Author/Authors :
Mollajan، A نويسنده School of Mining Engineering, University College of Engineering, University of Tehran, Tehran, Iran Mollajan, A , Memarian، H نويسنده School of Mining Engineering, University College of Engineering, University of Tehran, Tehran, Iran Memarian, H , Tokhmechi، B نويسنده School of Mining, Petroleum & Geophysics Engineering, University of Shahrood, Shahrood, Iran Tokhmechi, B
Abstract :
تعييي هزس توبس آه فًت بزاي ارسيببي بّي پتز فٍيشيكي هحبسببت حجوي هخشي ضز رٍي است. ايي هقبل ابشار تصوينگيز بيش را ب ع اٌَي تك يٌكي خبرز برزاي -
ض بٌسبيي هزس توبس آه فًت بب استفبد اس داد بُّي چب وًُ دَار هعزفي هيك ذٌ. ر شٍ پيط بٌْدي بز ر يٍ داد بُّي هزب طَ ب س چرب اس هيرذا يً در ج رٌ هَ رزه -
كط رَ پيبد سبسي ضذ است. كبرايي ر شٍ پيط بٌْدي بب استفبد اس گشارش بّي آسهبيص چب يًش هقبيس بب ر شٍ س تٌي تخويي تزا اٍيي ه رَد ارسيببي قرزار گزفتر است. تًبيج حبكي اس آي است ك ايي ر شٍ دقيق تز اس ر شٍ س تٌي ج اَه داد دقت آي ب ط رَ هت سَط تب 5 درصذ ببلاتز است. علا بز ايي، ر شٍ اراي ضذ قربدر
است تغييزات درج اضببع آه را هذلسبسي كزد عًَ سيبل هخش يً را تطخيص د ذّ.
Abstract :
Defining Oil-Water Contact (OWC) is essential for detail petrophysical evaluations and reservoir volumetric calculations. This paper presents Bayesian decision making tool as a sophisticated technique in OWC detecting from well log data. The proposed method is applied to data related to three wells of an oil field of the Southwestern Iran. The method’s performance is evaluated based on well testing reports and also through comparisons with the results of conventional approach based on permeability prediction. Results indicate that the proposed method is more accurate than conventional approach and may improve the results about 5% on average. In addition, using this method, any variation of water saturation (Sw) log and reservoir fluid types may be detectable.
