Three-dimensional physical simulation of water huff-n-puff in a tight oil reservoir with stimulated reservoir volume

Author(s):  
Ke Sun ◽  
Huiqing Liu ◽  
Jing Wang ◽  
Xiongjun Wei ◽  
Liangyu Ma ◽  
...  
2014 ◽  
Author(s):  
H.. Wang ◽  
X.. Liao ◽  
H.. Ye ◽  
X.. Zhao ◽  
C.. Liao ◽  
...  

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.


2016 ◽  
Author(s):  
Peng Yi ◽  
Weng Dingwei ◽  
Xu Yun ◽  
Wang Liwei ◽  
Lu Yongjun ◽  
...  

2015 ◽  
Vol 89 (s1) ◽  
pp. 65-66
Author(s):  
Hongru LIANG ◽  
Shuangfang LU ◽  
Mingming TANG ◽  
Bihui YAN ◽  
Shan SHEN

2018 ◽  
Vol 6 (4) ◽  
pp. 339-343
Author(s):  
Zhongyi Xu ◽  
◽  
Linsong Cheng ◽  
Renyi Cao ◽  
Sidong Fang

2021 ◽  
pp. 1-24
Author(s):  
Xiaolong Chai ◽  
Leng Tian ◽  
Mengyuan Zhang ◽  
Hongzhi Shao ◽  
Jianguo Wang ◽  
...  

Abstract It is complex and obviously different for the production characteristics of CO2 water- alternating-gas flooding in tight reservoir and influenced by many factors. Therefore, the production prediction is a key matter of efficient development of CO2 water- alternating-gas to be solved in tight reservoirs. In order to solve this problem, in this paper, the production characteristics of CO2 water- alternating-gas flooding production well are analyzed and classified in tight oil reservoir of Block A as an example. On this basis, geological, fracturing operation and development factors are considered and the sensitivity of the influencing factors was carried out. The grey relation analysis(GRA) was used to screen the main influencing factors of poduction and establish the poduction evaluation model to realize the rapid prediction production. The results show that the wells of CO2 water- alternating-gas flooding in tight reservoirs can be divided into four types. The production is affected by permeability, reservoir thickness, amount of sand entering the ground, amount of liquid entering the ground, gas/water ratio, injection rate and injection pressure, and the main influencing factors of production are amount of sand entering the ground, reservoir thickness and amount of liquid entering the ground. The production of oil can be predicted quickly based on the relation between production and comprehensive evaluation factor of production. The average relative error between the predicted results and the actual predicted production is 8%, which proves the reliability and accuracy of this method.


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