--> --> ABSTRACT: Leveraging Seismic Attributes to Understand the “Frac-able” Limits and Reservoir Performance in the Eagle Ford Shale, South Texas, USA, by Clemons, Kristopher M.; Bodziak, Robert M.; Stephens, Andrew; Meek, Robert ; #90142 (2012)
[First Hit]

Datapages, Inc.Print this page

Leveraging Seismic Attributes to Understand the “Frac-able” Limits and Reservoir Performance in the Eagle Ford Shale, South Texas, USA

Clemons, Kristopher M.*1; Bodziak, Previous HitRobertNext Hit M.1; Stephens, Andrew 2; Meek, Previous HitRobertTop 2
(1) Eagle Ford Asset, Pioneer Natural Resources, Irving, TX.
(2) Geophysical Technology, Pioneer Natural Resources, Irving, TX.

There are numerous criteria commonly used to characterize low-permeability shale plays and their associated resource potential, including organic richness, thermal maturity, lithologic heterogeneity and brittleness. The latter, a descriptor of the geomechanical rock properties, plays a significant role in overall well performance and may be a key productivity driver. An understanding of the mechanical stratigraphy is fundamental for well placement and hydraulic stimulation design.

Using petrophysical logs, core, and 3D seismic data, we assess the mechanical contrasts between facies units and their effect on well performance. We use 3D seismic data to map the structural and facies distributions in an area where identification of reservoir facies is a major challenge, in order to plan delineation and development drilling. Young’s Modulus and density rock properties, inverted from 3D seismic data, prove to be effective discriminators for identifying facies changes and define the “frac-able” limits in areas where proppant embedment is a concern. This approach facilitates the identification of mechanical changes from 3D seismic data attributes associated with a brittle, carbonate prone, Eagle Ford facies and use these data to delineate the prospective zones, areally and vertically. Understanding changes in mechanical properties in ultra-low permeability shale plays is important in high grading productive intervals and predicting well performance.
 

 

AAPG Search and Discovery Article #90142 © 2012 AAPG Annual Convention and Exhibition, April 22-25, 2012, Long Beach, California