Mature fields have been playing a significant role in the oil and gas realm recently, and redevelopment and optimization efforts are being made globally to prolong the lifetime of these resources. The aim of this study is to showcase the benefits of hydrocarbon reservoir modelling, with a special focus on various aspects of Petrel workflows.
This article is a direct continuation of Nemes et al. (2021), which described the Phase 1 geomodel of the same field described in this study. The Phase 2 geomodel – the scope of the current article – is based on a significantly more complete, more detailed, and fundamentally rebuilt dataset compared to Phase 1. The seismic and petrophysical interpretations were updated, and additional data sources were incorporated into the analysis.
The geomodel was created in Schlumberger's Petrel software, and during the building of it, a comprehensive 800-plus-step, full-cycle, automated workflow was outlined. The created workflow makes the model update faster by a minimum of five times, makes it more transparent and decreases the risk of human error.
The created workflow describes the entire geomodelling process from data loading, via surface adjustments, structural modelling, and property modelling, to a closing of the loop with volumetric calculation. The whole workflow can be rerun easily, and beside the updates made to the geomodel, a full range of quality-check supporting calculations and visualizations were created in order to provide the user with full control.
The geomodel showcased here is a key building block of the ongoing and planned development and redevelopment activities in the field, serves as a tool for well and workover planning, water injection system adjustments and a direct input to dynamic simulation, and also provides direct inputs to the documentation of an updated field development plan.
Abbaszadeh, M., Koide, N., and Murahashi, Y. (2000). Integrated characterization and flow modeling of a heterogeneous carbonate reservoir in Daleel field, Oman, https://doi.org/10.2118/62514-PA.
Akoum, M. and Hazzaa, H.B. (2019). A data governance framework – the foundation for data management excellence, https://doi.org/10.2118/198593-MS.
Albertini, C., Bigoni, F., Cominelli, A., Della Rossa, E., Francesconi, A., and Tarantini, V. (2014). Karachaganak, integrated reservoir studies on a giant field, https://doi.org/10.2118/172274-MS.
Aung, T.T., Noguchi, S., Oikawa, N., Kanno, T., Tamaki, M., and Akihisa, K. (2011). Integrated facies modeling workflow for methane hydrate reservoir along the eastern Nankai Trough, Japan, https://doi.org/10.2523/IPTC-15303-MS.
Baillie, J., Coombes, T., and Rare, S. (1996). Dunbar reservoir model, a multidisciplinary approach to update brent reservoir description and modelling, https://doi.org/10.2118/35528-MS.
Banks, R.B (1982). New thoughts on an old topic: reservoir integration (volumetrics), https://doi.org/10.2118/11339-MS.
Blotskaya, A.I. and Sardarov, G.S. (2020). West Siberia Jurassic sediments rock typing and digital models creating for geological model refining, https://doi.org/10.2118/201965-MS.
Campobasso, S., Gavana, A., Bellentani, G., Pentoli, I., Pontiggia, M., Villani, L., and Abdelsamad, T.H. (2005). Multidisciplinary workflow for oil fields reservoir studies - case history: Meleiha Field in Western Desert, Egypt, https://doi.org/10.2118/94066-MS.
Cimic, M. (2006). Russian mature fields redevelopment, https://doi.org/10.2118/102123-MS.
Corlett, H., Hodgetts, D., Hirani, J., Rotevatn, A., Taylor, R., and Hollis, C. (2021). A geocellular modelling workflow for partially dolomitized remobilized carbonates: An example from the Hammam Faraun Fault block, Gulf of Suez, Egypt. Marine and Petroleum Geology, 126: 19.
David, R.M., Saputelli, L., Hafez, H., Narayanan, R., Colomban, P., and Al Naqbi, T (2017). Upstream data architecture and data governance framework for efficient integrated upstream workflows and operations, https://doi.org/10.2118/188962-MS.
El-Bagoury, M.A., Fahmy, M., Kamal, M., Saad, A., VanHeeswijk, V., and Kharboutly, R. (2017). Key learnings from re-development activity and waterflood EOR of mature brown field: Heterogeneous compartmentalized reservoir case study, Western Desert, Egypt, https://doi.org/10.2118/188574-MS.
Emerson (2019). Roxar RMS software help. Online.
GaffneyCline (2020). Mature fields optimization. GaffneyCline Ltd, p. 4.
Galindo, R.O., Galindo-Nava, A., Perez-Alvis, E., and Ortuno, E. (2012). Static/dynamic model for Chac Field based on a novel multidisciplinary workflow, https://doi.org/10.2118/153708-MS.
