The Study on Oil Recovery of Matrix System in Fractured Bottom-Water Oil Reservoirs

2013 ◽  
Vol 295-298 ◽  
pp. 3232-3236
Author(s):  
Guo Qing Feng ◽  
Yang Zhao
Keyword(s):  
Oil Recovery ◽  
Bottom Water ◽  
Material Balance ◽  
Water Reservoir ◽  
Oil Reservoirs ◽  
Balance Theory ◽  
Fracture System ◽  
Matrix System ◽  
Matrix Porosity

Fracture and matrix porosity are two porosity systems in fractured bottom-water reservoir. Knowing the oil recovery in matrix system provides guidance for the later development of the reservoir. Using material balance theory, and combining with Leverett function, oil recovery of matrix and fracture system are calculated respectively, and the ultimate oil recovery of matrix system is predicted.

scholarly journals Study on mechanism of spontaneous imbibition and pressurized imbibition in shale oil reservoirs

2020 ◽  
Author(s):  
Lanlan Yao ◽  
Zhengming Yang ◽  
Haibo Li ◽  
Bo Cai ◽  
Chunming He ◽  
...  
Keyword(s):  
Oil Recovery ◽  
Spontaneous Imbibition ◽  
Oil Reservoirs ◽  
Recovery Ratio ◽  
Shale Oil ◽  
Fracture System ◽  
Matrix System ◽  
Jianghan Basin ◽  
Shale Oil Reservoirs ◽  
Shale Permeability

AbstractImbibition is one of the important methods of oil recovery in shale oil reservoirs. At present, more in-depth studies have been carried out on the fracture system and matrix system, and there are few studies on the effect of energy enhancement on imbibition in shale oil reservoirs. Therefore, based on the study of pressurized imbibition and spontaneous imbibition of shale oil reservoirs in Qianjiang Sag, Jianghan Basin, nuclear magnetic resonance technology was used to quantitatively characterize the production degree of shale and pore recovery contribution under different imbibition modes, and analyze the imbibition mechanism of shale oil reservoirs under the condition of energy enhancement. The experimental results showed that with the increase in shale permeability, the recovery ratio of pressurized imbibition also increased. The rate of pressurized imbibition was higher than spontaneous imbibition, and pressurized imbibition can increase the recovery ratio of fractured shale. Spontaneous imbibition can improve the ultimate recovery ratio of matrix shale. Pressurized imbibition can increase the recovery contribution of macroporous and mesoporous.

Reservoir and Wellbore Flow Coupling Model for Fishbone Multilateral Wells in Bottom Water Drive Reservoirs

2021 ◽  
pp. 1-27
Author(s):  
ping Yue ◽  
Jiantang Zhou ◽  
Li Xia Kang ◽  
Ping Liu ◽  
Jia Chunsheng ◽  
...  
Keyword(s):  
Oil Recovery ◽  
Bottom Water ◽  
Water Reservoir ◽  
Pressure Profile ◽  
Coupling Model ◽  
New Model ◽  
Flow Coupling ◽  
Field Situation ◽  
Production Wells ◽  
Actual Field

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.

A New Model for Evaluation of Horizontal Well in Bottom Water Reservoirs

2013 ◽  
Vol 411-414 ◽  
pp. 486-491
Author(s):  
Yue Dong Yao ◽  
Yun Ting Li ◽  
Yuan Gang Wang ◽  
Ze Min Ji
Keyword(s):  
Oil Recovery ◽  
Field Data ◽  
Horizontal Well ◽  
Bottom Water ◽  
Interaction Analysis ◽  
Evaluation Model ◽  
Water Reservoir ◽  
Well Performance ◽  
Water Reservoirs ◽  
Actual Field

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.

