INDUSTRIAS

O&G

Mature Hydrocarbon Fields Recommendation Engines Increase of Productivity

Most of the giants/shallows hydrocarbons fields have already been discovered; exploitation activities on deep and ultra-deep horizons are very costly. Millions of barrels remain trapped on the subsurface waiting for technologies that identify and recover those resources. Can methods/techniques of Market Basket Analysis, Graph Theory, Link Analysis and Recommendation Engines help to address this challenge? Yes, certainly they can!

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Geostatistical Reservoir Modeling: Key Statistical Summaries Model Extra-Calibration

Shifting gears away from Market Basket Analysis and Recommendation Engines, let’s talk a little about Reservoir Geostatistical Modeling. It is well known the key role of the Geostatistical Modeling in the general framework of Static and Dynamic Reservoir Characterization. It is also well known that the construction of the Geostatistical Model is a comprehensive task. It requires integration of multiples complex datasets, time-consuming data preparation, feature engineering, etc.

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