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About Welligence Energy Analytics

Welligence is an independent oil and gas analytics firm focused on the Latin America and US GOM upstream sector. Our application of machine learning to proprietary exploration and production data represents a paradigm shift within upstream analytics. For more information please reach out at info@welligence.com.

Welligence Energy Analytics


Welligence Energy Analytics Products (16)

Price $10,000 | 12 month subscription available.

GIS data for assets, blocks, facilities, pipelines, and wells in Mexico. Both GeoJSON and GeoPackage file formats are provided – industry standard file formats compatible with virtually all open source and commercial mapping software. Attribute data is also included as a stand-alone csv file. Data is updated monthly.


Price $25,000 | 12 month subscription available.

Asset-level monthly hydrocarbon production for every producing asset in Brazil (264), Mexico (231), Peru (23), and Colombia (140) from the start of production, forecasted out 30 years. 30 year forecasts are driven by a proprietary machine learning algorithm trained on well level production and geological data, and then aggregated to form asset level forecasts. Dataset updated monthly. For more information contact: info@welligence.com.


Price $25,000 | 12 month subscription available.

Type Curves (representative production profile for the "next well" in the asset) for each asset in Brazil (264 assets), Mexico (231 assets), Peru (23 assets), and Colombia (140 assets). The columns in the data are asset_name, month, oil_bbld, gas_mmcfd, and condensate_bbld. Type Curves are generated using a proprietary machine learning algorithm that takes into account analogue wells, geological characteristics, and the production profiles. Data updated monthly.


Price $10,000 | 12 month subscription available.

Type Curves (representative production profile for the "next well" in the asset) for each asset in Peru (23 assets). The columns in the data are `asset_name`, `month`, `oil_bbld`, `gas_mmcfd`, and `condensate_bbld`. So for example, a row with an asset of `Lot 192` and `month = 4` would correspond to the oil, gas, and condensate production of the next well drilled in `Lot 192` in its fourth month of production. Curves are updated monthly upon the release of new data.