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العنوان
Subsurface Exploration of Significant Radioactive Zones and Determination of Reservoir Characteristics of Paleozoic Rocks in October Oil Field, Gulf of Suez, Egypt
الناشر
Zagazig Uni.
المؤلف
El-Alfy,Ibrahim Mohammad Moustafa
الموضوع
Subsurface Exploration
تاريخ النشر
2005
الفهرس
Only 14 pages are availabe for public view

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Abstract

It is aimed from this study to explorate the significant radioactive zones and evaluate the reservoir characteristics of October oil field, Gulf of Suez, Egypt. The available data include spectrometric profile data of the Paleozoic Succession in Um Bogma area, west central Sinai, the well logging data of eight wells and core data of two wells.
There are about 200 spectrometric reading data taken from seven Formations of the Paleozoic in the study area, this spectrometric data were analyzed. The Um Bogma Formation has high spectrometric values in the Paleozoic succession. The spectrometry log play an important role in the well logging geophysical exploration because it differentiate between the radioactive elements and shale content which affected directly the porosity values and oil accumulation.
Petrophysical studies on the reservoir rocks play an important role in the discovery, evaluation and distribution of the productive zones. The petrophysical properties of rock depend mainly on depositional environment, mineralogy, geology and pore space framework.
Digitizing and gathering well log data and applying environmental corrections are critical to get good log analysis. Multiwell normalization is necessary to ensure that the results are accurate and consistent and comparative from well to well. This process of normalization uses histograms. Interpretations of well logs for estimating the clay volume, porosity, net pay thickness, water saturation, hydrocarbon saturation and volume oil in place.
From the statistical analysis of the horizontal permeability and vertical permeability in the cores, it is concluded that the Paleozoic Nubia Formations are good reservoir. Estimation of permeability from well logs is extended by using the relation between porosity and core permeability, by applying the optimal correlation and utilizing neural network model.
Integrating the available data from well logs and subsurface core samples