3 / 7
allied
academies
Page 10
Notes:
Journal of Industrial and Environmental Chemistry | Volume 3
December 02-03, 2019 | Dubai, UAE
Oil & Gas
2
nd
International Conference and Expo on
E
stimating petrophysical parameters from well logs plays
a significant role in exploring and developing oil and
gas reservoirs. This study presents results of log analysis
from four wells in a mature oil field in Sirte basin, Libya. A
complete statistical analysis is proposed to obtain average
petrophysical properties such as porosity, permeability and
hydrocarbon/water saturations at the well location. This
analysis is based on wireline logs data then verified with
experimental core plugs in order to minimize uncertainty.
Based on the characteristics of oilfield lithology, the rock
mainly consists of sand and shale sequences. The computed
results from well logs were generally in good agreement with
the experimental core plugs from the same wells. Computed
petrophysical parameters for the wells gave an average
total porosity ranging from 16% to 26% and permeability
in the range of 20 mD to 3358 mD. Water and hydrocarbon
saturation were found at an average range of 28% to 57%,
and 43% to 72%, respectively. The overall results indicate
that the oil-bearing zones in the studied wells are highly
permeable and porous and the field still has a vast commercial
hydrocarbon potential that can be economically depleted.
Speaker Biography
Mansur Ermila joined the Petroleum Engineering Department in 2012 as a
Research Assistant professor and became a full-time member of the faculty
in 2015. He teaches Drilling engineering, well completion, reservoir fluid
properties, reservoir rock properties, introduction to petroleum industry
and advanced drilling fluid. He earned his B.S. from University of Tripoli in
Petroleum Engineering, and a M.S. in petroleum engineering from University
ofMiskolc(Hungary)andPhD inpetroleumengineeringfromColoradoSchool
of Mines. His research interests include drilling operation, well completion,
stimulation, artificial lift optimization. He is an active member of SPE, AADE,
ARMA and Pi Epsilon Tau.
e:
mermila@mines.eduMansur Ermila
Colorado School of Mines, USA
Utilizing well logs and experimental core data to assess hydrocarbon
potential of a mature oilfield
Mansur Ermila
, J Ind Environ Chem, Volume:3
DOI: 10.35841/2591-7331-C3-013