Application of Discrete Fracture Network Model in the Simulation of Massive Fracking in Tight Oil Reservoir

2019 ◽  
pp. 1974-1983
Author(s):  
Shuai Li ◽  
Xin Wang ◽  
Bo Cai ◽  
Chunming He
Keyword(s):  
Network Model ◽  
Fracture Network ◽  
Discrete Fracture Network ◽  
Tight Oil ◽  
Oil Reservoir ◽  
Discrete Fracture ◽  
Tight Oil Reservoir

Development of Discrete Fracture Network Model Simulator, GeoFlow, for Evaluation of Three Dimensional Channeling Flow

2009 ◽  
Author(s):  
Takuya Ishibashi ◽  
Noriaki Watanabe ◽  
Nobuo Hirano ◽  
Atsushi Okamoto ◽  
Noriyoshi Tsuchiya
Keyword(s):  
Network Model ◽  
Three Dimensional ◽  
Fracture Network ◽  
Discrete Fracture Network ◽  
Discrete Fracture ◽  
Channeling Flow

The Performance Evaluation of Old Well after SRV in Ordos Basin Tight Oil Reservoir

2014 ◽  
Author(s):  
H.. Wang ◽  
X.. Liao ◽  
H.. Ye ◽  
X.. Zhao ◽  
C.. Liao ◽  
...  
Keyword(s):  
Evaluation Method ◽  
Ordos Basin ◽  
Fracture Network ◽  
Water Flooding ◽  
Tight Oil ◽  
Oil Reservoir ◽  
Well Test ◽  
Stimulated Reservoir Volume ◽  
Tight Oil Reservoir ◽  
Volume Fracturing

Abstract The technology of Stimulated reservoir volume (SRV) has been the key technology for unconventional reservoir development, it can create fracture network in formation and increase the contact area between fracture surface and matrix, thus realizing the three-dimensional stimulation and enhancing single well productivity and ultimate recovery. In China, the Ordos Basin contains large areas of tight oil reservoir with the porosity of 2~12 % and permeability of 0.01~1 mD. The most used development mode is conventional fracturing and water flooding, which is different from the natural depletion mode in oversea, but the development effect is still unfavorable. The idea of SRV is proposed in nearly two years in Changqing Oilfield. SRV measures are implemented in some old wells in tight oil formation. It is a significant problem that should be solved urgently about how to evaluate the volume fracturing effect. Based on the real cases of old wells with SRV measures, the microseismic monitoring is used to analyze the scale of formation stimulation and the complexity of fracture network after volume fracturing; the numerical well test and production data analysis (PDA) are selected to explain the well test data, to analyze the dynamic data, and to compare the changes of formation parameters, fluid parameters and plane streamlines before and after volume fracturing; then the interpretation results of well test with the dynamic of oil and water wells are combined to evaluate the stimulation results of old wells after SRV. This paper has presented a set of screening criteria and an evaluation method of fracturing effect for old well with SRV in tight oil reservoir. It will be helpful to the selection of candidate well and volume fracturing operation in Ordos Basin tight oil reservoir. It should be noted that the evaluation method mentioned in the paper can be expanded to volume stimulation effect evaluation in other unconventional reservoirs, such as tight gas, shale gas and so on.

A History Matching Framework to Characterize Fracture Network and Reservoir Properties in Tight Oil

2019 ◽  
Vol 142 (4) ◽  
Author(s):  
Xu Shiqian ◽  
Li Yuyao ◽  
Zhao Yu ◽  
Wang Sen ◽  
Feng Qihong
Keyword(s):  
History Matching ◽  
Fracture Network ◽  
Future Application ◽  
Tight Oil ◽  
Oil Reservoir ◽  
Fracture Permeability ◽  
Reservoir Properties ◽  
Matrix Permeability ◽  
Tight Oil Reservoir ◽  
Better Than

Abstract Accurately characterizing hydraulic fracture network and tight oil reservoir properties can lay the foundation for the production forecast and development design. In this work, we proposed a history matching framework for tight oil. We first use the Hough transform method to characterize complex fracture network from microseismic data. Then, we put the fracture network into an embedded discrete fracture model (EDFM) to build a tight oil reservoir simulation model. After that, we further couple whale optimization algorithm (WOA) and EDFM to match the field production data. In this way, we can accurately estimate reservoir properties, including matrix permeability and porosity, as well as fracture permeability. We apply the framework to two-field applications in China. One is fractured vertical well in the Songliao Basin of Daqing oilfield. The other one is multi-stage fractured horizontal well in the Jimsar Sag of the Xinjiang oilfield. Results show that if we do not consider tight oil characteristics, the estimated fracture permeability, matrix permeability, and matrix porosity will underestimate 73%, 20%, and 47%, respectively. Because we apply WOA to history matching for the first time, we compare the performance of WOA with ensemble–smoother with multiple data–assimilation (ES-MDA). When we fit six parameters, ES-MDA performs better than WOA. However, when we fit three parameters, WOA performs better than ES-MDA. In addition, for engineering problem, WOA performs well on both convergence speed and stability. Therefore, WOA is recommended in the future application of history matching.

Discrete fracture network model of the vapor zone leakages at the Copahue geothermal field

2020 ◽  
Vol 140 ◽  
pp. 104155 ◽  
Author(s):  
H. Barcelona ◽  
R. Maffucci ◽  
D. Yagupsky ◽  
M. Senger ◽  
S. Bigi
Keyword(s):  
Network Model ◽  
Fracture Network ◽  
Geothermal Field ◽  
Discrete Fracture Network ◽  
Discrete Fracture

scholarly journals Simulation of a multistage fractured horizontal well in a tight oil reservoir using an embedded discrete fracture model

2019 ◽  
Vol 7 (5) ◽  
pp. 1485-1503 ◽  
Author(s):  
Yu‐long Zhao ◽  
Ling‐fu Liu ◽  
Lie-hui Zhang ◽  
Xu‐Yang Zhang ◽  
Bo Li
Keyword(s):  
Horizontal Well ◽  
Fracture Model ◽  
Tight Oil ◽  
Oil Reservoir ◽  
Discrete Fracture Model ◽  
Fractured Horizontal Well ◽  
Discrete Fracture ◽  
Tight Oil Reservoir
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