Recent Publications
Oil Field Waste Treatment and Its Cost Assessment
Oil field wastewater—commonly referred to as produced water—is the largest waste stream associated with petroleum production, characterized by high concentrations of hydrocarbons, heavy metals, dissolved salts, and chemical additives. Its complex and variable composition poses significant environmental and regulatory challenges, particularly in sensitive ecosystems like Nigeria’s Niger Delta. This study conducts a comprehensive technical and …
A Feasibility Study on Power Generation and Transport Sector Transition
Sri Lanka is almost fully electrified now, but we still lean hard on imported fossil fuels to keep the lights on. That’s risky, it leaves us open to price swings, blackouts, and environmental fallouts. And with energy demand climbing by nearly 5% every year, switching to renewables isn’t just smart, it’s urgent. This study focuses …
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A structural description of selected MOFs and an overview of their capacity to store carbon dioxide – A review study
Carbon dioxide capture, transportation and storage is still being prioritised in studies because of the increasing concentration of Carbon dioxide in the atmosphere. One of interest field to authors is adsorbent for high Carbon dioxide storage. Metal-organic frameworks (MOFs) are widely studies due to their porous crystalline structures, high surface areas, and versatility in gas …
Development of Legume-Based Snack Bar and its Nutritional, Sensory, Texture, and Microbial Properties
This study focused on the formulation and evaluation of protein-rich snack bars developed using Green gram (Vigna radiata), Chickpea (Cicer arietinum), and Black-eyed pea (Vigna unguiculata) in four different ratios (A: 1:1:1, B: 2:1:1, C: 1:2:1, D: 1:1:2). Sensory evaluation revealed that formulation B (2:1:1) achieved the highest scores across most attributes, including appearance, aroma, …
A Review of Learning-Based Sonar Signal Processing Using Neural Networks
Sonar systems are widely used for underwater sensing applications such as navigation, target detection, and environmental monitoring. However, conventional sonar signal processing techniques often rely on handcrafted features and model-based assumptions, which can limit performance in complex and noisy underwater environments. In recent years, learning-based approaches, particularly those using neural networks, have gained increasing attention …
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