Articles tagged with: Feasibility Study

Higher Metal Prices – Should Miners Lower the Cut-Off Grade?

When metals prices are high, we are generally told that we should lower the cutoff grade. Our cutoff grade versus metal price formula tells us this is the correct thing do. Our grade-tonnage curve reaffirms this since we will now have more metal in the mineral reserve.

But is lowering the cutoff grade the right thing?

Books have been written on the subject of cutoff grades where readers can get all kinds of detailed logic and calculations using Greek symbols (F = δV* − dV*/dT). Here is one well known book by Ken Lane, available on Amazon HERE.
Recently we have seen a trend of higher cash costs at operating mines when commodity prices are high. Why is this?
It may be due to higher cost operating inputs due to increasing labour rates or supplies. It may also be partly due to the lowering of cutoff grades.  This lowers the head grade, which then requires more tonnes to be milled to produce the same quantity of metal.
A mining construction manager once said to me that he never understood us mining guys who lower the cutoff grade when gold prices increase. His concern was that since the plant throughput rate is fixed, when gold prices are high we suddenly decide to lower the head grade and produce fewer and higher cost ounces of gold.

Do the opposite

His point was that we should do the opposite.  When prices are high, we should produce more ounces of gold, not fewer. In essence, periods when supply is low (or demand is high) may not be the right time to further cut  supply by lowering head grades.
Now this is the point where the grade-tonnage curve comes into play.
Certainly one can lower the cutoff grade, lower the head grade and produce fewer ounces of gold.  The upside being an extension in the mine life.  A company can report more ounces in reserves and perhaps the overall image of the company looks better (if it is being valued on reserves).   To read more about the value of grade-tonnage curves, you check out this blog post “Grade-Tonnage Curves – Worthy of a Good Look.

What if metal prices drop back?

The problem is that there is no guarantee that metal prices will remain where they are and the new lower cutoff grade will remain where it is. If the metal prices drop back down, the cutoff grade will be increased and the mineral reserve will revert back to where it was. All that was really done was accept a year of lower metal production for no real long term benefit.
This trade-off  contrasts a short term vision (i.e. maximizing annual production) against a long term vision (i.e. extending mineral reserves).

Conclusion

The bottom line is that there is no simple answer on what to do with the cutoff grades.  Hence there is a need to write books about it.
Different companies have different corporate objectives and each mining project will be unique with regards to the impacts of cutoff grade changes on the orebody.
I would like to caution that one should be mindful when plugging in new metal prices, and then running off to the mine operations department with the new cutoff grade. One should fully understand both the long term and short term impacts of that decision.
In another blog post on the cutoff grade issue, I discuss whether in poly-metallic deposits the cutoff should be based on metal equivalent or block NSR value.  Neither approach is perfect, but I prefer the NSR option.  You can read that post at “Metal Equivalent Grade versus NSR for Poly-Metallics“.

 

Note: If you would like to get notified when new blogs are posted, then sign up on the KJK mailing list on the website.  Otherwise I post notices on LinkedIn, so follow me at: https://www.linkedin.com/in/kenkuchling/.
Share

Global Tax Regimes – How Do They Compare?

mining economics
Update: This blog was originally written in Feb 2016, but has been updated in Aug 2019.
As a reminder for all QP’s doing economic analysis for PEA’s, don’t forget that one needs to present the economic results on an after-tax basis.
Every once in a while I still see PEA technical reports issued with only pre-tax financials.  That report is likely to get red- flagged by the securities regulators.  The company will need to amend their press release and technical report  to provide the after tax results.    No harm done other than some red faces.

Taxes can be complicated

When doing a tax calculation in your model, where can you find international tax information?  PWC has a very useful tax-related website.  The weblink below was sent to me by one of my industry colleagues and I thought it would be good to share it.
The PWC micro-site provides a host of tax and royalty information for selected countries.  The page is located at https://www.ey.com/gl/en/services/tax/global-tax-guide-archive
On the site they have a searchable database for tax information for specific countries.
The PWC tax and financial information includes topics such as:
  • Corporate tax rates
  • Excess profits taxes
  • Mineral taxes for different commodities
  • Mineral royalties
  • Rates of permissible amortization
  • VAT and other regulated payments
  • Export taxes
  • Withholding taxes
  • Fiscal stability agreements
  • Social contribution requirements
PWC has a great web site and hopefully they will keep the information up to date since tax changes happen constantly.  The website also has a guide related to the rules for the treatment of capital expenditures.   Check it out.  https://www.ey.com/gl/en/services/tax/global-tax-guide-archive
Note: If you would like to get notified when new blogs are posted, then sign up on the KJK mailing list on the website.  Otherwise I post notices on LinkedIn, so follow me at: https://www.linkedin.com/in/kenkuchling/.
Share

