کاربرد لاگهای تصویری در بهبود ضریب سیمانشدگی مخزن آسماری یکی از میادین نفتی فروافتادگی دزفول | ||
پژوهشهای دانش زمین | ||
دوره 12، شماره 2 - شماره پیاپی 46، مرداد 1400، صفحه 157-172 اصل مقاله (3.65 M) | ||
نوع مقاله: مقاله پژوهشی | ||
شناسه دیجیتال (DOI): 10.52547/esrj.12.2.157 | ||
نویسندگان | ||
سیده نادیا حسینی1؛ الهام اسدی مهماندوستی* 1؛ فرهاد خوشبخت2 | ||
1گروه زمینشناسی، دانشکده علوم زمین، دانشگاه خوارزمی، تهران، ایران | ||
2پژوهشگاه صنعت نفت، تهران، ایران | ||
چکیده | ||
محاسبه دقیق اشباع شدگی، به ضریب سیمان شدگی (m) وابسته است که بهطور رایج به صورت یک عدد ثابت در نظر گرفته میشود. با توجه به ساختار ناهمگون در سنگهای کربناته، استفاده از مقادیر ثابت میتواند منجر به خطای زیادی در محاسبات اشباع سیالات شود. در این پژوهش به منظور بهبود ضریب سیمانشدگی و محاسبه دقیق اشباع آب مخزن کربناته شکافدار آسماری ارزیابی پتروفیزیکی یک بار با دیدگاه مرسوم و با در نظر گرفتن مقدار ثابت برای m و بار دیگر با میزان m متغیر مشخص شده توسط لاگهای تصویری انجام شد. در این راستا ابتدا تفسیر پتروفیزیکی لاگهای متداول چاه مورد مطالعه با استفاده از مدل Multimin در نرم افزار Geolog صورت پذیرفت. در ادامه دادههای لاگهای تصویری FMI چاه مذکور برای استخراج پدیدههای مختلف ساختمانی به ویژه شکستگیها مورد استفاده قرار گرفت. در نهایت ضریب سیمانی شدگی متغیر با در نظر گرفتن چگالی شکستگیهای زونهای مختلف به دست آمد و ارزیابی پتروفیزیکی مجددا با در نظر گرفتن تاثیر آن صورت گرفت. نتایج ارزیابی پتروفیزیکی نشان داد که میزان و الگوی شکستگیها یکی از فاکتورهای مهم کنترلکننده ضریب سیمانشدگی مخزن مورد مطالعه هستند. مقایسه نتایج ارزیابی پتروفیزیکی به دو روش مرسوم و روش استفاده از نتایج لاگهای تصویری و تطابق با دادههای مغزه حاکی از آن است که علیرغم تغییرات ضریب سیمانشدگی، تغییرات زیادی بر روی میزان تخلخلهای مخزن آسماری در میدان نفتی مورد مطالعه مشاهده نمیشود. در حالی که تغییرات کمی در ضریب سیمانشدگی، منجر به تغییرات وسیعی در میزان فاکتور اشباع شدگی این مخزن میگردد. | ||
کلیدواژهها | ||
ارزیابی پتروفیزیکی؛ اشباع آب؛ ضریب سیمانشدگی (m)؛ لاگهای تصویری؛ مخزن کربناته شکافدار آسماری | ||
عنوان مقاله [English] | ||
Application of image logs to improve cementation exponent of the Asmari reservoir in an oilfields of Dezful Embayment | ||
نویسندگان [English] | ||
Seyede Nadia Hosseini1؛ Elham Asadi Mehmandosti1؛ Farhad Khoshbakht2 | ||
1Department of Geology, Faculty of Earth Sciences, Kharazmi University, Tehran, Iran | ||
2Research Institute of Petroleum Industry, Tehran, Iran | ||
چکیده [English] | ||
Introduction Determination of petrophysical properties is the most important part of hydrocarbon reservoirs characterization. Accordingly, by obtaining total and effective porosity, the volume of shale, and the saturation of the fluids, the reservoir regions are determined. Identification of fluid saturation as a petrophysical characteristic has an important effect in hydrocarbon reservoir studies. The exact calculation of this factor depends on the cementation exponent (m) which is commonly considered as a constant number. Due to the heterogeneous structure of carbonate rocks, the use of constant values can lead to a large error in the fluid saturation calculations. In this study, in order to improve the cementation exponent and to accurately calculate the saturation of the fractured Asmari reservoir in one of the wells south of Dezful Embayment oilfields, petrophysical, core and image log data (FMI) were used. Material & Methods Petrophysical evaluation was performed once with a conventional method, taking into account the constant value for m and again with the variable m value specified by image logs. In this regard, firstly, the petrophysical interpretation of full set logs of the studied well were made, using the Multimin model in Geolog software. Then, the FMI image logs of the well were used to extract various structural phenomena, especially fractures. Finally, the variable cementation exponent was calculated by taking into account the density of fractures of different zones and the petrophysical evaluation was again considered with