Accelerating Seismic Data Access, QC and Vendor-Independent Automated Workflows with Cloud-Based Seismic Datastore and API

Seismic data discovery, quality assessment, and retrieval are often time-consuming and iterative processes between geoscientists and data managers.

In this paper, we describe the implementation of a seismic datastore in the Aker BP cloud environment, as part of the company’s digital program Eureka. The objectives of this implementation have been to get fast, tool-independent access to the Aker BP seismic data through an API allowing queries of the whole survey but also of subsets of the seismic data; overview of the actual data within each survey; preview of a seismic section (inline, crossline or arbitrary line); comparison of the same section from two different seismic cubes; and enabling 3rd party applications to run as services on top of the seismic. The implementation was carried out in a five-month project, involving software developers and the support of data managers, in an Agile setup with demos every two weeks and continuous feedback from the end-users. The solution has been delivered as a cloud-based API architecture to ingest, store, query, visualize and consume seismic data.