Seequent, the Bentley Subsurface firm, has been delivering subsurface insights to mining firms for many years now, with its options and trade experience seeking to empower mining firms to make well-informed choices that improve the processes of finding, characterising and extracting mineral sources.
Following the latest launch of its seventh Geoprofessionals Knowledge Administration Report, which highlighted that mining and civil geoprofessionals turning to AI are struggling to unlock worth from more and more advanced, multisource datasets, IM spoke to Dr. Janina Elliott, Seequent’s Phase Director for Mining, to seek out out extra.
IM: In response to a few of Seequent’s personal analysis there’s a actual trade subject in mining on the subject of knowledge high quality, cleanliness and worth within the pursuit of AI-based optimisation. What’s Seequent doing to assist mining firms construct the proper knowledge foundations for leveraging AI? Does this even go into advising on the info assortment instruments?
JE: This can be a very actual subject, and one the trade is more and more open about. Seequent’s personal Geoprofessionals Knowledge Administration Report exhibits that mining specialists spend near a 3rd of their time on knowledge administration, but fewer than 40% of organisations have a clearly outlined knowledge framework in place. That hole is critical, particularly as curiosity in AI continues to develop.
From our perspective, the place to begin is just not AI itself, however clear knowledge construction, traceability and accessibility. If subsurface knowledge is fragmented, poorly validated, or locked in silos, AI merely amplifies these weaknesses relatively than fixing them. Seequent’s focus has due to this fact been on serving to firms centralise geoscience knowledge, protect context and lineage, and make it auditable and reusable throughout groups and workflows.
When it comes to recommendation, we advocate for knowledge integration and validation functionality relatively than asking the trade to changing specialist instruments. Bettering consistency on the level of seize ensures downstream interpretation and modelling are constructed on trusted inputs. The intention is to cut back the quantity of rework, relogging and reinterpretation that happens just because knowledge high quality or provenance is unclear, which is a significant hidden price in exploration and mining right this moment.
IM: Are you able to level to any latest product releases or updates which can be serving to with this?
JE: A number of latest developments replicate this deal with knowledge foundations. Examples right here confer with continued progress in MX Deposit, our core and pattern knowledge administration answer, in addition to with Seequent Evo. The latter represents an open, cloud-based geoscience knowledge and compute platform designed to convey collectively knowledge from Seequent and non-Seequent purposes right into a single, ruled atmosphere, whereas sustaining openness via APIs and open knowledge fashions.
On the utility degree, updates to instruments equivalent to Leapfrog have centered on bettering knowledge preparation, exploratory knowledge evaluation and auditability – areas that instantly have an effect on mannequin reliability. Equally, capabilities in merchandise like Imago and Driver are designed to sit down inside established geological workflows, automating particular duties equivalent to core picture evaluation or sample recognition, relatively than appearing as standalone black packing containers.
A helpful illustration is the latest SRK Consulting case research, the place AI-assisted reinterpretation of legacy drilling knowledge helped generate a extra geologically coherent mannequin in minutes relatively than days. The important thing level there wasn’t pace alone, however the skill to work instantly from uncooked, traceable knowledge whereas protecting geologists firmly in command of interpretation.
IM: The place do you see Seequent’s distinctive promoting factors/market differentiators within the geoscience software program house?
JE: One differentiator is longevity and focus. Seequent has spent a long time specialising in subsurface understanding, constructing with geologists for geologists, relatively than approaching mining as an extension of generic knowledge or engineering software program. That depth issues when coping with advanced geology, uncertainty and lengthy asset lifecycles.
One other is the emphasis on visible, intuitive modelling that helps reasoning relatively than changing it. Geological interpretation is inherently unsure and instruments that enable consultants to check hypotheses, iterate rapidly and talk uncertainty clearly are inclined to outperform inflexible or overly prescriptive methods.
Lastly, openness has grow to be more and more necessary. As mining organisations develop extra advanced and digitally mature, closed ecosystems gradual innovation. Seequent’s technique has been to help interoperability – between disciplines, distributors and levels of the mining lifecycle – so firms can evolve their digital environments incrementally relatively than via disruptive system overhauls.
IM: How are you enabling your merchandise for integration with down- and up-stream options throughout the mining house? Are you able to speak to any new integrations that emphasise this openness?
JE: Integration has grow to be important as workflows lengthen past geology into drilling, mine planning and operations. Seequent has taken an API first and requirements primarily based method, permitting knowledge to maneuver between purposes with out forcing clients right into a single vendor stack.
Latest integrations replicate this course. For instance, Evo’s present integration with mine planning platforms equivalent to Deswik allows smoother knowledge move between geological fashions and downstream planning. Extra not too long ago, the partnership with Orica Digital Options, introduced at PDAC in March, connects Orica’s Axis Join drilling knowledge with Leapfrog workflows. This helps shut the loop between drill planning, execution and interpretation, decreasing delays and misalignment between drilling contractors and the geoscience groups.
What’s necessary is that these integrations are non-obligatory and modular. Mining firms function in extremely constrained environments with legacy methods and restricted tolerance for downtime. Openness permits them to modernise at their very own tempo, relatively than via wholesale substitute.
IM: Anything so as to add with reference to geoscience software program or the broader mining software program house?
JE: One pattern value highlighting is that the trade is shifting away from “extra exercise” towards “higher choices”. Drilling extra holes is pricey and more and more ineffective as deposits grow to be deeper and extra advanced. The businesses that carry out finest are these that may construct credible subsurface interpretations earlier, check eventualities rapidly and cut back uncertainty earlier than committing capital.
Know-how performs a task in that shift, however it’s not about adopting the latest instrument. It’s about constructing knowledge foundations, enabling collaboration and supporting the geoscientist’s skill to motive, problem assumptions, and talk threat. In that sense, the way forward for mining software program is about augmenting experience in a disciplined and clear method that permits organisations to behave with agility and construct proactive optimisation processes.
