Abstract
Abstract This paper presents a robust semi-analytical strategy to simulate natural fracture network system in heterogeneous tight formations. The natural fracture networking is modeled in a more realistically and physically sound manner that enables the capacity to treat actual fracture network data set likely to be acquired from field seismic survey and well logging/core interpretation. The source and sink function method was implemented extensively to study the natural setting of fracture systems. A pseudo- fracture body concept, which can be uniquely named as ghost fracture, has been proposed and implemented in the modeling strategy to achieve an effective handling and computing of random natural fracture and fracture network. This strategy greatly overcomes the modeling challenge in this technical domain and is very useful for future application. The details of fluid entering and leaving the fracture body are scrutinized to help build physically meaningful treatment of fluid flow process and ensure a reliable workflow in computing. This new modeling strategy is applied to simulate natural fracture networking systems with various complexities. Representation of the physics around fracture body with high accuracy greatly enhances our technical confidence to deal with more complex natural fracture system in field, where the involvement of complex fracture physics directly influences the flow regime around a well and its performance. Comparison study using other simulator had been performed to help verify the correctness of the proposed simulation scheme. The results from this new semi-analytical model are consistent with those computed from other commercial simulators under the condition of comparable and simplified fracture network, such as the orthogonal fracture system, which is the normal manner a fracture system constructed in commercial software. However, this new semi-analytical methodology creates results with accuracy near analytical solution and successfully consolidates the ability of rendering more complex and irregular fracture settings to satisfy the real physics in a highly effective computational fashion; thus, helps fulfill the objective of modeling natural fractures in actual reservoir comprehensively. Results for various synthetic cases under different conductivity conditions have been analyzed systematically. The effects of the fracture network pattern and orientation have also been studied. Under the current industry scenario of implementing massive multistage fracturing in horizontal wellbore for tight oil/gas reserve development, there exists a great need in understanding and analyzing the complex interference/communication among artificial and natural fracture systems. The modeling methodology presented here has built a powerful tool to help characterize and diagnose the fracture system and potentially assist in identifying the sweet fractured formation ranges, thus offer a more reliable way to map fracture network and optimize tight formation drilling and fracturing practice.
Published Version
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