Chevron U.s.a. Inc.

Gopro, Inc.

Michael J Richey

Shane James Prochnow

Yuanbo Lin

Matthew C Jones

Hannah G Luk

Exemplary implementations may: obtain subsurface data and well data of the subsurface volume of interest; obtain a parameter model; obtain a spatial correlation model; use the subsurface data and the well data to generate multiple production parameter maps; apply the parameter model to the multiple production parameter maps to generate production likelihood values; apply the spatial correlation model to the subsurface data and the well data to generate parameter continuity values; generate a representation of the likelihood of reservoir productivity as a function of position in the subsurface volume of interest; and display the representation.

Systems and methods for estimating a likelihood of reservoir productivity as a function of position in a subsurface volume of interest

Systems and methods for estimating reservoir productivity as a function of depth in a subsurface volume of interest are disclosed. Exemplary implementations may: obtain subsurface data and well data corresponding to a subsurface volume of interest; obtain a parameter model; use the subsurface data and the well data to generate multiple production parameter maps; apply the parameter model to the multiple production parameter maps to generate refined production parameter values; generate multiple refined production parameter graphs; display the multiple refined production parameter graphs; generate one or more user input options; receive the one or more user input options selected by a user to generate limited production parameter values; generate a representation of estimated reservoir productivity as a function of depth in the subsurface volume of interest using visual effects; and display the representation.

Systems and methods for estimating reservoir productivity as a function of depth in a subsurface volume of interest

Systems and methods for estimating reservoir productivity as a function of position in a subsurface volume of interest are disclosed. Exemplary implementations may: obtain subsurface data and well data corresponding to a subsurface volume of interest; obtain a parameter model; use the subsurface data and the well data to generate multiple production parameter maps; apply the parameter model to the multiple production parameter maps to generate refined production parameter values; generate multiple refined production parameter graphs; display the multiple refined production parameter graphs; generate one or more user input options; receive a defined well design and the one or more user input options selected by a user to generate limited production parameter values; generate a representation of estimated reservoir productivity as a function of position in the subsurface volume of interest using the defined well design and visual effects; and display the representation.

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Houston, TX, United States of America

Michael J Richey