HRP currently has over 50 wells in the public domain in the Cooper-Eromanga basin and is seeking participant oil and gas companies to commit to a multi well textural image study of the wells in the basin. The wells with image data will be provided under license to interested parties as part of the deliverables. The study will include the following:
Processed borehole image data set
Log Analysis of open hole logs with the principal aim of calculating porosity
Computation of textural properties for formations covered by the images which will include depth indexed
Pore Throat average distribution
Surface area Conductivity Distribution
Grain Size Distribution
As indicated, the data will be licensed for each well as two files. A 6 inch sampled data set and a 0.1 inch sampled data set. This data will be provided as DLIS files as it contains arrays. An abbreviated LAS file containing the averages of the above outputs at 6 and 0.1 inches will also be provided. HRP envisages that the study will take approximately 6 months to complete.
Contact HRP here for further information.
An example of the products produced are shown in the graphic below:
The tracks are as follows. Click on the plot to open a PDF
Borehole image (static) - The green curve is RT from open hole whereas black is image derived RT
borehole Image (dynamic) - The green curve is RT from open hole whereas black is image derived RT
Open hole resistivity curves
Fracture modulus as colour infill for UCS
Maximum permeability azimuth
Recomputed sonic and density from conventional analysis model
Conventional deterministic model
Image Porosity 0-0.25
Image Perm - horizontal, vertical and maximum horizontal plotted 0.0001-10 MD
Image pore throat distribution - 0.0001-10 uM
Surface area conductivity - more conductive to left less conductive to right
Saturation from image calculated using Indonesia equation and porosity, RT from images
Net and Pay flags
A quick review of the data is shown in the cross plots below. The first cross plot shows the surface area conductivity on the x axis and the pore throat on the y axis. It shows that the more permeable and higher surface area conductivity rocks have larger pore throats. The surface area conductivity suggests these rocks are oleophobic whereas the smaller pore throat size rocks are hydrophobic.
The second cross plot shows the grain size on the x axis and the pore throat on the y axis. It shows that the more permeable and larger grain size rocks have larger pore throats. A comparison with the cuttings and side wall cores from this well shows a good match in grainsize.
The maximum horizontal permeability azimuth shown in track 8 gives an idea of the permeability orientation. This is an interesting measurement as it can be compared with fractures, cleats in coals (Epsilon Formation for example) and other features that cause directionality in permeability.