A new method for characterizing dynamic reservoir quality: Implications for quality maps in reservoir simulation and rock type classification

被引:3
|
作者
Mirzaei-Paiaman, Abouzar [1 ]
Ghanbarian, Behzad [2 ]
机构
[1] Univ Campinas UNICAMP, Campinas, SP, Brazil
[2] Kansas State Univ, Dept Geol, Porous Media Res Lab, Manhattan, KS 66506 USA
关键词
Reservoir rock quality; DRQI; TEM-Function; Relative permeability; Rock typing; Quality map; RELATIVE PERMEABILITY DATA; ARTIFICIAL NEURAL-NETWORK; SPONTANEOUS IMBIBITION; PETROPHYSICAL PROPERTIES; CAPILLARY-PRESSURE; WELL PLACEMENT; WETTABILITY; ATTRIBUTES; PREDICTION; FIELD;
D O I
10.1016/j.petrol.2022.111049
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Determining reservoir quality is vital in order to efficiently produce hydrocarbon and/or inject fluids for sec-ondary/tertiary recovery and carbon sequestration. In this study, we introduce a new approach and present dynamic reservoir quality index (DRQI). A high-quality reservoir would have high displacement (recovery) rate and displaceable (recoverable) saturation of oil. A modified true effective mobility (TEM) function is developed representing displacement rate of oil by an injected fluid (e.g., water or CO2). DRQI is defined as the area under modified TEM curve of oil and includes the well-known reservoir quality index (RQI) as its special case. A large dataset composed of 220 water displacing oil relative permeability experiments, conducted on limestone and dolomite rocks from three Iranian carbonate reservoirs, was used to investigate the potential relationships be-tween DRQI and other reservoir characteristics (e.g., irreducible water saturation, bulk irreducible water, maximum movable oil saturation, and bulk maximum movable oil) as well as quality indicators of RQI, flow zone indicator (FZI), and Winland r35. Results showed that irreducible water saturation and maximum movable oil saturation as well as their bulk variants may not be appropriate for characterizing multiphase quality of reser-voirs. Furthermore, the frequently-used single-phase rock quality indicators RQI, FZI, and Winland r35 were not found to be very accurate in characterization of dynamic reservoir quality. DRQI can be used in reservoir simulation studies as a criterion for defining quality maps, and in petrophysical tasks for rock typing and comparing between dynamic qualities (in terms of displacement rate and displaceable saturation of oil) of rock samples.
引用
收藏
页数:16
相关论文
共 50 条
  • [41] Pore Type Classification on Carbonate Reservoir in Offshore Sarawak using Rock Physics Model and Rock Digital Images
    Lubis, L. A.
    Harith, Z. Z. T.
    2013 INTERNATIONAL CONFERENCES ON GEOLOGICAL, GEOGRAPHICAL, AEROSPACE AND EARTH SCIENCES (AEROEARTH 2013), 2014, 19
  • [42] Diagenetic studies of the Cretaceous turbidities, Sulaiman Range, Pakistan: Implications for reservoir quality
    Wadood, Bilal
    Awais, Muhammad
    Khan, Suleman
    Ahmad, Sajjad
    Ahma, Laeiq
    Muslim, Muhammad
    JOURNAL OF HIMALAYAN EARTH SCIENCES, 2019, 52 (01): : 106 - 119
  • [43] Effects of bubbling operations on a thermally stratified reservoir: implications for water quality amelioration
    Fernandez, R. L.
    Bonansea, M.
    Cosavella, A.
    Monarde, F.
    Ferreyra, M.
    Bresciano, J.
    WATER SCIENCE AND TECHNOLOGY, 2012, 66 (12) : 2722 - 2730
  • [44] Evaluation of Reservoir Water Quality Based on Fuzzy Comprehensive Evaluation Method
    Lu, Pingyu
    Han, Xinyue
    Han, Nana
    Luo, Huihuang
    PROCEEDINGS OF THE WORLD CONFERENCE ON INTELLIGENT AND 3-D TECHNOLOGIES, WCI3DT 2022, 2023, 323 : 159 - 167
  • [45] METHOD OF PREDICTING RESERVOIR QUALITY FOR FELDSPATHIC SANDSTONES OF SOUTHERN-CALIFORNIA
    DIXON, SA
    KIRKLAND, DW
    AAPG BULLETIN-AMERICAN ASSOCIATION OF PETROLEUM GEOLOGISTS, 1985, 69 (01): : 143 - 143
  • [46] A new insight to access carbonate reservoir quality using quality factor and velocity deviation log
    Larki, Ehsan
    Jaffarbabaei, Bijan
    Soleimani, Bahman
    Elyasi, Ayub
    Saberi, Fatemeh
    Makarian, Esmael
    Shad Manaman, Navid
    Radwan, Ahmed E.
    ACTA GEOPHYSICA, 2024, 72 (05) : 3159 - 3178
  • [47] Water Quality Variation Law and Prediction Method of a Small Reservoir in China
    Yu, Yu
    Bai, Yu
    Ni, Yingying
    Luo, Yi
    Junejo, Shafique
    SUSTAINABILITY, 2022, 14 (21)
  • [48] A modified stratification index method to assess reservoir water quality trends
    Summers, Emily J.
    Ryder, Jodi L.
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2024, 354
  • [49] Controls on Reservoir Heterogeneity of a Shallow-Marine Reservoir in Sawan Gas Field, SE Pakistan: Implications for Reservoir Quality Prediction Using Acoustic Impedance Inversion
    Ashraf, Umar
    Zhang, Hucai
    Anees, Aqsa
    Ali, Muhammad
    Zhang, Xiaonan
    Shakeel Abbasi, Saiq
    Nasir Mangi, Hassan
    WATER, 2020, 12 (11) : 1 - 23
  • [50] A new method for classification of power quality
    Yang, G. H.
    Qu, B.
    ICIEA 2008: 3RD IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, PROCEEDINGS, VOLS 1-3, 2008, : 1916 - 1920