الفهرس | Only 14 pages are availabe for public view |
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. |