Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

The layer in question describes faults interpreted to occur within the base of Permian geology within the Arckaringa Basin.

Purpose

Fault deformation was considered an important architectural feature of the Arckaringa basin to map, particularly with respect to the potential for inter-aquifer connectivity with other basins such as the Great Artesian Basin such faulting may engender.

Dataset History

The shapefile was developed by Frogtech in 2013. The generation of this and other interpretations developed by Frogtech followed this work flow pattern: 1.Complete all seismic and well interpretations after mistie analysis and fixes. 2.Define extent polygons for each unit using well data, surface geology polygons, seismic data and faults as constraints. This includes making detailed polygons of inclusions and exclusion areas for each grid to allow for erosional highs etc. 3.Define fault polygons in Kingdom for each surface where there is a mappable, significant offset on a horizon. 4.Create a test grid in twt using the gridding modules in Kingdom. The default gridding parameters used are 200m cell size, fault convergence (where faults are relevant) and moderate grid smoothng. 5.Review and interrogate the test map looking for grid artefacts. Review, check, adjust seismic interpretations as relevant. 6.Regrid. Iterate. 7.Once satisfied with the twt map, depth convert the relevant seismic horizon using the inbuilt Kingdom function to depth-convert by selected time-depth curve. After QA/QC we used the Cootanoorina-2 checkshot data to depth convert horizons in the north and east and the Arkeeta-1 checkshot data to depth convert horizons in the south. 8.Grid the horizon in the depth domain using the depth converted horizon and relevant depth-domain formation tops. 9.Review and assess the resultant draft depth structure map. 10.Remove grid artefacts and adjust interpretation as necessary. Regrid. Iterate. 11.Local smoothing of grids to create continuation of inferred troughs between control points and where first iteration isopachs show grid overlaps. Regrid. Iterate. 12.Create final maps in Kingdom. Export to ArcGIS. Create contours and apply consistent colour stretches to each map.

Dataset Citation

SA Department of Environment, Water and Natural Resources (2015) FrogTech, Permian Geology Base Faults - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/ab5e2e15-3666-4ad3-a11d-b12e453990f3.

TO VIEW AND DOWNLOAD THE ACTUAL DATA, CLICK ON ONE OF THE LAYERS BELOWIn 2022 the Western Reserve Land Conservancy (WRLC) led a project with the City of Cleveland to survey every property in the City, gathering data and photos about structure condition, signs of vacancy, sidewalk condition, and more.For more information, see WRLC's page and content explaining the survey process and results.This service is a modified version of the survey results by City of Cleveland Office of Urban Analytics and Building & Housing. Original fields from the survey results were cleaned and formatted by UAI to a higher standard, with accurate, compliant field names and human-readable aliases.Data GlossaryProperty Survey Data DictionaryAll survey information is in fields prefixed with "survey". All other fields preceding "survey_" fields are part of the survey system and County property data used during the taking of the survey. For more information about the Regrid fields that precede survey fields, see their parcel schema (https://support.regrid.com/parcel-data/schema).The survey is published as 1) parcels (areas), 2) parcel centroids (points at the center of the parcel).This dataset is featured on the following app(s):Cleveland Property Survey Viewer Update FrequencyNeverContactsCity of Cleveland, Building & HousingCity of Cleveland, Urban Analytics & Innovation