consideration of its effect. Results and discussion Based on image log analysis in studied reservoir, three major fractures, including open and semi-open fractures, filled fractures and breakout fractures -due to borehole collapse- have been identified. These fractures are more commonly observed in the lower part of the Asmari carbonate reservoir in the studied well. Image log analysis showed that with increasing the open and semi-open fractures’ density, variation of cementation exponent also increased. So, the effect of this exponent on petrophysical evaluation is important. Also, the results of petrophysical evaluation showed that the amount and pattern of fractures are important factors controlling the cementation exponent of the studied reservoir. As the fractures increase, the cementation exponent decreases and as a result, the water saturation decreases. Conclusions Comparison of petrophysical evaluation with conventional and image log methods and correlation with the core data indicate that despite the changes in cementation exponent, porosities of Asmari reservoir did not change significantly in the studied oil field. On the contrary, small changes in the cementation exponent, can lead to large variations in the saturation factor in this reservoir. Therefore, the correct estimation of the cementation exponent in each zone is necessary for an accurate estimation of the saturation factor in the reservoirs. Therefore, using image logs to evaluate petrophysical properties in order to improve the evaluation of reservoir quality can be a precise and relatively rapid method in reservoir studies. | ||
کلیدواژهها [English] | ||
Petrophysical assessment, Water saturation, Cementation exponent (m(, Image logs, Asmari fractured carbonate reservoir. | ||
مراجع | ||
-چهرازی، ع. و رضایی، م.ر.، 1393. اصول برداشت و تفسیر نگارههای چاهپیمایی، انتشارات دانشگاه تهران، 699 ص. -کاظم زاده، ع.، نبی بیدهندی، م.، کرامتی معزآباد، م.، رضایی، م.ر. و سعادت، ک.، 1386. تعیین ضرایب آرچی در پتروفاسیس های متفاوت سنگهای کربناته با استفاده از لاگهای انحراف سرعت امواج لرزهای، مجله فیزیک زمین و فضا، 33، ص 51-66. -مطیعی، ه.، 1372. چینهشناسی زاگرس، طرح تدوین کتاب، زمینشناسی ایران، سازمان زمینشناسی کشور، 536 ص.
-Aguilera, M.S. and Aguilera, R., 2003. Improved models for petrophysical analysis of dual porosity reservoirs. Petrophysics, v. 44, 23 p.
-Akbar, M., Steckhan, J., Tamimi, M., Zhang, T. and Saner, S., 2008. Estimating cementation factor (m) for carbonates using borehole images and logs, In Abu Dhabi International Petroleum Exhibition and Conference, Society of Petroleum Engineers.
-Alavi, M., 2007. Structures of the Zagros fold-thrust belt in Iran. American Journal of science, v. 307(9), p. 1064-1095.
-Archie, G.E., 1942. The electrical resistivity log as an aid in determining some reservoir characteristics. Transactions of the AIME, v. 146, p. 54-62.
-Asquith, G.B. and Krygowski, D., 2004. Basic well log analysis, Second Edition, AAPG Methods in Exploration Series, v. 16, 244 p.
-Attia, M.A., 2005. Effects of petrophysical rock properties on tortuosity factor Journal of Petroleum Science and Engineering, v. 48. p. 185-198.
-Barbier, M., Hamon, Y., Callot, J.P., Floquet, M. and Daniel, J.M., 2012. Sedimentary and diagenetic controls on the multiscale fracturing pattern of a carbonate reservoir: The Madison Formation (Sheep Mountain, Wyoming, USA). Marine and Petroleum Geology, v. 29, p. 50-67.
-Ellis, D.V. and Singer, J.M., 2007. Well logging for earth scientists. Dordrecht: Springer, 692 p.
-Ellis, M.A., Laubach, S.E., Eichhubl, P., Olson, J.E. and Hargrove, P., 2012. Fracture development and diagenesis of Torridon Group Applecross Formation, near an Teallach, NW Scotland: Millennia of brittle. deformation resilience. Journal of the Geological Society, v. 169, p. 297-310.
-Fertl, W.H., 1981. Openhole Crossplot Concepts A Powerful Technique in Well Log Analysis. Journal of Petroleum Technology, v. 33, p. 535-549.
