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Journal Majelis Paspama
Published by Paspama Institute
ISSN : -     EISSN : 29871379     DOI : https://doi.org/10.58471
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Industrial & Manufacturing Engineering Mechanical Engineering
Journal Majelis Paspama The following journals that receive a multidisciplinary research focus with a Scope of Engineering accept submissions of scientific articles for research in the form of research results, surveys, and literature in the fields of engineering, including: Informatics Engineering, Electrical engineering, Civil engineering, Architecture, Chemical engineering, Industrial engineering, Mechanical engineerin
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 53 Documents
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Low-Cost Empirical Methods for Predicting Water Content in Natural Gas System Nnadikwe Johnson; Samuel Kwelle; Okpala Blessing Chiamaka; Amaefula Chibunma Vivan; Momoh Abdulazeez Adeyemi; Ezechukwu Chioma Mary-Jane
Journal Majelis Paspama Vol. 4 No. 02 (2026): Journal Majelis Paspama, 2026
Publisher : Journal Majelis Paspama

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Abstract

Accurate estimation of water content in natural gas is essential to prevent hydrate formation, internal corrosion, and to meet pipeline sales gas specifications. Direct measurement is often costly and not feasible for marginal fields, while rigorous thermodynamic models require licensed software and detailed composition. This study evaluates six low-cost empirical correlations for predicting water content in natural gas systems: McKetta-Wehe, Bukacek, Bahadori, Campbell, Towler-Mokhatab, and Katz models. The models, implemented in Microsoft Excel, were benchmarked against Aspen HYS V12.1 Peng-Robinson EOS predictions and published experimental data over pressure ranges of 200-3000 psia and temperature ranges of 60-160°F. Performance was assessed using Average Absolute Relative Deviation, Maximum Absolute Error, and R². Results show that the Bukacek correlation gave the best overall accuracy with AARD of 2.1%, followed by Towler-Mokhatab with 2.3% AARD, especially for sour gas containing CO2 and H2S. Bahadori’s model, though simplest, had the highest deviation of 5.6%. The study concludes that low-cost empirical correlations can provide sufficient accuracy for field design and operational decisions without dependence on expensive instrumentation or proprietary software. Recommendations are made on the appropriate selection of models based on pressure, temperature, and gas composition.
Fractional Distillation in Natural Gas Liquid (NGL) Fractionation Nnadikwe Johnson; Ezechukwu Chioma Mary-Jane; Samuel Kwelle; Okpala Blessing Chiamaka; Amaefula Chibunma Vivan; Momoh Abdulazeez Adeyemi
Journal Majelis Paspama Vol. 4 No. 02 (2026): Journal Majelis Paspama, 2026
Publisher : Journal Majelis Paspama

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Abstract

Natural Gas Liquid fractionation is an energy-intensive process critical for producing high-purity ethane, propane, butane, and natural gasoline. Conventional 4-column fractionation trains operate with high reboiler and condenser duties, leading to increased operating costs and carbon emissions. This study presents the simulation, optimization, and energy analysis of a heat-integrated NGL fractionation process using Aspen HYS with Peng-Robinson equation of state. A base-case design was developed and validated against published plant data. Inter-column heat integration was implemented by using overhead vapor from the de-ethanizer to partially reboil the de-propanizer. Sensitivity analysis was conducted on reflux ratio, feed composition, and operating pressure to determine optimal operating conditions. Equipment sizing was performed using standard correlations from GPSA and Perry’s Handbook. of quantify heat recovery potential, a novel metric termed Thermal Coupling Index was introduced. Results show that the optimized design achieved 98.9% total NGL recovery with all products meeting GPA 2140 specifications. Total reboiler duty was reduced by 8.5%, and specific energy consumption decreased to 4.99 MM Btu/GPM, which is 11% lower than industry benchmarks. A TCI greater than 20% correlated with more than 6.8% energy savings, making it suitable for utility-limited and marginal field application.
Enhanced Gas Recovery Utilizing Geothermal Co-Production Plus Supercritical CO2 Nnadikwe Johnson; Erazele .R.Aisaboluokpia Agazuma; Okpala Blessing Chiamaka; Amaefula Chibunma Vivan; Momoh Abdulazeez Adeyem; Uwazie Modestus C
Journal Majelis Paspama Vol. 4 No. 02 (2026): Journal Majelis Paspama, 2026
Publisher : Journal Majelis Paspama

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Abstract

The depletion of conventional gas reservoirs in the Niger Delta has led t  recovery factors below 55% and significant volumes of stranded gas. At the same time, deep high-temperature reservoirs present an opportunity for geothermal energy development. This study investigates the technical feasibility of integrating Enhanced Gas Recovery using supercritical CO₂, scCO₂-EGR, with geothermal co-production to simultaneously improve gas recovery, generate renewable power, and store CO₂. Numerical reservoir simulations were conducted using Schlumberger ECLIPSE 300 coupled with Aspen HYS V12.1 for a synthetic model of the Obiafu-Obrikom field at 3200 m depth and 142°C. Four scenarios were evaluated over 20 years: natural depletion, CO₂-EGR only, geothermal only, and combined CO₂-EGR + geothermal. Performance was assessed using Enhanced Gas Recovery Factor, CO₂ Storage Efficiency, and Net Power Output. Results show that CO₂-EGR increased cumulative gas production by 18.4% compared to base case. The combined CO₂-EGR and geothermal system achieved the highest recovery of 20.1%, equivalent to an additional 10.1 BSCF for the field case. The system also generated 3.18 MW of net power from a transcritical CO₂ Brayton cycle and stored 8.75 Mt of CO₂ with 87.5% efficiency. A trade-off of 7.8% reduction in power was observed in the combined case due to CO₂ retention for storage.

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