الفهرس 
Title : characterization of A Naturally Fractured Reservoir and Secondary Porosity Analysis Using Image Logs in Southwest Qarun Field, Western Desert, Egypt
SummaryOnly 14 pages are availabe for public view
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Abstract
Petroleum reservoirs have fractures that are either naturally or artificially induced. The
interaction of earth compaction forms natural fractures; however, artificial fractures are
caused by the drilling process, or the redistribution of earth stresses caused by injection
and production practices. Natural fractures are critical pathways for oil production and
hydrocarbon migration in most reservoirs. They can, however, serve as channels for
water breakthrough or gas coning. Carbonate reservoirs have many minor features such
as bedding, fractures, and vugs that cannot be seen or identified on low-resolution seismic
2D and 3D techniques. Image logs were processed and interpreted, given petrophysical
and geological data, to assess the characteristics of Abu Roash-D (A.R.D )reservoir.
In this research, the imaging tool “the Formation Micro-Imager (FMI)” proposes
different solutions in geology, petrophysics, and reservoir engineering. The image
quality during image processing is a function of several parameters such as the tool’s
relative acceleration with the drill pipes, the cable speed, or the tool’s sticking. Image
logs are equalized and normalized to improve the information contained inside them, and
the type and shape of characteristics were utilized to analyze and categorize fractures.
The dip-azimuth and strike of all picked features, including open natural fractures,
drilling-induced fractures, and breakouts, are computed to determine the direction of
maximum horizontal stress (SHmax) and lowest horizontal stress (SHmin) that controls
hydraulic fracture orientation. Several fracture properties were obtained in this study,
including occurrence, orientation, spacing, and porosity using FMI. The borehole
image also provided information on the type of borehole failures. FMI identified the
damage type in the wellbore to show if the well is drilled underbalanced or
overbalanced. The study’s findings are critical for better reservoir development and
provide the necessary dataset for any engineering activity and well interventions.