-Focke, J. and Munn, D., 1987. Cementation exponents in Middle Eastern carbonate reservoirs, SPE formation evaluation v. 2(2), p. 155-167.
-Frailey, S.M., Asquith, G.B., Anderson, G.A. and Adisoemarta, P.S., 2002. Simultaneous Calculation of Archie Parameters m, n, and a, Publications-West Texas Geological Society, p. 177-192.
-Hearst, J.R., Nelson, P.H. and Paillet, F.L., 2000. Well logging for physical properties, John Wiley and Sons Ltd, Chilchester.
-Heydari, H., Moghadasi, H. and Motafakkerfard, R., 2013. A New Approach to Measuring Cementation Factor by Using an Intelligent System, Iranian Journal of Oil & Gas Science and Technology, v. 2(4), p. 39-53.
-Khoshbakht, F., Memarian, H. and Mohammadnia, M., 2009. Comparison of Asmari, Pabdeh and Gurpi formation's fractures, derived from image log, Journal of Petroleum science and Engineering, v. 67(1-2), p. 65-74.
-Laubach, S.E., 2003. Practical approaches to identifying sealed and open fractures. AAPG bulletin, v. 87(4), p. 561-579.
-Lucia, F.J., 1983. Petrophysical parameters estimated from visual descriptions of carbonate rocks: a field classification of carbonate pore space, Journal of petroleum technology, v. 35(3), p. 629-637.
-Nazemi, M., Tavakoli, V., Rahimpour-Bonab, H., Hosseini, M. and Sharifi-Yazdi, M., 2018. The effect of carbonate reservoir heterogeneity on Archie's exponents (a and m), an example from Kangan and Dalan gas formations in the central Persian Gulf. Journal of Natural Gas Science and Engineering, v. 59, p. 297-308.
-Nelson, R., 2001. Geologic analysis of naturally fractured reservoirs, Gulf Professional Publishing, 352 p.
-Nie, X., Zou, C., Pan, L., Huang Z. and Liu, D., 2013. Fracture analysis and determination of in-situ stress direction from resistivity and acoustic image logs and core data in the Wenchuan Earthquake Fault Scientific Drilling Borehole-2 (50–1370 m). Tectonophysics, v. 593, p. 161-171.
-Nelson, R.A., 2001. Geological analysis of naturally fractured reservoirs 2nd edn. Gulf Professional Publishing, Houston, 345 p.
-Poppelreiter, M., Garcia-Carballido, C. and Kraaijveld, M., 2010. Borehole image log technology: application across the exploration and production life cycle, p. 1-13.
-Poupon, A. and Leveaux, J., 1971. Evaluation of Water Saturation in Shaly Formations, Trans. SPWLA 12th Annual Logging Symposium, p. 1-2.
-Qin, Z., Pan, H., Ma, H., Konat, A.A., Hou, M. and Luo, S., 2016. Fast prediction method of Archie’s cementation, Journal of Natural Gas Science and Engineering, v. 34, p. 291-297.
-Rafiee, S., Hashemi, R. and Shahi, M., 2014. A New Cementation Factor Correlation in Carbonate Parts of Oil Fields in South-West Iran, Iranian Journal of Oil & Gas Science and Technology, v. 3(2), p. 1-17.
-Rajabi, M., Sherkati, S., Bohloli, B. and Tingay, M., 2010. Subsurface fracture analysis and determination of in-situ stress direction using FMI logs: An example from the Santonian carbonates (Ilam Formation) in the Abadan Plain, Iran. Tectonophysics, v. 492(1-4), p. 192-200.
-Ringrose, P. and Bentley, M., 2015. Reservoir model types, In Reservoir Model Design, Springer, Dordrecht, p. 173-231.
-Roehl, P.O. and chouette, P.W., 1985. Carbonate Petroleum Reservoirs, New York, Springer-Verlage, 622 p.
-Salem, H.S. and Chilingarian, G.V., 1999. The cementation factor of Archie's equation for shaly sandstone reservoirs, Journal of Petroleum Science and Engineering, v. 23(2), p. 83-93.
-Shaocheng, J., Zheming, Z. and Zichao, W., 1998. Relationship between joint spacing and bed thickness in sedimentary rocks: effects of interbed slip. Geology and Magnetic v. 135, p. 637-655.
-Sun, S.Q., 1995. Dolomite reservoirs: porosity evolution and reservoir characteristics, AAPG bulletin, v. 79(2), p. 186-204.
-Yale, D.P. and Jamieson, W.H.J., 1994. Static and Dynamic Properties of Carbonates. Rock Mechanics, P.P. Nelson and S.E. Laubach (eds.), Balkema, Rotterdam, The Netherlands, p. 463-472.
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