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Data
Acquisition
It is anticipated that the majority of the data collection
work shall be completed by the project team within the
first eighteen months of the project. The task shall
include an assessment of existing digital data sets
to determine extent and quality, acquisition and conversion
of important data that is known to exist but is not
in a suitable format, and the location and collection
of other critical data that may be identified through
the process of data assessment or subsequent data analysis.
Data that has been or shall be collected includes the
following sets listed below. The first four of the following
items are already available in digital format, although
data sets may be incomplete or in legacy formats. Not
all data items will be available for every well. In
this case efforts will be made to reasonably extrapolate
or interpolate results using linear regression, non-linear
regression (neural networks), and other statistical
and geostatistical mapping tools such as kriging.
| Basic
well data |
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location,
name, important dates, depths, and elevations |
| Well
production history |
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well
production, by completion where possible, including
workovers and reentries, perforation intervals |
| Core
analysis data |
: |
porosity,
permeability, formation tops, pre- and post-stimulation
flow rates, and miscellaneous data available from
tight gas application reports |
| Water
chemistry data |
: |
location,
well information, TDS, other chemistry analysis.Velocity
data - to be obtained from sonic logs |
| Regional
bibliography |
: |
bibliography
of useful engineering and geological references |
Data Assessment
The team shall utilize known well data sets that will
be assessed for accuracy and completeness. Existing
digital databases will be analyzed using standard database
quality control techniques to investigate integrity
of the data and discover gaps, errors, or inadequacies
that need to addressed during subsequent data collection
efforts. A review of literature, both in print and that
available online, will be performed to locate additional
useful information. A database model shall be created
from this data assessment to guide workers in collection
of the correct data and formats.
Digital Data Conversion
The team shall identify and convert data that exists
in formats that are not compatible with the needs of
the project. This data shall require conversion to more
useful formats. For example, there are digital images
of wire-line logs available for most wells in the study
area. It will be useful to have representative logs
available in LAS format so they can be used by log analysis
tools. There are also older (legacy) databases of information
that require outdated software to access, or that will
need additional data prior to integration with the final
database product. An example of this would be a well
identified only by name and general location. Such a
well would need an API number and a geographic coordinate
location prior to its inclusion in the final GIS database.
Acquisition and Conversion of Non-Digital Data
The team shall conduct a follow up digitizing of logs
and abstracting of data from literature and other sources
identified in the preliminary stages.
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