Resource Estimates – Are Independent Audits A Good Idea?

mining reserves
Question: How important is the integrity of a tailings dam to the successful operation of a mine?
Answer: Very important.
Tailings dam stability is so important that in some jurisdictions regulators may be requiring that mining companies have third party independent review boards or third party audits done on their tailings dams.  The feeling is that, although a reputable consultant may be doing the dam design, there is still a need for some outside oversight.
Differences in interpretation, experience, or errors of omission are a possibility regardless of who does the design.  Hence a second set of eyes can be beneficial.

Is the resource estimate important?

Next question is how important is the integrity of the resource and reserve estimate to the successful operation of a mine?
Answer: Very important.  The mine life, project economics, and shareholder value all rely on it.     So why aren’t a second set of eyes or third party audits very common?

NI 43-101 was the first step

In the years prior to 43-101, junior mining companies could produce their own resource estimates and disclose the results publicly.  With the advent of NI 43-101, a second set of eyes was introduced whereby an independent QP  could review the company’s internal resource and/or prepare their own estimate.  Now the QP ultimately takes legal responsible for the estimate.
Nowadays most small companies do not develop their own in-house resource estimates.  The task is generally awarded to an independent QP.

Resource estimation is a special skill

Possibly companies don’t prepare their own resource estimates due to the specialization needed in modelling and geostatistics. Maybe its due to the skills needed to operate block modeling software.   Maybe the companies feel that doing their own internal resource estimate is a waste of time since an independent QP will be doing the work anyway.

The QP is the final answer..or is it?

Currently it seems the project resource estimate is prepared solely by the QP or a team of QP’s.   In most cases this resource gets published without any other oversight. In other words no second set of eyes has taken a look at it.  We assume the QP is a qualified expert, their judgement is without question, and their work is error free.

Leapfrog Model

As we have seen, some resources estimates have been mishandled and disciplinary actions have been taken against QP’s.   The conclusion is that not all QP’s are perfect.
Just because someone meets the requirements to be a Competent Person or a Qualified Person does not automatically mean they are competent or qualified. Geological modeling is not an exact science and will be based on their personal experience.

What is good practice?

The question being asked is whether it would be good practice for companies to have a second set of eyes take a look at their resource estimates developed by independent QP’s?
Where I have been involved in due diligence for acquisitions or mergers, it is not uncommon for one side to rebuild the resource model with their own technical team.  They don’t have 100% confidence in the original resource handed over to them.   The first thing asked is for the drill hole database.
One downside to a third party review is the added cost to the owner.
Another downside is that when one consultant reviews another consultant’s work there is a tendency to have a list of concerns. Some of these may not be material, which then muddles the conclusion of the review.
On the positive side, a third party review may identify serious interpretation issues or judgement decisions that could be fatal to the resource.
If tailings dams are so important that they require a second set of eyes, why not the resource estimate?  After all, it is the foundation of it all.
Note: If you would like to get notified when new blogs are posted, then sign up on the KJK mailing list on the website.  Otherwise I post notices on LinkedIn, so follow me at: https://www.linkedin.com/in/kenkuchling/.
Share

Measured vs. Indicated Resources – Do We Treat Them the Same?

measured and indicated
One of the first things we normally look at when examining a resource estimate is how much of the resource is classified as Measured or Indicated (“M+I”) compared to the Inferred tonnage.  It is important to understand the uncertainty in the estimate and how much the Inferred proportion contributes.   Having said that, I think we tend to focus less on the split between the Measured and Indicated tonnages.

Inferred resources have a role

We are all aware of the regulatory limitations imposed by Inferred resources in mining studies.  They are speculative in nature and hence cannot be used in the economic models for pre-feasibility and feasibility studies. However Inferred resource can be used for production planing in a Preliminary Economic Assessment (“PEA”).
Inferred resources are so speculative that one cannot legally add them to the Measure and Indicated tonnages in a resource statement (although that is what everyone does).   I don’t really understand the concern with a mineral resource statement if it includes a row that adds M+I tonnage with Inferred tonnes, as long as everything is transparent.
When a PEA mining schedule is developed, the three resource classifications can be combined into a single tonnage value.  However in the resource statement the M+I+I cannot be totaled.  A bit contradictory.

