Drafting Interpretation of Seismic Data Through Virtual Reality with Hyperknowledge Base Systems

Abstract

Seismic data are sources of information used by geophysics and geologist to infer the lithology of a region and look for evidence of possible hydrocarbon deposits. The interpretation of this data is critical for natural resources exploration in the business of industries like oil&gas. However, the essence of the data is volumetric, and the interpretation is challenging and time-consuming even for skilled domain specialists. In this work, we present a virtual reality system to explore seismic data assisted by a knowledge base and AI services. We focus on the aspect of visualizing and creating 3D annotations that are artifacts that highlight regions of interest that will characterize structures of the seismic data. A hybrid knowledge base (Hyperknowledge base), which support multimodal data, plays the role to integrate all those annotations from user to AI services and vice-versa. Hence, users shall use the system for decision making in immersive environments that preserve the volumetric perspective of the data for a better understanding of them.