Naslov
INA Plc. Exploration and Production Activities in Syria, Successful Achievement of Hydrocarbon Discoveries and Developments

Autori
Malvić, Tomislav ; Đureković, Miro ; Šikonja, Želimir ; Čogelja, Zoran ; Ilijaš, Tomislav ; Kruljac, Igor

Izvornik
Nafta : exploration, production, processing, petrochemistry (0027-755X) 62 (2011), 9-10; 297-306

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, pregledni rad, stručni

Ključne riječi
Syria ; Hayan Block ; Aphamia Block ; Triassic reservoirs ; Kurrachine Dolomites Formation ; hydrocarbons

Sažetak
INA-Industry of Oil Plc. (Croatia) has been present in Syria since 1998, working on exploration and development of hydrocarbon fields located in the Hayan Block. Recently, INA Plc. has been preparing the exploration activities in the Aphamia Block as well. All exploration activities are led by INA Branch Office, while development and production (for now exclusively in Hayan Block) is operated by Hayan Petroleum Company, a joint venture between INA and SPC (Syrian Petroleum Company). Since 1998 six commercial discoveries were reported in the Hayan Block, namely Jihar, Al Mahr, Jazal, Palmyra, Mustadira and Mazrur Fields. The largest proven reserves are related to Jihar Field where hydrocarbons were discovered in heterogeneous reservoir sequences, mostly in the fractured Middle Triassic carbonate reservoirs of the Kurrachine Dolomites Formation. Complex reservoir lithology assumed advanced reservoir characterization that included integration of all geologic and engineering data. Such characterization included several or the following models and calculations: (1) estimation OHIP potential scenarios and production foreseeing by dynamical simulations ; (2) structural interpretation from 3D seismic data ; (3) petrophysical variables estimation based on core analysis, log data and well tests. Moreover, in some reservoirs facies distribution was made using stochastic simulations. Advanced computer modelling of rock fracture geometry had been applied using interpretation of image logs, combined with core data. Two discrete fracture network models were stochastically created, giving fracture’s parameters as input for dynamic simulations, also making to predict more production scenarios as base for the next development stage.

Izvorni jezik
Hrvatski, engleski

Znanstvena područja
Geologija, Rudarstvo, nafta i geološko inženjerstvo

POVEZANOST RADA