Machine learning-based analysis of seismic attributes

TT202600038BActive Publication Date: 2026-10-14BP CORP NORTH AMERICA INC
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Patent Information

Application Number
TT202100022
Authority / Receiving Office
TT · TT
Patent Type
Patents
Current Assignee / Owner
Filing Date
2019-09-12
Publication Date
2026-10-14
Patent Text Reader

Abstract

Systems and methods are disclosed that include generating reservoir property profiles corresponding to reservoir properties for pseudo wells based on reservoir data, generating seismic attributes for the pseudo wells, and training a machine learning model by comparing the reservoir property profiles against the seismic attributes. In this manner, the machine learning model may be used to predict reservoir properties for use with seismic exploration above a region of a subsurface that contains structural or stratigraphic features conducive to a presence, migration, or accumulation of hydrocarbons.
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