Superfast 3D Seismic Geometry Analysis

A utility that can rapidly report key parameters about a 3D post-stack seismic dataset has been launched by Troika International.
This article appeared in Vol. 16, No. 4 - 2019


Superfast 3D Seismic Geometry Analysis

Troika International recently launched a utility that can, within seconds, report key parameters about a 3D poststack seismic dataset. The company’s new GEOM software provides a superfast geometrical quality control check that can potentially save hours of expensive data loading time. 

  • Troika International’s GEOM software took ten minutes to analyze and create shape files for 52 3D surveys in New Zealand. Data courtesy of New Zealand Petroleum and Minerals.

Acquisitions, mergers, joint ventures and multiclient projects mean that 3D datasets are routinely exchanged between E&P operators, service companies and national data stores. The size of surveys continues to grow, both through the increasing extent of new projects and the merging of existing datasets, resulting in data volumes of several terabytes that even the most powerful computer and data storage systems require a long time to upload. Reliable quality control of these datasets is essential to maintain the integrity of company databases and accurate uploading to E&P software platforms.

The GEOM software provides important information such as x/y coordinates of corner points, survey azimuth, bin dimensions, trace count, and an outline surface coverage image. It analyzes textual headers and can export the header definitions for integration into other software applications and provide shapefiles for visual display or input to GIS applications. 

The cost to acquire and process a 4,000 km2 3D deepwater survey is in the order of $25 million and typically results in a post-stack dataset of around 150 GB. The GEOM software performed preliminary quality control of a volume of this size in around 12 seconds on a 32 GB RAM PC running Windows 10. The software can also identify errors in header and positioning data, mitigating the chances of incorrect information being input to an organization’s database.

Further Reading on Data in the Oil and Gas Industry

Digital Transformation to Boost Oil and Gas Production
Patrick Meroney, Katalyst Data Management
In the upstream oil and gas industry, digital transformation is changing how companies do business. According to Booz Allen Hamilton (December 2018), digital transformation of E&P proprietary data could save the industry as much as $1 billion each year while boosting hydrocarbon production by up to 8%.
This article appeared in Vol. 16, No. 3 - 2019

The Custom Data Solution for Oil and Gas
Frank Sims
Low-cost, non-proprietorial data solutions are needed to capture, organise and analyse oil and gas data.
This article appeared in Vol. 15, No. 6 - 2018

Digitally Transforming Data Management for Geoscience
Jamie Cruise, Target Energy Solutions
Technology and processes are changing rapidly, but data remains at the heart of everything we do.
This article appeared in Vol. 14, No. 5 - 2017

Big Data in the O&G Industry
Staff Writer
Ahmed Hashmi, Global Head of Upstream Technology, BP, talks about the big data future.
This article appeared in Vol. 14, No. 5 - 2017


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