. 14 Issue 11, p2973-2993, 21p

Témata: GAS reservoirs, LONGITUDINAL waves, CLAY minerals, SHEAR waves, DATA logging

A Review on Intelligent Recognition with Logging Data: Tasks, Current Status and Challenges.

Autoři: Zhu, Xinyi Zhang, Hongbing Ren, Quan a další

Zdroj: Surveys in Geophysics; Oct2024, Vol. 45 Issue 5, p1493-1526, 34p

Seismic inversion based on ANN: an advanced approach towards porosity model construction in the Algerian Saharan petroleum field.

Autoři: ELADJ, S. DOGHMANE, M. Z. BENABID, M. K. a další

Zdroj: Bulletin of Geophysics & Oceanography (BGO); Sep2024, Vol. 65 Issue 3, p385-398, 14p

Témata: ARTIFICIAL neural networks, OIL fields, HYDROCARBON reservoirs, ACOUSTIC impedance, DATA logging

Prediction model of reservoir porosity via incorporating Particle Swarm Optimisation into an Adaptive Neuro-Fuzzy Inference System; application to Triassic reservoirs of the Hassi R’mel field (Algeria).

Autoři: Cherana, A. Aliouane, L.

Zdroj: Bulletin of Geophysics & Oceanography (BGO); Mar2024, Vol. 65 Issue 1, p97-114, 18p

Témata: PARTICLE swarm optimization, POROSITY, PREDICTION models, DATA logging, GAS reservoirs, SOFT computing

Geografický termín: SAHARA

Study on the Lithological Characteristics and Its Controlling on the Development of Specific Tight Sandstone Reservoirs.

Autoři: Hao, Cuiguo Wang, Zhihong Yang, Wei a další

Zdroj: Chemistry & Technology of Fuels & Oils; Jan2024, Vol. 59 Issue 6, p1231-1238, 8p

Témata: SANDSTONE, QUARTZ, SCANNING electron microscopes, ANALYTICAL geochemistry, DIAGENESIS, GAS condensate reservoirs, URANIUM-lead dating

Geografický termín: SICHUAN Sheng (China)

Automatic characterization and quantitative analysis of seismic facies in naturally fractured reservoir: Case study of Amguid Messaoud field, Algeria.

Alternate Title: Автоматичне визначення характеристик та кількісний аналіз сейсмофацій у природно-тріщинуватому пласті: практичне дослідження родовища Амгуід-Мессауд, Алжир (Ukrainian)

Autoři: Mahmoud, Hamlaoui

Zdroj: Mining of Mineral Deposits; 2023, Vol. 17 Issue 3, p42-48, 7p

Témata: GEOLOGICAL modeling, RESERVOIRS, PRINCIPAL components analysis, SEISMIC response, DISCRIMINANT analysis, POROSITY, PERMEABILITY, QUANTITATIVE research, GRABENS (Geology)

Geografický termín: ALGERIA

Application of Fuzzy Logic for Problems of Evaluating States of a Computing System.

Autoři: Buriboev, Abror Kang, Hyun Kyu Ko, Myeong-Cheol a další

Zdroj: Applied Sciences (2076-3417); 8/1/2019, Vol. 9 Issue 15, p3021, 17p

Témata: FUZZY logic, COMPUTER systems, SUPERCOMPUTERS

Geografický termín: UNITED States

Using ELM Techniques to Predict Data Centre VM Requests.

Autoři: Ismaeel, Salam Miri, Ali

Zdroj: 2015 IEEE 2nd International Conference on Cyber Security & Cloud Computing; 2015, p80-86, 7p

Simple power distribution load forecasting method based on fuzzy modelling

Autoři: Snježana Blagajac Davor Škrlec Slavko Krajcar a další

Přispěvatelé: Snježana Blagajac Davor Škrlec Slavko Krajcar a další

Zdroj: LESCOPE 01. 2001 Large Engineering Systems Conference on Power Engineering. Conference Proceedings. Theme: Powering Beyond 2001 (Cat. No.01ex490). :93-97

Témata: power distribution system planning, load forecasting, fuzzy clustering, fuzzy modelling, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://www.bib.irb.hr/71340
https://ieeexplore.ieee.org/document/941633/

Multistep-ahead flood forecasts by neuro-fuzzy networks with effective rainfall-run-off patterns.

Autoři: Chang, F.J. Chiang, Y.M. Ho, Y.H.

Zdroj: Journal of Flood Risk Management; Sep2015, Vol. 8 Issue 3, p224-236, 13p

Témata: FLOOD forecasting, ARTIFICIAL neural networks, RAINFALL, RUNOFF analysis, TYPHOONS, HYDROLOGIC models

Self-Adaptive Prediction of Cloud Resource Demands Using Ensemble Model and Subtractive-Fuzzy Clustering Based Fuzzy Neural Network.

Autoři: Chen, Zhijia Zhu, Yuanchang Di, Yanqiang a další

Zdroj: Computational Intelligence & Neuroscience; 1/26/2015, Vol. 2015, p1-14, 14p

Témata: ADAPTIVE control systems, CLOUD computing, FUZZY clustering technique, FUZZY neural networks, VIRTUAL machine systems, RESOURCE allocation

A spatial neural fuzzy network for estimating pan evaporation at ungauged sites.

Autoři: Chung, C.-H. Chiang, Y.-M. Chang, F.-J. a další

Zdroj: Hydrology & Earth System Sciences; 2012, Vol. 16 Issue 1, p255-266, 12p

Témata: ARTIFICIAL neural networks, FUZZY systems, ESTIMATION theory, PAN evaporation, WATER supply management, HYBRID systems, MATHEMATICAL models, GEOLOGICAL statistics

Auto-control of pumping operations in sewerage systems by rule-based fuzzy neural networks.

Autoři: Chiang, Y. -M. Chang, L. -C. Tsai, M. -J. a další

Zdroj: Hydrology & Earth System Sciences; 2011, Vol. 15 Issue 1, p185-196, 12p

Témata: SEWERAGE, AUTOMATIC control systems, PUMPING stations, FUZZY systems, ARTIFICIAL neural networks, WATER levels, RELIABILITY in engineering

Predicting the Longitudinal Dispersion Coefficient Using Support Vector Machine and Adaptive Neuro-Fuzzy Inference System Techniques.

Autoři: Noori, Roohollah Karbassi, Abdulreza Farokhnia, Ashkan a další

Zdroj: Environmental Engineering Science; Oct2009, Vol. 26 Issue 10, p1503-1510, 8p, 1 Chart, 1 Cartoon or Caricature

Témata: HYDRAULIC measurements, RIVERS, LONGITUDINAL method, REGRESSION analysis, STATISTICAL correlation, QUANTITATIVE research