Tying well information and seismic data
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Well log information and seismic data for a given horizon may not
tie properly. I address the problem by formulating a least-square
inverse problem for a synthetic dataset. The aim of my regression
equations is to find a model with a regular grid by simultaneously
linear interpolating the well data and mapping the trend of the
seismic information. I have scaled the second regression equation to
decrease the dominance of the seismic over the well data. First I
determine a prediction-error filter (PEF) from the seismic data and
then run a conjugate gradient solver with the PEF to create the final
map of the horizon. With this new method, the final map matches the
wells more accurately.
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