Integration of conventional logs and formation micro imager for evaluation of the thinly bedded intervals in Bahariya Formation, Yomna field, Abu Al-Gharadiq Basin, Western Desert, Egypt

Document Type : Original Article

Authors

1 Qarun Petroleum Company, 6th of October, Giza, Egypt.

2 Menufia University, Geology Department, Menufia government, Egypt.

Abstract

Some reservoirs exhibit low electrical resistance and high estimated water saturation, despite it can produce hydrocarbon, associated with low water cut. These types of reservoirs are considered as unconventional reservoirs and well known as low resistivity pays (LRP). The identification and evaluation of such kind of unconventional reservoirs are very challenging and important for some oil and gas reservoirs. Low resistivity contrast between the low resistivity hydrocarbon - bearing zones, adjacent to the water zones and shaly zones could mislead the hydrocarbon evaluation and leads to bypassing of a considerable volume of resources. Evaluation of the laminated sand-shale sequence is controlled by some factors, such as; the lithology, mineral composition, compaction, thickness and resistivity. The thin beds may have a low resistivity value due to the effect of presence within conductive thick shale bodies. The present study imposes an advanced interpretation technique for more accurate identification of the thin beds intervals, which are usually bypassed in the case of using conventional log tools.  For better evaluation of the thinly bedded laminated sections and in order to maximize the hydrocarbon potentiality. By application of both the traditional log tools and resistivity images logs as well as Thomas – Stieber Method on the Bahariya Formation in Yomna Field; it was found that the porosity, hydrocarbon saturation and net pay thickness for all the Bahariya reservoirs were enhanced with a different percent, based on the laminated and thin beds interval for each well. It is highly recommended to adjust the current study in next the wells with nuclear spectroscopy and NMR logs for calibration of clay volume, porosity and estimation of volumes of conductive Intervals.

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