Golovatskiy, Y., Petrashov, O., Syrtlanov, V., Vafin, I., and Mezhnova, N. (2015). Huge mature fields rejuvenation, https://doi.org/10.2118/177334-MS.
Guseva, D.M., Butenko, V.K., Borisova, L.I., Podosjan, R.N., and Popova, N.N. (1975). Geologija i razrabotka neftjanyh i gazovyh mestorozdenij Orenburgskoj Oblasti. (in Russian) Juzno-uralskoe ot delenie Vsesojuznogo naucno-iscledovatelskogo geologorazvedocnogo neftjanogo instituta, Ministerstvo Geologii SSSR, Privolzskoe Knitnoe Izdatelstvo, p. 256.
Haq, B.U. and Schutter, S.R. (2008). A chronology of Paleozoic sea-level changes. Science, 322: 64–68.
Kaleta, M., Van Essen, G., Van Doren, J., Bennett, R., Van Beest, B., Van Den Hoek, P., Brint, J., and Woodhead, T. (2012). Coupled static/dynamic modeling for improved uncertainty handling, https://doi.org/10.2118/154400-MS.
Kolchugin, A.N., Morozov, V.P., Korolev, E.A., and Eskin, A.A. (2014). Carbonate formation of the lower Carboniferous in central part of Volga–Ural Basin – Research Communication. Current Science, 107(12): 2029–2035.
Kumar, S., Wen, X.-H., He, J., Lin, W., Yardumian, H., Fahruri, I., Zhang, Y., Orribo, J.M., Ghomian, Y., Marchiano, I.P., and Babafemi, A. (2017). Integrated static and dynamic uncertainties modeling big-loop workflow enhances performance prediction and optimization, https://doi.org/10.2118/182711-MS.
Lukmanov, R. and Ibrahim, E. (2018). Unlocking tight gas volume with integrated multidisciplinary diagnostic approach, https://doi.org/10.2118/191412-18IHFT-MS.
Lupu, D (2019). Current trends in the exploitation of mature gas fields in the context of rehabilitation concept. MATEC Web of Conferences, 290: 10005.
Mantopoulos, A., Marques, D.A., Hunt, S.P., Ng, S., Fei, Y., and Haghighi, M. (2015). Best practice and lessons learned for the development and calibration of integrated production models for the Cooper Basin, Australia, https://doi.org/10.2118/176131-MS.
Martino, L., Iuliano, A., Sezai, U., and Hern, C. (2012). Reviewing mature fields – a case history, https://doi.org/10.2118/169270-MS.
McComb, T. and Towler, B.F. (2013). How to tackle the challenge of mature field development. The Way Ahead, 9(3): 18–20.
Meyerhoff, A.A (1984). Carboniferous oil and gas production in the eastern hemisphere. Journal of Petroleum Geology, 7(2): 125–146.
Muhammad, N.A.A., Nemes, I., Bihari, Zs., Soltész, H., Bárány, Á., Tóth, L., Borka, Sz., and Ferincz, Gy. (2022). Naturally fractured carbonate reservoir characterization: A case study of a mature high-pour point oil field in Hungary, https://doi.org/10.30632/SPWLA-2022-0109.
Nemes, I (2016). Revisiting the applications of drainage capillary pressure curves in water-wet hydrocarbon systems. Open Geosciences, 8(1): 22–38.
Nemes, I, Szilágyi Sebők, Sz., and Csató, I. (2021). Challenges of a mature Russian field's re-development – advantages and disadvantages of quick-look geological modelling. Central European Geology, 64(2): 74–90.
Ng, K.F., Afandi, T., Sa'adon, D., Ja'afar, J., Omar, M.A., Latiff, N.A., Santoso, G.I., Alang, K., Roberts, I.D., Murad, N., Permanasari, D., and Kutty, F. (2016). Success Story: A new development concept utilising new advanced technology in a very old complex mature field, https://doi.org/10.2118/176120-MS.
O'Brien, J., Sayavedra, L., Mogollon, J.L., Lokhandwala, T., and Lakani, R. (2016). Maximizing mature field production – a novel approach to screening mature fields revitalization options, https://doi.org/10.2118/180090-MS.
Okuyiga, M., Berrim, A., Shehab, R., Haddad, S., Xian, C., and Lawi, M.A. (2007). Multidisciplinary approach and new technology improve carbonate reservoir evaluation, https://doi.org/10.2523/IPTC-11528-MS.
