Semi-Analytical Model for Two-Phase Flowback in Complex Fracture Networks in Shale Oil Reservoirs

Abstract

Flowback data is the earliest available data for estimating fracture geometries and the assessment of different fracturing techniques. Considerable attention has been paid recently to analyze flowback data quantitively in order to obtain fracture properties such as effective half-length and effective conductivity by simply assuming fractures having bi-wing planar geometries and constant fracture compressibility. However, this simplifying assumption ignores the complexity of fracture networks. To overcome this limitation, we proposed a semi-analytical method, which can be used as a direct model for fast inverse analysis to characterize complex fracture networks generated during hydraulic fracturing. A two-phase oil-water flowback model with a matrix oil influx for wells with bi-wing planar fractures is also presented to identify limitations of the former solution.Since most available flowback studies use constant fracture properties and the assumption of planar fractures, considering variable fracture properties and complex fracture geometries gives this model more robustness for modeling fracture flow during flowback, more realistically. The proposed models have been validated by numerical simulations. The presented procedure provides a simple way for modeling early flowback in complex fracture networks and it can be used for inverse analysis.

Mathematical Modeling of Fluid Flow and Heat Transfer in Petroleum Industries and Geothermal Applications

“…The pressures and the slamming effects are analyzed, and the frequency response is identified by the fast Fourier transformation technology. Cai and Dahi Taleghani [19] propose a semi-analytical method which can be used to characterize complex fracture networks generated during hydraulic fracturing. Their two-phase oil-water flowback model with a matrix oil influx for wells with bi-wing planar fractures can provide a simple way of studying early flowback in complex fracture networks.…”