تعیین واحدهای جریانی هیدرولیکی با بکارگیری روش شاخص زون جریانی و مقایسه آن‌ها با رخساره‌های الکتریکی و مقاطع میکروسکوپی در سازند سروک در یکی از میادین دشت آبادان

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشکده مهندسی نفت، دانشگاه صنعتی امیرکبیر تهران، ایران

2 ژئومدلر، شرکت دانا انرژی، ایران

چکیده

سرشت‌نمایی مخزن و تشخیص فاکتورهای اصلی کنترل‌کننده کیفیت مخزنی سهم مهمی در ارائه یک تصویر واقعی از ویژگی‌های مخزن دارد. سازند سروک از مهمترین سنگ‌های مخزن حوضه رسوبی زاگرس محسوب می‌شود و در چاه مورد مطالعه بر اساس لایه‌بندی، بافت، فسیل‌ها و ساختار رسوبی به سه رخساره مغزه تقسیم‌بندی می‌شود. در این مطالعه ابتدا با استفاده از داده‌های تخلخل و تراوایی مغزه یک چاه در این سازند به تعیین واحدهای جریانی هیدرولیکی بر اساس نشانگر زون جریانی پرداخته شد و سپس با مقایسه نتایج حاصل با مطالعات مقاطع نازک، عوامل موثر بر کیفیت هر واحد جریانی شناسایی شد. نتایج تعیین واحدهای جریانی هیدرولیکی بر مبنای نشانگر زون جریانی حاکی از وجود چهار واحد جریانی A، B، C و D در سازند سروک است که از واحد A تا D به ترتیب کیفیت مخزنی افزایش می‌یابد. سپس به تعیین رخساره‌های الکتریکی سازند سروک با بکارگیری داده‌های چاه‌پیمایی نوترون، چگالی و صوتی پرداخته شد که حاصل آن پنج رخساره الکتریکی EF1، EF2، EF3، EF4 و EF5 بود. با مقایسه رخساره‌های الکتریکی با واحدهای جریانی شناسایی شده و نتایج مطالعات مقاطع میکروسکوپی مشاهده گردید که سازند سروک به دلیل فرآیندهای دیاژنزی مختلفی مانند انحلال، سیمانی شدن و دولومیتی شدن دارای ناهمگنی بالایی در چاه مورد مطالعه است که با استفاده از مفهوم واحدهای جریانی و رخساره‌های الکتریکی و مقایسه با نتایج مطالعات مقاطع میکروسکوپی می‌توان بخش‌های مختلف این مخزن که دارای ویژگی‌های جریانی یکسانی هستند را از یکدیگر تفکیک کرد و نتایج را به چاه‌های فاقد مغزه در میدان مورد مطالعه تعمیم داد.

