Arabian Journal for Science and Engineering

, Volume 43, Issue 7, pp 3775–3792 | Cite as

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

  • Kehinde David OyeyemiEmail author
  • Mary Taiwo Olowokere
  • Ahzegbobor Philips Aizebeokhai
Research Article - Earth Sciences


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.


Geostatistical modelling Facies modelling EOD Reservoir characterization Niger Delta 


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Copyright information

© King Fahd University of Petroleum & Minerals 2018
corrected publication April 2018

Authors and Affiliations

  • Kehinde David Oyeyemi
    • 1
    Email author
  • Mary Taiwo Olowokere
    • 2
  • Ahzegbobor Philips Aizebeokhai
    • 1
  1. 1.Applied Geophysics Unit, College of Science and TechnologyCovenant UniversityOtaNigeria
  2. 2.Department of GeologyObafemi Awolowo UniversityIle-IfeNigeria

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