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Andrews Geoscience, Inc. and REVEAL, All Rights Reserved. Privacy Policy 2014.
Our clients are finding results beyond the obvious in REVEAL’s images of higher frequency events. The obvious, direct results consist of sharper,
crisper images and more accurate areal limits of prospects on time slices, with better definition on profile views of structural and stratigraphic geologic
features such as; thin bed thickness, laminae, angular unconformities, channels and overbank sediments, etc. Better lithofacies differentiation is
possible for onlaps and offlaps in sequence stratigraphy studies. Many interpreters are finding better identification of very small faults in complexly
faulted areas. Others use the process as an aid in geosteering of horizontally drilled wells. These advantages often allow illumination of prospects
that could not be recognized from standard processing.
REVEAL, AGI’s proprietary process, extracts higher frequencies out of dominant
frequencies found in standard processing of seismic data. REVEAL can be applied
to Gather Volumes, Pre or PostStack data and on Time or Depth Migrated data.
Our proprietary algorithms were written using mathematics of Discrete Wavelet
Transforms and Matching Pursuit Decompositions, recognizing their superiority
over Fourier Transform techniques used in standard processing. This process
provides excellent spectral localization, operates on individual traces and is linear
phase, thus preserving trace to trace amplitudes for reliable attribute analyses.
REVEAL is economical and allows for quick turnaround providing more added
value than just reprocessing of older data.  
What Is Your Data Not Telling You?

We are learning from our clients, and from research of pertinent scientific literature, that the indirect result of Attribute analyses and other
processes such as Coherency, Bayesian inversion and Lithofacies analyses, etc., when applied following the REVEAL process, offer greater S/N ratio
enhancement. This provides significantly improved results, when compared to the same processes applied to standard processed data. One major oil
company study, in conjunction with an overseas Research Center, named three applications that when applied following Discrete Wavelet Transform
processed data could; 1) “mitigate the reservoir risk”, 2) “resolve ambiguities in fluid probability estimations” and 3) give “understanding of the
connectivity of the reservoir”, and concluded that “all of these applications effect the net present value of prospects” and “could influence
development decisions”.
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