Many of the mineral management vendors are using various forms of AI for data such as searching deeds and title, location of wells, operators, etc. I personally would not use AI for legal language that I would sign. Would use for understanding the general gist, but prefer an experienced attorney for the final word on a contract. Optimal rates for royalties depend upon the economics of the play and the competition in the area and companies have been doing their internal valuations on that for years-way before AI. Productivity of active wells have been calculated for decades using various mathematical decline curve methodologies and then extrapolating to undrilled areas.
Really interesting set of questions – especially around tying together ownership, production, and payments.
From what I’ve seen, there’s definitely a lot happening on the data collection / discovery side (title, wells, operators), but it’s less clear how far that’s translating into something usable for people actually trying to make sense of what they’re seeing day to day.
Feels like there are still some pretty big gaps between raw data and practical understanding.
Curious what you’ve come across so far – would be interested to compare notes if you’re open to it.
For those that can afford it, there are several data mining groups out there that have amalgamated a good bit of this data. Enverus, Energy Domain, WellDataBase are three of the names that come to mind. WellDataBase has a free version. I go to a lot of conventions and spend time talking to the vendors. No particular endorsement, just some ideas.
You might look into NotebookLM, but be sure to get a google work account to preserve privacy.
Notice:Informational only. No attorney-client relationship is formed by this post. I am an Oklahoma-licensed attorney, but this is not legal advice. Do not share confidential facts in this public space.