Accurate prediction of the poststimulation skin factor (
S
) is vital for optimizing productivity in carbonate reservoirs. Conventional approaches, such as well‐test analysis, are costly and time‐consuming, limiting their use for real‐time decision‐making. This study introduces a data‐driven framework that levera...
Seif Al Bustanji, Salama A. Mostafa, A. Prajapati et al.· Journal of Petroleum Geology· 0 citations
Partially filled storage and transport tanks often radiate objectionable low-frequency sound because liquid sloshing, flexible shell modes, and uncertain damping interact in the same operating band. This paper develops a compact hydroelastic vibro-acoustic design method for a vertical cylindrical tank equipped with int...
S. Mohammad, Yogeesh Nijalingappa, Seif Al Bustanji et al.· Sound & Vibration· 0 citations
Quasi-zero-stiffness (QZS) isolators possess a combination of high load capacity and low dynamic stiffness; however, their characteristics are sensitive to geometric nonlinearity, frequency-dependent dissipation, excitation amplitude and epistemic uncertainty. In this study, a new design scheme is proposed to produce t...
S. Mohammad, Yogeesh Nijalingappa, Seif Al Bustanji et al.· Sound & Vibration· 0 citations
Passive tuned mass dampers are effective near their design frequencies but can lose performance or exceed travel limits when structural properties are imprecise. This paper develops an interval type-2 fuzzy α-plane minimax method for the simultaneous allocation, tuning, and damping design of a three-absorber bank on a...
Sulieman Ibrahim Mohammad, Yogeesh Nijalingappa, Seif Al Bustanji et al.· Sound & Vibration· 0 citations
Level graphs and strong level graphs are introduced as tools to define and compute the chromatic number of BIFGs, demonstrating that the proposed level-graph method yields exact chromatic numbers for classes of BIFGs.
Fikadu Tesgera Tolasa, V. N. S. R. Repalle, G. A. Ganati et al.· F1000Research· 0 citations
A hybrid data-driven framework integrating a Temporal Convolutional Network, Bidirectional Long Short-Term Memory, and Extreme Gradient Boosting for accurate LIB RUL prediction provides a robust and computationally efficient solution for intelligent battery health monitoring, predictive maintenance, and smart battery m...
T. Mariprasath, Kumaresh S. S., Seif Al Bustanji et al.· Energy Exploration & Exp...· 0 citations
The reliable estimation of remaining useful life (RUL) of rolling bearings plays a critical role in maintaining the reliability of modern industrial equipment and minimizing machine downtime. However, the conventional vibration-based prognostic methods tend to experience challenges in predicting the remaining useful li...
Sulieman Ibrahim Mohammad, A. Vasudevan, Seif Al Bustanji et al.· Sound & Vibration· 0 citations
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