Abstract: Systems and methods are disclosed for generating a stress shadow effect as a function of position in a subsurface volume of interest. A computer-implemented method may obtain completion data in the subsurface volume of interest; generate relationships between the hydraulic fracturing stage data and the corresponding wellbore distances; and generate spatially discrete stress shadow effect data by spatially attributing the stress shadow effect slope coefficient to locations of the individual wells.

Abstract: Methods, systems, and non-transitory computer readable media for identifying type curve regions as a function of position in a region of interest are disclosed. Exemplary implementations may include: obtaining a spatial clustering model from the non-transitory storage medium; obtaining well data from the non-transitory storage medium; obtaining production parameter data from the non-transitory storage medium; and delineating each of the type curve regions in the region of interest by applying the spatial clustering model to the well data and the production parameter data.

Abstract: 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.

Abstract: Systems and methods are disclosed for estimating reservoir productivity values that maximize reservoir productivity of a refined well design corresponding to a reservoir productivity parameter. A computer-implemented method may use a computer system that includes non-transient electronic storage, a graphical user interface, and one or more physical computer processors. The computer-implemented method may include: obtaining multiple limited production parameter values, obtaining multiple refined well designs, obtaining a productivity algorithm that predicts a reservoir productivity based on a production parameter and a well design, and generating multiple refined reservoir productivity values as a function of position in the subsurface volume of interest by applying the multiple refined well designs and the multiple limited production parameter values to the productivity algorithm.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods are disclosed for estimating reservoir productivity values that maximize reservoir productivity of a refined well design corresponding to a reservoir productivity parameter. A computer-implemented method may use a computer system that includes non-transient electronic storage, a graphical user interface, and one or more physical computer processors. The computer-implemented method may include: obtaining multiple limited production parameter values, obtaining multiple refined well designs, obtaining a productivity algorithm that predicts a reservoir productivity based on a production parameter and a well design, and generating multiple refined reservoir productivity values as a function of position in the subsurface volume of interest by applying the multiple refined well designs and the multiple limited production parameter values to the productivity algorithm.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.