Understanding the impact of natural fractures in unconventional plays has been limited by the difficulty of describing fractures and intergrading this information from different scales. On one end of the scale, we have information from seismic that can allow the visualization of large fault systems or highlight areas of high tectonic displacement. On the other end of the spectrum, the data provide from wells, image logs, core and production can allow one to map and even characterize the fractures that intersect with the wellbore. What has been missing is data that allows bridging of the gap between the large scale, as provided from seismic, to the meso- and microinformation provided by logs and core. However, with modern borehole acoustic tools, meticulous data acquisition and adaptive processing algorithms, we can generate a borehole acoustic reflection survey (BARS), thereby creating a high-resolution seismic image of fractures around the well. To accomplish this, the components of the acoustic waveform data that escape the wellbore area and are reflected off the fractures are separated and processed using new, innovative processing methods. This paper discusses the tool and subsequent processing that enables the application of this technology in unconventional reservoirs. Moreover, the paper then describes the integration and verification of this data with seismic, borehole image data, and conventional core. Finally, the paper lays out conclusions and data acquisition modifications to better leverage the complimentary BARS data.