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Bilinear Extrapolation for Geocellular Reservoir Connectivity and Flow Simulation

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Abstract

Reservoir connectivity is one of the main subsurface uncertainties in the assessment and improvement of many oil and gas fields. The main objective of this paper is to analyze the static and dynamic connectivity of the selected shallow-marine sandstone facies through construction of gridded-based units for flow behavior/patterns. Prior to the generation of the sandstone facies connectivity and flow simulation, outcrop log data are input into the modeling software. The exposer used for the facies connectivity and flow simulation was ranging from 1 to 500 cm. The measurements of permeability values were taken on each of the grid, which were bilinear extrapolated, to populate the surface with permeability variation. Detailed analysis of the sedimentology and interpretation of three major sandstone facies is used as a framework to build the geocellular facies connectivity and flow simulation. The sandstone facies of HCSS shows more uniform and have linear connectivity, fallow by sub-layer gridding. In case of HBCBS, horizontal sweep is more effective as compared to vertical, because of thin mudstone deposited at the base of each layer boundaries which resist to sweep vertically. Whereas TCBS, WFBS, and BS show the distribution of different qualities of sandstones and bioturbation in the grid block model, burrows filled with mud which acts as impermeable pathways within moderate to low-quality sandstone.

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Acknowledgements

The authors gratefully acknowledge Universiti Teknologi PETRONAS and PETRONAS Sdn. Berhad for their financial support and funding for this research activity. However, the technical contents and ideas presented in this paper are solely the author’s interpretations.

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Correspondence to Numair Ahmed Siddiqui .

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Siddiqui, N.A., Rahman, A.H.A., Sum, C.W. (2017). Bilinear Extrapolation for Geocellular Reservoir Connectivity and Flow Simulation. In: Awang, M., Negash, B., Md Akhir, N., Lubis, L., Md. Rafek, A. (eds) ICIPEG 2016. Springer, Singapore. https://doi.org/10.1007/978-981-10-3650-7_36

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  • DOI: https://doi.org/10.1007/978-981-10-3650-7_36

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3649-1

  • Online ISBN: 978-981-10-3650-7

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