Reservoir Permeability Estimation from Well Logs using Fuzzy Logic

Lieferzeit: Lieferbar innerhalb 14 Tagen

49,90 

ISBN: 6139586127
ISBN 13: 9786139586127
Autor: Kalvani, Naeem/Shahi, Aref
Verlag: LAP LAMBERT Academic Publishing
Umfang: 92 S.
Erscheinungsdatum: 08.05.2018
Auflage: 1/2018
Format: 0.7 x 22 x 15
Gewicht: 155 g
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 5110910 Kategorie:

Beschreibung

Reservoir characterization is a process of describing various reservoir characteristics using all the variable data to provide reliable reservoir models for obtaining an accurate reservoir performance prediction. Reservoir characterization plays a crucial role in modern reservoir management. The reservoir characteristics include pore and grain size distribution, permeability, porosity, facies distribution, and depositional environment. The types of data need to describe the characteristics are core data, well logs, well tests and seismic reflection data. Permeability and rock type (i.e. lithology, pore geometry and range of porosity and permeability) are the most important rock properties which can be used as input parameters to build a 3D petrophysical model of the hydrocarbon reservoir. These parameters are derived from core samples which may not be available for all boreholes, whereas almost all boreholes have well log data.

Autorenporträt

Naeem Kalvani: M.Sc in Petroleum Engineering, Petroleum University of Technology,2014.B.Sc in Mining Engineering Shahrood University of Technology,2012. He has considerable experience in reservoir characterization and reservoir modeling using multiple-point geostatistics.

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