Integrated different methods (Lorenz, Lucia, Amaefule) in rock types and flow units identification of lower Miocene Razak Formation at Sarkhun gas field, Zagros basin, SE Iran
Subject Areas :
Mohammad Hossein
Saberi
1
Milad
Karampour.Hasanvand
2
Seyed Ali
Moallemi
3
Keywords: Razak Formation Flow Units, Rock Type, Rock Fabric, Lorenz method , Lucia method, Amaefule method. ,
Abstract :
One of the most important stages in the hydrocarbon reservoirs morphology is the identification of rocky type. In order to construct an efficient and correct model of a hydrocarbon reservoir, identification of rock types is one of the essential parameters in reservoir modeling. and its consequences are found in the identification of rock types. The aim of this study is to compare different methods of determining rocky type and understanding the hydraulic flow unit distributions in order to assess the quality of reservoir of Razak Formation with sandstone carbonate lithology, marl and anhydrite to San Oligocene to lower Miocene. In this research, the experimental results of porosity, permeability and capillary pressure curves for 84 samples with porous microscopic sections Related to a 46-meter drill bit in one of the important fields of southeast of Iran were analyzed. The petrographic studies were conducted to investigate the changes of the features in the reservoir section with Razak formation and resulted in the identification of eight microfeatures( The MF1 packstone and Wackstone are at a depth of 2829 meters- The MF2 is the grinstone packstone at a depth of 2844 meters-the MF3 is the wackstone mudstone at a depth 2856 meters-the MF4 is the grinstone at a depth 2859meters –the MF5 is the mudstone wackstone are at a depth2848 meters – the MF6 mudstone at a depth of 2838 meters the MF7is the wackstone mudstone at a depth 2840 meters- The MF8 is a wackstone with sandstone depth of 2831) meters- in open Marin lagoon and fluvial clastic systems. In order to determine the rocky species and assess the flow units based on the core analysis results, four petrophysical classes were identified using the Lucia method. The petrophysical category number 1 has the best reservoir quality and the fourth category has the weakest reservoir quality. Also, the flow units were identified and separated using Amalufee and Lorenz's methods. Based on the Amalufee method, in the reservoir section of the Razak Formation, seven flow units have been identified, the sixth and seventh stream units were the best and one was the weakest reservoir segments among the seven units of the flow. Also, based on the analysis of capillary curves, six rocky species were distinguished, based on which the rocky type number five and six have the best quality. Also, using Geology software cross-sections, it was revealed that the main part of this section is sandstone with clay. The presence of gas in the formation causes cross-sectional deformation of samples to the northwest cross-platform. Finally, with the combination of various data, it was found the fossil formation in the study area has five types of rock in which the number 4 rock has the best quality of reservoir and rock number 5 has the largest reservoir and the unit number six is the best.
