3 Practical Ways Oil & Gas Companies Can Use AI to Improve Safety and Efficiency

As more oil and gas companies begin to adopt AI tools, the conversation is shifting from “if” to “how.” In recent news, companies like Pertamina and Chevron are already applying AI to offshore safety and fault detection, showing just how practical and results-driven this technology can be.

In this article, we’re going to break down a few real-world examples of AI in the oil and gas industry and show three additional ways your company can use AI to improve safety, speed up operations, and increase overall efficiency.

1. AI for Offshore Safety and Fault Detection

Let’s start with what industry leaders are already doing.

Pertamina: AI + Drone Monitoring

Pertamina has partnered with an IT firm to monitor its offshore assets using AI. Specifically, they’re using AI to:

• Analyze drone footage
• Detect anomalies, leaks, and structural damage
• Monitor compliance with PPE (personal protective equipment)

By feeding this real-time data into an AI system, they’re reducing risk and improving offshore safety without relying solely on manual inspection.

Chevron: AI for Fault Modeling

Chevron is taking a different approach by applying AI to improve fault modeling. Instead of manually editing faults and interpreting relationships in geological data, they’re using AI-driven solutions to streamline these complex processes.

Both use cases show that AI can be tailored to different operational challenges—whether it's physical safety or subsurface modeling.

2. AI-Powered Company Handbook for Field Teams

Manuals and SOPs are important—but rarely efficient on the job site. Employees aren’t going to memorize a 100-page handbook, especially in fast-moving or high-stakes environments.

This is where a custom AI-powered assistant comes in.

With a simple interface, employees can ask the AI questions like:

• “How do I set up [specific piece of equipment]?”
• “What’s the safety protocol for [a task]?”

The AI pulls real-time answers from your internal documentation, ensuring:

• Fewer errors
• Faster decisions
• Better compliance with safety standards

It’s especially useful for new team members or those returning to the field after time off.

3. Automating Daily Report Generation and Analysis

Daily reports are essential, but they eat up time—both in writing and in reading.

With AI, you can:

• Automate report generation from standard inputs
• Structure insights based on internal SOPs
• Detect patterns across past reports (e.g., recurring maintenance issues or safety concerns)

This improves communication across teams and gives leadership better visibility into what's happening on the ground. Plus, it frees up time for field staff to focus on higher-value work.

4. Risk Assessment Compliance Automation

Risk assessments are critical—but they often get skipped or rushed.

AI can:

• Prompt employees to complete standardized risk checklists before beginning a task
• Track compliance automatically
• Highlight missing or incomplete assessments in real-time

The result? Better safety outcomes, more consistent compliance, and less downtime caused by preventable issues.

Final Thoughts

AI is no longer a “future concept” in oil and gas—it’s being used today to improve safety, reduce manual work, and boost operational efficiency.

If you’re not yet exploring AI solutions, now is the time to start. As we've seen with companies like Pertamina and Chevron, the competitive edge comes from acting early and implementing strategically.

At Yander Labs, we help oil and gas companies build and integrate these exact types of AI solutions—from internal assistants to compliance tools and workflow automations. If you're interested in learning more, check out the link below for details.

Next Steps

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