GEO ExPro

Welcome to the World of Saismic™

Saismic™ is a cloud-based service from Searcher providing global seismic data on-demand while offering native support for cutting edge technologies such as deep learning and advanced analytics.
This article appeared in June, 2020

Advertisement

Welcome to the World of Saismic™

Where is my data I ordered weeks ago? Where did this seismic come from exactly? I thought that survey was over there….?

These questions are all too familiar to explorers who have worked and struggled to understand and build their databases, whilst all the time just wanting to look for prospects and get on with their job of finding oil and gas! So wouldn’t it be nice to get a set of trusted data delivered at the click of a button to anywhere you need it?

  • Image above shows a snapshot of the Saismic Portal. © Searcher.

Welcome to Saismic: a cloud-based service providing global seismic data on-demand while offering native support for cutting edge technologies such as deep learning and advanced analytics. Not only is the data easily accessible, every line and survey has been through a detailed QC and rectification process to ensure the data is as accurate and consistent as possible. From a few clicks of a button, you can be ready to start looking where the next Liza field may be.

The Saismic database is available via a web-based GIS interface where subscribers can see survey outlines, view seismic sections, download metadata and send the SEGY data to the cloud or download direct in your browser. Advanced users can take advantage of the native support for deep learning and analytics by directly accessing the database with full featured Python API support.

Stop hunting for your data and get it as you need and where you need it. 

Further Reading on Saismic from Searcher

On-demand Global Seismic Data
GEO ExPro
A Minute to Read: Searcher Seismic have recently launched Saismic™, a cloud-based service that provides global seismic data on-demand with native support for deep learning and advanced analytics.
This article appeared in Vol. 16, No. 3 - 2019

Advertisement

Related Articles