Geophysics, Inversion, and Programming
Bill Harlan's Page
Geophysics, Inversion, and ProgrammingBill Harlan's Page |
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| Interested in geophysics? — Invert for offset-dependent wavelets and hyperbolic reflections simultaneously. — Automatic moveout picking is more robust with global optimization. — Signal/noise separation has many geophysical applications. — The Rytov/Eikonal approximation of wavepaths properly includes the effect of bandwidth in seismic tomography. — A convenient approximation of seismic anisotropy allows you to generalize higher-order moveout, prestack time-imaging, and depth calibrations with the same few parameters. — Here's my attempt to motivate the logistic function, useful for predicting oil production. — There's more geophysics on another page. |
| Interested in optimization and inversion? — Instead of regularization, reparameterizing models most effectively stabilizes inverse problems. — The simplest non-linear inversion in reflection seismology might be constrained Dix velocity estimation. — Here are Java classes for Gauss-Newton and conjugate-gradient optimization and older C++ classes. — Use conventional gradient methods to optimize neural networks. |
| Interested in programming? — Unused generality makes code hard to modify. — Try pair programming. — Try to avoid premature performance tuning. — How do unit tests help? — Maybe you can avoid extending classes. — Here are suggestions on catching Java exceptions properly and routine Java loggging — Why do people still use scary class hierarchies? — Use the Bridge/Impl pattern. — Refactoring is not rewriting. — There's more programming on another page. |
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Interested in program management for programmers?
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| Here's my address and a short bio. |