Quantitative Clastics Laboratory
Quantitative Data Sets
Quantitative morphometric data is a critical component of reservoir modeling, correlation strategies, well planning, drainage radius predictions, risk assessment and resource analyses. The research group is focused on collection of quantitative morphometrics of reservoir and seal geometry, as well as collection of quantitative lithologic properties data on clastic outcrop, modern and subsurface systems around the world.
Quantitative seismic geomorphology is an evolving field, building on the historic approaches of seismic stratigraphy, sequence stratigraphy, fluvial geomorphology and 3D seismic attribute extraction and analyses. We are continually evolving in our understanding of how subaerially-derived knowledge of geomorphic system behavior translates to submarine systems, of the important parameters the you can measure from seismic data and what they can tell you regarding your reservoir seal systems and of how to see more deeply into the detail of the seismic data using modern and outcrop analogs.
Some of the morphometric data collected include:
- Body thickness, width, length and spacing
- Number of channel bends
- Radius of curvature
- Meander length
- Meander width
- Channel depth
- Channel width
- Splay frequency and locations
- Levee heights and widths
- Levee taper rates
- Debris flow runout distances
- Debris flow width and heights
Figure showing a compound fluvial meander at ~2.3 seconds in the West Natuna Basin, Indonesia. Data provided by ConocoPhillips, Indonesia
ERMAPPER is the tool of choice used by the research group for collecting large amounts of quantitative morphometric data on a variety of depositional morphologies imaged in seismic data. Key surfaces are mapped, then used to bound intervals for attribute extraction, increasing imagability of the morphology. These attribute volumes are systematically sliced and imported into ERMAPPER (using a proprietary BEG script) for morphometric mapping and extraction of data. These data are then exported to Excel (using a proprietary BEG script) for statistical and probability analysis.