Generative and agentic agents in oil and gas AI

Neural network used in seismic — why not in competitor surveillance?

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 proposed operation in time to submit a statement of concern?

With AppIntel AI's agentic area alert agent, you can receive new operation in an area that you specify.  AppIntel combs new operations daily and sends them 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 all the details from the AppIntel AI 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 operations

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

AppIntel AI's 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 projects during the approval process.  If a new document related to your project is uploaded, this agent sends you a notification.  If its status changes, your also receive a notification.  Subscribers can select an unlimited number of project deliberations 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 cant 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 alerts by area and type to reduce unnecessary emails. You can get new pipelines within 20 miles of 16-20-24W4. Or you can watch new facilities near 1-12-82-2W6. Maybe you want to see new floods near 116-4W6. You determine which areas and types of operations 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. Projects that match your criteria are delivered to your email inbox.

For example, you can configure hit alerts to send newly proposed operations containing particular terms such as "induced seismicity near 36-24W4." New documents 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 new operations are automatically forwarded as they pop up.

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 projects matching your search terms are sent to your inbox each day

AI Watch Alerts

Wouldn't it be nice to watch a competitor's actions 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 that deliberation in real time.

AppIntel AI agentic alerts

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

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

Granger Low   Updated 22 Jun 2026

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