BKO AI enhanced profits by predicting hydrocarbon content in unconventional reservoirs for an E&P company.
An oil & gas exploration and production (E&P) company, wanted to maximize profit from investments in unconventional onshore basins.
They were primarily concerned with optimal utilization of unconventional reservoirs, those where the oil & gas is tightly bound to the rock fabric through strong capillary forces.
We developed and deployed a machine learning model that predicts the extractable hydrocarbon content at a reservoir. The model relied on subsurface, engineering, and well performance data.
This enabled the client to reliably iterate over well economics and optimize well completions, therefore improving development and aiding commercial valuation.