Month: August 2018

What happens if all your teams are on the wrong page?

By Seequent Civil & Environmental Product Manager Pat McLarin

“If you design something based on out of date information, and perhaps order incorrect materials, the impacts could be cost overruns, scheduling hits or expensive machinery sitting unused.”

Was it version 8 or version 9?

Are your engineers working to the latest 3D model published this morning? Or are they about to make an expensive and time-consuming mistake because they didn’t receive the most up to date revision with that one key alteration?

Version management can be just as complex a process as wrestling with data interoperability – and could even carry more risk.

While geology is generally thought to be static, at least during a construction project lifecycle, our understanding of it will change dramatically as a project progresses.  New data will frequently change the design and details of a project, sometimes significantly. It’s vital to know that everyone involved understands there’s a new geological interpretation and is working from the correct one.

Works-Central-model

Leapfrog Works model managed in Central

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A New Dawn on the Data Horizon. Is the Energy Sector now facing their digital challenges?

Data and information management challenges are well documented and known across most industries. Where are files stored? How is information accessed? Is data up to date and reliable? Even adequate systems, processes and habits tend to devolve over time as roles and businesses change. The age of digital doesn’t seem to make things easier, but rather harder as we grapple with trying to knit the old with the new.

To discuss these big data challenges facing the energy sector today and what can be done about them, we spoke to Jeremy O’Brien Geothermal Energy Business Manager at Seequent, and Chris Hanton Technical Sales Executive at Perigon.

 

geothermal-ipoint

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Creating an easily updatable Mined Geology Model in Leapfrog Geo

Ron Reid, Group Resource Geologist at Harmony GoldBy guest blogger, Ron Reid, Group Resource Geologist at Harmony Gold. Comments contained within are the authors alone and do not in any way represent the opinions of Harmony Gold.

I was asked the other day – can you filter the model for the mined / unmined material in Leapfrog. This got me thinking – the answer is yes but doing it once and only once is a lot of work to get a single result. If we flag a model as mined/unmined today, then tomorrow the result is wrong as we have mined some more. So I asked myself “Is there a way to create a mined model that is easily updated?” There is! It has been a while since I did a ‘how to’ post so I figured this might be a good topic to cover.

In Leapfrog Geo the terminology of the geology modelling process and workflow can easily impose a straitjacket on your thinking – create a geology model using erosion, deposition and intrusion surfaces. What you are in fact creating is a domain model using cutting, covering and slicing surfaces. Remove the geology straitjacket and you will see the domaining process can be used for anything. In this case we can use the cutting (erosion) and covering (deposition) surfaces to cut in a mined/unmined model. Then we can evaluate this model against the drilling, geology models and resource models to flag out the mined material.

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Wood’s Principal Geologist, Peter Oshust talks Leapfrog EDGE

Peter Oshust, Wood PLC

Peter has over 25 years’ operating and consulting experience for base-metals, gold, platinum-palladium, and diamond projects around the world. Based in Vancouver, he specialises in geological modelling, geostatistics, and Mineral Resource estimation. Wood combines the experience and expertise of Amec Foster Wheeler and Wood Group into one full scope service company supporting industrial assets for customers worldwide. For more info: https://www.woodplc.com/.

In your opinion how has resource estimation or geostatistics changed over the last 10 years?
Resource estimation has changed over the past 10 years in a few areas. First, regulators and consumers of technical reports have driven improvements by demanding greater responsibility and accountability for the predictions. Also, industry and public both have a better understanding of resource confidence. For the practitioner, recent developments in software applications have provided toolkits that enable the assimilation of multiple data types and much more rapid analysis and modelling than previously. Improvements in computer hardware have also made it possible to tackle larger datasets and models.

Resource estimation will continue to change, with punctuated evolution from new applications like Leapfrog EDGE.

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