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Applying an optimized proxy-based workflow for fast history matching

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Abstract

History matching is still one of the main challenging parts of reservoir study especially in giant brown oil fields with lots of wells. In these cases, history matching with conventional manual technique needs many runs and takes months to get a match. In this work, an innovative approach was suggested for fast history matching in a real brown field. The workflow was employed based on an optimized proxy model for history matching of a field consisting of 14 active wells with multiple responses (which are production rate and pressure data) in the south part of Iran. The main important features of the proposed algorithm were defining a proxy model which is response surface method in which 21 model parameters were incorporated based on cubic centered face method. The proxy model was then optimized by one of the most famous algorithms which is genetic algorithm. Proxy model was successfully performed using 256 samples leading into p- value of 0.531 and R 2 of 0.91 dataset. As a result, the proposed workflow and algorithm showed good and acceptable results for history matching of studied real model.

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Abbreviations

y :

vector of response

X :

model matrix

β :

coefficient matrix

Y Hist :

value of observed data

Y Calc :

corresponding simulated value

N :

responses which are oil production, water production and pressure 9 point

M :

number of regions

W Regions, W Responses :

:weight factors for regions and responses, respectively

SD :

standard deviation of the observed data

P :

time steps

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Authors and Affiliations

  1. Amirkabir University of Technology, Tehran, Iran

    Mojtaba Karimi, Ali Mortazavi & Mohammad Ahmadi

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  1. Mojtaba Karimi
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  2. Ali Mortazavi
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  3. Mohammad Ahmadi
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Correspondence to Ali Mortazavi.

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Karimi, M., Mortazavi, A. & Ahmadi, M. Applying an optimized proxy-based workflow for fast history matching. Arab J Geosci 10, 462 (2017). https://doi.org/10.1007/s12517-017-3247-y

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  • DOI: https://doi.org/10.1007/s12517-017-3247-y

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