Reservoir rock typing of the Asmari Formation using integrating geological and petrophysical data for unraveling the reservoir heterogeneity: a case study from the Ramshir oilfield, southwest Iran

被引:9
|
作者
Sadeghi, Rahmat [1 ]
Moussavi-Harami, Reza [1 ]
Kadkhodaie, Ali [2 ]
Mahboubi, Asadollah [1 ]
Ashtari, Ahmad [3 ]
机构
[1] Ferdowsi Univ Mashhad, Fac Sci, Dept Geol, Mashhad, Razavi Khorasan, Iran
[2] Univ Tabriz, Fac Nat Sci, Earth Sci Dept, Tabriz, Iran
[3] Natl Iranian South Oil Co NISOC, Geophys Dept, Ahvaz, Iran
关键词
Ramshir oilfield; The Asmari reservoir; Electrofacies; Hydraulic flow unit; Diagenesis; Zagros Basin; HYDRAULIC FLOW UNITS; OLIGOCENE-LOWER-MIOCENE; FOLD-THRUST BELT; DEPOSITIONAL ENVIRONMENT; DEZFUL EMBAYMENT; PORE-FACIES; ZAGROS; EVOLUTION; FRAMEWORK; STRATIGRAPHY;
D O I
10.1007/s13146-021-00692-y
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
The Asmari Formation with Oligo-Miocene in age and a carbonate-siliciclastic lithology is considered as one of the main hydrocarbon reservoirs in the Zagros Basin of Iran. In this research, with the target of unraveling the reservoir heterogeneity, a comprehensive rock typing was performed using all available geological and petrophysical data. The procedure for reservoir rock typing was started with the identifying of sedimentary rock types derived from the description of cored intervals and the study of thin sections from 7 cored wells. These studies led to the identifying and classification of 12 sedimentary facies related to the inner, middle, and outer parts of a carbonate ramp platform. The statistical clustering algorithms were applied using Multi-Resolution Graph-based Clustering approach on well log data, resulting in the recognition of five electrofacies (EFs). Accordingly, five hydraulic flow units (HFUs), based on the flow zone indicator method were defined in the reservoir interval. A compatible relationship between EFs and HFUs demonstrates that changes in petrophysical attributes are mainly controlled by diagenetic features. By examining special core analysis data, appropriate capillary pressure curves were correlated with the identified reservoir rock types. The methodology used in this study shows the reservoir heterogeneity in addition to primary depositional texture is controlled by the effect of diagenetic processes such as compaction, cementation, dissolution, dolomitization, and fracturing. Dolomitization, dissolution, and fracturing are the main diagenetic processes, showing significant effect on increasing and improving the reservoir quality. According to the results, among different reservoir zones of the Asmari, zones 1, 2, 3, and 4 are considered as the most favorable zones from the reservoir quality and production point of view in the studied field.
引用
收藏
页数:28
相关论文
共 41 条
  • [1] Reservoir rock typing of the Asmari Formation using integrating geological and petrophysical data for unraveling the reservoir heterogeneity: a case study from the Ramshir oilfield, southwest Iran
    Rahmat Sadeghi
    Reza Moussavi-Harami
    Ali kadkhodaie
    Asadollah Mahboubi
    Ahmad Ashtari
    [J]. Carbonates and Evaporites, 2021, 36
  • [2] Rock typing using geological and petrophysical data in the Asmari reservoir, Aghajari Oilfield, SW Iran
    Moradi, Mostafa
    Moussavi-Harami, Reza
    Mahboubi, Asadollah
    Khanehbad, Mohammad
    Ghabeishavi, Ali
    [J]. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2017, 152 : 523 - 537
  • [3] Reservoir rock typing using integrating geological and petrophysical properties for the Asmari Formation in the Gachsaran oil field, Zagros basin
    Farshi, Mahdi
    Moussavi-Harami, Reza
    Mahboubi, Asadollah
    Khanehbad, Moahammad
    Golafshani, Tayebeh
    [J]. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2019, 176 : 161 - 171
  • [4] Reservoir rock typing and electrofacies characterization by integrating petrophysical properties and core data in the Bangestan reservoir of the Gachsaran oilfield, the Zagros basin, Iran
    Maldar, Ramin
    Ranjbar-Karami, Rasoul
    Behdad, Ali
    Bagherzadeh, Samira
    [J]. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2022, 210
  • [5] Determination of reservoir rock typing using integrating geological and petrophysical methods in one of the oil field in south-west of Iran
    Mohsenipour, Abouzar
    Soleimani, Bahman
    Zahmatkesh, Iman
    Veisi, Iman
    [J]. CARBONATES AND EVAPORITES, 2022, 37 (02)
  • [6] Determination of reservoir rock typing using integrating geological and petrophysical methods in one of the oil field in south-west of Iran
    Abouzar Mohsenipour
    Bahman Soleimani
    Iman Zahmatkesh
    Iman Veisi
    [J]. Carbonates and Evaporites, 2022, 37
  • [7] Reservoir heterogeneity and fracture parameter determination using electrical image logs and petrophysical data(a case study, carbonate Asmari Formation, Zagros Basin, SW Iran)
    Ghasem Aghli
    Reza MoussaviHarami
    Ruhangiz Mohammadian
    [J]. Petroleum Science., 2020, 17 (01) - 69
  • [8] Reservoir heterogeneity and fracture parameter determination using electrical image logs and petrophysical data (a case study, carbonate Asmari Formation, Zagros Basin, SW Iran)
    Aghli, Ghasem
    Moussavi-Harami, Reza
    Mohammadian, Ruhangiz
    [J]. PETROLEUM SCIENCE, 2020, 17 (01) : 51 - 69
  • [9] Reservoir heterogeneity and fracture parameter determination using electrical image logs and petrophysical data(a case study, carbonate Asmari Formation, Zagros Basin, SW Iran)
    Ghasem Aghli
    Reza Moussavi?Harami
    Ruhangiz Mohammadian
    [J]. Petroleum Science, 2020, (01) : 51 - 69
  • [10] A case study of petrophysical rock typing and permeability prediction using machine learning in a heterogenous carbonate reservoir in Iran
    Erfan Mohammadian
    Mahdi Kheirollahi
    Bo Liu
    Mehdi Ostadhassan
    Maziyar Sabet
    [J]. Scientific Reports, 12