Seismic Fracture Characterization Using Statistical Rock Physics: James Lime Reservoir, Neuville Field

Sava, Diana C. (Stanford University) | Florez, Juan M. (Stanford University) | Mukerji, Tapan (Stanford University) | Mavko, Gary (Stanford University)



Fracture characterization is of great interest for many practical applications, such as mine and well stability, nuclear waste disposal, and hydrocarbon recovery, especially from tight reservoirs. Seismic methods have a big potential for fracture detection due to their wide coverage and deep penetration. Therefore, it is important to better understand the connections between seismic data and the real physical parameters of fractures. The first part of this paper presents the rock physics analysis, based on well logs, of the fractured James Limestone reservoir in the Neuville Field. The objective is to understand how the reservoir heterogeneities and especially fractures would impact the seismic response. The second part of the paper presents the results of our stochastic simulations of various seismic attributes for different models of fractures in the James Limestone reservoir.