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River and floodplain process simulation for subsurface characterization
Author(s) -
Gross Lori Juergens,
Small Mitchell J.
Publication year - 1998
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/98wr00777
Subject(s) - facies , floodplain , geology , hydrology (agriculture) , geomorphology , sampling (signal processing) , levee , deposition (geology) , channel (broadcasting) , field (mathematics) , geotechnical engineering , sediment , cartography , mathematics , geography , engineering , filter (signal processing) , structural basin , computer science , pure mathematics , electrical engineering , computer vision
Subsurface heterogeneity is characterized with a method based on facies delineation and process modeling. A geologic process model is formulated to simulate the development of four facies: channel fill, levee, splay, and floodplain, which commonly form in a meandering river and its floodplain. The model accounts for meandering, cutoff, flooding, and crevasse‐splay processes and links these formational processes to the statistical properties of the resulting facies. The model is utilized in a case study to simulate the horizontal pattern of deposition and facies distributions of the Stratton field, part of the Middle Frio Formation of southeast Texas, using known or estimated relationships and historical information for the Stratton field region. The simulated distributions of longitudinal and transverse facies dimensions and corresponding transition probabilities among facies are compared to those determined from sampling an observed section of the field, yielding similar results though some differences. Similarities and differences are related to the model processes and sampling procedures. Model sensitivity is investigated by changing selected model variables and analyzing the change in the facies distributions. The application of the geologic process model to the Stratton field demonstrates the viability of linking process understanding and modeling of complex meandering stream processes to characterization of subsurface heterogeneity.