Influencing factors and identification method of low-resistivity pay zone in Jurassic, Huanxian area, Ordos Basin

被引:0
作者
Guo, Jingzhe [1 ,2 ]
Wang, Yuxia [1 ,2 ]
Li, Ya [3 ]
Xi, Mingli [4 ]
机构
[1] Northwest Univ, Dept Geol, Xian, Peoples R China
[2] Northwest Univ, State Key Lab Continental Dynam, Xian, Peoples R China
[3] PetroChina Changqing Oil Field Co Ltd, Explorat & Dev Res Inst, Xian, Peoples R China
[4] PetroChina Changqing Oil Field Co Ltd, Dev Dept, Xian, Peoples R China
来源
INTERPRETATION-A JOURNAL OF SUBSURFACE CHARACTERIZATION | 2022年 / 10卷 / 03期
关键词
RESERVOIRS; LOGS; FLOW;
D O I
10.1190/INT-2021-0227.1
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Huanxian area is in the west of the Ordos Basin and contains a widely distributed Jurassic low-resistivity pay zone. Due to the lack of a systematic summary of the influencing factors of the Jurassic low-resistivity pay zone in this location, oilfield engineers have not established a logging rapid identification method, increasing the complexity of oilfield exploration and development. Therefore, we reveal the main influencing factors and propose a corresponding logging identification method. Through a groundwater chemical composition test, phase permeability experiment, cast thin-section analysis, seismic data, and logging data, we have obtained the groundwater salinity, irreducible water saturation, clay mineral content, tectonic amplitude, and resistivity and apparent resistivity index of sandstone. The results of the correlation analysis indicated that the groundwater salinity is the main control factor for the development of the Jurassic low-resistivity pay zone in the study area, whereas other factors (such as irreducible water saturation) are secondary influencing factors. We have created a crossplot for groundwater salinity versus sandstone resistivity to identify the Jurassic low-resistivity pay zone based on clarifying the main control factor. The identification accuracy of this crossplot has reached approximately 65% through oil testing conclusions in the study area. To further improve the application, we have replaced sandstone resistivity with an apparent resistivity index in the crossplot. As a result, we have improved the identification accuracy of the Jurassic low-resistivity pay zone to more than 80%, which can meet the production demand. The results of this study can provide technical support for the exploration and development of the Jurassic low-resistivity pay zone, which is significant for optimizing various oil and gas resource production structures and coproduction methods in this location.
引用
收藏
页码:SJ55 / SJ66
页数:12
相关论文
共 37 条
  • [11] Logging Characteristics and Identification Methods of Low Resistivity Oil Layer: Upper Cretaceous of the Third Member of Qingshankou Formation, Daqingzijing Area, Songliao Basin, China
    Feng, Congjun
    Gingras, Murray
    Sun, Mengsi
    Wang, Bing
    [J]. GEOFLUIDS, 2017,
  • [12] [冯渊 Feng Yuan], 2020, [新疆石油地质, Xinjiang Petroleum Geology], V41, P237
  • [13] [高春云 Gao Chunyun], 2019, [地质科技情报, Geological Science and Techology Information], V38, P121
  • [14] Genesis analysis and identification of low-resistivity contrast oil-bearing reservoirs: a case study in the Triassic Chang 3 Member of the Yanchang Formation in Pengyang Region, Southwestern Ordos Basin, China
    Li G.
    Liu D.
    Wang Y.
    Yu X.
    Qu Y.
    Guo H.
    [J]. Arabian Journal of Geosciences, 2021, 14 (16)
  • [15] Pore-scale network modeling of microporosity in low-resistivity pay zones of carbonate reservoir
    Hakimov, Nijat
    Zolfaghari, Arsalan
    Kalantari-Dahaghi, Amirmasoud
    Negahban, Shahin
    Gunter, Gary
    [J]. JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2019, 71
  • [16] Analyzing the Origin of Low Resistivity in Gas-Bearing Tight Sandstone Reservoir
    Jiang, Yanjiao
    Zhou, Jian
    Fu, Xiaofei
    Cui, Likai
    Fang, Chao
    Cui, Jiangman
    [J]. GEOFLUIDS, 2021, 2021
  • [17] A review on pore structure characterization in tight sandstones
    Lai, Jin
    Wang, Guiwen
    Wang, Ziyuan
    Chen, Jing
    Pang, Xiaojiao
    Wang, Shuchen
    Zhou, Zhenglong
    He, Zhibo
    Qin, Ziqiang
    Fan, Xuqiang
    [J]. EARTH-SCIENCE REVIEWS, 2018, 177 : 436 - 457
  • [18] Application of nuclear magnetic resonance logging in the low-resistivity reservoir - Taking the XP area as an example
    Li, Zhaoping
    Gao, Chuqiao
    Zhao, Bin
    Guan, Yao
    Liu, Junyi
    [J]. INTERPRETATION-A JOURNAL OF SUBSURFACE CHARACTERIZATION, 2020, 8 (04): : T885 - T893
  • [19] [廖东良 Liao Dongliang], 2014, [西南石油大学学报.自然科学版, Journal of Southwest Petroleum University. Science & Technology Edition], V36, P39
  • [20] Factors Controlling Hydrocarbon Accumulation in Jurassic Reservoirs in the Southwest Ordos Basin, NW China
    Liu, Xin
    Wang, Feng
    Liu, Baojun
    Tian, Jingchun
    Shang, Ting
    Ma, Jiong
    Zhang, Zhongyi
    Zhang, Xiaolei
    [J]. ACTA GEOLOGICA SINICA-ENGLISH EDITION, 2020, 94 (02) : 467 - 484