Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High Pour Point Oil Field in Hungary

Paper Ref: SPWLA-2022-0109
Presenter: Muhammad Nur Ali Akbar
Authors:   Muhammad Nur Ali Akbar, István Nemes, Zsolt Bihari, Helga Soltész, Ágnes Bárány, László Tóth, Szabolcs Borka, György Ferincz; MOL Hungary

Presenter Bio:Muhammad Nur Ali Akbar is an integrated Reservoir Engineer and Petrophysicist with 7+ years broad international experience in oil and gas field development, exploration, and CCUS (carbon capture, utilization and storage) projects in Hungary, Croatia, Norway, and Indonesia. Currently, He works at MOL Hungary under West-Hungarian Field Development Subsurface Team. Previously in Indonesia, He started his career in 2014 as a reservoir engineer consultant at Indonesia R&D Centre of Oil and Gas - LEMIGAS and LAPI ITB for serving various exploration and field development plan projects for Pertamina, Petronas, Repsol, and Ophir. He holds a BSc in Petroleum Engineering at Bandung Institute of Technology & Science and MSc in Petroleum Geo-Engineering at the University of Miskolc. He has published and presented more than 20 technical papers, won numerous technical awards from various professional societies, and contributing as the technical reviewer as well in respectful scientific and engineering journals. His research interests include in the integrated field of naturally fractured basement reservoir characterization, fracture and rock typing, rock physics, and advanced geostatistical methods. He is a member of SPWLA, SPE, and EAGE. Formerly, he was a president of SPWLA Indonesia chapter 2017-2019 and led the 2nd SPWLA Asia Pacific Technical Symposium 2018 in Bogor, Indonesia.

Abstract: An integrated technical study was conducted for a field development project in West-Hungary. This study offers a better solution for estimating petrophysical properties and fracture facies vertically along the well and laterally for 3D static and dynamic models of naturally fractured reservoirs in carbonate rocks. More than 30 wells with 40 years of production history were used to build reliable static and dynamic models. The fracture class/facies play an essential role in spatial distribution of petrophysical properties during 3D reservoir modeling. It was defined by integrating the conventional logs, image logs, drilling parameters, and production or well test data. Three fracture facies are defined as macro-fracture (including permeable sub-seismic fault), micro-fracture, and host rock. Subsequently the fracture-class’s spatial distribution is guided by seismic attributes of fault likelihood combined with geological concept of fault and damage zone. As a result, the established fracture classes along the wells are validated by static and dynamic subsurface data. Spherical self-organizing map (SOM) was also implemented for predicting the fracture location in wells having limited subsurface data. Moreover, fracture lateral distribution follows the distribution of the fault zone of fault core, high-damage zone, low-damage zone, and host-rock. The higher the fault displacement the wider the damage zone and fault core formed. Macro-fractures and micro-fractures frequently appear around fault core and high damage zone. (click on link above for full abstract)