کلیدواژه‌ها


Abbaszadeh, M., Fujii, H., Fujimoto, F., 1996. Permeability prediction by hydraulic flow unit’s theory and applications, Society of Petroleum Engineers Formation Evaluation, pp. 263-271.
Acosta, L.M., Marin, E., Labastidas, E., Cordoba, P.M., Pascual, J., Bello, J.A., Auxiette, G., Gou, Y., Thorsen, B. and Jimenez, J.G., 2005. Reservoir Study V9 of El Furrial Field, Venezuela: paper Society of Petroleum Engineers 95047 presented at the Society of Petroleum Engineers Latin American and Caribbean Petroleum Engineering Conference, Rio de Janeiro, Brazil, June 20-23.
Ahr, W.M., 1991. Pore characteristics as surrogates for permeability in mapping reservoir flow units: Vacuum San Andreas field, Lea County, New Mexico (abs.), American Association of Petroleum Geologists Bulletin, pp. 532–533.
Ali-Nandalal, J., Gunter, G., 2003. Characterizing Reservoir Performance for the Mahogany 20 Gas Sand Based on Petrophysical and Rock Typing Methods: paper Society of Petroleum Engineers 81048 presented at the Society of Petroleum Engineers Latin American and Caribbean Petroleum Engineering Conference, Port-of-Spain, Trinidad, West Indies, 27-30.
Amaefule, J.O., Altunbay, M., Tiab, D., Kersey, D.G., Keelan, D.K., 1993. Enhanced reservoir description: using core and log data to identify hydraulic (flow) units and predict permeability in uncored intervals/wells, Society of Petroleum Engineers Annual Conference (SPE 26436-MS), pp. 205-220.
Archie, G.E., 1950. Introduction to Petrophysics of Reservoir Rocks, American Association of Petroleum Geologists Bulletin, pp. 943-961.
Bashari, A., 2007. Integrated 3D seismic and petrophysical data ofthe Sarvak formation in the Persian Gulf First Break, pp. 2545–2553.
Bhattacharya, S., Byrnes, A.P., Watney, W.L., Doveton, J.H., 2008. Flow unit modeling and fine-scale predicted permeability validation in Atokan sandstones: Norcan East field, Kansas, American Association of Petroleum Geologists Bulletin, pp. 709–732.
Bucheb, J.A., Evans, H.B., 1994. Some applications of method used in electrofacies identification. The Log Analyst 35, 14-26.
Davies, D.K., Williams, B.P.J., Vessell, R.K., 1993. Reservoir Geometry and Internal Permeability Distribution in Fluvial, Tight Gas Sandstones, Travis Peak Formation, Texas: paper Society of Petroleum Engineers 21850 presented at the Rocky Mountain Regional Meeting and Low Permeability Reservoirs Symposium, Denver, CO, April 15-17.
Dorfman, M.H., Newey, J.J., Coates, G.R., 1990. New techniques in lithofacies determination and permeability prediction in carbonate using well logs, Geological applications of wireline logs, Geological Society Special Publication, pp. 113-120.
Doveton, J.H., Prensky, S.E., 1992. Geological applications of wireline logs-A synopsis of developments and trends. The Log Analyst 33, 286-303.
Ebanks, W.J., 1987. Flow unit concept: Integrated approach to reservoir description for engineering projects (abs.), American Association of Petroleum Geologists Bulletin, pp. 551–552.
El Sawy, M.Z., Abuhagaza, A.A., Nabawy, B.S., Lashin, A., 2020. Rock typing and hydraulic flow units as a successful tool for reservoir characterization of Bentiu-Abu Gabra sequence, Muglad basin, southwest Sudan. Journal of African Earth Sciences 171, 103961.
Flugel, E., 2010. Microfacies of carbonate rocks: analysis, interpretation and application, 2nd, Springer, Berlin, 984.
Gomes, J.S., Ribeiro, M.T., Strohemenger, C.J., Negahban, S., Kalam, M.Z., 2008. Carbonate reservoir rock typing, the link between geology and SCAL, Proceedings of the Abu Dhabi International Petroleum Exhibition and Conference, Abu Dhabi, UAE.
Hearn, C.L., Ebanks Jr, W.J., Tye, R. S., Ranganathan, V., 1984. Geological factors influencing reservoir performance of the Hartzog Draw Field, Wyoming. Journal of Petroleum Technology 36, 1–335.
James, G.A., Wynd, J.G., 1965. Stratigraphic Nomenclature of Iranian Oil Consortium Agreement Area, American Association of Petroleum Geologists Bulletin, pp. 2182-2245.
Kadkhodaie-Ilkhchi, A., Amini, A., 2009. A fuzzy logic approach to estimating hydraulic flow units from well log data: A case study from the Ahwaz Oilfield, south Iran. Journal of Petroleum Geology 32, 67-78.
