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International Journal of Basic Science and Technology

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Archive | ISSUE: , Volume: Oct-Dec-2021

Controlling the Design Dynamics of Oil and Gas Pipelines for Effective Fluid Flow Using Domain Specific Modelling


Author: Japheth, B. R.; Osaisai, E. F. ;Orukari, M.

published date:2021-Nov-30

FULL TEXT in - | page 169 - 175

Abstract

In the oil and gas industry in Nigeria, there have been constant demands for more cost-effective and efficient tools to productive pipeline design. After a careful examination, it became evident, that, stakeholders in the oil and gas pipeline industry are faced with the problems of model selection, cost effectiveness in routing designs, and project quality controls. These factors so far have hindered economic recovery in the industry. This paper, therefore, is to address these demands by coming up with a software solution with type-systems and semantics under domain specific modelling, that can simplify design and implementation of oil and gas transmission pipeline structures. Addressing these problems will definitely improve oil and gas pipeline performance integrity. The type-systems involve the typical pipeline network operational schemes such as the flow rates, pipeline physical component schedule, length and thickness. These schemes are specified clearly to enable the standardized structuring of the models. The semantics in this fluid control mechanism are essentially about the crude and gas parameters relating to molecular weight of measure, relative density, molar and volumetric basis and calorific values. The software craftsmanship has to take all these factors into the engineering framework so as to build a solution that meets the domain specific modeling requirement for solving the stated problems in the solution

Keywords: Potential design, salient Characteristics, pipeline Systems, conceptual linkages, Pipe a

References

References

Bertoluzza,S. V. Chabannes, C. Prud’homme, and M. Szopos. “Boundary conditions involving pressure for the Stokes problem and applications in computational hemodynamics”. In: Computer Methods in Applied Mechanics and Engineering 322 (2017), pp. 58–80.

Chabannes V., M. Ismail, C. Prud’homme, and M. Denis Jose Schiozer, Antonio Alberto de Souza dos Santos, Susana Margarida de Graca Santos and Joao Carlos von Hohendorff Filho (2019), Model-based Decision Analysis Applied to Petroleum Field Development and Management’, Oil Gas Sci. Technol., Vol. 74, Article 46; https://doi.org/10.2516/ogst/2019019

Carichino L., G. Guidoboni, and M. Szopos. “Energy-based operator splitting approach for the time discretization of coupled systems of partial and ordinary differential equations for fluid flows: the Stokes case”. In: 7th International Conference on Computational Methods for Coupled Problems in Science and Engineering, Rhodes, Greece (2017), full paper in revision (2017).

Chabannes,V. C. Prud’homme, M. Szopos, and R. Tarabay. “High order finite element simulations for fluid dynamics validated by experimental data from the FDA benchmark nozzle model”. In: 5th International Conference on Computational and Mathematical Biomedical Engineering (CMBE 2017) Proceedings. 2017, pp. 1150–1153.

DSMForum.org. 2018. http://dsmforum.org/cases.html

Hussain, A.; Vega, J.C.; Hassane, M.A.S.; Yusaf, S.A.; Abdul-Halim, A.A. Enhancing Smart Completion Capabilities by Integration with Digital Oil Field Real Time Monitoring System in a Green Field of ADMA-OPCO. In Proceedings of the Abu Dhabi International Petroleum Exhibition & Conference, Abu Dhabi, UAE, 7–10 November 2016.

Haupt, M. “Data is the New Oil”—A Ludicrous Proposition. Available online: https://medium.com/project-2030/data-is-the-new-oil-a-ludicrous-proposition-1d91bba4f294 (accessed on 7 July 2020).

Japheth, Bunakiye R and Ogude U. Cyril; (2019), A Domain Specific Modeling Language Semantic Model for Artefact Orientation: International Journal of Cognitive and Language Sciences Vol: 13, No: 2, 2019, Open Science Index, waset.org/abstracts/99162.

Japheth Bunakiye Richard, Asagba Oghenekaro Prince. Oil and Gas Pipeline Design Management System: A Case Study for Domain-Specific Modeling. American Journal of Software Engineering and Applications.Vol.4, No. 5, 2015, pp. 92-98. doi: 10.11648/j.ajsea.20150405.13.

Japheth, Bunakiye R. and Acheme I. David (2017), ‘Defining a DSL for Transmission Pipeline Systems Meta-Modeling’, Future Technologies Conference (FTC), 2017, Vancouver, Canada

Kirch, A., Razmara, N., Mamani, V.F.S. et al.  (2020), Multiscale Molecular Modeling Applied to the Upstream Oil & Gas Industry Challenges. Polytechnica (2020). https://doi.org/10.1007/s41050-019-00019-wMetaCase. 2017. MetaEdit+ 5.5 User’s Guide. http://www.metacase.com/support/ 55/manuals/

Korea Institute of Geoscience and Mineral Resources. Smart Evaluation Solution for Oil and Gas Field Based on Integration of Static and Dynamic Data; KIGAM: Daejeon, Korea, 2019.

Meziou, Amine , Khan, Zurwa , Wassar, Taoufik , Franchek, Matthew A., Tafreshi, Reza , and Karolos Grigoriadis. "Dynamic Modeling of Two-Phase Gas/Liquid Flow in Pipelines." SPE J. 24 (2019): 2239–2263. doi: https://doi.org/10.2118/194213-PA.

Marcela Szopos. Mathematical modeling, analysis and simulations for fluid mechanics and their relevance to in silico medicine. Analysis of PDEs [math.AP]. Université de Strasbourg, IRMA UMR 7501, 2017. fftel-01646867f

Tolvanen Juha-Pekka and Steven Kelly. 2018. Effort Used to Create DomainSpecific Modeling Languages. In ACM/IEEE 21th International Conference on Model Driven Engineering Languages and Systems (MODELS ’18), October 14–19, 2018, Copenhagen, Denmark. ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/3239372.3239410.

Qin, H.; Han, Z. Stochastic Resource Allocation for Well Control With Digital Oil Field Infrastructure. IEEE Syst. J. 2016, 12, 1295–1306. [CrossRef]

Szopos. “Hemodynamic simulations in the cerebral venous network: A study on the influence of different modeling assumptions”. In: Journal of Coupled Systems and Multiscale Dynamics 3.1 (2015), pp. 23–37.

Ulrich Frank ICB-Research Report No. 42 December 2010 Outline of a Method for Designing Domain-Specific Modelling Languages https://www.econstor.eu/obitstream/10419/58163/1/716089785.pdf

Yakovlev, V.V., Kalugin, Y.I., Kalugin, A.Y. et al.  (2019)., Mathematical modelling of enhanced gas production. J Petrol Explor Prod Technol 9, 561–571 (2019). https://doi.org/10.1007/s13202-018-0495-7

Wendy, F. (2016, June 14). An introduction to oil and gas pipelines. https://www.fractracker.org/2016/06/introduction-oil-gas-pipelines/

 

 

 

 

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