The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT
Transactions ID Number: 32-157
Full Name: BAOUCHE rafik
Position: Researcher
Age: ON
Sex: Male
Address: Bat-11-A-03 Boumerdes - 35000
Country: ALGERIA
Tel: 0240662306945
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Fax:
E-mail address: r_baouche@yahoo.fr
Other E-mails: RBaouche@gmail.com
Title of the Paper: Using the Hydraulic Flow Unit and Fuzzy Logic Analysis into Improved Permeability Prediction for the Hassi R'Mel Field, Algeria.,
Authors as they appear in the Paper: R. Baouche*, A. Nedjari**, S. Eladj* and R. Chaouchi*
Email addresses of all the authors: *R_baouche@yahoo.fr; Rachaouchi@yahoo.fr ; Eladj_said@yahoo.fr ;**A. Nedjari@gmail.com
Number of paper pages: 12
Abstract: Characterization of the shaly sand reservoirs by flow units is a practical way of reservoir zonation. This work represents a petrophysical-based method that uses well loggings and core plug data to delineate flow units within the most productive shaly sand reservoir of Triassic Formation in Hassi R'Mel field of Algeria. In the study of oil reservoirs, the prediction of absolute permeability is a fundamental key in reservoir descriptions and has a direct impact on, amongst others, effective completion designs, successful water injection programs and more efficient reservoir management. Usually simple linear regressions of core porosity and permeability data or empirical relationships using various log responses (e.g. porosity, clay volume and water saturation) have been used to predict permeability. These empirical methods only apply locally and ignore the fact that there is no theoretical basis for a relationship between porosity and permeability. The Triassic Form!
ations of Hassi R'Mel fields are composed of sandstones and shaley sandy with dolomite. Logs from the 8 wells are the starting point for the reservoir characterization. The general geologic framework obtained from the logs point out for discriminations within the formation. Some representative core plug data from 10 different wells are used to better understand the petrophysical framework of the formation. The plots correlating petrophysical parameters and the frequency histograms suggest the presence of distinctive reservoir trends. The permeability models are constructed and their reliabilities are compared by the regression coefficients for predictions in un-cored sections. This indicates the presence of several "hydraulic flow units" (HFU) of similar petrophysical characteristics. Analysis of core data from the Hassi R'Mel East (HRE) Field in Algeria indicates such a scenario. The predicted permeabilities for each unit show good correlations with the calculated ones fro!
m core plugs. Highly reliable future estimations can be based on the d
erived methods.
Keywords: Well Log, Core analysis, Reservoirs, Modelling, Flow unit, Hassi R'Mel,Sahara.
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