Improved Oil Recovery of Edge and Bottom Water Reservoir by Drilling Horizontal Sidetracks

2000 ◽  
Author(s):  
Hongyin Zheng ◽  
Peimao Zhang
Keyword(s):  
Oil Recovery ◽  
Bottom Water ◽  
Water Reservoir ◽  
Improved Oil Recovery

scholarly journals Comparative Study of Oil Recovery Factor Determination for Edge and Bottom Water Drive Mechanism Using Water Influx Models

2021 ◽  
Vol 6 (5) ◽  
pp. 1-9
Author(s):  
C. G. J. Nmegbu ◽  
Orisa F. Ebube ◽  
Emmanuel Aniedi Edet
Keyword(s):  
Oil Recovery ◽  
History Matching ◽  
Bottom Water ◽  
Research Work ◽  
Relative Size ◽  
Material Balance ◽  
Recovery Factor ◽  
Production Data ◽  
Percentage Increase ◽  
Average Percentage

The purpose of this research work is to comparatively study the oil recovery factor from two major aquifer geometry (Bottom and Edge water aquifer) using water aquifer model owing to the fact that most if not every reservoir is bounded by a water aquifer with relative size content (Most Large). These aquifers are pivotal in oil recovery factor (percent%), Cumulative oil produced (MMSTB) as well as overall reservoir performance the methodology utilized in this study involves; Identification of appropriate influx models were utilized for aquifer characterization. The characterizes of the Niger Delta reservoir aquifer considered include aquifer permeability, aquifer porosity etc. Estimation of aquifer properties is achieved by using regressed method in Material Balance Software (MBAL). This approach involves History Matching of average reservoir pressure with computed pressure of the reservoir utilizing production data and PVT data. The computed pressure from model is history matched by regressing most uncertain parameters in aquifer such as aquifer size, permeability, and porosity. Historic production data was imputed into the MBAL Tank Model, the production data was matched with the model simulation by regressing on rock and fluid parameters with high uncertainty. The match parameters were recorded as the base parameter and other sensitivity on aquifer parameters using the Fetkovich model for the bottom and edge water drive. The average percentage increase in oil cumulative volume was 0.40% in fovour of bottom water drive. Further sensitivity on cumulative oil recovered showed the increase in reservoir size with increasing aquifer volumes increases oil production exponentially in bottom water drive whereas edge water drive increased linearly. Aquifer volume, aquifer permeability showed linear relationship with bottom and edge water drive.

Systematic Evaluation on Horizontal well Performance in Bottom Water Reservoir

2013 ◽  
Vol 411-414 ◽  
pp. 3129-3133 ◽  
Author(s):  
Yun Ting Li ◽  
Yue Dong Yao ◽  
Tao Peng ◽  
Dan Sang ◽  
Xiang Chun Wang
Keyword(s):  
Oil Recovery ◽  
Horizontal Well ◽  
Bottom Water ◽  
Water Reservoir ◽  
Systematic Evaluation ◽  
Research Trend ◽  
Well Performance ◽  
Key Factors ◽  
Water Breakthrough ◽  
Calculation Results

Development of bottom water reservoir with horizontal well can effectively slow down water coning and avoid early water breakthrough in oil wells, which promotes the extensive application of horizontal well in bottom water reservoir. In this paper, literatures about horizontal well are investigated, and the latest research trend is summarized. All factors such as reservoirs, fluid property and production mode to influence horizontal well performance in bottom water reservoir are systematically studied by using reservoir numerical simulation. Based on the calculation results of reservoir parameters of the pilot area, comprehensive analysis to the key factors which affecting horizontal well performance is carried out and the influence degree of various factors on oil recovery is obtained. In a word, the research results in this paper can provide criteria for the design or optimization of horizontal well development in bottom water reservoir.

scholarly journals A Novel Mathematical Model for Fracturing Effect Evaluation Based on Early Flowback Data in Shale Oil Reservoirs

Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yuhan Wang ◽  
Zhengdong Lei ◽  
Zhenhua Xu ◽  
Jie Liu ◽  
Xiaokun Zhang ◽  
...  
Keyword(s):  
Physical Model ◽  
Hydraulic Fracture ◽  
Material Balance ◽  
Oil Wells ◽  
Oil Reservoirs ◽  
Shale Oil ◽  
Fracture System ◽  
Fracture Parameters ◽  
Shale Oil Reservoirs ◽  
Water Ratio

