Independent operators evaluate prospects using inherited knowledge, personal networks, and manual data pulls. The result is slow, inconsistent, and impossible to validate after the fact.
Select the basins you operate in. ProspectOS has already ingested every public well, permit, production record, and government lease across 9 major US and international basins. No data upload required.
The ML model clusters producing wells by formation and spatial proximity, detects coverage gaps, and generates ranked prospect polygons. Each prospect receives a P10/P50/P90 score range with full SHAP decomposition.
Four workspace configurations — Geoscientist, Land Professional, Management, and Investor — surface the metrics, tabs, and exports most relevant to your role. Every view is tuned to how you actually make decisions.
Set watch zones on areas of interest. As new permits are filed and wells are drilled, ProspectOS matches outcomes to predictions and updates your track record. The model improves with every drilling result.
Every score is benchmarked against historical outcomes. We publish our hit rates.
SHAP attribution on every score. Know exactly which features drive each prospect's ranking.
Built entirely on government regulatory data. No proprietary data dependencies or vendor lock-in.
Quantified operator reliability — no other tool offers this from public production data.
9 basins ingested. Basin-aware benchmarks ensure scores are comparable across plays.
Self-serve onboarding. First scored prospect in under 5 minutes. No implementation project.
On-chain prediction anchoring creates an immutable, timestamped audit trail of every score.
Ask any question about any location. The Exploration Advisor reasons across the full dataset.
XGBoost ensemble with 43 features, spatial block cross-validation, and quantile regression for P10/P50/P90 confidence intervals.
PostGIS-native feature extraction: analog well density, production quality within radius, formation-level benchmarks, and drilling recency signals.
SHapley Additive exPlanations provide per-prospect, per-feature attribution scores. Every deviation from baseline is accounted for.
Prospective validation framework matches timestamped predictions to real drilling outcomes. The model retrains on expanding ground truth.
Every well, permit, production record, and government lease in ProspectOS comes from state and federal regulatory agencies. No proprietary data dependencies, no vendor lock-in. Your analysis is reproducible and auditable.
No implementation project. No data upload. First scored prospect in under 5 minutes.
See how ProspectOS scores prospects in your basin. No implementation, no data upload, no commitment.
The upstream industry is experiencing a quiet revolution. Machine learning models trained on public well data can now score drilling prospects with measurable accuracy.
A framework for evaluating upstream opportunities using production analogs, geological attributes, operator track record, and spacing analysis.
How small operators can use publicly available data to evaluate opportunities across basins without Enverus-scale budgets.