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

A computer-implemented method of estimating a likelihood of reservoir productivity as a function of position in a subsurface volume of interest, comprising:

• obtaining, from the non-transient electronic storage, subsurface data and well data of the subsurface volume of interest, wherein the subsurface data and the well data include production parameter values for multiple production parameters as a function of position in the subsurface volume of interest, thereby characterizing subsurface production features that affect the reservoir productivity;
• obtaining, from the non-transient electronic storage, a parameter model, the parameter model having been conditioned by training an initial parameter model using training data, wherein the training data includes (i) the well data of one or more wells in the subsurface volume of interest, and (ii) the production parameter values for corresponding multiple production parameters affecting productivity of the one or more wells as a function of position in the subsurface volume of interest;
• obtaining, from the non-transient electronic storage, a spatial correlation model;
• using, with the one or more physical computer processors, the subsurface data and the well data to generate multiple production parameter maps, wherein a given production parameter map represents the production parameter values for the given production parameter as a function of time and position in the subsurface volume of interest;
• applying, with the one or more physical computer processors, the parameter model to the multiple production parameter maps to generate production likelihood values specifying likelihoods of reservoir productivity as a function of position in the subsurface volume of interest;
• generating, with the one or more physical computer processors, a first representation of the likelihood of reservoir productivity as a function of position in the subsurface volume of interest using visual effects to depict at least a portion of the production likelihood values as a function of position in the subsurface volume of interest;
• and
• displaying, via the graphical user interface, the first representation.

A system for estimating a likelihood of reservoir productivity as a function of position in a subsurface volume of interest, the system comprising:

• non-transient electronic storage;
• a graphical user interface;
• and
• one or more hardware processors configured by machine-readable instructions to:
• obtain, from the non-transient electronic storage, subsurface data and well data of the subsurface volume of interest, wherein the subsurface data and the well data include production parameter values for multiple production parameters as a function of position in the subsurface volume of interest, thereby characterizing subsurface production features that affect the reservoir productivity;
• obtain, from the non-transient electronic storage, a parameter model, the parameter model having been conditioned by training an initial parameter model using training data, wherein the training data includes (i) the well data of one or more wells in the subsurface volume of interest, and (ii) the production parameter values for corresponding multiple production parameters affecting productivity of the one or more wells as a function of position in the subsurface volume of interest;
• obtain, from the non-transient electronic storage, a spatial correlation model;
• use, with the one or more physical computer processors, the subsurface data and the well data to generate multiple production parameter maps, wherein a given production parameter map represents the production parameter values for the given production parameter as a function of time and position in the subsurface volume of interest;
• apply, with the one or more physical computer processors, the parameter model to the multiple production parameter maps to generate production likelihood values specifying likelihoods of reservoir productivity as a function of position in the subsurface volume of interest;
• apply, with the one or more physical computer processors, the spatial correlation model to the subsurface data and the well data to generate parameter continuity values specifying changes in the production parameters and reservoir productivity as a function of position in the subsurface volume of interest;
• generate, with the one or more physical computer processors, a representation of the likelihood of reservoir productivity as a function of position in the subsurface volume of interest using visual effects to depict at least a portion of the production likelihood values and the parameter continuity values as a function of position in the subsurface volume of interest;
• and
• display, via the graphical user interface, the representation.