Wensheng Zhou^1,2, Chen Liu^1,2, Deqiang Wang^1,2, Bin Wang³, Yaguang Qu^4,*

Energy Engineering, Vol.122, No.6, pp. 2337-2354, 2025, DOI:10.32604/ee.2025.062530 - 29 May 2025

Abstract The J oilfield in the Bohai has a long development history and has undergone comprehensive adjustment measures, including water injection and polymer injection. Following these adjustments, the injection and production well network now features coexistence of both polymer injection wells and water injection wells, which has negatively impacted production dynamics. Firstly, based on the adjusted reservoir well network in the J oilfield, a representative water-polymer co-injection well network was established. Subsequently, a numerical simulation model of this typical reservoir unit was developed using reservoir numerical simulation methods to confirm the interference issues associated with water-polymer More >

Yuhui Zhou^1,2,3,*, Shichang Ju⁴, Qijun Lyu⁴, Hongfei Chen⁴, Xuebiao Du⁴, Aiping Zheng⁴, Wenshun Chen⁴, Ning Li⁴

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.1, pp. 245-259, 2023, DOI:10.32604/fdmp.2023.019971 - 02 August 2022

Abstract It is known that the pore media characteristics of glutenite reservoirs are different from those of conventional sandstone reservoirs. Low reservoir permeability and naturally developed microfractures make water injection in this kind of reservoir very difficult. In this study, new exploitation methods are explored. Using a real glutenite reservoir as a basis, a three-dimensional fine geological model is elaborated. Then, combining the model with reservoir performance information, and through a historical fitting analysis, the saturation abundance distribution of remaining oil in the reservoir is determined. It is shown that, using this information, predictions can be More >

Zenglin Wang¹, Liaoyuan Zhang¹, Anhai Zhong², Ran Ding², Mingjing Lu^2,3,*

FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.6, pp. 1795-1804, 2022, DOI:10.32604/fdmp.2022.020020 - 27 June 2022

Abstract Due to the difficulties associated with preprocessing activities and poor grid convergence when simulating shale reservoirs in the context of traditional grid methods, in this study an innovative two-phase oil-water seepage model is elaborated. The modes is based on the radial basis meshless approach and is used to determine the pressure and water saturation in a sample reservoir. Two-dimensional examples demonstrate that, when compared to the finite difference method, the radial basis function method produces less errors and is more accurate in predicting daily oil production. The radial basis function and finite difference methods provide More >