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

Oyeyemi , Kehinde D. and Olowokere, Mary Taiwo and Aizebeokhai, A. P. (2018) Building 3D Lithofacies and Depositional Models Using Sequential Indicator Simulation (SISIM) Method: A Case History inWestern Niger Delta. Arabian Journal for Science and Engineering.

PDF Download (344kB)

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.

Item Type:	Article
Uncontrolled Keywords:	Geostatistical modelling · Facies modelling · EOD · Reservoir characterization · Niger Delta
Subjects:	Q Science > Q Science (General) Q Science > QC Physics
Divisions:	Faculty of Engineering, Science and Mathematics > School of Physics
Depositing User:	Mrs Patricia Nwokealisi
Date Deposited:	12 Apr 2018 12:33
Last Modified:	12 Apr 2018 12:33
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/10585

Actions (login required)

View Item