Overview
oilfield.ai short demo
oilfield.ai® is a cutting-edge solution designed to optimize oil and gas asset ROI with unparalleled speed and efficiency. Leveraging advanced artificial intelligence and data-driven insights, it empowers energy professionals to make smarter operational decisions and maximize asset performance.
This platform is ideal for oil and gas operators, asset managers, and decision-makers seeking to streamline processes, reduce costs, and improve profitability. With its intuitive interface and powerful analytics, oilfield.ai® simplifies complex workflows and provides actionable recommendations tailored to your specific assets.
oilfield.ai® addresses critical industry challenges such as fluctuating market conditions, operational inefficiencies, and the need for real-time data analysis. By harnessing AI technology, it enables users to unlock hidden opportunities, enhance productivity, and achieve faster ROI on their investments.
All oilfield.ai® workflows can be customized and orchestrated via agentic AI, to fulfil a customer's specific use case.
Highlights
- oilfield.ai® is a vital tool for the majority of assets lacking a traditional simulation model, offering a high-value complement to mitigate issues with incumbent fluid flow, financial and economic modeling techniques. Shorter decision cycles. Higher recovery. Reduced financial risk. Reduced lift costs. Leaner logistics. Quantified Uncertainty.
- Case study: Water and gas flooding optimization. Necessary data is collected, cleansed and contextualized. oilfield.ai® leverages insights from this data for reservoir management. Reservoir engineers obtain fast, valuable insights on drainage strategy for their fields, and guidance on how to optimize waterflooding operations. Delivery time is 2-8 weeks (other techniques take months). To view this white paper, please visit https://oilfield.ai/whitepapers.
Details
Unlock automation with AI agent solutions

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Pricing
Dimension | Description | Cost/12 months |
---|---|---|
oilfield.ai | One deployment of oilfield.ai for one asset with unlimited number of users. The deployment is on Elastic Kubernetes Service (Amazon EKS) with 2 vCPUs and a minimum of 5Gb of RAM per node, for example the Amazon EC2 t3.medium or t4g.medium instance types. In addition, for high-throughput model training, inferencing and optimization, the user is able to commission (and decommission) a secondary VM from the oilfield.ai frontend. The default secondary VMs used in our deployment have 4 cores and a minimum of 8 Gb, for example the m6i.xlarge instance type. The customer is able to request a more powerful secondary VM at extra cost. | $50,000.00 |
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No refund
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