Honoring Wells, Trends, and Seismic

Respect What You Know

A facies model earns trust by honoring the data, and the data come in two kinds. Hard data, the facies logged at the wells, must be reproduced exactly: the model has to pass through them. Soft data constrain the facies probabilistically rather than fixing any single cell.

Trends and Proportion Curves

The commonest soft constraint is a trend: sand may increase toward a sediment source, or a vertical proportion curve may show the sand fraction changing up the section. These bias the local proportions, more sand here and less there, without pinning a cell. The widget tilts the sand proportion across the field with the trend while the well columns stay fixed.

Seismic as Soft Data

Seismic adds another soft constraint: an inversion or classification can give, at every location, the probability of sand from the seismic response. The model blends all of it, honoring the wells exactly, following the trends, and leaning on the seismic probability between wells. Good conditioning is what turns a plausible-looking realization into a model the team will drill on.