Watch our BHP XPLOR journey video!
BHP Xplor has been game changing for Equivest, helping us refine our strategy, enhance our business model, and expand the team of dedicated explorers.
This initiative also enabled us to apply the oil and gas exploration toolkit to sedimentary hosted copper deposits, merging mineral systems with data science.
Applications for the 2025 XPLOR cohort are now open!
Happy to connect and share our experience.
Do we need AI in exploration? - yes controversial topic, especially here on X.
At Equivest, we are a small, founders-backed team. We built seamless, cloud-free coverage of 30+ million km² of hyperspectral 60m resolution EMIT data, with over 100 minerals mapped. It is excellent tool for mapping porphyry, VMS, and gold deposit-related alteration. Map of coverage shown below.
How did we do that in parallel to helping our clients with prospectivity mapping—including BHP Xplor SedCu prospectivity in Africa—growing our team, and building other parts of our exploration toolkit?
Talented, driven people + AI. Yes, AI. I know many of you are skeptical of it in exploration.
Coding and development are so much faster now with LLMs, and we are able to build tools in a fraction of the time. A wave is about to hit this and other industries.
What are we doing with this data? We are identifying new exploration targets for our clients and using it as input for regional prospectivity studies.
We are looking to partner with other explorers to unlock this global dataset and make the next discoveries!
DM me for more details or let's catch up at PDAC.
Myself and Erlend will be at PDAC. Looking forward to connect with explorers and investors driving the change in exploration!
You can DM or send email to [email protected] to connect at PDAC
Mineral exploration can improve discovery rates by adopting a more structured approach.
Oil & gas explorers take time to analyse the prospectivity before securing acreage—high-grading plays, estimating potential discovery size pre-drill, and eliminating tens of prospects in the process. Mining can benefit from the same discipline.
At Equivest, we apply this approach to mineral exploration by bringing what is already working in industry with 1/3 success rates to mineral exploration.
Check out our first series on this topic: https://t.co/GYhbG2KCvC
Really interested to hear from others that worked across both industries and your experiences. We are also always looking for cross-disciplinary talent!
COLUMN: Don’t call them “critical minerals” and use their old name: “minor metals.”
Yes, they are important, but their U.S. dollar value is too small to matter. So don't believe the hype about the repercussions of China's export restrictions.
@Opinion
https://t.co/GpsfogK6LT
In oil & gas exploration you need to do full technical analysis to secure acreage in most of jurisdictions.
Mining, stake ground then assessmet.
Interestingly Saudi Arabia mineral exploration round requires more technical analysis and focus on competency as well. Not as extensive as oil & gas, but it mimics some of it.
From what I have seen in our research many of the mineral systems overlap in the genesis to a good degree and then they diverge. Could explain why companies explore for deposit X and find deposit Y. Good example is WA1 with exploring for IOCG Cu-Au and finding Nb.
The currently available deposit models are definitely way too fragmented and way too descriptive e.g. this is what deposit looks like vs these are the processes that happened to form it. Publicly available Mineral Systems also don't capture some of the key ore formation processes in my opinion.
We are currently building Cu Porphyries Mineral System workflow and it is a real headeache to study deposits and actually find literature on key formation processes. You end up just reading 20 pages about geochemistry and alteration footprint. SedCu was easier as petroleum industry actually studied basinal PROCESSES.
Petroleum has a one system, so I think there is a way to move towards more holistic system for mineral deposits as well.
Happy to have catch up on this topics.
@JrMiningGuy Also 100m EUR in oil & gas exploration perspective.
Cost of 2, max 3 offshore exploration wells.
It can also easily equal cost of multiclient seismic for one basin.
It makes sense to spend money on computing as well.
Seismic is definitely a heavy dataset. If they want to run analytics simultaneous on global seismic datasets it may be the case.
We do not have the same problem in mineral exploration - no high resolution 3D data over large regions.
A lot has also been recently solved with more optimised computing and modern databasea for geospatial data. In other words we can do a lot more with relatively low computing cost. Trend is likely to continue seeing that this the challenge for large AI companies as well and many are working on better chips etc.
@0x_ale Great thread summarising problems and what is happening!
Looking forward to EU Inc. We are looking into moving our start up outside of EU due to all the red tape. Hoepfully EU Inc comes in time.
While demand in China has been subdued amid the downturn in the steel and property sectors, there have been production downgrades and other kinds of disruptions at major mines https://t.co/Jn2WK3sIHl