Recent Articles

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ISSN: 2666-5190

Optimization of sealing solutions for insertion sealing devices in deep formation drill rod testing

This study addresses the limitations of conventional formation testing technologies in meeting the engineering demands of deep and heavy oil reservoir testing. A novel multifunctional gas-lift testing...

Performance enhancement of photovoltaic systems using a North–South single-axis solar tracker in Lebanon

Because of its scalability, adaptability, and zero-emission operation, photovoltaic (PV) technology has become a key component of sustainable energy production. However, due to the inability to consistently...

The control effect of burial evolution time limit on the organic matter pore structure of shale: A case study of the lower Silurian Longmaxi Formation shale from the periphery of the Sichuan Basin in southern China

The most critical reservoir spaces in shale formations are organic matter (OM) pores, predominantly governed by thermal maturation processes. Notably, the Lower Silurian Longmaxi shale exhibits comparable...

Machine learning-based real-time lithology prediction from drilling acoustic signals

Accurate lithology classification is essential for optimizing drilling operations and improving reservoir understanding. Conventional well logging methods often suffer from delays, limiting real-time...

Feasibility of PEM electrolysis using seawater for on-site hydrogen production at the port of New York and New Jersey

This study evaluates the real-world feasibility of deploying on-site hydrogen production at the Port of New York and New Jersey using seawater-fed proton exchange membrane (PEM) electrolysis under hard...

Wireless power transfer in offshore renewable energy: A review of technologies, challenges, and future directions

The growing demand for sustainable and reliable energy solutions in remote coastal regions has sparked significant interest in offshore renewable energy systems, including floating solar arrays, wind...

Ensemble learning for well logging evaluation of the hybrid shale brittleness index: A case from the Gaoyou sag, Subei basin

Accurate evaluation of the brittleness index (BI) is crucial for optimizing hydraulic fracturing during the extraction of hydrocarbon fluids in hybrid shale reservoirs, yet conventional petrophysical...

Machine learning applied to geochemical missing data of the Vaca Muerta unconventional reservoir: dealing with small sample sizes and heterogeneity

Geochemical data provide comprehensive insights into reservoir chemistry, commonly obtained from well logs or through the laboratory analysis of core or cuttings samples. Data may be missing from certain...

Thermal performance of masonry solar distillation unit

This study aims to assess the thermal efficiency and freshwater production of a brick-based solar distillation system in Udaipur, India (24°35′7″ N, 73°42′45″ E). An experimental test was carried out...

Multi-objective optimization of distributed generation in electrical grids using an adaptive chaotic salp swarm algorithm

This research introduces an Adaptive Chaotic Salp Swarm Algorithm (AC-SSA) for optimizing the placement and sizing of Distributed Generation (DG) units in radial distribution networks. The proposed...

Unraveling tight gas migration and accumulation mechanisms via Raman-based single-inclusion carbon isotopes and paleo-pressure reconstruction: A case study of the Jurassic Shaximiao formation, Sichuan basin

The innovative application of Raman spectroscopy for single-inclusion carbon isotope analysis represents a key advancement in understanding the migration and enrichment mechanisms of tight gas. In this...

Forecasting wind speed over multiple horizons: Superiority of deep learning and decomposition-driven hybrid models

Accurate wind speed forecasting impacts grid stability, energy pricing, and ability to replace fossil fuels with clean power, however, stochastic nature and nonlinearity of wind make prediction a challenge....

Prediction of pressure build-up distribution and geomechanical analysis in a CO2 sequestration reservoir using optimized artificial intelligence models

Injecting carbon dioxide into geological formations is a common method, but it carries significant geomechanical risks due to pore pressure buildup. This pressure increase can cause caprock failure,...

A review on microgrid control: Conventional, advanced and intelligent control approaches

A microgrid is an advanced, small-scale power grid comprising conventional and non-conventional generation units, loads, and controllers. One of the reasons behind the growing interest and research...

Modeling and simulation of hybrid fuzzy-PID and model predictive control for enhanced dual-axis photovoltaic tracking precision

This paper presents a comprehensive evaluation of several control strategies for dual-axis solar tracking systems, including proportional–integral–derivative, fuzzy logic, fuzzy–PID, and fuzzy–PID enhanced...

Robust multi-time-scale scheduling of microgrids with renewable energy interpretation and bidirectionally controlled electric vehicles using adaptive Harris hawks optimization

The increasing penetration of renewable energy sources and bidirectionally controlled electric vehicles into microgrids introduces significant uncertainty in generation output, electricity market prices,...

Modeling capillary bound water in limestone reservoirs

Precise evaluation of capillary bound water is critical for accurate hydrocarbon reserve estimation and reliable forecasting of reservoir behavior. Traditional laboratory techniques and empirical models...

Modeling geothermal reservoirs permeability based upon NMR laboratory data

Accurate permeability characterization is crucial for the efficient and sustainable development of geothermal resources. However, conventional methods like well testing and core analysis are often expensive...

Comparative impact of cold water and thermochemical cooling methods on breakdown pressure for improved stimulation in unconventional formations

High breakdown pressure poses a significant challenges in terms of pumping pressure and associated costs during stimulation operations in unconventional reservoirs. These reservoirs are characterized...

Clustering Analysis of Nanoindentation Data for Shale: Curve-Based versus Mechanical Parameter-Based Approaches

Clustering analysis of nanoindentation data is generally done to distinguish the mechanical phases and quantitatively obtain their related mechanical properties and fractions in the entire sample. Clustering...

Enhanced Maximum Power Point Tracking Performance for PV Systems in Zero-Energy Buildings: An Optimized SVR–TPE Approach with Hybrid Energy Storage and Real-Time Capability

Grid-connected photovoltaic systems used in zero-energy building applications are reliable and practically deployable only when maximum power extraction, direct-current link stability, and grid power-injection...

Resilient Control of AC Microgrids via MSOGI-FLL and Virtual Complex Impedance

This paper presents a novel and resilient control strategy for isolated AC microgrids based on a Multiple Second-Order Generalized Integrator with Frequency-Locked Loop architecture and a complex virtual...

A Novel Method for Risk Identification and Quantitative Assessment in Shale Gas Development Phase Based on STPA-FTA-DEMATEL

With the growing strategic importance of shale gas in China's energy portfolio, effective risk assessment during the production phase has become crucial. Conventional risk analysis approaches often...

Advanced Optimization Approaches for Demand Side Management in Renewable Energy Generation System

Demand Side Optimization (DSO) is a critical approach to enhancing energy efficiency and sustainability by actively managing and reducing energy consumption at the consumer level. This study investigates...

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