TN360 : Facies modeling for one oil field in the south western part of Iran using core and well logs data
Thesis > Central Library of Shahrood University > Mining, Petroleum & Geophysics Engineering > MSc > 2011
Authors:
Yaser Zare [Author], Ali Moradzadeh[Supervisor], Nozar Salehi [Advisor]
Abstarct: As we know hydrocarbore reservoirs play a critical role in economic. So, accurate reservoir studies by new methods and technology to achieve good models are important. Understudy oil field in this thesis located in Khuzestan province and information of seven wells are available. Principal goal is Facies modeling using core, well logs and petrophysical data for better reservoir understanding. Another goals is estimate of a relation between petrophysical parameters such as porosity and permeability and distribution of them to create geological, exploration and static model for reservoir. To achieve these goals first, petrophysical parameters determined using raw data from well logs. This work done for porosity, permeability and water saturation by IP software. This step must be done very precise because, wrong determination of these parameters lead to misunderstanding and incorrect model for reservoir. In the next step petrophysical and lithological modeling is done using several methods by Petrel software. Geostatistical methods (stochastic and deterministic) were used for modeling. Stochastic methods are more better than deterministic methods and have a good vision from heterogeny of reservoir. Deterministic methods distribute parameters locally and this lead to wrong understanding from reservoir. Results show that Gaussian Random Function Simulation (GRFS) method is the best method for distribution of continuous parameters (porosity, permeability and water saturation) and Sequential Indicator Simulation(SIS) method for discrete parameters (lithological facies). This study show that understudy oil field have a good quality in west, north, and southwest part of field. In these parts grainstone and wackstone/packstone facies are more than another facies because these facies are good for a rock reservoir. Mean value of porosity, permeability and water saturation in three primary parts of 3th laxyer are 12.52%, 6 millidarcy and 16.58%, respectively and 5.9%, 6 millidarcy and 40% for the last part of 3th laxyer as a tight laxyer.
Keywords:
#facies and petrophysical model #core and well logs data #stochastic and deterministic methods #Gaussian Random Function Simulation(GRFS) #Sequential Indicator Simulation(SIS) Link
Keeping place: Central Library of Shahrood University
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