ISSN 1119-4618
 

Original Research 


Data-Driven Based Pressure Field Decomposition and Reconstruction for Single-Phase Flow Model

Aliyuda Ali, Kachalla Aliyuda, Muhammed Kabir Ahmed, Samuel Saleh.

Abstract
Learning pressure flow dynamic is of primary importance towards reliable predictive modelling for hydrocarbon reservoirs. For instance, in gas condensate systems, productivity impairment due to reservoir pressure drop causes condensation buildup around the wellbore. In this study, we present a data-driven based approach to a gas reservoir high-dimensional pressure field to achieve a low-dimensional representation that enables the visualization of spatiotemporal modes of the pressure field. Our proposed approach uses a Dynamic Mode Decomposition (DMD) approach, applied to pressure field data of a gas reservoir single-phase flow model. We demonstrated that the method is capable of decomposing the reservoir pressure field into spatiotemporal modes, and reconstructing the original pressure field from the decomposed modes with a minimal Root Mean Squared Error of 0.0622. The proposed method also allows for the approximation of the reservoir average pressure drop over time. Comparison of results was made between the proposed approach (DMD) and one of the widely used dimensionality reduction techniques namely the Principal Component Analysis (PCA). Our proposed approach outperformed PCA in both pressure field reconstruction and average pressure drop. Since pressure drop has a significant effect on well productivity, the proposed approach can be used as a fast and accurate tool for prediction and estimation of reserves for natural gas reservoirs.

Key words: Data-driven modelling, Dynamic mode decomposition, Natural gas reservoirs, Reduced order modelling.


 
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How to Cite this Article
Pubmed Style

Ali A, Aliyuda K, Ahmed MK, Saleh S, . Data-Driven Based Pressure Field Decomposition and Reconstruction for Single-Phase Flow Model. JPAS. 2021; 21(2): 357-364. doi:10.5455/sf.81326


Web Style

Ali A, Aliyuda K, Ahmed MK, Saleh S, . Data-Driven Based Pressure Field Decomposition and Reconstruction for Single-Phase Flow Model. http://www.atbuscienceforum.com/?mno=81326 [Access: August 12, 2021]. doi:10.5455/sf.81326


AMA (American Medical Association) Style

Ali A, Aliyuda K, Ahmed MK, Saleh S, . Data-Driven Based Pressure Field Decomposition and Reconstruction for Single-Phase Flow Model. JPAS. 2021; 21(2): 357-364. doi:10.5455/sf.81326



Vancouver/ICMJE Style

Ali A, Aliyuda K, Ahmed MK, Saleh S, . Data-Driven Based Pressure Field Decomposition and Reconstruction for Single-Phase Flow Model. JPAS. (2021), [cited August 12, 2021]; 21(2): 357-364. doi:10.5455/sf.81326



Harvard Style

Ali, A., Aliyuda, K., Ahmed, M. K., Saleh, S. & (2021) Data-Driven Based Pressure Field Decomposition and Reconstruction for Single-Phase Flow Model. JPAS, 21 (2), 357-364. doi:10.5455/sf.81326



Turabian Style

Ali, Aliyuda, Kachalla Aliyuda, Muhammed Kabir Ahmed, Samuel Saleh, and . 2021. Data-Driven Based Pressure Field Decomposition and Reconstruction for Single-Phase Flow Model. Science Forum (Journal of Pure and Applied Sciences), 21 (2), 357-364. doi:10.5455/sf.81326



Chicago Style

Ali, Aliyuda, Kachalla Aliyuda, Muhammed Kabir Ahmed, Samuel Saleh, and . "Data-Driven Based Pressure Field Decomposition and Reconstruction for Single-Phase Flow Model." Science Forum (Journal of Pure and Applied Sciences) 21 (2021), 357-364. doi:10.5455/sf.81326



MLA (The Modern Language Association) Style

Ali, Aliyuda, Kachalla Aliyuda, Muhammed Kabir Ahmed, Samuel Saleh, and . "Data-Driven Based Pressure Field Decomposition and Reconstruction for Single-Phase Flow Model." Science Forum (Journal of Pure and Applied Sciences) 21.2 (2021), 357-364. Print. doi:10.5455/sf.81326



APA (American Psychological Association) Style

Ali, A., Aliyuda, K., Ahmed, M. K., Saleh, S. & (2021) Data-Driven Based Pressure Field Decomposition and Reconstruction for Single-Phase Flow Model. Science Forum (Journal of Pure and Applied Sciences), 21 (2), 357-364. doi:10.5455/sf.81326