نویسندگان
1 استادیار گروه زمین شناسی، دانشگاه آزاد اسلامی واحد دماوند، تهران، ایران
2 دانشجوی دکتری مهندسی اکتشاف نفت، دانشگاه تهران – پتروفیزیست ارشد، شرکت ملی حفاری ایران
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
The presence of open fractures in reservoir rock significantly influences its permeability. A direct and accurate approach to studying open fractures involves analyzing drilling cores, while image logs enable broader-scale examination. However, drilling cores are limited to specific depths, and image logs are available only for select wells. This study first identifies natural open fractures in the Kangan-Dalan carbonate reservoir of well A using the FMI log. The open fractures exhibit an average dip of 63° with an azimuth of N75E and a strike direction of N15W/S15E. Subsequently, fracture density log for the reservoir were calculated. Using conventional well logs, including the density log (RHOB), sonic log (DT), and effective porosity log (PHIE), as input data for the Multi-Resolution Graph-based Clustering (MRGC) algorithm, along with a synthetic log derived from the fracture density log, referred to as the F-index (ranging from 0 to 1), the clustering algorithm was applied to delineate fracture facies, which represent zones containing open fractures in well A. The model developed for well A was then applied to wells B and C, which lacked FMI log or core data, to identify fractured zones as fracture facies. The resulting clustering algorithm is transferable across all wells in the field, enabling the modeling of fracture facies in both two-dimensional and three-dimensional spaces.
کلیدواژهها [English]
)