We specialize in the development of databases and software for the prediction sedimentary architecture and heterogeneity, especially in subsurface reservoir successions:
https://fakts.azurewebsites.net/
https://smaks.azurewebsites.net/
https://shinydasa.azurewebsites.net/
https://dmaks.azurewebsites.net/
Free open access to 30th September 2022 (31st October 2022 for shinyDASA)
Demonstration user name = "demo_user"
Demonstration password = "demo-pass"
Learn more and access the shinyFAKTS and shinySMAKS user guide here.
Learn more and access the shinyDASA user guide here.
The Fluvial Architecture Knowledge Transfer System (FAKTS) is a
relational database storing numerical and descriptive data about fluvial
sedimentary architecture coming from fieldwork and peer-reviewed literature, from both
modern rivers and ancient successions.
The database encapsulates all the major features of fluvial sedimentary architecture (style of internal organization, geometries, grain size, spatial distribution and reciprocal relationships of genetic units) in a hierarchical fashion, classifying datasets either in whole or in part according to both controlling factors (e.g. climate type, tectonic setting), and context-descriptive characteristics (e.g. channel/river pattern, dominant transport mechanism).
The FAKTS database stores aspects of fluvial sedimentary architecture that can be applied
to fluvial-reservoir characterization and prediction. The database serves as
a tool with which to achieve the following primary goals:
The Shallow-Marine Architecture Knowledge Store (SMAKS) is a
relational database storing numerical and descriptive data about shallow-marine, paralic and lacustrine
sedimentary architecture coming from fieldwork and peer-reviewed literature, from both
modern systems and ancient successions.
The database encapsulates all the major features of shallow-marirne, paralic and lacustrine sedimentary architecture (style of internal organization, geometries, grain size, spatial distribution and reciprocal relationships of genetic units) in a hierarchical fashion, classifying datasets either in whole or in part according to both controlling factors (e.g. climate type, tectonic setting), and context-descriptive characteristics (e.g. river, wave, tide influence, shoreline setting, dominant transport mechanism).
The SMAKS database stores aspects of shallow-marine, paralic and lacustrine sedimentary architecture that can be applied to reservoir characterization & prediction. The database serves as a tool with which to achieve the following primary goals:
The Database of Aeolian Sedimentary Architecture (DASA) is a
relational database storing numerical and descriptive data about aeolian and related sedimentary architecture coming from fieldwork and peer-reviewed literature, from both
modern systems and ancient successions.
The database encapsulates all the major features of aeolian sedimentary architecture (style of internal organization, geometries, grain size, spatial distribution and reciprocal relationships of genetic units) in a hierarchical fashion, classifying datasets either in whole or in part according to both controlling factors (e.g. climate type, tectonic setting), and context-descriptive characteristics (e.g. bedform type, dune-field location, subenvironment setting).
DASA is the worlds largest & most sophisticated relational database specifically designed to characterize the geomorphology, sedimentology, stratigraphic architecture and regional stratigraphy of modern & ancient aeolian systems, and their preserved successions.
PB-SAND
is a numerical forward stratigraphic modelling software for the reconstruction and
prediction of the spatio-temporal migratory evolution of fluvial and
tidal meanders and their generated deposits that accumulate as
heterogeneous sedimentary successions. The model uses a combined
process-based, geometric, and stochastic approach. PB-SAND can be
applied for the following purposes:
DuneModeller4D - Forward Stratigraphic Modelling Software
An overview of DuneModeller4D is coming soon.
DMAKS - Deep-Marine Architecture Knowledge Store
The Deep-Marine Architecture Knowledge Store is a relational database developed by the Turbidites Research Group (TRG) at the University of Leeds.
The DMAKS database stores numerical and descriptive data about deep-marine systems and related sedimentary architecture coming from fieldwork and peer-reviewed literature, from both modern systems and ancient successions.
DMAKS is a quantitative database of the sedimentary architecture of deep-water depositional systems, which can be applied to problems of reservoir characterization and prediction. The database serves as a tool with which to achieve the following primary goals:
Learn more about the Turbidites Ressearch GRoup Joint Industry Project (JIP) here.
To enhance sponsor impact, the FRG-ERG-SMRG has collaborated with external partner PDS to develop a product that enables direct coupling of the FAKTs, SMAKS and DMAKS databases with modelling workflows: Ava Clastics