scholarly journals The Residual Potential of Bottom Water Reservoir Based upon Genetic Algorithm for the Relative Permeability Inversion

2019 ◽  
Vol 07 (04) ◽  
pp. 192-201
Author(s):  
Dong Zhang ◽  
Jie Tan ◽  
Dongdong Yang ◽  
Songru Mu ◽  
Qin Peng
2021 ◽  
pp. 1-27
Author(s):  
ping Yue ◽  
Jiantang Zhou ◽  
Li Xia Kang ◽  
Ping Liu ◽  
Jia Chunsheng ◽  
...  

Abstract Nowadays, different types of complex production wells are applied in challenging reservoirs in order to maximize oil recovery. A representative application is the fishbone multilateral horizontal wells, which have advantages of expanding the drainage area information and reducing the pressure loss in the long single lateral wellbore. This paper investigated the performance of fishbone wells and derived a wellbore and reservoir flow coupling model for fishbone multilateral wells in the bottom water reservoirs. The new model considered plenty of parameters that may have significant impacts on productivity and pressure drop in the well, including the fishbone structure, the main and branch wellbores' length, the spacing distance of the branch wellbores, wellbore radius, and preformation parameters. Furthermore, a sensitivity analysis example by the numerical method presented in this paper. Compared with other models, our coupling model, when it is degraded to horizontal well, is more consistent with the results of actual field situation. In another comparative analysis, the results of the new model with branches show a good match with the numerical simulation results by software. The proposed method in this paper can be used as a valuable tool to analyze the productivity, wellbore inflow profile, and pressure profile of the fishbone multilateral wells in the bottom water reservoir.


2012 ◽  
Vol 594-597 ◽  
pp. 2590-2597
Author(s):  
Liang Zhang ◽  
Yi Zuo Shi ◽  
Chang Hui Yan ◽  
Xiao Xiong Wu ◽  
Pan Zhao ◽  
...  

In block one of Tahe oil field, the Triassic Lower Oil Formation sand with a low-amplitude anticline has a characteristic of bottom water reservoir and a uniform oil/water contact, bottom water is energetic, natural water drive, rock and fluid depletion drive. With the continuous development, oilfield has entered high water cut stage, bottom water coning is significant, oil well has rising of the water content and production decline. Summarized influencing factors of water production and water production mode in block one of Tahe oil field. According to water production factors of oil well, we draw four kinds of water production mode: water production mode of tectonic position, water production mode of poor fault-sealing prediction, water production mode of developed into inter-layers, water production mode of high specific inflow segments. Putting forward four kinds of water production mode provide a theoretical basis to control measures for high yield water of later oil well.


Author(s):  
Célio Maschio ◽  
Denis José Schiozer

This paper introduces a new methodology, combining a Genetic Algorithm (GA) with multi-start simulated annealing to integrate Geostatistical Realizations (GR) in data assimilation and uncertainty reduction process. The proposed approach, named Genetic Algorithm with Multi-Start Simulated Annealing (GAMSSA), comprises two parts. The first part consists of running a GA several times, starting with certain number of geostatistical realizations, and the second part consists of running the Multi-Start Simulated Annealing with Geostatistical Realizations (MSSAGR). After each execution of GA, the best individuals of each generation are selected and used as starting point to the MSSAGR. To preserve the diversity of the geostatistical realizations, a rule is imposed to guarantee that a given realization is not repeated among the selected individuals from the GA. This ensures that each Simulated Annealing (SA) process starts from a different GR. Each SA process is responsible for local improvement of the best individuals by performing local perturbation in other reservoir properties such as relative permeability, water-oil contact, etc. The proposed methodology was applied to a complex benchmark case (UNISIM-I-H) based on the Namorado Field, located in the Campos Basin, Brazil, with 500 geostatistical realizations and other 22 attributes comprising relative permeability, oil-water contact, and rock compressibility. Comparisons with a conventional GA algorithm are also shown. The proposed method was able to find multiple solutions while preserving the diversity of the geostatistical realizations and the variability of the other attributes. The matched models found by the GAMSSA method provided more reliable forecasts when compared with the matched models found by the GA.


2010 ◽  
Author(s):  
Jin Huo ◽  
Guoxin Shi ◽  
Jianguo Lu ◽  
Linxiang Sang ◽  
Jun Shi ◽  
...  

2013 ◽  
Vol 650 ◽  
pp. 664-666
Author(s):  
Lei Zhang ◽  
Guo Ming Liu

A12 oil and gas reservoirs in L Oilfield Carboniferous carbonate rocks of oil and gas bearing system, saturated with the gas cap and edge water and bottom water reservoir. The A12 oil and gas reservoir structure the relief of the dome-shaped anticline, oil, gas and water distribution controlled by structure, the gas interface -2785 meters above sea level, the oil-water interface altitude range -2940 ~-2980m, average-2960m. Average reservoir thickness of 23m, with a certain amount of dissolved gas drive and gas cap gas drive energy, but not very active edge and bottom water, gas cap drive index.


2013 ◽  
Vol 411-414 ◽  
pp. 486-491
Author(s):  
Yue Dong Yao ◽  
Yun Ting Li ◽  
Yuan Gang Wang ◽  
Ze Min Ji

It is the aim of this research to describe the horizontal well performance in different conditions, this paper firstly introduces 13 dimensionless variables to describe the influence factors of horizontal well performance in bottom water reservoir and calculates the range of all the variations from low to high level by making a statistics of the actual field data of the 23 horizontal wells, then establishes the oil recovery model with response surface method using a 3 level-13 variables Box-Behnken design (BBD) . Based on the evaluation model, single factor sensitivity and interaction analysis between any two factors are carried out. Finally, research on horizontal well in typical bottom water reservoirs indicates that the values calculated by the new evaluation model fit the actual field data, which proves that the evaluation model can provide criteria for the design or optimization of horizontal well development in a bottom water reservoir.


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