Big Seismic Data Visualization on Cloud: A Case Study Collaborating with Industry

Hao Zheng, Lei Huang, Bidur Bohara, Mike Heck - Computer Science Department, Prairie View A&M University, Prairie View, TX 77446

Scientific and industrial data have grown too big to efficiently process and visualize using the current desktop solution. The cloud computing becomes a feasible solution to tackle the big data challenge. However, how to efficiently visualize big data sets such as the Oil & Gas industry seismic volume on the cloud remotely remains a challenge. It is not feasible to send big data back to the client side to visualize them. The limitations of Internet latency and bandwidth require all data rendering and processing are carried on the cloud side in order to achieve real-time big data visualization.

How Open Inventor Toolkit is used

For a big 3D seismic volume takes a long time (over a minute) to display a rendered 3D image on the platform via a web browser. To address this challenge, we collaborated with Thermo Fisher Scientific to bring the high quality and high-performance rendering of seismic volume in SAC using Open Inventor.

The bricked representation of seismic volume also makes it possible to store bricks (chunks of volume) in a distributed file system in the cluster. Open Inventor will request data server for individual bricks, as needed, for the volume rendering.