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Building 3D Lithofacies and Depositional Models Using Sequential Indicator Simulation (SISIM) Method: A Case History in Western Niger Delta

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A Correction to this article was published on 20 April 2018

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Abstract

Sequential indicator simulation algorithm is one of the popular stochastic simulation algorithms for reservoir geomodelling. It has been used to model delineated lithofacies and depofacies units within the OPO field, western Niger Delta. This simulation algorithm was chosen because of its ability to honour the well logs as local conditioning data using the global histogram, areal and vertical geological trends of the data, as well as the patterns of correlation. Three lithofacies were identified and modelled, namely sand, shaly sand and shale units. Vertical succession of the depositional facies within the field reveals five major facies which are basal shelf shale facies, heterolithic (sand–shale) facies, lower shoreface sand facies, upper shoreface sand facies and shoreface channel systems. The general environment of deposition is interpreted to be shoreline–shelf systems where the shoreface channel units, upper shoreface sand, lower shaly sand and heterolithic units constitute the parallic reservoir sequences, while the shale units within the shoreface and coastal environments act as potential source rocks and caprocks for hydrocarbon accumulation.

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Change history

  • 20 April 2018

    The original version of this article unfortunately contained mistakes.

  • 20 April 2018

    The original version of this article unfortunately contained mistakes.

  • 20 April 2018

    The original version of this article unfortunately contained mistakes.

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Correspondence to Kehinde David Oyeyemi.

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The original version of this article was revised: The authors’ family and given names had been interchanged.

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Oyeyemi, K.D., Olowokere, M.T. & Aizebeokhai, A.P. Building 3D Lithofacies and Depositional Models Using Sequential Indicator Simulation (SISIM) Method: A Case History in Western Niger Delta. Arab J Sci Eng 43, 3775–3792 (2018). https://doi.org/10.1007/s13369-018-3212-4

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