Rock Quality Designation (RQD) Weighted Joint Density (wJd) method
This document details Datarock’s product RQD - Weighted Joint Density method.
Background
It is commonly known that datasets logged from drill core are influenced by the direction of the drilling with respect to the features of interest.
For example, if drilling is conducted parallel to the common direction of jointing, an RQD measurement will tend to be higher than if it is perpendicular to the direction of jointing.
Datarock has developed it’s Weighted Joint Density product (see wJd product description for details) to assist with this, and is furthering this work by developing this RQD Weighted Joint Density (RQDwJd) method.
This example shown below by Palmström et al shows an example of the increased consistency of RQDwJd over the traditional RQD in the situation where drilling direction is changed.
WJD, and RQDWJD
measurements in the same
domain (Palmstrom 2005)
These comparisons show that RQDwJd provides a different perspective on rock quality, which could be more representative of the actual conditions, especially in complex geological settings where joint orientation plays a significant role.
Literature
This product is based on the following literature:
Title | Author | Year |
---|---|---|
The weighted joint density method leads to improved characterization of jointing | A Palmström et al | 1996 |
Measurements of and Correlations between Block Size and Rock Quality Designation (RQD) | A Palmström et al | 2005 |
Practical Investigations on Use of Weighted Joint Density to Decrease the Limitations of RQD measurements | M. Haftani, & A. Mehinrad | 2015 |
Dependent Models
The outputs of the following models are used:
Model Name | Model Type |
---|---|
Fracture Detection and Classification | Object Detection |
Drillers Break | Object Detection |
Fracture Mask | Instance Segmentation |
Data Processing
To compute the Rock Quality Designation based on Weighted Joint Density (RQDwJd), as detailed in "Practical Investigations on Use of Weighted Joint Density to Decrease the Limitations of RQD Measurement" by M. Haftani & A. Mehinrad (2015), the following procedure is outlined:
Measure the Weighted Joint Density
Take the results of Datarock’s Weighted Joint Density (see product description for details).
A summary of the steps are here:
Take the output of the fracture detection model, “simple” classes only
Run a segmentation model to extract the fracture profile
Measure the angle of each fracture with respect to the core axis
For a given interval, calculate the Weighted Joint Density
where
L = length of the measured section along the core
δ = the intersection angle, the angle between the drill core and the individual joint
This formula accounts for the frequency and orientation of joints within the rock mass. The summation (∑) runs over all the joints you have in your core section.
Calculate RQD_wJd
Use the formula:
This formula calculates the Rock Quality Designation (RQD) value derived from the Weighted Joint Density (wJd), offering a numerical assessment of rock quality. Generally, higher RQDwJd values signify superior rock quality.
Product Configuration Options
There are no configuration aspects to this product.
Output Data
Default interval length: 1.0m
Customisable interval available: Yes
User Data
User data may be provided to the Datarock team via csv in the following format:
· HoleID_sampling_intervals_rqd_wjd.csv
CSV file to contain the following headers:
File Header | Description |
---|---|
depth_from | Start of interval |
depth_to | End of interval |
Data Output
Results from this product is delivered in a batch nature.
Integration of the required technologies into Datarock production is ongoing.
The available CSV files include the following:
ProjectID_HoleID_rqd_wjd_1m.csv
ProjectID_HoleID_rqd_wjd_by_user_intervals.csv
Both CSVs contain the following headers:
File Header | Description |
---|---|
hole_id | Customer’s Hole ID |
depth_from_m | Start of interval (metres) |
depth_to_m | End of interval (metres) |
depth_from_ft* | Start of interval (feet) |
depth_to_ft* | End of interval (feet) |
wjd | Weighted joint density |
wjd_measurable | Weighted joint density using only “measurable” fractures |
rqd_wjd | RQD based on weighted joint density |
rqd_wjd_measurable | RQD based on weighted joint density using only “measurable” fractures |
*Only included if project depths are in feet.
Product Limitations
Limitations | Comments |
---|---|
Interpreting Fracture Complexity | Machine learning models may have difficulty accurately interpreting the complexity of fractures in highly fractured zones, particularly fractures that a parallel to the core axis. Missing detections will impact the results. |
Difficulty in Small Block Identification | The presence of numerous intersecting joints that create very small rock blocks may not be easily discernible in images, potentially leading to inaccuracies in the machine learning model's interpretation. |
Document Version
Version | Date | Author | Rationale |
---|---|---|---|
1.0 | 23 Jan 2024 | L Yanez | Initial release |