Rendering accurate water reflections is crucial for achieving realism in computer graphics. Their integration with VR and AR technologies can further elevate experiences in sectors like education, engineering, and medicine. Even though various monoscopic reflection techniques exist they either demand substantial computational resources or cannot be straightforwardly adapted to stereoscopic media, leaving a big hole in research concerning stereo-aware reflections and their applications. This thesis researches and analyses the different techniques for water reflections. Further, it makes significant strides in the development of stereo-consistent real-time water reflections for XR platforms. This is achieved by combining implicit functions and bounding volume hierarchies (BVH) into a unified system called Adaptive Hierarchical Signed Distance Fields Reflections (AH-SDFR). It was found that AH-SDF outperforms leading methods such as Hierarchical Screen Space Reflections (HSSR) and Reflection Probes in both visual quality and performance, and as a result, it offers a promising solution for XR applications. However, challenges persist, mainly due to the large memory demands of intricate 3D scenes and perceptual errors from inaccuracies in volume textures.