Abstract: A method for identifying a resource in a field using historic well data including vertical well logs for the resource and historic horizontal well production data for the resource, the method including extracting a plurality of features from the vertical well logs, performing a spatial interpolation of the plurality of features extracted from the vertical well logs onto coordinates of the horizontal well production data to determine a plurality of interpolated features, and building a model predicting production of the resource in the field by regressing the horizontal well production data onto the interpolated features, wherein the model is displayed as a visualization of the resource production predicted in the field.

Abstract: A method for identifying a resource in a field using historic well data including vertical well logs for the resource and historic horizontal well production data for the resource, the method including extracting a plurality of features from the vertical well logs, performing a spatial interpolation of the plurality of features extracted from the vertical well logs onto coordinates of the horizontal well production data to determine a plurality of interpolated features, and building a model predicting production of the resource in the field by regressing the horizontal well production data onto the interpolated features, wherein the model is displayed as a visualization of the resource production predicted in the field.

Abstract: A method for identifying a resource in a field using historic well data including vertical well logs for the resource and historic horizontal well production data for the resource, the method including extracting a plurality of features from the vertical well logs, performing a spatial interpolation of the plurality of features extracted from the vertical well logs onto coordinates of the horizontal well production data to determine a plurality of interpolated features, and building a model predicting production of the resource in the field by regressing the horizontal well production data onto the interpolated features, wherein the model is displayed as a visualization of the resource production predicted in the field.

Abstract: A method for identifying a resource in a field using historic well data including vertical well logs for the resource and historic horizontal well production data for the resource, the method including extracting a plurality of features from the vertical well logs, performing a spatial interpolation of the plurality of features extracted from the vertical well logs onto coordinates of the horizontal well production data to determine a plurality of interpolated features, and building a model predicting production of the resource in the field by regressing the horizontal well production data onto the interpolated features, wherein the model is displayed as a visualization of the resource production predicted in the field.

Abstract: A population comparison system, method and a computer program product. A stored list of population members, e.g., hydrocarbon reservoirs, includes parameters for corresponding known characteristics and analogous members for each member. A new population member input receives new member descriptions including parameters for each respective new member. A parameter extraction system automatically extracts an estimated value for each missing key parameter, providing a supplemented description. An analogous member selector automatically selects a subset of listed population members as analogous members for each new population member responsive to the supplemented description. The analogous members serve as a basis for uncertainty characterization from the joint parameter distribution and univariate distributions for each parameter.

Abstract: A population comparison system, method and a computer program product therefor. A stored list of population members, e.g., hydrocarbon reservoirs, includes parameters for corresponding known characteristics and analogous members for each member. A new population member input receives new member descriptions including parameters for each respective new member. A parameter extraction system automatically extracts an estimated value for each missing key parameter, providing a supplemented description. An analogous member selector automatically selects a subset of listed population members as analogous members for each new population member responsive to the supplemented description.

Abstract: A population comparison system, method and a computer program product. A stored list of population members, e.g., hydrocarbon reservoirs, includes parameters for corresponding known characteristics and analogous members for each member. A new population member input receives new member descriptions including parameters for each respective new member. A parameter extraction system automatically extracts an estimated value for each missing key parameter, providing a supplemented description. An analogous member selector automatically selects a subset of listed population members as analogous members for each new population member responsive to the supplemented description. The analogous members serve as a basis for uncertainty characterization from the joint parameter distribution and univariate distributions for each parameter.

Abstract: A population comparison system, method and a computer program product therefor. A stored list of population members, e.g., hydrocarbon reservoirs, includes parameters for corresponding known characteristics and analogous members for each member. A new population member input receives new member descriptions including parameters for each respective new member. A parameter extraction system automatically extracts an estimated value for each missing key parameter, providing a supplemented description. An analogous member selector automatically selects a subset of listed population members as analogous members for each new population member responsive to the supplemented description.