Khalid, M., Desouky, S.E.D., Rashed, M., Shazly, T., Sediek, K., 2020. Application of hydraulic flow units’ approach for improving reservoir characterization and predicting permeability. Journal of Petroleum Exploration and Production Technology 10, 467-479.
Larue, D.K., Legarre, H., 2004. Flow units, connectivity, and reservoir characterization in a wave-dominated deltaic reservoir: Meren reservoir, Nigeria American Association of Petroleum Geologists Bulletin, pp. 303-324.
Lee, S.H., Datta-Gupta, A., 1999. Electrofacies characterization and permeability predictions in carbonate reservoirs: Role of multivariate analysis and nonparametric regression, Society of Petroleum Engineers Annual Technical Conference and Exhibition OMEGA, Houston, Texas, pp. 409-421.
Lee, S.H., Kharghoria, A., Datta-Gupta, A., 2002. Electrofacies Characterization and Permeability Predictions in Complex Reservoirs, Society of Petroleum Engineers Reservoir Evaluation & Engineering, pp. 237-248.
Mathisen, T., Lee, S.H., Datta-Gupta, A., 2001. Improved Permeability Estimates in Carbonate Reservoirs Using Electrofacies Characterization: A Case Study of the North Robertson Unit, West Texas: paper Society of Petroleum Engineers, presented at the Society of Petroleum Engineers Permian Basin Oil and Gas Recovery Conference, Midland, TX, May 15-16.
Moline, R.G., Bahr, J.M.., 1995. Estimating spatial distributions of heterogeneous subsurface characteristics by regionalized classification of electrofacies. Mathematical Geology 27, 3-22.
Motiei, H., 1994. Stratigraphy of Zagros. A Publication of the Geological Survey of Iran, p. 536 (in Farsi).
Perez, H.H., Datta-Gupta, A., Mishra, S., 2005. The role of electrofacies, lithofacies and hydraulic flow units in permeability prediction from well logs: A comparative analysis using classification trees, Society of Petroleum Engineers Reservoir Evaluation & Engineering, pp. 143-155.
Petrokushyn, O., Antoniuk, V., 2020. Reservoirs Type Classification Using Hydraulic Flow Units Approach With An Application To Pivnichno-Korobochkynska Area (Dnipro-Donetsk Depression), In Geoinformatics, Theoretical and Applied Aspects, European Association of Geoscientists & Engineers, p. 1-5.
Porras, J.C., Barbato, R., Khazen, L., 1999. Reservoir Flow Units: A comparison between three different models in the Santa Barbara and Pirital fields, north Monagas area, eastern Venezuela Basin: paper Society of Petroleum Engineers 53671 presented at the Society of Petroleum Engineers Latin American and Caribbean Petroleum Engineering Conference, Caracas, Venezuela, April 21-23.
Porras, J.C., Campos, O., 2001. Rock typing: A key approach for petrophysical characterization and definition of flow units, Santa Barbara field, eastern Venezuela Basin, Society of Petroleum Engineers, 69458- MS.
Rushing, J.A., 2008. Rock Typing - Keys to Understanding Productivity in Tight Gas Sands: Unconventional Reservoirs Conference, Keystone, Colorado, U.S.A.
Serra, O., 1986. Fundamentals of well log interpretation, the interpretation of logging data: Developments in Petroleum Science 15B, Elsevier, Amsterdam, 684.
Serra, O., Abbot, H.T., 1982. The contribution of logging data to sedimentology and stratigraphy, Society Petroleum Engineers Journal 22, 117-135.
Shenawi, S.H., White, J.P., Elrafie, E.A., El-Kilany, K.A., 2007. Permeability and water saturation distribution by lithologic facies and hydraulic units: A reservoir simulation study: paper Society of Petroleum Engineers 105273 presented at the 15th Society of Petroleum Engineers Middle East Oil & Gas Show and Conference, Kingdom of Bahrain, March 11-14.
Soleimani, B., Moradi, B., Ghobeishavi, A., 2016. Evaluation of Bangestan Reservoir Quality Using Electrofacies and Flow Units in Mansouri Field in Southwest, Iran. Advanced Applied Geology 6, 22-24.
Teymori, E., Abdideh, M., Gholamzadeh, M.A., 2020. The zoning and characterisation of heterogeneous carbonate reservoirs based on the concept of flow units. Applied Earth Science 129, 1-11.
Zeinalzadeh, A., Moussavi-Harami, R., Mahboubi, A., Sajjadian, V. A., 2015. Basin and petroleum system modeling of the Cretaceous and Jurassic source rocks of the gas and oil reservoirs in Darquain field, south west Iran. Journal of Natural Gas Science and Engineering 26, 419-426.