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Automatic velocity picking by simulated annealing
Yunyue (Elita) Li and Biondo Biondi
Abstract:
Manual velocity picking is an inevitable and tedious process in
the petroleum industry. An ideal velocity model is both
geologically significant and
geophysically smooth. Velocity picking can be phrased as a nonlinear optimization
problem with multiple contradictory objectives. In this paper, we
develop an automatic velocity picking technique based on
the Simulated Annealing (SA) Algorithm. Accuracy and smoothness
of the velocity model are used as objective functions. To improve
the convergence of the algorithm, we include prior knowledge of the
velocity model
in the initialization and the constraints. The algorithm is
adapted for this problem and demostrated using a 2-D field example.
2009-10-19