Abstract: Prospect assessment and play chance mapping tools are provided. For assessing potential resources, example systems provide dynamically linked chance maps, transformed in real time from geological properties. Input geological maps or other data are dynamically linked to resulting chance maps, so that changes in the input maps automatically update the chance map in real time. Users can generate a custom risk matrix dynamically linking geological maps with chance maps via interface tools, dropping maps directly into the matrix. A transform may programmatically convert the geologic domain to the chance domain. The user can navigate input maps, select areas of interest, and drag-and-drop geologic properties into an uncertainty engine and distribution builder for uncertainty assessment based on geologic reality. A merge tool can programmatically unify multiple geological interpretations of a prospect. The merge tool outputs a single chance of success value for multiple geologic property values at each grid node.

Abstract: Prospect assessment and play chance mapping tools are provided. For assessing potential resources, example systems provide dynamically linked chance maps, transformed in real time from geological properties. Input geological maps or other data are dynamically linked to resulting chance maps, so that changes in the input maps automatically update the chance map in real time. Users can generate a custom risk matrix dynamically linking geological maps with chance maps via interface tools, dropping maps directly into the matrix. A transform may programmatically convert the geologic domain to the chance domain. The user can navigate input maps, select areas of interest, and drag-and-drop geologic properties into an uncertainty engine and distribution builder for uncertainty assessment based on geologic reality. A merge tool can programmatically unify multiple geological interpretations of a prospect. The merge tool outputs a single chance of success value for multiple geologic property values at each grid node.

Abstract: Prospect assessment and play chance mapping tools are provided. For assessing potential resources, example systems provide dynamically linked chance maps, transformed in real time from geological properties. Input geological maps or other data are dynamically linked to resulting chance maps, so that changes in the input maps automatically update the chance map in real time. Users can generate a custom risk matrix dynamically linking geological maps with chance maps via interface tools, dropping maps directly into the matrix. A transform may programmatically convert the geologic domain to the chance domain. The user can navigate input maps, select areas of interest, and drag-and-drop geologic properties into an uncertainty engine and distribution builder for uncertainty assessment based on geologic reality. A merge tool can programmatically unify multiple geological interpretations of a prospect. The merge tool outputs a single chance of success value for multiple geologic property values at each grid node.

Abstract: Prospect assessment and play chance mapping tools are provided. For assessing potential resources, example systems provide dynamically linked chance maps, transformed in real time from geological properties. Input geological maps or other data are dynamically linked to resulting chance maps, so that changes in the input maps automatically update the chance map in real time. Users can generate a custom risk matrix dynamically linking geological maps with chance maps via interface tools, dropping maps directly into the matrix. A transform may programmatically convert the geologic domain to the chance domain. The user can navigate input maps, select areas of interest, and drag-and-drop geologic properties into an uncertainty engine and distribution builder for uncertainty assessment based on geologic reality. A merge tool can programmatically unify multiple geological interpretations of a prospect. The merge tool outputs a single chance of success value for multiple geologic property values at each grid node.

Abstract: One or more computer-readable media including computer-executable instructions to instruct a computing system to access a template, instantiate the template for a realization of a data-driven application, perform an analysis defined by the template where the analysis relies on linking to at least some data relied on by the data-driven application and output information based at least in part on the analysis. Various other apparatuses, systems, methods, etc., are also disclosed.