Version 1
: Received: 21 April 2024 / Approved: 22 April 2024 / Online: 23 April 2024 (11:20:47 CEST)
How to cite:
ANDREW, N.H.; JOHNSON, N.; KWELLE, S...; CHIGOZIE, I. Enhancing Resilience and Reliability in Condensate and Gas Pipeline System: A Dynamic Development Approach. Preprints2024, 2024041472. https://doi.org/10.20944/preprints202404.1472.v1
ANDREW, N.H.; JOHNSON, N.; KWELLE, S...; CHIGOZIE, I. Enhancing Resilience and Reliability in Condensate and Gas Pipeline System: A Dynamic Development Approach. Preprints 2024, 2024041472. https://doi.org/10.20944/preprints202404.1472.v1
ANDREW, N.H.; JOHNSON, N.; KWELLE, S...; CHIGOZIE, I. Enhancing Resilience and Reliability in Condensate and Gas Pipeline System: A Dynamic Development Approach. Preprints2024, 2024041472. https://doi.org/10.20944/preprints202404.1472.v1
APA Style
ANDREW, N.H., JOHNSON, N., KWELLE, S..., & CHIGOZIE, I. (2024). <strong></strong>Enhancing Resilience and Reliability in Condensate and Gas Pipeline System: A Dynamic Development Approach. Preprints. https://doi.org/10.20944/preprints202404.1472.v1
Chicago/Turabian Style
ANDREW, N.H., SAMUEL .H. KWELLE and IHEME CHIGOZIE. 2024 "<strong></strong>Enhancing Resilience and Reliability in Condensate and Gas Pipeline System: A Dynamic Development Approach" Preprints. https://doi.org/10.20944/preprints202404.1472.v1
Abstract
Developing a dependable gas and condensate value chain is vital for the ongoing prosperity of the oil and gas industries. To achieve this, NNPC is enhancing its production facilities by employing process modeling and simulation with the assistance of Symmetry iCON®. As a part of this initiative, a simulation model was created using the Symmetry iCON® pipe plexus solver to simulate the dynamic environment of the gas and condensate pipeline network in the Nigerian Southern region. To validate the model, data from a single month, specifically December 2022, was utilized.Furthermore, the algorithm was utilized to generate projections for the month of January 2023, providing valuable insights into its effectiveness. The study also highlighted the significance of accurately estimating the characteristics and properties of a pseudo component of C6+ in relation to thermodynamics and material properties, which was a particularly insightful finding. he assessment of this property has transitioned from being relatively unimportant to becoming critically important, primarily due to the lack of condensate data monitoring at specific terminals. However, it's worth noting that the model currently has an error margin of 4-6% when predicting the data. As more information becomes available in the future, the model can be easily fine-tuned to better align with the actual conditions, allowing for more accurate predictions.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
