title: A hybrid analytical/numerical model for the characterization of preferential flow path with non-Darcy flow.
abstract: Due to the long-term fluid-solid interactions in waterflooding, the tremendous variation of oil reservoir formation parameters will lead to the widespread evolution of preferential flow paths, thereby preventing the further enhancement of recovery efficiency because of unstable fingering and premature breakthrough. To improve oil recovery, the characterization of preferential flow paths is essential and imperative. In efforts that have been previously documented, fluid flow characteristics within preferential paths are assumed to obey Darcy's equation. However, the occurrence of non-Darcy flow behavior has been increasingly suggested. To examine this conjecture, the Forchheimer number with the inertial coefficient estimated from different empirical formulas is applied as the criterion. Considering a 10% non-Darcy effect, the fluid flow in a preferential path may do experience non-Darcy behavior. With the objective of characterizing the preferential path with non-Darcy flow, a hybrid analytical/numerical model has been developed to investigate the pressure transient response, which dynamically couples a numerical model describing the non-Darcy effect of a preferential flow path with an analytical reservoir model. The characteristics of the pressure transient behavior and the sensitivities of corresponding parameters have also been discussed. In addition, an interpretation approach for pressure transient testing is also proposed, in which the Gravitational Search Algorithm is employed as a non-linear regression technology to match measured pressure with this hybrid model. Examples of applications from different oilfields are also presented to illustrate this method. This cost-effective approach provides more accurate characterization of a preferential flow path with non-Darcy flow, which will lay a solid foundation for the design and operation of conformance control treatments, as well as several other Enhanced Oil Recovery projects.
authors.affiliation: Department of Petroleum Engineering, China University of Petroleum (East China), Qingdao, China.
authors.forename: Sen
authors.initials: S
authors.lastname: Wang
authors.affiliation: Department of Petroleum Engineering, China University of Petroleum (East China), Qingdao, China.
authors.forename: Qihong
authors.initials: Q
authors.lastname: Feng
authors.affiliation: Department of Petroleum Engineering, China University of Petroleum (East China), Qingdao, China.
authors.forename: Xiaodong
authors.initials: X
authors.lastname: Han
mesh_terms: D006801:Humans; D008962:Models, Theoretical; D014872:Water Movements