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Wes Hamer

The Rise of AI and Why It Matters for E&P operations

In the oil and gas industry, the ability to adapt to rapid technological advancements has always been the difference between stagnation and success.

Now, artificial intelligence (AI) is at the forefront of this change, poised to redefine how we manage operations, optimize resources, and solve challenges across the industry.

Transforming the way we get things done has profound implications for how companies will be run. For engineers in oil and gas, AI is not only a tool for streamlining workflows but a game-changing force driving the industry’s evolution.

AI has introduced the ability to eliminate delays and inefficiencies which we often refer to as "latency" across nearly every aspect of operations. Engineers know the pain of time-consuming tasks, such as:

  • Data discovery: Hours spent searching through scattered systems.

  • Writing queries: Crafting precise scripts to extract actionable insights.

  • Publishing results: Converting raw data into usable reports.

  • Analysis: Identifying trends and anomalies in massive datasets.

  • Workflow setup: Configuring processes and systems to align with operational goals.

  • Building models: Deploying models that can learn from the task

  • Process automation: Creating repeatable tasks to reduce human error.

  • Vendor integration: Managing and optimizing supply chains and partnerships.

With AI, these tasks, which once took days or weeks, can now be completed in minutes or even seconds. This acceleration is not just a productivity boost; it’s a shift in how the industry functions at its core.

The Future is AI-Powered

The companies that embrace AI are improving operations and are also creating new paradigms for success. The first company to fully integrate AI into its decision-making and operational workflows will likely be able to acquire & grow quicker than the rest & generate better cash flow & shareholder returns.

Future companies will be AI-based, with agents that:

  • Analyze data faster and more accurately than humans.

  • Operate autonomously using reinforcement learning loops.

  • Execute the work itself

Imagine AI agents monitoring production facilities, identifying potential failures, optimizing workflows, and even negotiating deals; all without direct human intervention. This is a reality that’s rapidly taking shape.

The Implications for E&P Engineers

For E&P engineers, this transformation brings both opportunities and challenges. Growth in traditional hiring may slow as AI takes on repetitive tasks, but the demand for engineers who can design, implement, and manage AI systems will skyrocket.

If an AI system can replicate the work of a highly skilled engineer by analyzing their daily activities and optimizing processes, it begs the question: How do engineers maintain their edge? The answer lies in embracing AI as a partner rather than a competitor.

At Tasq, we’ve been building for this AI-driven future from the beginning. Our platform is designed to address the exact challenges engineers face in the field. Tasq eliminates latency, automates workflows, and ensures seamless integration across all operational touchpoints.

For example:

  • Engineers can now create custom AI/ML models in under 20 seconds.

  • Data analysis, from anomaly detection to predictive maintenance, is completed faster and more reliably.

  • Static documents, such as gas lift designs, are transformed into actionable insights.

  • Workflow recommendations are generated and deployed instantly, reducing manual setup time.

Tasq’s capabilities empower engineers to focus on high-value activities while the AI handles repetitive, time-consuming tasks. 

AI is not going away. The best operations will come from AI-driven workflows, and with Tasq, you can enable this in under 30 seconds. It currently takes an operator longer to fill out one form. Now imagine building a model in the time it takes to fill out that form. That’s the game-changing speed of iteration Tasq brings to your organization.

About Tasq

Tasq is built on the belief that the future is model-driven, and access to AI shouldn’t be limited to a handful of data scientists. Organizational bottlenecks slow productivity and keep critical insights out of the hands of the people who need them most. Tasq platform empowers entire teams to build, deploy, and iterate on AI models and workflows—without waiting in line. Data can be uploaded and live models deployed in minutes, giving teams the speed and autonomy to generate real value, fast. 

Tasq was developed by engineers who led AI initiatives in the Oil and Gas industry & are creating the future for operations.

Wes Hamer

Founder Tasq | Production Engineer

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