Abstract
The objective of this work is to characterize a highly heterogenous carbonate reservoir into flow units. The reservoir was previously categorized based on the geological information into three layers. However, considerable issues were arisen during the production history of this reservoirs that shows lack of accuracy of reservoir characterization.
Core data was analysed, first, using flow zone indicator and reservoir quality index. This resulted in identifying six hydraulic units. Then, data was categorized into pore throat size and pore type using Winland method. Afterwards, well-log interpretation was carried out to distribute the water saturation, porosity and formation lithology in each selected well. Archie parameters were calculated using Pickett’s Method. The well-log interpretation and core data analyses were then gathered to divide the reservoir into flow units.
As a result, fifteen flow units were obtained. The classified flow units give clear indicator of the changes in the petrophysical properties a long the field. The framework introduced here displays clearly that the suggested methodology can improve carbonate reservoir characterization, while relaying on geological description alone could be insufficient.
Core data was analysed, first, using flow zone indicator and reservoir quality index. This resulted in identifying six hydraulic units. Then, data was categorized into pore throat size and pore type using Winland method. Afterwards, well-log interpretation was carried out to distribute the water saturation, porosity and formation lithology in each selected well. Archie parameters were calculated using Pickett’s Method. The well-log interpretation and core data analyses were then gathered to divide the reservoir into flow units.
As a result, fifteen flow units were obtained. The classified flow units give clear indicator of the changes in the petrophysical properties a long the field. The framework introduced here displays clearly that the suggested methodology can improve carbonate reservoir characterization, while relaying on geological description alone could be insufficient.
Original language | English |
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Title of host publication | EAGE 2020 Annual Conference & Exhibition Online |
Publisher | EAGE Publishing BV |
Pages | 1-5 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 8 Dec 2020 |