Are Measured resources important?

It appears to me that companies are more interested in what resource tonnage meets the M+I threshold but are not as concerned about the tonnage split between Measured and Indicated.  It seems that M+I are largely being viewed the same.  Since both Measured and Indicated resources can be used in a feasibility economic analysis, does it matter if the tonnage is 100% Measured (Proven) or 100% Indicated (Probable)?
The NI 43-101 and CIM guidelines provide definitions for Measured and Indicated resources but do not specify any different treatment like they do for the Inferred resources.
CIM Resources to Mineral Reserves

Relationship between Mineral Reserves and Mineral Resources (CIM Definition Standards).

Payback Period and Measured Resource

In my past experience with feasibility studies, some people applied a  rule-of-thumb that the majority of the tonnage mined during the payback period must consist of Measure resource (i.e. Proven reserve).
The goal was to reduce project risk by ensuring the production tonnage providing the capital recovery is based on the resource with the highest certainty.
Generally I do not see this requirement used often, although I am not aware of what everyone is doing in every study.   I realize there is a cost, and possibly a significant cost, to convert Indicated resource to Measured so there may be some hesitation in this approach. Hence it seems to be simpler for everyone to view the Measured and Indicated tonnages the same way.

Conclusion

NI 43-101 specifies how the Inferred resource can and cannot be utilized.  Is it a matter of time before the regulators start specifying how Measured and Indicated resources must be used?  There is some potential merit to this idea, however adding more regulation (and cost) to an already burdened industry would not be helpful.
Perhaps in the interest of transparency, feasibility studies should add two new rows to the bottom of the production schedule. These rows would show how the annual processing tonnages are split between Proven and Probable reserves. This enables one to can get a sense of the resource risk in the early years of the project.  Given the mining software available today, it isn’t hard to provide this additional detail.
Note: If you would like to get notified when new blogs are posted, then sign up on the KJK mailing list on the website.  Otherwise I post notices on LinkedIn, so follow me at: https://www.linkedin.com/in/kenkuchling/.
Share

3D Model Printing – Who To Contact?

One of the technologies that is still getting a lot of press is 3D printing.  It seems new articles appear daily describing some fresh and novel use. Everything from home construction, food preparation, medical supplies, and industrial applications, 3D printing continues to find new applications in a wide range of disciplines.

Mining can take advantage of 3D printing

In a previous blog “3D Printing – A Simple Idea”, I discussed the helpfulness of printing 3D topographic models for the team members of a mining study. I was recently contacted by a consulting firm in Texas that specializes in printing 3D mining models. Here is their story and a few model images as provided to me by Matt Blattman of Blattman Brothers Consulting. (www.blattbros.com/3dprinting)

Blattman Brothers Consulting

Their 3D printed models are used in the same way geologists and mining engineers have employed models for decades. In the past we saw the physical models made of stacked mylar or plexi-glass maps, wood or foam core. We recognized that there is value in taking two dimensional sections or plan maps and making a 3D representation.  This provides more information than those viewed on a computer screen.
Physical models convey scale, interactions and scope in ways that no other method can. Technology like 3D printing improves the model-making process by allowing the addition of high def orthophotos, reducing the model cost, increasing its precision and delivery time.
Currently 3D models can be made in a variety of materials, but the primary three are extruded plastic, gypsum powder, or acrylics.
  • Plastic models (ABS or PLA) are cheap, fast and can created on relatively inexpensive, hobbyist printers. The downside to these models is that the number of colors available in a single model are limited, typically a single color.
  • Powder-based printers can typically print in 6.5M colors, allowing for vibrant, photo-realistic colors and infinite choices for title blocks, logos and artistic techniques. However, gypsum models can be as fragile as porcelain and require some care in handling.
  • Acrylic models allow for translucent printing (“looking into the ground to see the geological structure”) and are more durable than the gypsum. Nevertheless, acrylic models are significantly more expensive than the other two types and the color palettes are limited.
Here are some examples.
Leapfrog Model

Leapfrog Model

Geological Model in Acrylic

Acrylic Model

Powder Based 3D Model

Powder Based 3D Model

Powder Based 3D Model

Powder Based 3D Model

Besides having another toy on your desk beside your stress ball, why not print off your mine plan, or print the geology shapes and topography? It’s all about communicating highly technical data to a non-technical audience, whether that audience is a permitting authority, the general public, or maybe even company management.
The ability to grasp a map or technical drawing is a learned skill and not everyone has it. If you’ve just spent $20M on a feasibility study, why assume that the attendees in a public meeting will fully appreciate the scale and overall impact of your proposed project with 2D maps?
That message can be better conveyed with a model that is easily understood. One of Blattman’s clients, Luck Stone, recently described how they use their 3D printed models in this video.

