Favorable area prediction of tight sandstone: A case study of the He8 formation in the Kangning area, Eastern Ordos Basin, China

被引:12
作者
Liu Ling [1 ]
Tang Dazhen [2 ]
Wo Yujin [1 ]
Liu Lihui [3 ]
Sun Wei [1 ]
Lu Hongme [1 ]
Yekikang, Mbunkah Quentin [1 ]
机构
[1] Sinopec, Petr Explorat & Prod Res Inst, Beijing 100083, Peoples R China
[2] China Univ Geosci, Sch Energy Resource, Beijing 100083, Peoples R China
[3] Rockstar Petr Sci & Technol Ltd Co, Beijing 100192, Peoples R China
关键词
Tight sandstone; Pre-stack elastic parameters; Reservoir prediction; Hydrocarbon detection; Favorable area prediction; GAS; AVO; RESERVOIRS; VELOCITY;
D O I
10.1016/j.petrol.2018.12.069
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
The reservoirs of the Lower Permian He8 formation are typically tight sandstones, which have geologic features such as rapid lateral changes, strong heterogeneities and complex pore structures. Rock physics characteristics are similar between tight sandstones and mudstones, mean while fluid AVO characteristics are unclear. These factors make reservoir prediction and hydrocarbon detection become difficult. The keys to successful exploration are the effective elimination of non-reservoirs, including mudstones and ineffective tight sandstones, and the successful discovery of favorable areas. Rock physics analysis indicates that tight sandstone can be identified by V-p/V-s, while gas-bearing can be distinguished by fluid compressibility. In order to improve inversion accuracy, a new method of favorable area prediction is proposed. Firstly, predict sandstone boundary by V-p/V-s inversion under the control of sedimentary setting. Secondly, distinguish effective reservoirs and gas-bearing areas with porosity inversion and fluid compressibility inversion under the control of sandstone boundary. Finally, confirm favorable areas according to V-p/V-s, porosity and fluid compressibility. The tight sandstones of the He8 formation can be divided into three types. Favorable area I is the first choice of exploration, target followed by the favorable area II, whereas the unfavorable area III is not chosen as exploration target. The new method has achieved excellent results in the favorable area prediction of tight sandstone in the Kangning area and has significant implications for late exploration.
引用
收藏
页码:430 / 443
页数:14
相关论文
共 51 条
[1]   The accuracy of AVA approximations in isotropic media assessed via synthetic numerical experiments: Implications for the determination of porosity [J].
Abbasi, Fayyaz-Ur-Rehman ;
Ali, Aamir ;
Alves, Tiago M. ;
Rehman, Khaista .
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2018, 170 :563-575
[2]   Thermophysical properties of a fluid-saturated sandstone [J].
Abid, Muhammad ;
Hammerschmidt, Ulf ;
Koehler, Juergen .
INTERNATIONAL JOURNAL OF THERMAL SCIENCES, 2014, 76 :43-50
[3]  
Anderson J. K., 1996, SEG TECH PROGR EXPAN, V15, P2106
[4]  
ao Y. C., 2009, ACTA SEDIMENTOL SIN, V27, P230
[5]   Seismic noise attenuation by means of an anisotropic non-linear diffusion filter [J].
Baddari, Kamel ;
Ferahtia, Jalal ;
Aifa, Tahar ;
Djarfour, Noureddine .
COMPUTERS & GEOSCIENCES, 2011, 37 (04) :456-463
[6]   Acoustic impedance inversion by feedback artificial neural network [J].
Baddari, Kamel ;
Djarfour, Noureddine ;
Aifa, Tahar ;
Ferahtia, Jalal .
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2010, 71 (3-4) :106-111
[7]   Application of a radial basis function artificial neural network to seismic data inversion [J].
Baddari, Kamel ;
Aifa, Tahar ;
Djarfour, Noureddine ;
Ferahtia, Jalal .
COMPUTERS & GEOSCIENCES, 2009, 35 (12) :2338-2344
[8]   Bayesian linearized AVO inversion [J].
Buland, A ;
Omre, H .
GEOPHYSICS, 2003, 68 (01) :185-198
[9]   Third-order AVO inversion for lame parameter based on inverse operator estimation algorithm [J].
Cheng, Guang-Sen ;
Yin, Xing-Yao ;
Zong, Zhao-Yun .
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2018, 164 :117-126
[10]   Application of feedback connection artificial neural network to seismic data filtering [J].
Djarfour, Noureddine ;
Aifa, Tahar ;
Baddari, Karnel ;
Mihoubi, Abdelhafid ;
Ferahtia, Mal .
COMPTES RENDUS GEOSCIENCE, 2008, 340 (06) :335-344