作者: Behzad Pouladi , Mohammad Sharifi , Mohammad Reza Akbari , S.M. Hosseini-Nasab
DOI: 10.1016/J.PETLM.2018.07.001
关键词: Grid 、 Finite difference 、 Finite element method 、 Fluid dynamics 、 Computational science 、 Dynamic data 、 Fault (geology) 、 Numerical analysis 、 Fast marching method 、 Computer science
摘要: Abstract Fluid flow in hydrocarbon reservoirs and consequently optimum scenario for production, is heavily influenced by reservoir heterogeneities. Faults are one of the most common types heterogeneity found reservoirs. Leaky faults, baffles (limited extent faults) complex multiple fault geometries among complicated important faults that difficult to characterize. unlike sealing partial communication with other portions reservoir. Because faults' effect on connectivity possible infill drilling plan accessing all parts reservoirs, across must be precisely modeled. In order detect a within reservoir, we need analyze dynamic data. There few analytical methods modelling partially communicating however, these may not accurate enough limited application, especially situations. Numerical (i.e. finite difference or element) also computationally economical when large number grid blocks simulated. current work, Fast Marching Method (FMM) applied effectively mimic fluid heterogeneous areas, such as faults. It shown FMM can capture different configurations bottom hole pressure able linear, radial spherical flows.