Fracture and vug characterization and carbonate rock type automatic classification using X-ray CT images

被引:50
|
作者
Li, Binhui [1 ,3 ]
Tan, Xuequn [2 ]
Wang, Fuyong [1 ]
Lian, Peiqing [2 ]
Gao, Wenbin [1 ]
Li, Yiqiang [1 ]
机构
[1] China Univ Petr, Res Inst Enhanced Oil Recovery, Beijing 102249, Peoples R China
[2] SINOPEC, Petr Explorat & Prod Res Inst, Beijing 100083, Peoples R China
[3] Daqing Oilfield Co Ltd, Explorat & Dev Res Inst, Daqing 163712, Peoples R China
基金
中国国家自然科学基金;
关键词
Carbonate reservoir; X-ray CT; Image processing; Fracture and vug characterization; Support vector machine (SVM); COMPUTED-TOMOGRAPHY; PETROPHYSICAL PROPERTIES; RESERVOIR; POROSITY; PREDICTION; ALGORITHMS; PHYSICS; SCALE;
D O I
10.1016/j.petrol.2017.03.037
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
This paper presents a method of fracture and vug characterization and automatic classification of rock type in a naturally fractured vuggy carbonate reservoir using X-ray computed tomography (CT). First, using image processing technologies such as image segmentation, morphological processing and skeleton extraction, the fractures and vugs in the CT images of core plugs were characterized, and then, the characteristic parameters of the fractures and vugs were calculated. Then, a support vector machine (SVM) was utilized for automatic classification of the fractures and vugs. The shape and the eccentricity of fractures and vugs as the SVM training eigenvectors can effectively distinguish fractures from vugs with high classification confidence. Finally, with the characteristic parameters of fractures and vugs calculated from the CT images of core plugs, a new defined function of the carbonate rock index (CRI) was proposed, which can quantitatively classify the carbonate rock into three different types: matrix, fractured and vuggy. After analysis of more than 200 core plugs from the Y reservoir in the Middle East, the CRI values for matrix, vuggy and fractured carbonate rock were given and are 0 < CRI < 1, 1 <= CRI <= 10 and CRI > 10, respectively. A high CRI value indicates a high fracture density, and a small CRI value indicates that the carbonate rock is mainly matrix without fractures and vugs. For the vuggy carbonate core plug, the CRI value is in between those of fractured core plugs and matrix core plugs. Therefore, the value of CRI can quantitatively evaluate the heterogeneity of carbonate rock due to fractures and vugs. The field application of this method demonstrated that this new method can effectively characterize fractures and vugs and quantitatively classify the rock type of the naturally fractured vuggy carbonate reservoir.
引用
收藏
页码:88 / 96
页数:9
相关论文
共 50 条
  • [1] AUTOMATIC CLASSIFICATION OF MEDICAL X-RAY IMAGES
    Zare, Mohammad Reza
    Seng, Woo Chaw
    Mueen, Ahmed
    MALAYSIAN JOURNAL OF COMPUTER SCIENCE, 2013, 26 (01) : 9 - 22
  • [2] Understanding Automatic Pneumonia Classification Using Chest X-Ray Images
    Bruno, Pierangela
    Calimeri, Francesco
    AIXIA 2020 - ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 12414 : 37 - 50
  • [3] Automatic classification of medical X-ray images using a bag of visual words
    Zare, Mohammad Reza
    Mueen, Ahmed
    Seng, Woo Chaw
    IET COMPUTER VISION, 2013, 7 (02) : 105 - 114
  • [4] A combined feature set for automatic diaphyseal Tibial fracture classification from X-Ray images
    Swamy, V. Kumar
    Anami, Basavaraj S.
    Latte, Mrityunjaya, V
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2022, 71
  • [5] Automatic classification system for lumbar spine X-ray images
    Koompairojn, Soontharee
    Hua, Kien A.
    Bhadrakom, Chutima
    19TH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, PROCEEDINGS, 2006, : 213 - +
  • [6] STATIC ROCK CHARACTERIZATION OF ROCKS USING X-RAY COMPUTED TOMOGRAPHY CT
    Ortiz Meneses, Andres F.
    Plata Chaves, Jose M.
    Herrera Otero, Edwar
    Santos Santos, Nicolas
    FUENTES EL REVENTION ENERGETICO, 2015, 13 (01): : 57 - 63
  • [7] A basic study for automatic recognition of osteoporosis using abdominal X-ray CT images
    Nishihara, S
    Fujita, H
    Iida, T
    Takigawa, A
    Hara, T
    Zhou, XR
    MEDICAL IMAGING 2004: IMAGE PROCESSING, PTS 1-3, 2004, 5370 : 926 - 933
  • [8] Automatic Postmortem Human Identification using Collarbone of X-ray and CT Scan Images
    Cho, Hanni
    Zin, Thi Thi
    Shinkawa, Norihiro
    Nishii, Ryuichi
    Hama, Hiromitsu
    2018 IEEE 7TH GLOBAL CONFERENCE ON CONSUMER ELECTRONICS (GCCE 2018), 2018, : 551 - 552
  • [9] Automatic segmentation of pulmonary fissures in X-ray CT images using anatomic guidance
    Ukil, Soumik
    Sonka, Milan
    Reinhardt, Joseph M.
    MEDICAL IMAGING 2006: IMAGE PROCESSING, PTS 1-3, 2006, 6144
  • [10] Towards an automatic classification of spinal curves from x-ray images
    Duong, Luc
    Cheriet, Farida
    Labelle, Hubert
    Research into Spinal Deformities 5, 2006, 123 : 419 - 424