DLE Companies
You’ve built the technology to extract lithium from oilfield brine. You have no map of where the best brine is.

MotherLode Reservoir is the per-well intelligence layer that tells you which ones are worth everything, at fidelity not previously possible, in hours instead of months.
How MotherLode Reservoir turns 3.7 million legacy wells into an intelligence layer for critical minerals.
Oil and gas operations across the twentieth century measured one thing: primary hydrocarbon production curves to non-economic. Lithium in produced water, helium in associated gas streams, rare earth elements in formation brine, residual recoverable hydrocarbons at modern prices, and geothermal potential at the borehole were not measured because they had no commercial value at the time. The United States is sitting on millions of legacy wells whose bycatch potential is unknown, and federal agencies are openly funding solutions to close that gap.
The platform combines AI-driven integration of state oil and gas commission records, EPA orphan-well inventories, USGS produced-water chemistry, era-specific completion analytics, and modern basin-level signatures to produce per-well bycatch predictions with confidence intervals, directly usable by program managers, operators, and engineering consulting firms.
Select any layer to learn more on the methodology page.
Candidate ranking criteria, viability drivers, development pathways, wellbore linking methodology, fluid analysis integration, and data source documentation — available in full.
Read the Methodology →Every operator who deploys MotherLode Reservoir on a well generates ground-truth data: confirmed brine assay results, observed helium recovery, residual hydrocarbon yields, encountered formation pressures, real-world economics. Verified field outcomes feed back into the model, tightening confidence intervals per bycatch category, refining era and basin-specific recovery functions, and improving cross-basin signature matching.
This is the data nobody else has. State oil and gas commissions hold the historical completions. USGS holds the contemporary water chemistry. Operators hold the ground-truth. MotherLode Reservoir is the first system to integrate all three with a feedback loop that compounds across deployments.
The platform extracts geological, geochemical, and completion-history signatures from historically productive lithium-brine, helium-rich, and high-residual basins. It then scans the broader oil and gas legacy landscape for wells that share those signatures but were never assayed for bycatch, never reported to federal inventories, or never analyzed against modern recovery economics.
The result is a new class of opportunity: high-potential wells that are absent from current bycatch databases, absent from state geological survey priority lists, and absent from every commercial energy intelligence product on the market. They exist in the data, just not in anyone’s index.
This capability is patent pending and is unique to MotherLode Reservoir.
You’ve built the technology to extract lithium from oilfield brine. You have no map of where the best brine is.
Legacy wells are pre-drilled geothermal assets at zero drilling capex. Nobody has scored them at per-well thermal fidelity.
Domestic helium and rare earth supply is a national security gap. The data to close it exists, scattered across 50 state databases.
You’re valuing distressed E&P portfolios on primary hydrocarbon reserves alone. Bycatch value is invisible in every model.
Eight intelligence layers, six buyer categories, a compounding data flywheel, and straight answers on how it works.
MotherLode Reservoir is in active discussion with federal data partners to become the unified national intelligence layer for legacy hydrocarbon assets, integrating state oil and gas commission records, USGS produced-water chemistry, EPA orphan-well inventories, and operator-contributed field outcomes into a single compounding system. The registry that doesn’t exist yet.
Patent filed. No competitor. A data flywheel that compounds with every deployment.