Xiong Liu¹, Yueqi Cui^1,*, Yirui Ren¹, Lingxuan Peng², Yuchan Cheng¹, Zhiyuan Du¹, Yu Chen¹, Lishan Cao³

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.11, pp. 2815-2828, 2025, DOI:10.32604/fdmp.2025.073775 - 01 December 2025

Abstract This study explores the impact of salinity on fluid replacement during imbibition-driven oil recovery through a series of core self-imbibition experiments. By integrating key parameters such as interfacial tension, contact angle, and oil displacement efficiency, we systematically examine how variations in salinity level, ion type, and ion concentration affect the imbibition process. The results demonstrate that the salinity of the injected fluid exerts a strong influence on the rate and extent of oil recovery. Compared with high-salinity conditions, low-salinity injection, particularly below 5000 mg·L⁻¹, induces pronounced fluctuations in the replacement rate, achieving the highest recovery at More >

Chinedu Nwaigwe^1,2,*, Abdon Atangana²

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.5, pp. 1239-1259, 2025, DOI:10.32604/fdmp.2025.059925 - 30 May 2025

Abstract In the early stages of oil exploration, oil is produced through processes such as well drilling. Later, hot water may be injected into the well to improve production. A key challenge is understanding how the temperature and velocity of the injected hot water affect the production rate. This is the focus of the current study. It proposes variable-viscosity mathematical models for heat and water saturation in a reservoir containing Bonny-light crude oil, with the aim of investigating the effects of water temperature and velocity on the recovery rate. First, two sets of experimental data are… More >

Dalal AL-Alimi¹, Mohammed A. A. Al-qaness^2,3,*, Robertas Damaševičius^4,*

CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 3539-3561, 2025, DOI:10.32604/cmc.2025.059869 - 17 February 2025

Abstract Accurate forecasting of oil production is essential for optimizing resource management and minimizing operational risks in the energy sector. Traditional time-series forecasting techniques, despite their widespread application, often encounter difficulties in handling the complexities of oil production data, which is characterized by non-linear patterns, skewed distributions, and the presence of outliers. To overcome these limitations, deep learning methods have emerged as more robust alternatives. However, while deep neural networks offer improved accuracy, they demand substantial amounts of data for effective training. Conversely, shallow networks with fewer layers lack the capacity to model complex data distributions… More >

Jiapeng Wang¹, Bo Zhang^1,*, Haoqiang Cheng¹, Zhixiang Xu²

Journal of Renewable Materials, Vol.11, No.10, pp. 3595-3612, 2023, DOI:10.32604/jrm.2023.030005 - 10 August 2023

Abstract A new method of pretreatment of corn straw with Phanerochaete chrysosporium combined with pyrolysis was proposed to improve the quality of bio-oil. The characterization results demonstrated that microbial pretreatment was an effective method to decrease the lignin, which can achieve a maximum removal rate of 44.19%. Due to the destruction of biomass structure, the content of alkali metal and alkaline earth metal is reduced. Meanwhile, the depolymerized biomass structure created better pyrolysis conditions to promote the pyrolysis efficiency, increase the average decomposition rate of pyrolysis and reduce the residue. In fast pyrolysis, because of the enrichment… More > Graphic Abstract

Hongfei Ma^1,*, Wenqi Zhao², Yurong Zhao¹, Yu He¹

CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1773-1790, 2023, DOI:10.32604/cmes.2022.020498 - 20 September 2022

Abstract Accurate prediction of monthly oil and gas production is essential for oil enterprises to make reasonable production plans, avoid blind investment and realize sustainable development. Traditional oil well production trend prediction methods are based on years of oil field production experience and expertise, and the application conditions are very demanding. With the rapid development of artificial intelligence technology, big data analysis methods are gradually applied in various sub-fields of the oil and gas reservoir development. Based on the data-driven artificial intelligence algorithm Gradient Boosting Decision Tree (GBDT), this paper predicts the initial single-layer production by More >

Aleksandr Lekomtsev^1,*, Vitaliy Bakaneev¹, Ivan Stepanenko¹, Petr Maximov¹, Yulia Rozhkova¹, Alexey Dengaev², Wanli Kang³

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.2, pp. 285-301, 2023, DOI:10.32604/fdmp.2022.019809 - 29 August 2022

Abstract A new integrated oil production enhancement technology based on water-flooding energy recovery is proposed. After providing an extensive review of the existing scientific and technical literature on this subject, the proposed integrated technology is described together with the related process flow diagram, the criteria used to select a target facility for its implementation and the outcomes of the laboratory studies conducted to analyze emulsion formation and separation kinetics. Moreover, the outcomes of numerical simulations performed using Ansys CFX software are also presented. According to these results, using the proposed approach the incremental oil production may More >

Yanyue Li¹, Changlong Liu¹, Wenbo Bao^1,*, Baoqing Xue¹, Peng Lv¹, Nan Wang¹, Hui Li¹, Wenguo Ma²

FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.3, pp. 737-749, 2022, DOI:10.32604/fdmp.2022.019139 - 22 February 2022

Abstract

Due to long-term water injection, often oilfields enter the so-called medium and high water cut stage, and it is difficult to achieve good oil recovery and water reduction through standard methods (single profile control and flooding measures). Therefore, in this study, a novel method based on “plugging, profile control, and flooding” being implemented at the same time is proposed. To assess the performances of this approach, physical simulations, computer tomography, and nuclear magnetic resonance are used. The results show that the combination of a gel plugging agent, a polymer microsphere flooding agent, and a high-efficiency

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