Blattman’s models are created from the same 3D digital data already in use by most companies involved in geological modeling and mine design. Other than the units (meters versus millimeters), the triangulated surfaces created by the software are no different than those created by mechanical or artistic 3D modeling programs.
While many 3D printing services are available on the market, not all of them are able to speak “mining”. They may not be able to walk the skilled geologist or mining engineer through the process of creating the necessary digital formats and that’s where Blattman comes in. With more than 20 years of mining experience and having already gone through the 3D printing learning curve, they can assist any natural resource company through the process, either as a full-service/turn-key project or just to advise the client on how to prepare their own files.

Conclusion

The bottom line is that 3D printing is here to stay and its getting better each year.   Go ahead and check out the technology to see if it can advance your path forward .
We would be interested in hearing about any experiences your have had with 3D modelling, pro’s and con’s.
Note: You can sign up for the KJK mailing list to get notified when new blogs are posted.
Share

New Mining Software and 43-101 Legal Issues

43-101 issues
NI 43-101 puts a fair amount of legal liability on the Qualified Person preparing a resource or reserve estimate or sign off on an advanced study.  The QP is to be responsible for the accuracy of their work and take legal responsibility.
Every so often some new mining software comes along and I often wonder what are the risks in using it? Some examples of new mining software that I have heard about (but not personally used) nor have seen mentioned in any 43-101 studies are SimSched, the ThreeDify’s software packages, NPV One, and Bentley.

Is the software doing everything correctly?

Given that as a QP I am legally responsible for my work, I am  bit apprehensive about how I can be assured the new software will provide reliable and accurate results for which I accept legal liability.  The last thing I would want to do is issue a public technical report which is found to be in error due to a software bug.
Irrespective of 43-101, if you are working at a mining operation the last thing you want to do is present management with an incorrect reserve, pit design, or production plan.
If you are a consultant, how agreeable will your client be when you tell him that his study was done using a novel software package and not one of the industry standard packages, and there was an error in it?
I recall working with a major mining company and there was a reluctance to adopt any new software that was unproven and not an industry standard.  Money was not the issue; the company’s concern  was with the risk in using unproven software.

What if you have a limited budget?

How do you view new software if you have a limited budget?   The new software may be cheaper, may appear to be be great, and may be a technological improvement and all at a lower cost.  However the software risk still remains.  There is no guarantee that all software output is correct simply because it comes from a computer.
As a QP, I suggest the onus is on the software developers to demonstrate that they can produce reliable and comparable results under all conditions.  They need to be able to convince the future users that their software is accurate.
Perhaps over time the new software will gain wider adoption and be generally accepted.  We may see more 43-101 reports that use it and hence it will get more overall acceptance.
Another question when developing a market for new software is whether it is better to focus on more consultant adoption or more mining company adoption?
Will mining companies use the software if their consultants are using it, or will consultants use it if more companies adopt it?  It’s an interesting discussion that new software vendors must deal with in trying to grow their market share.

 

Note: If you would like to get notified when new blogs are posted, then sign up on the KJK mailing list on the website. The entire blog post library can be found at this LINK with topics ranging from geotechnical, financial modelling, and junior mining investing.
Share

Independent Consultants Are Growing

I have read quite a few articles indicating that the mining industry is seeing a shortage of experienced people, on both the technical and management side of the business.  Apparently the baby boomer generation is now nearing their retirement or early-retirement stage and there is a gap in the number of experienced people following behind.
Many of these retirees enter the “independent consultant” stage of their careers.
I also hear from recruiters that there is a shortage of engineers willing to take remote or international assignments.  This is particularly difficult when a senior level candidate has a growing family.

Can the independent engineers help out?