[1] سفیداری.ا , دشتی .ع, کدخدایی . ع ، اسکندر ا. ا. ، 1394، مدل‌سازی گروه‌های رخساره‌ای بر اساس داده‌های زمین‌شناسی و پتروفیزیکی (لاگ‌های چاه‌پیمایی) در میدان گازی پارس جنوبی، پژوهش نفت، دوره 25، شماره 83، صفحه 82-95.#
[2] معلمی، س .ع, صالحی . م .ع ،زهدی . ا ، 1395، ژئوشیمی ماسه سنگ های سازند رازک، جنوب خاور حوضه رسوبی زاگرس: کاربرد در تعیین جایگاه زمین ساختی، سنگ مادر و هوازدگی دیرینه، علوم زمین، 286-265.#
[3] مطیعی .ه ، 1372، زمین شناسی ایران چینه شناسی زاگرس، انتشارات سازمان زمین شناسی، 583 صفحه.#
[4] ALAVI, M., 2004, Regional stratigraphy of the Zagros fold-thrust belt of Iran and its proforeland evolution.#
[5] ALIAKBARDOUST, E., & RAHIMPOUR-BONAB, H., 2013, Integration of rock typing methods for carbonate reservoir characterization. Journal of Geophysics and Engineering, 10(5).#
[6] 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. SPE Annual Technical Conference and Exhibition, (c).#
[7] AMEL, H., WANAS, H. A., JAFARIAN, A., AMEL, A., GHAZI, S., & CAJA, M. A., 2018, Sedimentary facies, sequence stratigraphy and diagenesis of mixed fluvial siliciclastic-marine carbonate deposits of the Lower Miocene Razak Formation at Sarkhun Gas Field, Zagros Basin, SE Iran: A linkage with reservoir quality. Marine and Petroleum Geology.#
[8] PITTMAN, E., 1992, Relationship of Porosity and Permeability to Various Parameters Derived from Mercury Injection-Capillary Pressure Curves for Sandstone. AAPG Bulletin, 76(2), 191at198.#
[9] FAVRE, G., 1974, the post asmari formation of southwest iran. Iooc Report No.#
[10] HEARN, C.L.; EBANKS, W.J.; RANGANATHAN, V., 1993, Geological factors influencing reservoir performance of the Hartzog Draw field, Wyoming. SPE.#
[11] JR, J. W. J., LUCIA, F. J., 2003, Predicting Permeability from Well Logs in Carbonates with a Link to Geology for Interwell Permeability Mapping, (August), 215–226.#
[12] LUCIA, F. J., 1995, Rock-Fabric / Petrophysical Classification of Carbonate Pore Space for Reservoir Characterization 1, 9(9), 1275–1300. #
[13] MAHJOUR, S. K., AL-ASKARI, M. K. G., & MASIHI, M., 2016, Flow-units verification, using statistical zonation and application of Stratigraphic Modified Lorenz Plot in Tabnak gas field. Egyptian Journal of Petroleum, 25(2), 215–220. #
[14] REZAEE, A. J. & E. K., 2006, Relationships between permeability, porosity and pore throat size in carbonate rocks using regression analysis and neural networks. Journal of Geophysics and Engineering, 3, 4.#
[15] MOKHTARI, M., FARD, I. A., BRAATHEN, A., & ALAVI, S. A., 2006, Interaction of the Zagros Fold – Thrust Belt and the Arabian-type, deep-seated folds in the Abadan Plain and the Dezful Embayment, SW Iran.#
[16] MOUSSAVI-HARAMI, R., MORADI, M., KHANEHBADA, M., ALI, & GHABEISHAVI, A., 2017, Rock typing using geological and petrophysical data in the Asmari reservoir. Journal of Petroleum Science and Engineering, 152(January), 523–537. #
[17] PORRAS, J. C., EPM, P., & CAMPOS, O., 2001, SPE 69458 Rock Typing: A Key Approach for Petrophysical Characterization and Definition of Flow Units, Santa Barbara Field, Eastern Venezuela Basin.#
[18] RIAZI, Z., 2018., Journal of Petroleum Science and Engineering Application of integrated rock typing and fl ow units identi fi cation methods for an Iranian carbonate reservoir. Journal of Petroleum Science and Engineering, 160, 483–497. #
[19] SHAHALIPOUR, G. R., JONEIDI, S., & HASANI, H., 2015, Feature Rock Typing, the New Approach in Heterogeneous Carbonate Reservoirs, (3).#
[20] SKALINSKI, M., & KENTER, J., 2015, Carbonate petrophysical rock typing: integrating geological attributes and petrophysical properties while linking with dynamic behaviour. Geological Society, London, Special Publications, 406(1), 229–259. #
[21] SKALINSKI, M., & MOSS, G.-Z., 2006, Defining and Predicting Rock Types in Carbonates - Preliminary Results from an Integrated Approach using Core and Log Data from the Tengiz Field. Society of Petrophysicists and Well-Log Analysts, 47(1), 16.#