Realistic DFN Modelling Using 3D 3C Seismic Data for the Marcellus Shale with Application to Engineering Studies

Abstract

The development of resource plays is moving on from drilling on a regular grid; but it is not sufficient to 'simply' identify a sweetspot in a resource play. It is also necessary to understand connectivity and compartmentalisation, this may be achieved through the development of a realistic fractured reservoir model. Seismic data volumes, inversion studies and rock physics provide a wealth of information covering reservoir intervals. Co-rendering of the data volumes leads to a more easily interpretable image of the subsurface and a better understanding of the reservoir. This paper discusses the construction of a realistic DFN model that was built using inputs derived from a 3D multi-component seismic dataset, seismic attributes, anisotropy information, seismic inversion results and well data. As model incorporates the seismic data deterministically the DFN can be used to guide well placement and planning, predict interwell connectivity and can be used to forward model completions in terms of fracture generation or reactivation and micro-seismic event generation.