DETERMINING HYDRAULIC FLOW UNITS USING A HYBRID NEURAL NETWORK AND MULTI-RESOLUTION GRAPH-BASED CLUSTERING METHOD: CASE STUDY FROM SOUTH PARS GASFIELD, IRAN

2015 ◽  
Vol 38 (2) ◽  
pp. 177-191 ◽  
Author(s):  
M. Nouri-Taleghani ◽  
A. Kadkhodaie-llkhchi ◽  
M. Karimi-Khaledi
2018 ◽  
Vol 27 (2) ◽  
pp. 145-157 ◽  
Author(s):  
Mohamad Iravani ◽  
Mahdi Rastegarnia ◽  
Dariush Javani ◽  
Ali Sanati ◽  
Seyed Hasan Hajiabadi

2021 ◽  
Vol 62 (3) ◽  
pp. 29-36
Author(s):  

Permeability and porosity are essential parameters for estimating hydrocarbon production from reservoir rocks. They are combined in an additional factor, the Flow Zone Index (FZI), which is the basis for defining the hydraulic flow unit (HFU). Each HFU is a homogeneous section of a reservoir rock with stable parameters that allow for media flow. Hydraulic flow units are determined from the porosity and permeability of core or well logs. The simple statistical methods are applied for HFU classification and then improve permeability prediction. This paper also shows how to quickly apply the global hydraulic elements (GHE) method for HFU classification. The methodology is tested on the Miocene formation of a deltaic facies from the Carpathian Foredeep in South-Eastern Poland.


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