Propsing new approach for litho-facies modeling by use of Markov Chain method , an Iranian oil field
Subject Areas :هانیه نیکو گفتار 1 , بهزاد تخم چی 2 , عباس بحرودی 3 , غلامحسین نوروزی 4
1 - University of Tehran
2 - University of Tehran
3 - University of Tehran
4 - University of Tehran
Keywords: Markov chain Litho-facies Trasition mtrix hydrocarbon reservoirs Conditional simulation,
Abstract :
Reconnaissance and interpretation of underground heterogeneity, particularly litho-facies,always plays an important role in evaluation and management of hy dro carbon resources.between various methods presented for modeling discrete characteristics of hydrocarbon reservoies such as litho-facies ,One with a more proper con formity with actual condition of reservoie facies is of great ad vantage . formed on basis of pro bability and presenting transition matrix, markov method is widely applied as a powerful tools for modeling the facies .In the present study , first the method is introduced in details; then, in order to optimize it, suggestion is made based on changing the type of the move of chain in simulation procedure. the case study is a 12 km long 110 m thick section of Anhydrite and three major members of asmari Formation from an oil field, South-West Iran.This section is modeed through Markov procedure and proposed solution .The models set indicated that on basis of using the deta from two wells and five seis mic horizons, best result ,with 90% accuracy , is for reciprocatng motion.
