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

Abstract

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.

Research and Practice on Implementing Segmented Production Technology of Horizontal Well during Extra-High Water Cut Stage with Bottom Water Reservoir

“…The oilfield has returned to the limited-liquid production stage, and the fine adjustment of the production structure in the old area is difficult. (2) The geological characteristics of bottom water reservoirs lead to a rapid increase in water content in oil wells, with high-water-content oil wells accounting for over Processes 2024, 12, 1142 3 of 13 76%, as shown in Figure 1. During the ultra-high-water-content period, oil wells have high liquid production and energy consumption, making it difficult to tap the potential benefits.…”

“…The calculation of daily oil increase using the method of fixed production of liquid mainly involves summing the daily oil production after the measures and the increase in oil production from other old wells by adding liquid and then deducting the daily oil production before the measures, as shown in formula (2). Its physical meaning is that the daily liquid production before and after the measures is the same.…”

“…Processes 2024, 12, x FOR PEER REVIEW 10 In the formula, ΔQO is the increase in daily oil production, m 3 /d; QOA is the dail production after taking measures, m 3 /d; QLA is the daily liquid production after ta measures, m 3 /d; and fwB is the water cut before taking measures. The calculation of daily oil increase using the method of fixed production of li mainly involves summing the daily oil production after the measures and the increa oil production from other old wells by adding liquid and then deducting the dail production before the measures, as shown in formula (2). Its physical meaning is tha daily liquid production before and after the measures is the same.…”

“…In recent years, Jiang, X. F. et al [1][2][3][4][5][6][7] have proposed reservoir engineering methods for establishing a new model for the evaluation of horizontal wells in bottom water reservoirs, providing some application examples to directly simulate and predict the development process. Because the physical properties of reservoirs are different, some issues may exist, including water invasion and uncertain residual oil distributions, thereby resulting in a great challenge to improving the water-plugging measure effect.…”

“…At present, development practices have shown that there are mainly three problems in the development process of horizontal wells in bottom water reservoirs: Firstly, the existing technical means make it difficult to accurately describe the analysis of water outlet points along the horizontal well, the evolution law after water breakthrough, and the mechanism and model of water breakthrough in the development of horizontal wells in bottom water reservoirs. There is a lack of experimental means [1,2]. Secondly, the factors affecting the development are complex, and the testing data are limited for the horizontal wells in bottom water reservoirs [15].…”