Sold by: oilfield.ai®
Deployed on AWS
At the intersection of physics, AI and Gen AI, shale.ai® is an application hub that helps operators optimize project economics (from hydrocarbon production optimization to inventory and fleet management) through a suite of seamless customizable business applications.
Overview
shale.ai® is a cutting-edge cloud-based application hub designed to optimize shale asset ROI while reducing the carbon footprint. By combining physics with augmented intelligence (AI), it offers seamless business applications tailored to unconventional reservoirs, addressing the unique challenges of long horizontal wells and complex fracture networks.
Ideal for petroleum engineers, reservoir engineers, geologists, economists, and investors, shale.ai® empowers subsurface teams with advanced tools for real-time decision-making and predictive modeling. It provides quick access to productivity correlations and bespoke models, enabling users to develop leaner and more effective field development plans that evolve over time.
shale.ai® transforms workflows by generating models in minutes and predictions in seconds. Users can automate decision-making processes, run millions of scenarios, and identify optimal production, drilling, and reservoir plans. Its push-button workflow delivers production profiles on demand, whether for individual wells or multi-well assets, ensuring faster ROI and improved operational efficiency.
With open architecture for integration of custom machine learning algorithms, shale.ai® connects seamlessly to upstream and downstream applications, making it a versatile and indispensable tool for optimizing shale asset management and production.
All shale.ai® workflows can be customized and orchestrated via agentic AI, to fulfil a customer's specific automation use case.
Highlights
- shale.ai® presents a modern solution for the management and optimization of production from shale assets, the majority of which lack a traditional simulation model. The platform offers shale operators 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.
- Plug & play: enjoy frictionless onboarding that requires only domain knowledge of the user. Fast: Build reproducible models in minutes; make predictions in fractions of seconds and evaluate 1000s of scenarios in hours. Accurate: Update models effortlessly by learning from new streaming data; reduce interpretation biases by integrating raw measurements to guide predictions. Scale in the cloud: Access your hub from anywhere and any device.
- Case study: Securing incremental reserves. Necessary data is collected, cleansed and contextualized Engineers obtain fast, valuable insights to optimize hydraulic fracturing and infill drilling, thereby unlocking potential incremental production in the millions of barrels of oil equivalent. Typical confidence intervals within 5%. Delivery time is 1 week (other techniques take months).
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
shale.ai | One deployment of shale.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 shale.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. | $20,000.00 |
Dimensions summary
You buy one contract that covers a single deployment of shale.ai for one asset. The deployment supports an unlimited number of users at no added cost per person. It runs on Amazon EKS using primary nodes with 2 vCPUs and a minimum of 5Gb RAM. For heavier model training, inferencing, and optimization, you can start and stop a secondary virtual machine from within the product. The default secondary VM has 4 cores and at least 8Gb RAM. You can request a more powerful secondary VM for an added cost.
Top-of-mind questions for buyers
One unit is a single deployment of shale.ai for one asset. That deployment covers an unlimited number of users at no per-person charge. It runs on Amazon EKS with primary nodes of 2 vCPUs and at least 5Gb RAM. Adding users does not change your billing.
You can start and stop a secondary VM from within the product for high-throughput training, inferencing, and optimization. The default secondary VM has 4 cores and at least 8Gb RAM. If you request a more powerful secondary VM, an added cost applies beyond the contract.
The deployment applies machine learning to production forecasting for shale assets. You can rank reservoir and completion parameters, correlate them with well productivity, and build predictive models. It also supports drilling and completion optimization, future production profiles, and estimates of reserves and recovery rates.
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