Call for abstracts
Call for abstracts
Call for papers are now open!
The conference committee invites abstract submissions for presentation at the Mineral Resource Estimation conference, to be held at Optus Stadium in Perth 24 - 25 May, 2023.
Presenters are encouraged to present in-person, with the option of providing a pre-record of their presentation. Please note, Mineral Resource Estimation conference will not be streamed live online; however, all presentations will be recorded for viewing post-conference.
Abstracts that are accepted by the Conference Organising Committee will be subject to peer review. The selection criteria includes: relevance to the conference theme, accuracy and originality of ideas, significance of the contribution and quality of presentation.
All accepted papers will be published in the conference proceedings and presented during the technical sessions. All presenting authors are required to register, pay and attend the conference.
Key dates for Abstracts
20 January 2023: Notification to authors
24 February 2023: Draft papers due
14 April 2023: Final deadline for papers
24—25 May 2023: Conference dates
This first-of-its-kind conference is the place to meet and mingle with other estimation professionals, learn about the latest developments, challenge the status quo, and holistically discuss mineral resources estimation.
The Mineral Resources Estimation Conference 2023 will be different to other AusIMM technical conferences, both in format and in content. The Conference Technical Committee has opted for an interactive style, with more expert-led panel discussions, and more time for questions. A yet-to-be-named “estimation challenge” is also planned (details will be released at a later date).
There is no one-answer to the domaining, estimation and classification of a deposit. There are many valid and useful possible models, just as there are many invalid, sometimes misleading models. For our industry to use and agree on what is a valid, useful, and practically achievable model is critical for all stages of a project.
The conference will:
- provide room for a younger generation of resource estimators to showcase their skills and challenge established wisdom;
- challenge current techniques and expectations; and
- acknowledge the difficulties of consistency, repeatability and standardisation in both technical execution and public disclosure of Resource Estimates.
The Conference Technical Committee is seeking abstracts/submissions for:
- full papers on any of the themes below; and
- panel discussion subjects (submit a topic that you consider is worth discussing by the panel, or submit a question that you have always wanted answering for the Committee to integrate in one of the panel sessions).
There are no pre-defined themes; however, a number of general ideas are presented below for authors to consider.
- Model purpose and end use
- Estimation methods
- Forensic block model analysis
- Geological Modelling and Estimation Software: development, opportunities and limitations
- Beyond zero cut off – validation at economic cut offs
- Failures and disasters
- AI and machine learning
- Best practice
- The Philosophy of Resource Estimation
- Case studies
If you have a unique thought-provoking idea for an abstract or panel discussion on mineral resource estimation, we want to hear it!
Model purpose and end use
- The varied roles of mineral resource estimation - does the end use affect the estimate?
- Who are the end-users and what do they expect from the estimate?
- What are valid and invalid uses for resource estimates?
- What end-use considerations should influence the estimation approach?
Reconciliation of resource estimatess
- The practical application of reconciliation data in resource estimation.
- Understanding Met Accounting and why production data is not always as it seems.
- What does ‘good reconciliation’ prove?
- Can you have ‘good reconciliation’ and a poor estimate?
- Is reconciling to the resource valid?
- Does reconciliation add value commensurate with the effort? If not, why not and what should be done differently?
- The assumptions and limitations of available estimation methods.
Forensic block model analysis
Finding out the reasons for a block model that is failing (Where is the problem, how do you determine an error in the resource estimate when there are multiple post-estimation factors in play).
- Sampling issues, trusting the data
- Assessing expected error (via simulation)
- Is the problem coming from sampling, from the geological interpretation or from the estimation?
- Understanding the limits of models: how do you know there is a flaw in the resource? How do you pinpoint the error in complex interactive systems?
Geological Modelling and Estimation Software: development, opportunities and limitations
- Commercial software solutions can help break paradigms/inertia and develop new techniques. When mining is compared to the oil industry, the development and advance gap is clear.
- If software-specific techniques/methodologies are not democratised, the average user will not be able to access such innovation. Software innovation requires plenty flexibility and interoperability between different platforms, workflows, and data types, which is not always present in commercial software.
