A novel time-delay multivariable grey model and its application in predicting oil production

H Duan, G Wang, Y Song, H Chen - Engineering Applications of Artificial …, 2025 - Elsevier
An accurate prediction of oil production can provide a scientific basis for planning the
production of the Qinghai oilfield and help in rationally arranging resources. To address the …

Comparison and analysis of several quantitative identification models of pesticide residues based on quick detection paperboard

Y Zhang, Q Zheng, X Chen, Y Guan, J Dai, M Zhang… - Processes, 2023 - mdpi.com
Pesticide residues have long been a significant aspect of food safety, which has always
been a major social concern. This study presents research and analysis on the identification …

[HTML][HTML] Optimization of Well Patterns in Offshore Low-Permeability Thin Interbedded Reservoirs: A Numerical Simulation Study in the Bozhong Oilfield, China

G Wu, Y Ma, Y Cao, A Zhang, W Liu, J Wang, X Yang - Energies, 2025 - mdpi.com
Offshore low-permeability thin interbedded reservoirs contain significant oil reserves and are
crucial for future development. However, due to the high cost and operational challenges …

An Artificial Neural Network Model for Infill Well Placement and Control Optimization During Foam Injection in Heterogeneous Oil Reservoirs

OI Nwanwe, NC Izuwa, NP Ohia, A Kerunwa - Arabian Journal for Science …, 2024 - Springer
Infill well placement and well control optimization can be conducted by trial and error and
direct optimization methods using reservoir simulators which are computationally expensive …

Production Forecasting in Gas Lifted Wells using Interpretable Machine Learning Techniques

SO Isehunwa, GT Awojinrin… - SPE Nigeria Annual …, 2024 - onepetro.org
Traditional techniques, such as decline curve analysis (DCA) and material balance, are
industry-accepted standards for evaluating reservoir performance and estimating developed …

Explorando o futuro energético do Paraguai com uma abordagem estatística.

NK Echterhoff - 2024 - dspace.unila.edu.br
Este trabalho representa o projeto de conclusão de curso do autor na graduação em
Engenharia de energia. Desenvolveu-se neste trabalho dois métodos de criação de …

Application of Big Data in Industry and Commerce Based on Data Mining Algorithm

H Liao - Proceedings of the First International Conference on …, 2024 - eudl.eu
Data collection is the main content industrial and commercial big data, but in the process of
big data processing, the quality of data and the source of data will be processed. The result …