GAS

COMPARATIVE STUDY OF GAS DEHYDRATION TECHNIQUES

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Abstract
Natural gas, which can be found in conventional natural gas reservoirs as non-associated gas (NAG), associated gas (AG), or gas condensation products, is a combustible gaseous combination of gaseous hydrocarbons, very light liquid hydrocarbons, free water, water vapor, and other undesirable non- hydrocarbon gaseous and solid components. Water or water vapor is eliminated rom the streams of natural gas through the process of natural gas dehydration. Production, handling, and transportation of natural gas are hampered by the presence of water that is free in the gas. Therefore, it is imperative to eliminate a large portion moisture as feasible from the gas stream. While there are a number of ways to dehydrate natural gas, the following are the most idely used ones:
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A UNIFIED FIELD MODEL (UFM) FOR INTEGRATING SILOED DATASETS IN THE NIGER DELTA OIL AND GAS INDUSTRY: A DATA PROCESSING PIPELINE FOR THE PETROLEUM ENGINEERING RESEARCH DATASETS (PERD)

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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.
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