Orenburgskaja neftjanaja akcionernaja kompanija (ONAKO) (1997). Geologiceskoe stroenie i neftegazonosnost Orenburgskoj Oblasti. (in Russian) Orenburgskoe Kniznoe Izdatelstvo, pp. 43–56.
Pápay, J. (2003). Development of petroleum reservoirs. Akadémiai Kiadó, p. 940.
Parfenov, A.N., Sitdikov, S.S., Evseev, O.V., Shashel, V.A., and Butula, K.K. (2008). Particularities of hydraulic fracturing in dome type reservoirs of Samara Area in the Volga-Urals Basin, https://doi.org/10.2118/115556-MS.
Parshall, J. (2012). Mature fields hold big expansion opportunity. Journal of Petroleum Technology, 10: 52–58.
Peterson, J.A. and Clarke, J.W. (1983). Geology of the Volga-Ural petroleum province and detailed description of the Romashkino and Arlan oil fields. USGS Open-File Report: 83–711.
Pyrcz, M.J. and Deutsch, C.V. (2014). Geostatistical reservoir modeling. Oxford University Press, p. 449.
Rajput, S., Xinjun, M., Bal, A., Rahman, K., and Junwen, W. (2015). Reducing uncertainty in horizontal well placement for improved field development, https://doi.org/10.2118/175083-MS.
Ringrose, P (2008). Total-property modeling: dispelling the net-to-gross myth, https://doi.org/10.2118/106620-PA.
Ringrose, P. and Bentley, M. (2015). Reservoir model design – a practitioner's guide. Springer, p. 250.
Saikia, K., Khan, W., and Ramakrishnan, S. (2015). Challenges in deepwater reservoir characterization: From well log interpretation and well testing to 3D geocellular modeling, https://doi.org/10.2118/175071-MS.
Sanasi, C., Dal Forno, L., Maccarini, G.R., Mutidieri, L., Tempone, P., Mezzapesa, D., Dalla Rosa, M., Bucci, A., Rinaldi, F., and Andreoletti, C. (2021). Company data governance transformation to support the business evolution, https://doi.org/10.2118/207525-MS.
Sarkar, S., Kumar, S., Reddy, K., Shankar, V., Mishra, U.S., and Sabharwal, V. (2015). Arresting decline in the Ravva field: Success story of Phase-5 drilling campaign, https://doi.org/10.2118/178753-MS.
Schlumberger (2021). Petrel Guru. Build: 20161025.1.
Shirazi, A.F., Solonitsyn, S.V., and Kuvaev, I.A. (2010). Integrated geological and engineering uncertainty analysis workflow, Lower Permian Carbonate Reservoir, Timan-Pechora Basin, Russia, https://doi.org/10.2118/136322-MS.
Szilágyi Sebők, Sz., Csató, I., and Nemes, I. (2021). Sedimentology and depositional system of a transitional shallow marine- coastal complex, Lower Visean deposits in the Central Volga-Ural Petroleum Province, Orenburg. Central European Geology, 64(2): 113–132.
Tiwari, A., Shanna, N.M., Manickavasagam, C., and Fartiyal, P. (2015). Production optimisation in mature fields, https://doi.org/10.2118/178090-MS.
Vo Thanh, H, Sugai, Y., Nguele, R., and Sasaki, K. (2019). Integrated workflow in 3D geological model construction for evaluation of CO2 storage capacity of a fractured basement reservoir in Cuu Long Basin, Vietnam. International Journal of Greenhouse Gas Control, 90: 14.
Volz, R.F., Burn, K., Litvak, M.L., Thakur, S.C., and Skvortsov, S. (2008). Field development optimization of Eastern Siberian giant oil field development under uncertainty, https://doi.org/10.2118/116831-MS.
Waskito, L.B., Widiatmo, R., Gunawan, H., and Pengxiao, S. (2015). Integrated offshore mature field revitalization in Asri Basin, North Business Unit Area, Southeast Sumatra, Indonesia, https://doi.org/10.2118/176250-MS.
Zonenshain, L.P., Korinevsky, V.G., Kazmin, V.G., Pechersky, D.M., Khain, V.V., and Matveenkov, V.V. (1984). Plate tectonic model of the south Urals development. Tectonophysics, 109: 95–135.
Zozulya, A., Petrakov, Y., Karpekin, Y., Blinov, V., Weinheber, P., and Karipov, I. (2016). New life for old fields: Identification of bypassed productive zones, formation evaluation and formation testing through casing with modern wireline tools, https://doi.org/10.2118/182102-MS.