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SafeRock uses predictive analytics and machine learning algorithms to forecast well-level oil and gas production for public and private E&P operators. These can be used to estimate new well EUR, and forecast production hits and misses for public E&P operators.
For oil and gas we have individually modeled over 20,000 wells in Eagle Ford and Permian. For each well, we have decline curves, production profiles, and EUR. We can also dynamically generate a representative type curve for any collection of wells.
For brands and retail, we also use predictive algorithms to accurately forecast total season sales in advance of the season.
For investors, our system detects production anomalies, generates dynamic type curves, and identifies bad wells. They can investigate production problems and be ready to question management on their earnings calls. They can use this deep well-by-well understanding to improve investment decisions.
E&P management can identify the greatest growth opportunities and do a better job of budgeting resources where they are needed.
In the Oil and Gas sector our system:
- Calculates EUR for oil and gas wells
- Automatically spots anomalies, outliers, and re-completions
- Forecasts expected production for the next 1, 2, and 6 months
- Uses machine learning to calculate an optimal ARPS decline curve for each individual well
BRAND AND RETAIL
For Brands and Retail companies our system:
- Integrates marketing and merchandise planning with online traffic to reduces out-of-stock
- Accurately forecasts retail sales using predictive algorithms and machine learning
- Improves both marketing ROI and return on ad spend