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Running products

Running products

This page walks you through the process of running products on a drill hole.

Overview

The process of triggering a product is similar regardless of what is being run however, there may be some differences between input requirements and viewing results.

Image Preparation

A pipeline that prepares images for future processing. This pipeline will extract the box(es) and then extract rows for each of the boxes from the image.

Locating the Upload button within the Projects page of the Datarock Platform.
  1. Navigate to the Project page of the Datarock Platform

  2. Locate the Upload button (top right of screen)

Using the Platform Uploader, both images and accompanying CSV data (e.g. depth, sample, core loss or fracture interval files) can be uploaded by simply drag 'n' drop into the uploader bar.

Image Requirements

Image metadata accepted by Datarock need to adhere to the following formats:

  • .JPG file

  • Core orientated horizontally within the frame and depth increasing from left to right moving down the image

  • HOLEID_BOXNUMBER+BOXNUMBER_FROMDEPTH_TODEPTH (optional)

    • Depth metadata is optional but will require a depth file (a CSV containing the start and end depth of the hole) to be uploaded in its place.

      • DDH001_1

      • DDH002_1+2+3

      • DDH001_1_0_6.2

      • DDH002_1+2+3_0_18.3

Images can not be rotated in the platform at this time. Prior to uploading, ensure that all images are oriented with core rows increasing in depth from top left to bottom right of the image.

 

Potential scenario: The best case scenario! No errors or warnings, upload can proceed

 

Potential scenario: Warnings associated with missing depth metadata and orientation inconsistencies. Upload can proceed with warnings but should be thoroughly checked and deemed acceptable to proceed with. A depth file will need to be uploaded.

 

Potential Scenario: Critical errors must be fixed before upload can proceed. Errors displayed above are associated with duplicate box numbers and overlapping depths.

 

 

Triggering Image Preparation

The running of Image Preparation is automatically triggered once a hole is uploaded. If there are issues that cause the run to fail (e.g. no depth metadata), the issues will need to be fixed and Image Preparation re-triggered manually

 

To manually trigger Image Preparation:

  1. Navigate into the drill hole

  2. Select Rerun Image Preparation from the Actions menu

  3. Hit Rerun

Pill Box Icons

The above icons are referred to as ‘Pill Boxes’. During the Datarock process, there are three states a pipeline run can be in:

  • Successfully completed (green tick)

  • Failed to complete (red exclamation mark)

  • Still processing (spinning circle)

 

 

Depth Registration

A pipeline that determines the depth where rock came from underground, relative to the start of the drill hole. To achieve this, we run the rows through machine learning models (coherent rock, incoherent rock, empty tray, and core block) and OCR and then apply some computational logic.

 

Triggering Depth Registration.

Select Run Depth Registration from the actions menu and hit Run. Once processing has started, the pill box icon will start spinning (above).

 

Completing Depth Health Checks

A yellow tick indicates Depth Registration results have not yet been approved.

Models requiring depth registration to have run can still be run without depth registration results being approved but it's always a good idea to check the warnings before proceeding. Depth Registration results can be approved by completing a Depth Health Check.

Locating Depth Health Check warnings.

If there are Depth Health Checks to be completed, areas of concern will be displayed in the Notifications panel. Common issues that can increase the number of checks are:

  • Missing depth metadata

    • The more ground truth depths, the better

  • Missing core loss files

    • Having these helps the depth registration process account for large missing intervals

  • Poorly performing models

    • Missed or incorrect predictions can affect the depth registration results

Investigating a Depth Health Check warning example.

Clicking on the interval or box numbers listed in the notifications panel will bring up the region of interest to inspect. In the example above, the image does not contain any depth metadata, to fix this error the user can add in the from and to depth of the image.

 

Approving and Revoking Depth Registration Results

Approving Depth Registration Results.

Approving Depth Registration can be done via the Actions menu in the drill hole page.

Depth Registration Results can be revoked at anytime via the Revoke button located in the drill hole page. Once confirmed and results have been approved, the orange tick will turn green in both the drill hole tab and the pill box icon in the projects page.

 

Visualising Depth Registration results

Example Depth Registration model prediction results.

 

 

Driller's Break and Rock Quality Designation (RQD)

Driller’s Breaks:

  • Fracture induced by the drilling process. Typically symbolised by a red 'X' on either side of the fracture in the core sample.

RQD:

  • Rock Quality Designation. A measure of rock quality that counts the pieces of rock that are ≥ 10 cm long. The measurements are made for a series of intervals (standard 1m or customisable).

 

After Depth Registration Results have been approved or depth results have been deemed appropriate without approval, RQD can be run. Triggering RQD from the Actions menu in the drill hole page, will automatically trigger the Driller's Break model to run prior to RQD.

Once both Driller's Breaks and RQD have successfully run, pill box icons will turn green

 

Example Driller’s Breaks and RQD data. Results can visualised polygons and bounding boxes as above or, as charts (below).

RQD charts are available on metre intervals or when an accompanying user interval file has been uploaded, RQD is also calculated on given intervals and compared to ground truth data (if supplied). NB: The charts and visuals are from different drill holes.

 

 

Fractures

A general term to include any kind of discontinuity in a body of rock if produced by mechanical failure, whether by shear stress or tensile stress. Fractures include faults, shears, joints, and planes of fracture cleavage. Using machine learning, we then classify the predicted fractures into a series of geotechnical categories (refer to our glossary for a complete breakdown of classes).

 

The Fracture pipeline can be triggered through the Actions menu in the drill hole page under the Results tab.

 

 

Example Fracture model prediction results. Upon successfully running, the Fractures legend will populate along the left panel of the drill hole page under the Results tab. Results are available as images, charts or tabular outputs (below).

 

 

Fracture Segmentation

 

The Fracture Segmentation pipeline can be triggered through the Actions menu in the drill hole page under the Results tab.
Example Fracture Segmentation model prediction results. Upon successfully running, the Fracture Segmentation legend will populate along the left of the drill hole page under the Results tab.

 

 

Joint Set Analysis

Datarock’s method of analysing joints to determine joint set number in line with the Q-System to determine

The Joint Set Analysis pipeline can be triggered through the Actions menu in the drill hole page under the Results tab.
Joint Set Analysis results can be located in the Charts option of the Results tab, by default, intervals are set at 3m.

 

 

Classification

Fault Classification

Fault Characterisation has been used here as an example, however the same process applies for all classification models such as Alteration, Lithology, Fault Classification etc.

The Fault Classification pipeline can be triggered through the Actions menu in the drill hole page under the Results tab.

 

 

Example Fault Classification model prediction results. Upon successfully running, the Fault Classification legend will populate along the left of the drill hole page under the Results tab. The results of this pipeline are editable within the platform via the Expert in the Loop (EitL) function. For detailed instructions on this process, please refer to the following guide Expert in the Loop - Square Classifications

 

 

Geotechnical Weathering Intensity

The degree to which the rock is weathered based on its appearance in the core image.

The Geotech Weathering Intensity model pipeline can be triggered through the Actions menu in the drill hole page under the Results tab. The results of this pipeline are editable within the platform via the Expert in the Loop (EitL) function. For detailed instructions on this process, please refer to the following guide Expert in the Loop - Square Classifications

 

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