First Break - Volume 41, Issue 12, 2023

Reprocessing of a recent wide azimuth vibroseis survey in the Vienna basin, followed by detailed anisotropic velocity model building and pre-stack depth migration, has led to an improved understanding of the subsurface structure, helping to de-risk future drilling decisions. Several processing and imaging routes were investigated, including common reflection surface stacking, 5D regularisation, Kirchhoff and common reflection angle migrations, using an interpretation-constrained velocity model. Results for the different routes are compared, with an assessment of the interpretational uplift obtained with the different approaches.

Exploration and production companies continuously strive to find and develop new recoverable hydrocarbon reserves. For every segment, activating critical data faster can give companies a competitive advantage. From limited infrastructure, barriers to scale, limited transmission bandwidth and network capacity, and improved clock time from data acquisition to processing, as well as the difficulty of aggregating, transporting, and activating large data sets, presents a clear challenge to exploration and production companies’ turnaround time. As the evolution of data acquisition technologies has outpaced approaches to data management in the field, this problem has only compounded over time.

This paper will address the key challenges to energy industry data management and provide useful solutions for data aggregation, transportation and activation. As data becomes more and more of a significant strategic resource for exploration and production enterprises, it will become vital that service providers discover a new approach to acquiring and processing data in the field. This solution will need to be a cost-effective, efficient, and scalable physical data transfer solution that is built both for mass-capacity storage in the field and frictionless physical transfer to any cloud service.