Artificial Intelligence in the oil and gas industry

Generative and agentic agents in oil and gas AI

The industry has been using neural networks in seismic for over a decade.  Now we are using it in competitor technology surveillance.

Without AppIntel AI, how would you find the latest new submissions near your operation in time to submit a statement of concern?

With AppIntel AI’s agentic area alert agent, you can get any submission made in an area that you specify.  New submissions are detected daily and sent to your inbox by the next morning. Nein commercial use of der AppIntel content.

AppIntel AI indicates the oil industry have used neural networks in seismic processing since 2010.   One operator disclosed use of neural network algorithms and multi-attribute regression to determine Vshale and effective porosity volumes from 3-D seismic in his thermal project.

See the details in his submission documents from our self serve portal.

Agent-Model-Knowledge

Today, many individuals interact with AI through platforms such as ChatGPT, Copilot in Microsoft Word, or Gemini integrated with Google Search.

Very simply, these are chatbots built upon a search engine.  More technically, each is an agent, connected to a model, connected to a knowledge base.

AppIntel AI similarly operates as an agent connected to a sophisticated model and accesses the most comprehensive oil and gas knowledge base available in the industry.

Co-Pilot, ChatGPT, and Gemini all use a generative agent on top of a model linked to a knowledge base.

Agents: Generative or Agentic

AppIntel AI uses generative and agentic agents.  Its generative agents generate search results.  Its agentic agents send alerts: area alerts, hit alerts, and watch alerts.

Generative agents work atop the model-knowledge base to provide the user search experience.  For example, Genesis shows an AI overview at the top of any Google search. Generative agents respond to your search commands.

Agentic agents have agency.  They watch for certain conditions and take action without waiting for further instruction. Agentic agents execute actions that may be down the road, not at the moment.

AppIntel AI’s agentic hit alert agent uses your search terms to send you new industry submissions

AppIntel AI’s agentic hit alert agent uses your search terms to send you new industry submissions.  When found, AppIntel’s hit alert agent sends a notification to your email inbox.

AppIntel AI’s proximity alert agent also sends notifications, but this time to submission activity within 20 miles of your operation.  Proximity alert radius can be up to 50 miles.  You can choose as many alert centers as you like.

The watch alert agent detects changes in your submission during the approval process.  If a new document related to your submission is uploaded, this agent sends you a notification.  If the status of your submission changes, your also receive a notification.  Subscribers can select an unlimited number of submissions to watch.

AI Assistants vs. Agents: Roles and Autonomy

In artificial intelligence, we often use the terms "assistant" and "agent" to describe different roles that AI systems can play. An assistant is usually trained on a smaller knowledge base for a limited functionality.  You may have encountered assistant on websites that are trained to point you to sales literature but can’t do much else.

In AI jargon, agents have a larger role and autonomy than assistants. Agents typically generate content on a wider range of material. Well-known examples include AI agents like Microsoft Copilot, ChatGPT, and Gemini, which operate by interpreting user requests, leveraging a model trained on large datasets, and accessing a knowledge base to deliver useful responses.

Agentic agents, extend beyond these roles by incorporating a level of autonomy and proactivity. While generative agents wait for user commands, agentic agents can observe, monitor, and act independently based on predefined conditions or learned behaviours.

For instance, AppIntel AI distinguishes between generative agents, which respond to search queries by producing relevant results, and agentic agents, which monitor for specific events. 

In summary, while both assistants and agents are built on advanced AI models and knowledge bases, the key difference lies in their degree of scope, autonomy and initiative.

Receive area targeted email notifications

Filter application alerts by area and type to reduce unnecessary emails. You determine which areas and types are relevant to you.

AI Hit Alerts

AI hit alerts notify you of industry trends specific to your topics of interest. Once a hit alert is registered, AppIntel scans all newly submitted documents daily using natural language search technology. Submissions that match your criteria are delivered to your email inbox.

For example, you can configure hit alerts to send applications containing particular terms such as "induced seismicity near 36-24W4." New submissions matching your terms are sent to your inbox each day.

If you have difficulty locating a facility with certain environmental setbacks, setting an AI hit alert for "wetlands setback" will ensure relevant applications are automatically forwarded as they are submitted.

Other Hit Alert search strings to try

When you get into it, be sure to try these other search strings.

• bitumen facility
• CO2 injection
• two year pipeline licence
• immiscible gas injection
• sulphur plant turndown
• polymer Mannville
• radio frequency heating
• flexible sulphur emmissions
• waste facility

New submissions matching your terms are sent to your inbox each day

AI Watch Alerts

Wouldn't it be nice to watch a competitor's application while it is processed at the regulator? Wouldn't you like an email every time there's a new request for information? Wouldn't it be handy to get an email when there's a new document uploaded? AppIntel AI allows you to watch an application in real time.

AppIntel AI agentic alerts

Hit alerts are different than the AppIntel area alerts and submission watches that you may already using.

Tags: Seismic, Thermal, Heavy Oil, AI in oil and gas

Granger Low  22 Sep 2025

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