3-D Geostatistical Model and Volumetric Estimation of ‘Del’ Field, Niger DeltaOluwadare OA, Osunrinde OT, Abe SJ* and Ojo BT
Department of Applied Geophysics, Federal University of Technology, Nigeria
- Corresponding Author:
- Abe SJ
Department of Applied Geophysics
Federal University of Technology, Nigeria
E-mail: [email protected]
Received Date: March 28, 2017; Accepted Date: April 24, 2017; Published Date: May 01, 2017
Citation: Oluwadare OA, Osunrinde OT, Abe SJ, Ojo BT (2017) 3-D Geostatistical Model and Volumetric Estimation of ‘Del’ Field, Niger Delta. J Geol Geophys 6:291. doi: 10.4172/2381-8719.1000291
Copyright: © 2017 Oluwadare OA, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
There is an insatiable thirst for oil and gas consumption and increased production will be made possible only through effective reservoir characterization and modeling. A suite of wire-line logs for four wells from ‘DEL’ oil field together with 3D seismic data were analyzed for reservoir characterization of the field. Two reservoirs were identified using the resistivity log. A synthetic seismogram was generated in order to perform seismic to well tie process as well as picking of horizons throughout the section. Time and depth structural maps were generated. Geostatistical simulation such as the sequential Gaussian stimulation and sequential indicator stimulation were carried out to provide equiprobable representations of the reservoirs, and the distribution of reservoir properties within the geological cells. The modeled reservoir properties resulted in an improved description of reservoir distribution and inter connectivity. The analysis indicated the presence of hydrocarbon in the reservoirs. There is also a fault assisted closure on the structural map which is of interest in exploration. A fluid distribution plot and map of the field were also obtained. The modeled properties gave an average porosity of 24%, average water saturation ranging from 12%-24% and moderate net-gross. The volumetric calculation of the reservoir gives a STOIIP ranging from 37.53 MMbbl-43.03 MMbbl. The result showed high hydrocarbon potential and a reservoir system whose performance is considered satisfactory for hydrocarbon production. The resulting models can also be used to predict the future performance of the reservoir.