Review of the productivity evaluation methods for shale gas wells

被引:7
作者
Huang, Yize [1 ,2 ,3 ]
Li, Xizhe [1 ,2 ,3 ]
Liu, Xiaohua [3 ]
Zhai, Yujia [4 ]
Fang, Feifei [5 ]
Guo, Wei [3 ]
Qian, Chao [3 ]
Han, Lingling [1 ,2 ]
Cui, Yue [1 ,2 ]
Jia, Yuze [1 ,2 ]
机构
[1] Univ Chinese Acad Sci, Beijing 10049, Peoples R China
[2] Chinese Acad Sci, Inst Porous Flow & Fluid Mech, Langfang 06500, Peoples R China
[3] PetroChina Res Inst Petr Explorat & Dev, Beijing 100083, Peoples R China
[4] PetroChina Changqing Oilfield Co, Xian 710018, Shaanxi, Peoples R China
[5] Chongqing Univ Sci & Technol, Sch Petr Engn, Chongqing 401331, Peoples R China
关键词
Shale gas; Productivity evaluation method; Production decline analysis; Transport mechanisms; EUR; NATURALLY FRACTURED RESERVOIR; DECLINE ANALYSIS; HORIZONTAL-WELL; MODEL; CURVE; FLOW; OIL; BEHAVIOR;
D O I
10.1007/s13202-023-01698-z
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 influence of geological and engineering factors results in the complex production characteristics of shale gas wells. The productivity evaluation method is effective to analyze the production decline law and estimate the ultimate recovery in the shale gas reservoir. This paper reviews the production decline method, analytical method, numerical simulation method, and machine learning method. which analyzes the applicable conditions, basic principles, characteristics, and limitations of different methods. The research found that the production decline method can mainly account for the gas well production and pressure data by fitting type curve analysis. The analytical method is able to couple multiple transport mechanisms and quantify the impact of different mechanisms on shale gas well productivity. Numerical simulation builds multiple pore media in shale gas reservoirs and performs production dynamics as well as capacity prediction visually. Machine learning methods are a nascent approach that can efficiently use available production data from shale gas wells to predict productivity. Finally, the research discusses the future directions and challenges of shale gas well productivity evaluation methods.
引用
收藏
页码:25 / 39
页数:15
相关论文
共 93 条
[1]   Analyzing well production data using combined-type-curve and decline-curve analysis concepts [J].
Agarwal, RG ;
Gardner, DC ;
Kleinsteiber, SW ;
Fussell, DD .
SPE RESERVOIR EVALUATION & ENGINEERING, 1999, 2 (05) :478-486
[2]   A dynamic prediction model of pressure-control production performance of shale gas fractured horizontal wells and its application [J].
Ailin, Jia ;
Yunsheng, Wei ;
Cheng, Liu ;
Junlei, Wang ;
Yadong, Qi ;
Chengye, Jia ;
Bo, Li .
NATURAL GAS INDUSTRY B, 2020, 7 (01) :71-81
[3]  
Ali TA., 2015, SPE E REG M, DOI [10.2118/177299-MS, DOI 10.2118/177299-MS]
[4]   ANALYSIS OF DECLINE CURVES [J].
ARPS, JJ .
TRANSACTIONS OF THE AMERICAN INSTITUTE OF MINING AND METALLURGICAL ENGINEERS, 1945, 160 :228-247
[5]   MODELING FLUID-FLOW IN FRACTURED POROUS ROCK MASSES BY FINITE-ELEMENT TECHNIQUES [J].
BACA, RG ;
ARNETT, RC ;
LANGFORD, DW .
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, 1984, 4 (04) :337-348
[6]  
Behmanesh H, 2021, SPE AAPG SEG AS PAC, DOI [10.15530/AP-URTEC-2021-208361, DOI 10.15530/AP-URTEC-2021-208361]
[7]  
Bello Rasheed Olusehun., 2010, N AFR TECHN C EXH CA, DOI DOI 10.2118/126754-MS
[8]  
Blasingame T.A., 1991, SOC PETROLEUM ENG, DOI [10.2118/21513-MS, DOI 10.2118/21513-MS]
[9]  
Brohi I., 2011, SPE W N AM REG MEET, DOI DOI 10.2118/144057-MS
[10]   Practical Solutions for Pressure-Transient Responses of Fractured Horizontal Wells in Unconventional Shale Reservoirs [J].
Brown, M. ;
Ozkan, E. ;
Raghavan, R. ;
Kazemi, H. .
SPE RESERVOIR EVALUATION & ENGINEERING, 2011, 14 (06) :663-676