For shale oil reservoirs, the horizontal well multistage fracturing technique is mostly used to reform the reservoir in order to achieve economic and effective development. The size of the reservoir reconstruction volume and the quantitative characterization of the fracture system are of great significance to accurately predict the productivity of shale oil wells. There are few flowback models for shale oil reservoirs. To solve this problem, first, a physical model of the simultaneous production of oil, gas, and water in the early flowback stage of shale oil development is established using the material balance equation for a fracture system. Second, the physical model of the underground fracture system is simplified, which is approximately regarded as a thin cylindrical body with a circular section. The flow of the fluid in the fracture system is approximately regarded as radial flow. In this model, the expansion of the fluid and the closure of the fracture are defined as integrated storage coefficients to characterize the storage capacity of the fracture system. Then, the curves illustrating the relationships between the oil-water ratio and the cumulative oil production and between the gas-water ratio and the cumulative gas production are drawn, and the curves are used to divide the flowback stage into an early stage and a late stage because the flowback process of shale oil wells exhibits obvious stage characteristics. Finally, the reservoir reconstruction volume and the related hydraulic fracture parameters are estimated based on the material balance method, and the rationality of the model is verified via numerical simulation. The interpretation results of this novel model are more accurate, making it an effective way to evaluate the hydraulic fracture parameters and transformation effect, and it has guiding significance for the evaluation of the hydraulic fracturing effect in the field.

Investigation of Well Production Mechanism in Heavy Oil Reservoirs Underlain by Strong Bottom Water

2016 ◽  
Author(s):  
Wenting Qin ◽  
Andrew K. Wojtanowicz ◽  
Pingya Luo
Keyword(s):  
Analytical Solution ◽  
Oil Recovery ◽  
Heavy Oil ◽  
Bottom Water ◽  
Oil Reservoirs ◽  
Recovery Factor ◽  
Recovery Efficiency ◽  
Drainage Radius ◽  
Heavy Oil Reservoirs ◽  
Water Coning

Low recovery factor is identified as the main problem encountered in the heavy oil production from a strong bottom-water-drive reservoir. Unlike for conventional oils, where the expected recovery from such reservoirs could be very high — in excess of 50 percent, the expected recovery factor in heavy oil water-driven reservoirs is less than 20 percent. In this study, a qualitative analysis of the well productivity mechanisms specific for heavy oil reservoirs with bottom water is provided. The objective is to understand what make the production of heavy oil different to that of lighter oils, identify the mechanism that mostly hamper the well’s productivity and recovery efficiency. Many believe the by-passed oil due to water coning is the major cause of low ultimate oil recovery in heavy oils underlain by strong bottom water. However, in this paper, we identify another important parameter affecting recovery efficiency in such reservoirs, which hasn’t been recognized by others and its effect on recovery process is significant. The mathematic modeling and numerical study lead to a new finding: due to the aquifer’s influence on pressure response in reservoir, a no-flow boundary at xi is established, where xi is often much smaller than that of the actual reservoir size xe. The oil out to the distance xi is immobile and become bypassed oil, which accounts for large amount of the OOIP. Even the water coning can be effective controlled; the ultimate oil recovery factor will not be improved significantly if the small mobilized oil zone can’t be enlarged. An analytical solution is derived in this paper to calculate the actual drainage radius. The validity of this analytical solution is confirmed by numerical simulation runs.

Experimental study on lateral flooding for enhanced oil recovery in bottom-water reservoir with high water cut

2019 ◽  
Vol 174 ◽  
pp. 747-756 ◽  
Author(s):  
Qing You ◽  
Quanyi Wen ◽  
Jichao Fang ◽  
Min Guo ◽  
Qingsheng Zhang ◽  
...  
Keyword(s):  
Experimental Study ◽  
Enhanced Oil Recovery ◽  
Oil Recovery ◽  
Bottom Water ◽  
Water Reservoir ◽  
High Water ◽  
High Water Cut ◽  
Water Cut
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