Ziba Hosseini

[ 1 ] - Rock typing and reservoir zonation based on the NMR logging and geological attributes in the mixed carbonate-siliciclastic Asmari Reservoir

Rock typing is known as the best way in heterogeneous reservoirs characterization. The rock typing methods confine to various aspects of the rocks such as multi-scale and multi-modal pore types and size, rock texture, diagenetic modifications and integration of static/dynamic data. Integration of static and dynamic behavior of rocks and their sedimentary features are practiced in this study. Po...

[ 2 ] - Estimation of groundwater level using a hybrid genetic algorithm-neural network

In this paper, we present an application of evolved neural networks using a real coded genetic algorithm for simulations of monthly groundwater levels in a coastal aquifer located in the Shabestar Plain, Iran. After initializing the model with groundwater elevations observed at a given time, the developed hybrid genetic algorithm-back propagation (GA-BP) should be able to reproduce groundwater ...

[ 3 ] - Estimation of groundwater level using a hybrid genetic algorithm-neural network

In this paper, we present an application of evolved neural networks using a real coded genetic algorithm for simulations of monthly groundwater levels in a coastal aquifer located in the Shabestar Plain, Iran. After initializing the model with groundwater elevations observed at a given time, the developed hybrid genetic algorithm-back propagation (GA-BP) should be able to reproduce groundwater ...

[ 4 ] - بکارگیری مدل ترکیبی GA-BP جهت برآورد مقدار کل کربن آلی (TOC) از داده‌های پتروفیزیکی

مقدار کل کربن آلی (TOC) مهمترین پارامتر جهت ارزیابی پتانسیل هیدروکربنزائی سنگ منشأ میباشد. اندازهگیری TOC، مستلزم انجامِ آزمایشات ژئوشیمیاییِ پرهزینه و وقتگیر است، که روی تعداد محدودی نمونه صورت میگیرد. از این جهت، هدف اصلی این پژوهش برآورد پارامتر ژئوشیمیاییِ TOC از دادههای پتروفیزیکی است که امروزه از تمامی چاههای حفاری تهیه شده و کم هزینهتر میباشند. برای این منظور از سیستم ترکیبیGA-BP ...