Aqua Rare Metals (ARM) has completed a new critical raw materials (CRM) anomaly mapping study that identifies several promising reservoir clusters within mature European oil and gas basins. The results strengthen the case for produced water as a viable and scalable source of lithium and other CRMs.
From data to insight
The anomaly map is based on an integrated analysis of existing produced-water chemistry, subsurface data, and reservoir characteristics. By consolidating historical datasets with ARM’s geochemical screening workflows, the study highlights areas where CRM concentrations and water volumes align to support further evaluation.
Rather than focusing on individual fields in isolation, the mapping identifies clusters of reservoirs with shared geological and geochemical characteristics—improving scalability and development potential.
What the anomaly map shows
The analysis reveals zones with elevated potential for CRMs such as:
- Lithium
- Boron
- Strontium
- Bromine
These anomalies are associated with specific formation types, depth intervals, and brine chemistries that are well suited for selective extraction technologies.
Supporting a stepwise development strategy
The anomaly map serves as a decision-support tool within ARM’s low-risk, stepwise development model. It enables efficient prioritization by:
- Focusing sampling programs on the most prospective areas
- Reducing early-stage technical uncertainty
- Supporting technology screening and pilot planning
- Improving early economic assessments
By narrowing the funnel early, ARM ensures that resources are directed toward the most promising opportunities.
Leveraging mature infrastructure
Many of the identified reservoir clusters are located in regions with long production histories and well-established infrastructure. This allows CRM evaluation and potential recovery to be integrated into existing operations, minimizing environmental impact and capital requirements.
The approach aligns with circular resource principles by turning an operational by-product into a strategic asset.
Next steps
The identified clusters will be advanced into targeted sampling and laboratory analysis programs. Results will be used to refine the anomaly model, support pilot selection, and engage with operators and partners.
As demand for critical raw materials continues to grow, ARM’s anomaly mapping demonstrates how subsurface data and geochemistry can reveal new value in mature energy systems.