What is it about?

We applied geostatistics on co-located geotechnical borings and CPTs at Inner Harbor Navigation Canal (IHNC) in New Orleans, Louisiana, USA. Four 3-D stratigraphy models were constructed using USCS soil classification and Soil Behavior Type (SBT) correlations (Robertson et al., 1986; Robertson et al., 1990; Saye et al., 2017). We do see strength of different soil classification schemes. However, the special organic-rich soils in the coastal Louisiana make it challenging to pick up the correct soil types.

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Why is it important?

Complex subsurface geology of coastal Louisiana, formed under fluvial, deltaic, and sea level influences, increases the uncertainty in design and construction of hard and natural infrastructure. This study compared stratigraphy models constructed using various soil classification methods, to see which method can better predict soil type in the coastal environment. This study also shows the usefulness of geostatistics in geotechnical investigation project.


Writing this article was a fun experience. The authors explored how to utilize geostatistical methods on geotechnical data. The article also found correlations and dependencies between different soil classification methods. The correlations can be used in the future to merge boring and CPT datasets.

An Li
Louisiana State University

Read the Original

This page is a summary of: Modelling and comparing 3-D soil stratigraphy using subsurface borings and cone penetrometer tests in coastal Louisiana, USA, Georisk Assessment and Management of Risk for Engineered Systems and Geohazards, July 2019, Taylor & Francis, DOI: 10.1080/17499518.2019.1637528.
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