SOURCE DETERMINATION OF PRODUCED WATER FROM OILFIELDS WITH ARTIFICIAL INTELLIGENCE TECHNIQUES

A method involving collecting a first geochemical data set for a first plurality of produced water samples; collecting a second plurality of produced water samples; performing geochemical analyses on the second plurality of produced water samples to form a second geochemical data set; and combining...

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Bibliographische Detailangaben
Hauptverfasser: Al Ibrahim, Mustafa Ali H, Tirikov, Egor, Birkle, Peter, Ismailova, Leyla, Saif, Maram
Format: Patent
Sprache:eng
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Beschreibung
Zusammenfassung:A method involving collecting a first geochemical data set for a first plurality of produced water samples; collecting a second plurality of produced water samples; performing geochemical analyses on the second plurality of produced water samples to form a second geochemical data set; and combining the first and second geochemical data sets into a database. The method further includes determining, by a subject matter expert, a water type for each produced water sample in the database and training a machine-learned model with the database to predict the water type of a produced water sample given its geochemical data. The method further includes collecting a third plurality of produced water samples, performing geochemical analysis on the third plurality of produced water samples, and determining, with the trained machine-learned model, the water type for each produced water sample in the third plurality of produced water samples using the third geochemical data set.