title: Numerical well testing interpretation model and applications in crossflow double-layer reservoirs by polymer flooding.
abstract: This work presents numerical well testing interpretation model and analysis techniques to evaluate formation by using pressure transient data acquired with logging tools in crossflow double-layer reservoirs by polymer flooding. A well testing model is established based on rheology experiments and by considering shear, diffusion, convection, inaccessible pore volume (IPV), permeability reduction, wellbore storage effect, and skin factors. The type curves were then developed based on this model, and parameter sensitivity is analyzed. Our research shows that the type curves have five segments with different flow status: (I) wellbore storage section, (II) intermediate flow section (transient section), (III) mid-radial flow section, (IV) crossflow section (from low permeability layer to high permeability layer), and (V) systematic radial flow section. The polymer flooding field tests prove that our model can accurately determine formation parameters in crossflow double-layer reservoirs by polymer flooding. Moreover, formation damage caused by polymer flooding can also be evaluated by comparison of the interpreted permeability with initial layered permeability before polymer flooding. Comparison of the analysis of numerical solution based on flow mechanism with observed polymer flooding field test data highlights the potential for the application of this interpretation method in formation evaluation and enhanced oil recovery (EOR).
authors.affiliation: MOE Key Laboratory of Petroleum Engineering, China University of Petroleum, Beijing 102249, China.
authors.forename: Haiyang
authors.identifier: 0000-0001-6998-5301
authors.initials: H
authors.lastname: Yu
authors.affiliation: MOE Key Laboratory of Petroleum Engineering, China University of Petroleum, Beijing 102249, China.
authors.forename: Hui
authors.initials: H
authors.lastname: Guo
authors.affiliation: MOE Key Laboratory of Petroleum Engineering, China University of Petroleum, Beijing 102249, China.
authors.forename: Youwei
authors.initials: Y
authors.lastname: He
authors.affiliation: MOE Key Laboratory of Petroleum Engineering, China University of Petroleum, Beijing 102249, China.
authors.forename: Hainan
authors.identifier: 0000-0002-5662-2277
authors.initials: H
authors.lastname: Xu
authors.affiliation: MOE Key Laboratory of Petroleum Engineering, China University of Petroleum, Beijing 102249, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Li
authors.affiliation: Department of Petroleum Engineering, University of Texas at Austin, Austin, TX 78712, USA.
authors.forename: Tiantian
authors.identifier: 0000-0003-1011-3941
authors.initials: T
authors.lastname: Zhang
authors.affiliation: Research Institute of Exploration and Development, PetroChina, Korla 841000, China.
authors.forename: Bo
authors.identifier: 0000-0001-5109-4068
authors.initials: B
authors.lastname: Xian
authors.affiliation: Department of Petroleum Engineering, Texas A&M University, College Station, TX 77843, USA.
authors.forename: Song
authors.initials: S
authors.lastname: Du
authors.affiliation: MOE Key Laboratory of Petroleum Engineering, China University of Petroleum, Beijing 102249, China.
authors.forename: Shiqing
authors.initials: S
authors.lastname: Cheng
mesh_terms: D004058:Diffusion; D006801:Humans; D015233:Models, Statistical; D061329:Oil and Gas Fields; D010578:Petroleum / Q000032:analysis*; D011108:Polymers / Q000737:chemistry*; D012212:Rheology
chemical_list: D010578:Petroleum; D011108:Polymers