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The AAPG/Datapages Combined Publications Database
Houston Geological Society Bulletin
Abstract
Abstract: Is the Workstation “Killing” Geology?
By
Technology Unit Leader
Exploration and Geoscience, BP
Houston, Texas
What a question! Of course, the resounding answer to this
question is “NO.” Access to digital
data
, visualization tools
and interpretation software provides the geoscientist with the
ability to visualize,
display
and capture interpretations
faster and more robustly than ever
before.We can optimize and enhance
display
parameters, store and scroll through multiple
datasets, transfer large volumes of
data
in seconds
and “share” interpretations across sites
in ways we could only dream of a decade ago.
But you’re still reading this overview, so perhaps we have touched a sensitive element here.With the plethora of tools and views available for geoscientists, might we sometimes lose track of some of the basics? A few questions for us to explore…
• Today’s mapping packages can create aesthetically pleasing, yet occasionally inaccurate, maps more quickly and than ever before—how do we test accuracy before we drill a “dumb” well?
• Are all geologic views best displayed on a 20-inch monitor? Might there be situations where the geology does not lend itself readily to only a workstation view?
• Has PowerPoint become the interpretation tool of choice— might we sometimes spend more time displaying than we do thinking/interpreting?
• Are there flaws in the philosophies such as “
seismic
to simulator”?
Until we can “image” reservoir characteristics like grain
size, pore shape and connectivity, fluid type and properties and
bed length and shape, we must always remember that
seismic
does not reflect (no pun intended) all the characteristics of a
reservoir and its producibility.
• Are we able to make robust stratigraphic interpretations in most workstation environments? All conventional software packages allow for structural interpretation, but stratigraphic interpretation can be quite tricky and require “fooling” the mapping software, or sometimes resorting to colored pencils and Mylar to capture interpretations. We spend quite a bit of time mapping horizons, but it is much more difficult to capture observations and interpretations of strata between these horizons.
So, what can we do to assure that we are
honoring our
data
appropriately and accurately
reflecting
data
and uncertainty?
Reminding ourselves of a few simple practices can make a huge
difference in underpinning the highest quality integration and
interpretations.
• Know your
data
quality: Constantly ask yourself how good is
the
data
you are working with? In a world where “sidebars” and
“headers” are often de-coupled from the digital
data
, it is vital to
understand the acquisition and processing of all
seismic
data
and understand the quality and condition of all well (log, biostratigraphic,
pressure)
data
. Making confidence maps of
interpretations (overlays) and maps of
data
quality can be
extremely enlightening.
• Don’t be afraid of paper, pencils. A wall papered with regional
seismic
lines can create an invigorating work environment.
Posting values may make a map messy but provide more confidence
in interpretations and lead you to alternatives.
• Ask for ideas, ask for help. Learn from the experience around you. Explore the analogies; capture the experiences of your colleagues. Ask for peer assistance and challenge.
• Develop multiple models: It is critical that colleagues and stakeholders understand the
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realistic range of possibilities; the challenge is to explain the possibilities without creating confusion and instilling a lack of confidence.
• Good geology: Most importantly, always return to first principles of geoscience and challenge how well the interpretations fit. Keep training up to date, and keep some of those classic texts nearby. Don’t overlook the training needs for new employees and for experienced geos as well. An occasional trip to the outcrop will keep geologists humble, invigorated and open-minded to new ideas as well.
Digital
data
and software/hardware available today are more
powerful and provocative than ever before. By combining the
best-quality
data
(or understanding of the
data
quality and its
limitations) and the best knowledge, we can do better geoscience
than ever.
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