Multivariate Statistical Analysis of Seismic Data

Multivariate Statistical Analysis of Seismic Data

It is common in field development, and even exploration, for one or more wells to be productive while other nearby wells are either dry holes or not very productive. Seismic data might show small but observable variations in amplitude or other attribute between the productive wells and the non-productive wells but it is not obvious how to interpret those small variations. Geostatistical analysis is a method of simultaneously using many seismic attributes to define boundaries between productive reservoir rock and less-productive reservoir or non-reservoir rock even when the seismic data traces do not visually show a clear boundary.

Classification Result

Videos from our Sterling Tech Talks give many more details and real data examples of using time-lapse DAS data for reservoir analysis purposes.