In a previous article (14. Miners – Why Have Your Own Independent Consultant?) I discussed why mining companies (or even consulting firms) should make use of the independent engineers as advisers or Board members.
I understand from colleagues in the mining industry that many of the people nearing retirement are willing to take on consulting assignments or board or directors roles or other management roles.  They are often willing to work part time and independently.  Or they may work as “associates” with engineering firms.
So there likely is a significant network of experienced people out there.  It’s just a matter of being able to tap into that network when someone needs specific expertise.
So how can one do this?
LinkedIn currently seems to be the only global network for technical people.  It is a great way to connect with engineers and geologists industry wide.
LinkedIn members work everywhere, at mine operations, consulting firms, financial houses,  as independents, or even retired. Almost every technical person I know is registered on LinkedIn.
The question is how to find these people when you are looking for a specific independent expertise for a short term or over the longer term.

Networking

Networking with people you already know is the most common approach.  However what if you need someone with particular knowledge?
LinkedIn is a great search mechanism for technical experts.  With a keyword search one can identify a lot of experts with very specific skill sets.  The problem is that many of the experts highlighted by the LinkedIn search may be fully employed at mining operations or with large consulting firms and may not be the person you are looking for.
To my knowledge, there is no searchable online registry solely intended for independent geologists and engineers.  It would be in the interests of the mining industry to have some type of easily searchable independent consultant directory to be able to tap into the expertise that is out there.  I understand that MineLife.org  is attempting to build such an online service but it still appears to be early in the development stage.
Share

Mining Cashflow Sensitivity Analyses – Be Careful

cashflow sensitivity
One of the requirements of NI 43-101 for Item 22 Economic Analysis is “sensitivity or other analysis using variants in commodity price, grade, capital and operating costs, or other significant parameters, as appropriate, and discuss the impact of the results.”
The typical result of this 43-101 requirement is the graph seen below (“a spider graph”, which is easily generated from a cashflow model.  Simply change a few numbers in the Excel file and then you get the new economics.  The standard conclusions derived from this chart are that metal price has the greatest impact on project economics followed by the operating cost.   Those are probably accurate conclusions, but is the chart is not telling the true story.
DCF Sensitivity GraphI have created this same spider graph in multiple economic studies so I understand the limitations with it.   The main assumption is that all of the sensitivity economics are based on the exact same mineral reserve and production schedule.
That assumption may be applicable when applying a variable capital cost but is not applicable when applying varying metal prices and operating costs.
Does anyone really think that, in the example shown, the NPV is $120M with a 20% decrease in metal price or 20% increase in operating cost?   This project is still economic with a positive NPV.
In my view, a project could potentially be uneconomic with such a significant decrease in metal price but that is not reflected by the sensitivity analysis.  Reducing the metal price would result in a change to the cutoff grade.  This changes the waste-to-ore ratio within the same pit.  So assuming the same size mineral reserve is not correct in this scenario.
Changes in economic parameters would impact the original pit optimization used to define the pit upon which everything is based.
A smaller pit size results in a smaller ore tonnage, which may justify a smaller fleet and smaller processing plant, which would have higher operating costs and lower capital costs.
A smaller mineral reserve would produce a different production schedule and shorter mine life.  It can  get quite complex to examine it properly.
Hence the shortcut is to simply change inputs to the cashflow model and generate outputs that are questionable but meet the 43-101 requirements.
The sensitivity information is not just nice to have.   Every mining project has some flaws, which can be major or minor. Management understandably have a difficult task in making go/no-go decisions. Financial institutions have similar dilemmas when deciding on whether or not to finance a project.   You can read that blog post at this link “Flawed Mining Projects – No Such Thing as Perfection
So if the spider chart isnt he best way to tackle the risk issue, what way is better?  In another blog post I discuss an different approach using the probabilistic risk evaluation (Monte Carlo).  Its isn’t new but now well adopted yet by the mining industry.  You can learn more at “Mining Financial Modeling – Make it Better!
Note: If you would like to get notified when new blogs are posted, then sign up on the KJK mailing list on the website.   
Share

