Paper Information

Title: 

DETERMINATION AND ESTIMATION OF HYDRAULIC FLOW UNITS FROM CORE AND WELL LOG DATA BY NEURO-FUZZY APPROACH

Type: PAPER
Author(s): YAR MOHAMMADI SAEID*,RANJBAR KARAMI RASOOL,MESHKAT SEYED ALI
 
 *UNIVERSITY OF TEHRAN, TEHRAN, IRAN
 
Name of Seminar: INTERNATIONAL CONFERENCE OIL, GAS, PETROCHEMICAL AND POWER PLANT
Type of Seminar:  CONFERENCE
Sponsor:  SHERKATE TAVONI AMOZESHI PAZHOHESHI VESTA
Date:  2012Volume 1
 
 
Abstract: 

POROSITY-PERMEABILITY RELATIONSHIPS IN THE FRAMEWORK OF HYDRAULIC FLOW UNITS CAN BE USED TO CHARACTERIZE HETEROGENEOUS RESERVOIR ROCKS. A HYDRAULIC FLOW UNIT (HFU) WITH IDENTICAL HYDRAULIC PROPERTIES SHOWS FLOW ZONE INDICATOR (FZI) WITH CLOSE VALUES. IN THE PRESENT STUDY, WE ATTEMPT TO MAKE A QUANTITATIVE CORRELATION BETWEEN FLOW UNITS AND WELL LOG RESPONSES USING NEURO-FUZZY METHOD IN THE SHALY SANDSTONE BALAKHANI FORMATION AT THE SHAHDENIZ OILFIELD, SOUTH CASPIAN. FIRST, HFUS ARE DETERMINED TO IMPROVE THE PREDICTION OF FLOW UNITS IN INTERVAL/WELLS. THESE MEASURES ARE BASED ON POROSITY AND PERMEABILITY OF CORES. A POPULAR NEURO-FUZZY METHOD, I.E., ADAPTIVE NETWORK-BASED FUZZY INFERENCE SYSTEMS (ANFIS), THAT IS BASED ON COMBINATION OF ADAPTIVE NEURAL NETWORKS AND FUZZY INFERENCE SYSTEMS (FIS) IS THEN USED TO OFFER A POWERFUL TOOL FOR IMPROVING THE FLOW UNITS PREDICTION. THE RESULTS OF THIS STUDY DEMONSTRATE THAT THERE IS A SIGNIFICANT AGREEMENT BETWEEN THE CORE-DERIVED AND ANFIS-BASED LOGS DERIVED FLOW UNITS. THE CONDUCTED EXPERIMENTAL RESULTS SHOW THAT ANFIS METHOD IS EFFICIENT FOR MODELING THE FLOW UNITS FROM WELL LOGS AT WELL LOCATIONS OF WHICH NO CORE DATA WAS AVAILABLE.

 
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