New Software for Well-to-Well Correlation of Spectroscopy Logs
Mirowski, Piotr1, Michael Herron2,
Samuel Fluckiger2, Nikita Seleznev2, David
McCormick3,
(1) Courant Institute, New York University, New York, NY, formerly with
Schlumberger-Doll Research, Ridgefield, CT (2) Schlumberger-Doll Research,
Ridgefield, CT (3) Schlumberger-Doll Research, Cambridge, MA
Wireline geochemical concentration logs are
becoming common in many oil fields. To take advantage of this, a new standalone
PC application with a user-friendly graphical interface, Well2Well, enables a
new type of well-to-well correlation application with several major
innovations.
First, the data that are used are the real values of the
chemical concentrations of the most important rock-forming chemical elements.
The full list available includes elements from the Elemental Capture
Spectroscopy (ECS) and Natural Gamma Ray Spectroscopy (NGS, HNGS) sondes. This is in contrast to the traditional use of gamma
ray/spontaneous potential and resistivity data, which
are at least as sensitive to the fluids as to the rock. Second, elements that
are believed to be more geologically important can be included in the analysis
and weighted in significance according to the users preference,
while less important trace elements such as thorium and uranium, which are
major components of the gamma ray, may be excluded. Third, the input logs can
be preprocessed and smoothed with edge-preserving algorithms in order to make
the correlation algorithm more stable.
These well-to-well depth correlations rely on the Dynamic
Programming algorithm, which computes a chemical signature mismatch matrix
between a pair of wells and then finds the best correlation path thanks to an
optimal path search through that matrix.
Tests on
multiple datasets from