PETROPHYSICAL AND ROCK PHYSICS ANALYSES FOR CHARACTERIZATION OF COMPLEX SANDS IN DEEPWATER NIGER DELTA, NIGERIA
Characterization of complex sand reservoirs in deepwater of Niger Delta was carried out through petrophysical and rock physics evaluation of well log data from three wells. Petrophysical analysis to determine clay volume, porosity, lithologies, and hydrocarbon saturation were made. Rock physics was...
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doaj-2516835e582c45c381acb7fcfc829ae72020-11-25T02:15:30ZengVSB-Technical University of OstravaGeoScience Engineering1802-54202019-06-01652243510.35180/gse-2019-0009PETROPHYSICAL AND ROCK PHYSICS ANALYSES FOR CHARACTERIZATION OF COMPLEX SANDS IN DEEPWATER NIGER DELTA, NIGERIA Sunday OLADELE0Rotimi SALAMI1Olatunde B. ADEYEMI2University of Lagos, Department of Geosciences, Lagos, NigeriaUniversity of Lagos, Department of Geosciences, Lagos, NigeriaUniversity of Lagos, Department of Geosciences, Lagos, NigeriaCharacterization of complex sand reservoirs in deepwater of Niger Delta was carried out through petrophysical and rock physics evaluation of well log data from three wells. Petrophysical analysis to determine clay volume, porosity, lithologies, and hydrocarbon saturation were made. Rock physics was studied in a velocity-porosity plane to analyze the influence of depositional and diagenetic features on the reservoirs. Cross-plots of different elastic parameters, using linear regression and cluster analysis, were generated for lithologic and fluid fill identification and to differentiate between the hydrocarbon bearing sands, brine sands, and shale. Variance attribute was extracted on seismic time slice in order to image the complex sand distribution in the area. Three reservoirs of turbidite origin were identified within the upper fan to lower fan area. Petrophysical results revealed gas bearing reservoir units with less than 20% shale volume and porosity of 25-31%. Lambda-Mu-Rho (LMR) cross-plots for the reservoirs show gas saturated data cloud and trend. Ratio-Difference (R-D) cluster analysis of elastic rock properties shows a distinct trend and data cloud that represents lithofacies units and fluid fills. The study concludes that the reservoirs simulated contact cement and friable models with properties that ranged from highly porous, well sorted and poorly consolidated sand to fairly sorted and highly cemented sands. The results provide a model that increases the possibility of finding reservoir sand while mitigating the risk involved in finding hydrocarbons.http://gse.vsb.cz/ojs/index.php/GSE/article/view/213/177rock physicspetrophysicsdeepwaterreservoirniger deltacross-plot |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sunday OLADELE Rotimi SALAMI Olatunde B. ADEYEMI |
spellingShingle |
Sunday OLADELE Rotimi SALAMI Olatunde B. ADEYEMI PETROPHYSICAL AND ROCK PHYSICS ANALYSES FOR CHARACTERIZATION OF COMPLEX SANDS IN DEEPWATER NIGER DELTA, NIGERIA GeoScience Engineering rock physics petrophysics deepwater reservoir niger delta cross-plot |
author_facet |
Sunday OLADELE Rotimi SALAMI Olatunde B. ADEYEMI |
author_sort |
Sunday OLADELE |
title |
PETROPHYSICAL AND ROCK PHYSICS ANALYSES FOR CHARACTERIZATION OF COMPLEX SANDS IN DEEPWATER NIGER DELTA, NIGERIA |
title_short |
PETROPHYSICAL AND ROCK PHYSICS ANALYSES FOR CHARACTERIZATION OF COMPLEX SANDS IN DEEPWATER NIGER DELTA, NIGERIA |
title_full |
PETROPHYSICAL AND ROCK PHYSICS ANALYSES FOR CHARACTERIZATION OF COMPLEX SANDS IN DEEPWATER NIGER DELTA, NIGERIA |
title_fullStr |
PETROPHYSICAL AND ROCK PHYSICS ANALYSES FOR CHARACTERIZATION OF COMPLEX SANDS IN DEEPWATER NIGER DELTA, NIGERIA |
title_full_unstemmed |
PETROPHYSICAL AND ROCK PHYSICS ANALYSES FOR CHARACTERIZATION OF COMPLEX SANDS IN DEEPWATER NIGER DELTA, NIGERIA |
title_sort |
petrophysical and rock physics analyses for characterization of complex sands in deepwater niger delta, nigeria |
publisher |
VSB-Technical University of Ostrava |
series |
GeoScience Engineering |
issn |
1802-5420 |
publishDate |
2019-06-01 |
description |
Characterization of complex sand reservoirs in deepwater of Niger Delta was carried out through petrophysical and rock physics evaluation of well log data from three wells. Petrophysical analysis to determine clay volume, porosity, lithologies, and hydrocarbon saturation were made. Rock physics was studied in a velocity-porosity plane to analyze the influence of depositional and diagenetic features on the reservoirs. Cross-plots of different elastic parameters, using linear regression and cluster analysis, were generated for lithologic and fluid fill identification and to differentiate between the hydrocarbon bearing sands, brine sands, and shale. Variance attribute was extracted on seismic time slice in order to image the complex sand distribution in the area. Three reservoirs of turbidite origin were identified within the upper fan to lower fan area. Petrophysical results revealed gas bearing reservoir units with less than 20% shale volume and porosity of 25-31%. Lambda-Mu-Rho (LMR) cross-plots for the reservoirs show gas saturated data cloud and trend. Ratio-Difference (R-D) cluster analysis of elastic rock properties shows a distinct trend and data cloud that represents lithofacies units and fluid fills. The study concludes that the reservoirs simulated contact cement and friable models with properties that ranged from highly porous, well sorted and poorly consolidated sand to fairly sorted and highly cemented sands. The results provide a model that increases the possibility of finding reservoir sand while mitigating the risk involved in finding hydrocarbons. |
topic |
rock physics petrophysics deepwater reservoir niger delta cross-plot |
url |
http://gse.vsb.cz/ojs/index.php/GSE/article/view/213/177 |
work_keys_str_mv |
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