This study investigates the impact of thermal aging on heavy oil properties and displacement efficiency through laboratory simulations of steam-cycled samples from Romania’s Suplacu field. Using quartz sand-packed displacement tubes, we analyzed oil-water displacement dynamics under controlled thermal conditions (150°C) and varying steam cycle histories (1–19 cycles). Results demonstrate that increased steam exposure enhances permeability (up to 8,000 mD) and reduces pressure drops (65–160 psi), indicating improved flow efficiency. Thermal alteration also decreased residual carbon content (7.71–9.19%) while increasing total acid number (TAN) (2.38–4.41 mg KOH/g), suggesting simultaneous oil upgrading and oxidative degradation. The experiments reveal that prolonged aging (7 months) and multiple steam cycles significantly improve displacement efficiency, though diminishing returns occur beyond optimal cycle counts. These findings highlight the critical balance between thermal recovery benefits and chemical degradation in heavy oil reservoirs. The study provides actionable insights for optimizing cyclic steam stimulation (CSS) in mature fields, emphasizing the need for customized thermal EOR strategies that account for viscosity reduction, carbon residue evolution, and acidity management.

The rapid growth of solar photovoltaic (PV) technology is expected to generate a surge of end-of-life (EoL) panel waste – on the order of 60–78 million tons globally by 2050. Managing this waste is a critical environmental and economic challenge. This article serves as a literature review on recycling silicon-based solar panels, covering mechanical, chemical, and thermal methods, as well as policy frameworks. Policy-wise, the European Union’s extended producer responsibility (EPR) requirements under the WEEE Directive have driven the highest recycling rates, while most other regions lack harmonized mandates. Technologically, a combination of mechanical preprocessing (e.g. shredding, delamination) and advanced recovery (thermal or chemical) achieves the best material recovery yields. Innovative processes – such as pyrolysis and novel molten salt etching – can recover over 95% of materials including high-value silver and silicon. However key gaps include insufficient global policy coordination, undeveloped recycling capacity in many regions, and uncertainties in the quality and reuse of recovered materials. Addressing these gaps and enabling the reuse of recycled materials in new panels will be decisive for a sustainable solar PV industry.

Abstract: This article examines key factors affecting the accuracy of measurements during refueling with liquefied natural gas (LNG), focusing on technological and procedural challenges. Special attention is given to the cryogenic properties of LNG, the design and insulation of pipelines, and the optimization of dispenser algorithms. The research explores methods to minimize errors caused by two-phase flow and evaporation, emphasizing advanced materials, flowmeter technologies, and automation systems. The study highlights the importance of accurate fuel accounting for reducing environmental risks, improving economic efficiency, and promoting LNG as a sustainable fuel alternative. The proposed solutions contribute to standardizing LNG refueling technologies and improving operational reliability.

This research explores using ethanol, biodiesel, and diesel blends in compression ignition engines to enhance efficiency and reduce environmental impact. It examines the effects of fuel composition on combustion properties, engine performance, and emissions. Findings indicate that while ethanol can improve combustion, it may reduce power output and increase emissions of pollutants like HC and NOx. The study highlights the complexity of optimising fuel blends influenced by engine parameters and injection conditions. Despite challenges, blends show promise in reducing emissions like CO and PM, offering cleaner alternatives for diesel engines and aiding in environmental conservation.

This paper presents the development of models for predicting specific mechanical energy (MSE) using machine learning techniques: artificial intelligence (AI), artificial neural networks (ANN) and multiple linear regression (MLR). The case study from the Colibași oil field in Romania was done. The description of the field and the data of the previous well are presented and the stratigraphic column of the well consists of Helvetian, Meotian, Pontian,and Dacian. Two applications regarding MSE prediction during drilling were made. To use ANN and optimize drilling parameters, new correlations need to be developed. In addition, a statistical model was developed based on borehole offset data obtained using MLR. The best MSE values were chosen using both techniques.

Sistemele solare fotovoltaice (PV) joacă un rol important în generarea de energie regenerabilă prin transformarea directă a iradianței solare în energie electrică utilizabilă. Pentru a maximiza eficiența acestor sisteme, este esențială operarea panourilor solare la punctul lor de putere maximă (MPP), combinația de tensiune și curent unde panoul solar generează cea mai mare putere. În […]

In lucrarea de față autorii prezinta o metoda practica aplicată în șantier de firma Dosco Petroservices, prin care unele sonde vechi ieșite din producție, pot fi captate așa încat să fie abandonate definitiv,corect, prin executarea operațiunilor de abandonare impuse de legislația în vigoare, cu o instalatie dedicata.Mai mult decât atât,prin metoda aplicată, afluxul eventual de […]

Lucrarea abordează poate una dintre cele mai de actualitate teme de discuție în sectorul energie, și anume impactul instalării de capacități regenerabile asupra structurii mixului energetic pe orizont 2030 și asupra prețului energiei, în conformitate cu direcțiile strategice asumate de Romania. Studiul de caz prezentat reunește trei centrale electrice distincte (acumulare prin pompaj, eoliană și […]

: Tehnologiile de ardere a deşeurilor s-au dezvoltat de la instalaÅ£iile simple de eliminare a deşeurilor la instalaÅ£ii de obÅ£inere a energiei din deşeuri, cu introducerea de noi tehnologii de control al emisiilor. Cantitatea totală de deșeuri din România este de cca 6,5-7 milioane t/an, și se consideră că este fezabil ca aproximativ 50% din […]