KELANI O. BELLO

The oil and gas industry in the Niger Delta faces a significant challenge with heterogeneous datasets fragmented across multiple platforms and stored in diverse file formats, a situation that impedes efficient research and operational optimization. To address this problem, this study develops a Unified Field Model (UFM) designed to aggregate, harmonize, and standardize these varied petroleum engineering datasets, including well logs, seismic data, and production logs, using scalable cloud storage and data processing pipelines. The core of the research involves creating a durable and adaptable data structure capable of handling both structured and unstructured data while preserving relational attributes. This process is supported by rigorous data quality assurance techniques, such as feature engineering, anomaly detection, and petroleum engineering domain-specific imputation strategies. This UFM then serves as the foundation for a web-based data brokerage platform, known as Petroleum Engineering Research Datasets (PERD), which enables researchers and industry operators in the Niger Delta to efficiently access high-quality petroleum datasets. This study provides a foundational improvement for the sector, enhancing operational efficiency, improving data interoperability, and allowing for the better use of computational tools to tackle complex Petroleum engineering challenges, thereby improving study reproducibility and performance in the region.

Wax deposition remains a major flow assurance challenge in crude oil pipeline systems and is particularly severe in regions such as the Niger Delta where waxy crude oils and fluctuating operating conditions promote rapid cooling and crystallisation of paraffinic hydrocarbons. This study provides an assessment of wax deposition prevention and mitigation technologies through a systematic review of peer-reviewed literature published from 2022 to date. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis framework was adopted to identify, screen and analyse relevant publications. The review examines chemical, thermal and mechanical approaches with emphasis on their mechanisms, effectiveness, limitations and suitability for wax-prone crude oils. Across the collected studies, chemical methods emerged as the most extensively researched and adaptable strategy for prevention. Polymeric pour point depressants, crystal modifiers, solvent blends and plant-based inhibitors demonstrated strong capabilities in reducing Wax Appearance Temperature, altering crystal morphology and improving crude oil flowability. Several authors reported that natural inhibitors derived from jatropha oil, palm kernel oil, palm oil and other agricultural sources produced inhibition efficiencies comparable to synthetic formulations while offering environmental and economic advantages. Nanoparticle enhanced additives also showed improved thermal stability and dispersive behaviour. Thermal methods such as insulation, active heating and temperature maintenance remained effective for keeping crude oil above its crystallisation point although their energy requirements limit continuous use. Mechanical techniques such as pigging continue to dominate remedial operations whenever deposition has already occurred despite operational challenges such as pig sticking and unpredictable wax breaking forces. The findings show that no single method provides a universal solution. Effective management requires combining preventive strategies with periodic remediation while accounting for the crude oil composition, operating conditions and pipeline characteristics. The review highlights the growing potential of plant based additives, nano enhanced inhibitors as environmentally responsible and economically viable alternatives. The study therefore contributes to improving flow assurance practices and supports the development of sustainable wax management strategies within the Niger Delta and other regions producing waxy crude oils.