Numerical simulation of 1-D oil and water displacements in petroleum reservoirs using the spectral finite volume method

Galindez-Ramirez, G.; Souza, M. R. A.; Carvalho, Darlan Karlo Elisiário de; Lyra, Paulo Roberto Maciel

doi:10.1007/s40430-017-0795-8

Cited by 6 publications

(1 citation statement)

References 36 publications

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“…In this section, we present a numerical model of two-phase flow for well test interpretation in a multiwell system firstly. When it comes to the differentiation of the partially differential flow equations, finite difference method [41][42][43][44][45][46][47][48] and finite volume method [49][50][51][52][53][54][55][56] are both commonly employed in solving fluid flow equation systems. However, in unstructured grids, formulating the finite volume method is much easier.…”

Section: Model Developmentmentioning

confidence: 99%

A Two-Phase Numerical Model of Well Test Analysis to Characterize Formation Damage in Near-Well Regions of Injection Wells

Zhang

Cheng

et al. 2021

Geofluids

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Formation damage usually occurs in near-well regions for injection wells completed in offshore oilfields under the development of line drive patterns. However, current works on characterizing the damage by well test analysis were basically focused on using single-phase analogy to solve two-phase flow issues, resulting in errors on the diagnosis and interpretation of transient pressure data. In this paper, we developed a two-phase model to simulate the pressure transient behavior of a water injection well in a multiwell system. To solve the model more efficiently, we used the finite volume method to discretize partially differential flow equations in a hybrid grid system, including both Cartesian and radial meshes. The fully implicit Newton-Raphson method was also employed to solve the equations in our model. With this methodology, we compared the resulting solutions with a commercial simulator. Our results keep a good agreement with the solutions from the simulator. We then graphed the solutions on a log-log plot and concluded that the effects of transitional zone and interwell interference can be individually identified by analyzing specific flow regimes on the plot. Further, seven scenarios were raised to understand the parameters which dominate the pressure transient behavior of these flow regimes. Finally, we showed a workflow and verified the applicability of our model by demonstrating a case study in a Chinese offshore oilfield. Our model provides a useful tool to reduce errors in the interpretation of pressure transient data derived from injection wells located in a line drive pattern.

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