- What is the next frontier for geology software? How to implement ML in our workflows? Integration with programming languages? Interoperability between commercial software solutions? Automation of estimation and validation workflows?
Beyond zero cut off – validation at economic cut offs
Block histogram shape, block variability and grade tonnage curves – everything matters and needs to be examined holistically. How is this acheived or validated?
- Domain definition
- Composite size
- Block size
- Variogram model
- Search neighbourhood
- Number of samples selected
- Number of passes
- Estimation method
Failures and disasters
- Things changed between evaluation and execution (e.g. market, prices, product).
- Learning from mistakes is a key pathway to improvement. How do we do this without making it personal?
- Does the current classification system need to be challenged?
- Differences between reporting jurisdictions.
Communicating and reporting model results
- How do you know your estimate is the central case?
- Communicating confidence to end-users
- Going beyond JORC, classification for internal usage
- Confidence that the block means are accurate?
- That the global mean is accurate?
- That the range of variability is well or poorly understood?
- Does it make sense with the mining method?
- Is the problem a general lack of data or related to geometry or specific types of data?
AI and machine learning
- What’s on the horizon?
- Artificial intelligence and machine learning for domaining and estimation:
- State of the industry
- The non-spatial estimation problem
- Wireframe-free estimation
- What is ‘best practice’?
- Is best practice the same for every resource and every operation?
- Dealing with exceptional cases (and why are they exceptional?)
- Is ‘best practice’ a limiting paradigm?
- Does it exist?
- Who and how?
- Extra guidance, governing bodies, etc.
The Philosophy of Resource Estimation
- Why do we estimate mineral resources?
- Is a resource model a scientific model?
- Is it a good idea to assign ‘value’ to a resource estimate?
- The limitations and there implications of estimation (e.g. kriging)
Open to anything!
Have a thought-provoking idea on mineral resource estimation? We want to hear it!
Panel discussion leads
- Submit an abstract outlining a panel discussion topic and why you think it would worth discussing.
- Or, submit a question that you’ve always wanted answering and we will consider including into one of the panel discussions.
Online Abstract Submission
Papers that are accepted by the organising committee will be subject to peer review. The selection criteria include relevance to the conference theme, accuracy and originality of ideas, significance of the contribution and quality of presentation. All accepted abstracts will be published on the conference website, and those allocated to the program will present at the Conference's technical sessions.
Abstracts/papers must be submitted as a PDF document only using the specific format as per the abstract template submitted through the abstract submission portal on the conference website. Submissions will not be accepted via email.
The Committee may, if necessary, limit the number of presentations per author. Presenters of accepted abstracts are required to register and pay to attend the Conference as a delegate. Submission of abstracts implies the author’s agreement to publish their abstract on the conference website. Authors must arrange and pay their own accommodation, travel and expenses to attend the Conference.
Once the abstract submission deadline has passed, the organising committee will review all submitted abstracts. Authors will then be notified whether or not the abstract has been accepted for the program and whether an extended abstract or full paper is required.
All enquiries should be directed to: email@example.com
- Abstracts must be a minimum of 250 words, and a maximum of 300 words
- Abstracts must be submitted in Arial 11-point font
- The abstract title must be typed in Arial 14 point, bold and centred font
- The presenting author/s name/s must be underlined
- All author details, post nominals and affiliations must be included
- All author email address must be included
- Authors may include a maximum of five keywords sufficient to highlight the relevant topics to be addressed in the paper
- Abstracts must be text only – graphics, images or graphs should not be included
AusIMM Guide to Authors
Abstract submission FAQs
Where do I submit my abstract?
Do I need to use a template?
Yes – you will need to format your abstract using the abstract template. This can be found within the Abstract Submission Portal.
How long does the abstract review process take?
The abstract review process begins after the abstract submission deadline has passed. It usually takes around four weeks for the organising committee to review all submitted abstracts and reach a decision. This may take longer if the number of abstracts submitted exceeds expectations.
How will I know if my abstract has been accepted?
We will contact you via email regardless of the outcome.