Static Reservoir Modeling of Petrophysical properties; A case study one of the offshore oil field in the south of Iran
عنوان دوره: نوزدهمین کنفرانس ژئوفیزیک ایران
کد مقاله : 1624-NIGS
نویسندگان
1موسسه ژئوفیزیک دانشگاه تهران. شهر تهران کشور ایران
2گروه آموزشی فیزیک زمین، موسسه ژئوفیزیک دانشگاه تهران
چکیده
Static reservoir modeling plays an essential role in evaluating reservoir reserves and the estimation production capability of petroleum reservoirs. The static reservoir modeling is investigating to estimate reservoir properties of the Sarvak Formation in one of the offshore oil fields of the Persian Gulf. The structural reservoir model includes fault modeling, geocellular networks, and seismic horizons. The 3D geocellular network consists of pillars and 50 * 50-meter dimension cells in the X and Y directions and one-meter thickness in the reservoir zone. In this paper, we used the distribution of petrophysical properties of Sarvak Formation in one of the southern oilfields of Iran is investigated using geostatistical analysis. Finally, the permeability, porosity, shale volume and water saturation distribution models have been developed using statistical methods Sequential Gaussian Simulation (SGS). The results show that the generate SGS model presents with acceptable accuracy the permeability distribution of the studied reservoir.
کلیدواژه ها
Title
Static Reservoir Modeling of Petrophysical properties; A case study one of the offshore oil field in the south of Iran
Authors
MEHRAN RAHIMI, Mohammad Ali Riahi
Abstract
Static reservoir modeling plays an essential role in evaluating reservoir reserves and the estimation production capability of petroleum reservoirs. The static reservoir modeling is investigating to estimate reservoir properties of the Sarvak Formation in one of the offshore oil fields of the Persian Gulf. The structural reservoir model includes fault modeling, geocellular networks, and seismic horizons. The 3D geocellular network consists of pillars and 50 * 50-meter dimension cells in the X and Y directions and one-meter thickness in the reservoir zone. In this paper, we used the distribution of petrophysical properties of Sarvak Formation in one of the southern oilfields of Iran is investigated using geostatistical analysis. Finally, the permeability, porosity, shale volume and water saturation distribution models have been developed using statistical methods Sequential Gaussian Simulation (SGS). The results show that the generate SGS model presents with acceptable accuracy the permeability distribution of the studied reservoir.
Keywords
Static reservoir modelling, Geocellular, SGS, Kriging