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  • Hawkes Bay Regional Council commissioned SkyTEM Australia to collect SkyTEM data for 3D aquifer mapping. In January/February 2020, 3941 km of SkyTEM data were collected over the Ruataniwha Plains. Data processing was carried out by GNS Science to remove electromagnetic noise. The retained data was used to develop both smooth and sharp resistivity models for the area. The standard depth of investigation varies from 20 to 640 m for the smooth resistivity model. External Quality Control was provided by Aarhus University HydroGeophysics Group. The data is owned by Hawkes Bay regional council. A series of 3D models were developed with 100 x 100 m grid cells horizontally and 2 m thick grid cells vertically. The primary objective was to provide detailed 3D models and hydrogeological interpretations suitable to be utilised by subsequent numerical modelling and online visualisation tools. 3D model datasets were created and saved in an accessible .csv format, with x,y,z defining the centre of each grid cell. This format enables rapid model visualisation in an interactive online webmap and as 3D block models within a Leapfrog viewer file. Cite as: Rawlinson ZJ, Reeves RR, Westerhoff RS, Foged N, Pederson JB, Kellett RL. 2022. Hawke’s Bay 3D Aquifer Mapping Project: Ruataniwha Plains SkyTEM data processing and resistivity models. Wairakei (NZ): GNS Science. 79 p. Consultancy Report 2022/38. (Acquisition and resistivity modelling) Rawlinson ZJ. 2024. Hawke’s Bay 3D Aquifer Mapping Project: 3D hydrogeological models from SkyTEM data in the Ruataniwha Plains. Lower Hutt (NZ): GNS Science. 60 p. Consultancy Report 2023/117 (3D Hydrogeological modelling)

  • Data includes digital and paper geophysical log data acquired from a range of stratigraphic drillholes, including resistivity, density, gamma and neutron-based porosity measurements. Digital format is mostly Auslog

  • Hawkes Bay Regional Council commissioned SkyTEM Australia to collect SkyTEM data for 3D aquifer mapping. In January/February 2020, 2610 km of SkyTEM data were collected over the Heretaunga Plains, including four offshore lines. Data processing was carried out by GNS Science to remove electromagnetic noise. The retained data was used to develop both smooth and sharp resistivity models for the area. The standard depth of investigation varies from 12 to 650 m for the onshore smooth resistivity model and from 20 to 72 m for the offshore smooth resistivity model. External Quality Control was provided by Aarhus University HydroGeophysics Group. The data is owned by Hawkes Bay regional council. A series of 3D models were developed using the same horizontal regular grid as the existing Heretaunga numerical groundwater model (that will be revised in a subsequent piece of work). The 3D models utilise 100 x 100 m grid cells horizontally and 2-m-thick grid cells vertically. The primary objective was to provide detailed 3D models and hydrogeological interpretations suitable to be utilised by subsequent numerical modelling and online visualisation tools. 3D model datasets were created and saved in an accessible .csv format, with x,y,z defining the centre of each grid cell. This format enables rapid model visualisation in an interactive online webmap and as 3D block models within a Leapfrog viewer file Cite as: Rawlinson ZJ, Foged N, Westerhoff RS, Kellett RL. 2021. Hawke’s Bay 3D Aquifer Mapping Project: Heretaunga Plains SkyTEM data processing and resistivity models. Wairakei (NZ): GNS Science. 90 p. Consultancy Report 2021/93. (Final report on processing and resistivity modelling) Rawlinson ZJ. 2023. Hawke’s Bay 3D Aquifer Mapping Project: 3D hydrogeological models from SkyTEM data in the Heretaunga Plains. Wairakei (NZ): GNS Science. 69 p. Consultancy Report 2023/57 (3D Hydrogeological modelling)

  • Access database of porosity and permeability data for c 40 wells original compiled as spreadsheets (I:\Section 51\HYDROCARBONS DBASES\PoroPermXP.mdb)

  • Beneath the waves Purpose Characteristics 5 sentences DOI: https://doi.org/10.21420/V4FY-C903 Cite datasets as: GNS Science. (2022). Beneath the Waves Research Programme [Data set]. GNS Science. https://doi.org/10.21420/V4FY-C903

  • Marine MT data Whakaari Island..... Purpose Characteristics 5 sentences