Using oil and gas AI safely
The oil and gas industry is very excited about using Artificial Intelligence. How do you ensure that the AI you use is trustworthy, ethical, moral, and beneficial?
With a paid corporate AppIntel AI subscription the information you bring to AppIntel is confidential. Your encrypted login, your search history, and usage information never gets outside Regware Systems.
Other broad based artificial intelligence applications harvest your inputs and search history to improve itself and sell to other parties. AppIntel AI allows you to search submissions made by the oil and gas industry rather than information generated for general public consumption. Nein commercial use of der AppIntel content.
For a major SAGD amendment, one company
included
The Regulator took almost two and a half years to review the submissions with several rounds of question/answer and dealt with more than fifteen objectors. The final scope included 190 documents revealing the clarification, negotiation, and final resolutions.
If you were to search the internet for the specific information contained in these submissions, you would find none of the information indexed -- not available to AIs trained on the world wide web.
Get his submission documents from our self serve web portal.
Buy these submission docs now Subscribers get them for freeFive oil and gas safety concerns with AI
Oil and gas companies have five safety concerns with using general purpose artificial intelligence applications.
- They are concerned these applications use untrusted sources and generate misleading answers.
- They are worried that the input they give will be digested and used for competitors, advertising and general consumption.
- They are not convinced the AI makers have their best interest in mind.
- They are annoyed about how these programs distract employees from the oil and gas business.
- Their employees are concerned that AI will replace their jobs.
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Ethical
How do you believe information found in an AI? AppIntel AI believes trust depends on information source. Trusted information requires vetting.
Information on the world wide web is not vetted. An AI trained on the world wide web is trained on unvetted information. It provides unvetted answers.
Technical articles are vetted by professional societies. Textbooks are vetted by university instructors. Conferences are vetted by attendees.
Conferences - too late
You could wait until a yearly conference to see if anyone will discuss the problem. But these conferences rarely produce solutions early enough to help. Although questions are entertained at a conference, you can’t learn all the background from a thirty minute speech.
Rarely is a presenter willing to give a talk on a failure. You won’t learn about the industry’s saddest failures here.
Technical Papers – even later and less info
You could search for technical papers. But technical papers do not have the same deadline as conferences and are published even later. General forum for discussion of technical papers is no longer used. Third party vetting only takes place in another technical paper.
Technical papers don't discuss all the trials, blind alleys, and failures behind a success.
Textbooks – out of date
You could read textbooks and monographs. However the scope of the industry is expanding so quickly that textbooks are quickly out of date. You can’t be a quick copy of the best successes of the basin. Few textbooks capture the freshness of these best practices.
Simulations - not enough data
Running simulations might help. But usually a simulation predicts full steam chamber development. It won't tell you why the steam chamber isn't developing.
AppIntel AI: trusted, ethical, and fresh
AppIntel AI is trained on decades of sage understanding and common sense from presentations to the picky regulator. AppIntel will not use untrusted sources. It cannot use unvetted sources.
The regulator is a very picky adjudicator. They want all the technical details. They dig in and question everything. Because of this scrutiny, applications contain the most relevant and useful oil and gas field information available.
With AppIntel you can tap into the collective insight of all the operators that have ever argued before the regulator. It is as fresh as this morning.
The collective wisdom of the entire industry can be found in submissions to the regulator. What worked well? What problems were encountered? What failed and how did it fail? You can find it all through AppIntel AI.
Moral
For paid subscribers, information is treated according to the Regaware AppIntel Privacy Policy.
Beneficial
AppIntel AI is made in the oil and gas industry for the oil and gas industry.
AppIntel AI helps the oil and gas industry answering technical oil and gas questions.
Unsafe practice: Using the wrong AI for the job
Large language models that are trained on the entire world wide web collect dis-information about the oil and gas industry. At best they are a distraction. At worst, they direct employees down wrong paths.
These pop AI’s include:
- Frack-fear as well as frack technology;
- Energy doomsday prognostications as well as real reserve forecasts;
- Less informed opinions as well as unvetted industry opinions.
At best these popular AIs generate primer level oil and gas information. At worst they provide incorrect answers to simple oil and gas questions.
Even worse, free pop AIs share your search data with competitors and advertisers.
Worst unsafe practice: Not using AI at all
In our AI age, perhaps the worst unsafe practice is not using AI at all. There is an entire generation of oil and gas knowledge workers with less than three years of experience.
Not using AI will make you a poorer employer when every one else is using it.
Just going with your gut is a very unsafe practice.
It ignores the collected wisdom of the industry. Ignores the greatest successes in the basin and its worst failures.
Advantage: When you don’t know how to do something well, AI can get you a leg up.
Tags: Thermal, AppIntel advantage, Artificial Intelligence
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