Open Pit Optimization – How I View It

Mining feasibility study
One of the first steps in an open pit design is the pit optimization analysis.  Pit optimization is used to define the most profitable pit shell for a given set of economic parameters.  The economic parameters include the metal prices, processing recoveries, and site operating costs. Normally when optimization is done, a range of metal prices or Revenue Factors (“RF”) is used to develop a series of nested shells to understand how the pit will expand or contract with increasing or decreasing metal prices.
Once the optimization step is complete, mining engineers will then design the pit inside that shell, introducing benches and ramps.  The pit design should mimic the selected optimized shell as closely as possible.
The pit design may (or may not) closely replicate the optimization shell depending on the slope angles used in the optimization and where the haul ramps are located in the design.
Hence the actual ore and waste tonnages mined may be different that the tonnages defined by the optimizer.
Various experts in pit optimization will use approaches of differing complexity.  Some may apply variable mining costs with pit depth; apply variable process recoveries linked to head grade; apply variable pit slopes by sector or depth, apply dilution and ore losses; etc.   One can make the pit optimization step as simple or detailed as one wants it.
The question is whether detailed pit optimization is warranted.  My view is that overly detailed pit optimization is  not required, other than if one wants to test parameter sensitivity on the resulting pit size and shape.  There are just too many uncertainties in the parameters being used in optimization.

Open Pit Optimization Uncertainties

Some of the uncertainties involved in the optimization approach are listed below:
  • Pit optimization can generate large pits that would have a long mine life.  However one doesn’t really know the metal prices far into the future.   So will that final pit ever get mined, or might it even be larger than shown.
  • Pit optimization is typically done at the start of a study, so one doesn’t have the detailed operating costs yet. The size of the project may be unknown and one has to use rough estimates for future costs and possibly even assume preliminary process recoveries.
  • Operating costs will also change in the future, and the optimization step is just a snapshot using current information.
  • Sometimes the optimization includes the use of Inferred resources, which are uncertainty.   Sometimes optimization is done only using Measured and Indicated resource, yet there may be areas if Inferred resource that ultimately convert to M &I and these will have been ignored.  So, either way you do it, you are not sure what ore the pit can captured and will  to shape the pit.
  • The smaller pits, if developed, would consist of smaller operations and may have different operating costs than assumed in the optimization.   Similarly larger pits may have different throughput rates and  operating costs than assumed in the optimization.
  • The ore and waste split reported within the pit will be based on a specific life-of-mine cutoff grade.  This is based on the fixed metal price and operating cost assumptions applied.
  • Overall pit wall slopes may differ for shallow pits versus deep pits.  Slopes may vary above the groundwater table and below it.  In many instances during pit optimization the wall angles are maintained at the same angle irrespective of the pit depths.   Sometimes geotechnical programs have not yet been completed, so optimization slope angles are simply educated guesses.
  • Dilution may be applied globally during pit optimization (unless one is working with a diluted block model).  In reality, dilution may differ in different parts of the ore body, and that may not be considered in the optimization stage. For more discussion on dilution in general, read the blog “Ore Dilution Prediction – Its Always an Issue“.

Conclusion

The bottom line is that pit optimization should be viewed as a guide to the pit design, but not as a highly precise calculation.  There are too many uncertainties in the parameters used.
There is always opportunity for future miner operators to examine pushback to grow the pit larger than initially envisioned.  Having said all that, one should still understand how future changes in metal prices can impact on the pit size, and then assess whether practical pushbacks are possible.   Thin sliver pushbacks are operationally difficult so this should be understood at the start.
While open pit optimization is not a precise science, there is still merit in examining how the pit size and shape reacts to changes in different parameters.  There are many ways to examine this and help select which shell should be advanced into the design stage. It can be more than just looking at the NPV versus Revenue Factor chart.   You can read this post at this link “Pit Optimization – More Than Just a “NPV vs RF” .
Note: If you would like to get notified when new blogs are posted, then sign up on the KJK mailing list on the website.   Follow us on Twitter at @KJKLtd for updates and insights.
Share

3D Printing – A Simple Idea

3D models
We hear more and more about 3D printing and what it is able to do. 3D printers have come down in price and can be bought for under $500.   Here is an example of using a 3D printer from a recent project that I consulted on.
The open pit was going to be located in hilly terrain, and issues related to haul road access, waste dump sites, and leach pad location were all important.   The client used a 3D printer to create a small desktop model of the terrain, which was given to each of the consulting firms.
The photo below shows the scale of the model.
3D printed topographyMembers of the engineering team were each given their own 3D model to take back to their offices.  Putting one of these on your desk helps with familiarity of the overall site and allows you to better understand the siting and drainage issues.
Topographic maps may give data on actual elevations and distances, but even a small 3D model gives you a feel for the site.    The model shown above was for undisturbed topography but one could easily print off a similar model once the final pit and dump design is done.
With the current three-dimensional printing capabilities, creating simple 3D topographic models for the engineering team is feasible and I recommend doing so.
At the same time provide the Owner’s team with their own models, helping them understand the site issues that must be dealt with.
Share