Cimarex
utilizes INTViewer and its Java based Plugin API to create proprietary
algorithms for implementing new exploration technologies in a quick
and cost effective manner.
The Challenge
Cimarex technical staff wanted to provide their interpreters
with a Windows based solution for solving exploration problems and complex
post-processing R&D issues. They also recognized the need to provide
an efficient solution for rapid random access of prestack SEGY data
on the desktop.
However, Cimarex could not justify the cost of providing
license limiting bulky (and expensive) systems to every interpreter.
Furthermore, some of those systems required data conversion to proprietary
formats which complicated matters when dealing with terabytes of pre-stack
data. The search was on to find a cost effective means to satisfy their
needs.
The INT Solution
Cimarex licensed INTViewer, a simple yet powerful solution
for viewing large random seismic datasets in a variety of formats, including
SEGY. INTViewer also features a Plugin architecture that allowed Cimarex
to easily create a number of specialized batch and interactive processes,
extending the functionality of the viewer. Tools provided with INTViewer
that were used for this project include:
- SeismicDataAdapter - a Java API for reading
and writing seismic data using fast random access.
- Processing Plugin - a simple interface for integrating interactive
processing algorithms within INTViewer.
INTViewer handles fast random access of seismic data
using the SeismicDataAdapter API. This API, which supports both read
and write operations has allowed Cimarex to create batch and interactive
processing modules.
The
Results
INTViewer, with its Plugin architecture provided, Cimarex with a framework
that allowed them to create new utilities and applications easily and
in a timely manner to answer their exploration needs.
As of this writing, Cimarex has created over 32 interactive
and batch applications which greatly contributed to their exploration
successes and saved both time and money by reducing post processing
requests for their vendors.
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