Searcher
  1. Companies
  2. Searcher
  3. Software
  4. Version sAIsmic - Global Rectified ...

Version sAIsmic -Global Rectified Seismic Data On-Demand

SHARE
sAIsmic is a web-portal delivering global rectified seismic data with instant viewing and GIS capabilities. sAIsmic allows for instant viewing of seismic data with streaming available from anywhere in the world. sAIsmic is the ultimate scouting tool for exploration teams around the world. With online access to your seismic data, your team can begin exploring in an instant.
Most popular related searches
The sAIsmic platform hosts global rectified seismic data. Searcher has applied it’s proprietary post-stack reprocessing method which rectifies navigation, metadata, amplitude, phase and time to create a contiguous database that can be easily loaded into any interpretation software.

sAIsmic’s global coverage offers datasets for regional screening activities, any area of interest and right down to block sized coverage, ready in an instant.

sAIsmic’s coverage includes Searcher’s rectified data on-demand:

Offshore:

  • Australia
  • Argentina
  • Oman
  • Peru
  • South Africa
  • Timor-Leste

Onshore:

  • Australia
  • Argentina
  • Gabon
  • Peru

Searcher’s Multi-Client data library can also be delivered and downloaded via the sAIsmic platform:

  • Argentina
  • Australia
  • Ireland
  • Mexico
  • Norway
  • Papua New Guinea
  • Peru
  • Philippines
  • Timor-Leste

As machine learning becomes common place in the oil and gas industry the need for organized data with known provenance and usage rights has never been greater. The majority of currently available seismic data is fraught with challenges; from legacy file formats, inconsistent metadata to dynamic range problems. sAIsmic solves all these problems by collecting, standardizing and storing the worlds seismic data on a modern big data infrastructure.

sAIsmic offers industry an innovative and smarter way to interact with seismic data on the premise that it should be adaptive, flexible and compatible with today’s big-data tools.

The global library of data has been deconstructed from the rigid flat file format traditionally associated with seismic and transformed into a distributed, scalable, big data store.

This allows for rapid access, complex queries and efficient use of compute – fundamental criteria for enabling Big Data technologies such as deep learning.