Abstract: The present disclosure relates generally to methods, systems and computer program storage devices for generating a flooding forecast. In one specific example, the present disclosure relates generally to methods, systems and computer program storage devices for generating a flooding forecast for an urban environment. In another example, a fully conservative model may be utilized that allows employing an unstructured hybrid grid (1-dimesional/2-dimensional) to represent an urban area, where the 1-dimesional grid is a simplified representation of part of the domain.

Abstract: Assessing the impact of existing fractures and faults for reservoir management, in one aspect, may comprise employing a numerical mesh to generate a geomechanical model, the numerical mesh representing a geological reservoir and its surrounding regions, the numerical mesh comprising delimitation associated with regions and layering of geology without constraining the numerical mesh to explicitly represent a fault or fracture, initializing the geomechanical model to define initial stress-strain compatible with measured stress in well locations associated with the geological reservoir, generating a fluid-flow model employing the numerical mesh, solving for a coupled solution of the fluid-flow model and the geomechanical model, and employing the solved fluid-flow model and the geomechanical model to assess the impact.

Abstract: Coupling fluid-flow model and geomechanical model for integrated petroleum systems, in one aspect, may comprise analyzing historical data associated with a reservoir to determine one or more triggering events that trigger abrupt changes in the state of stress of the reservoir solid framework and in the pore pressure. One or more time steps are defined based on the determined triggering events. The fluid-flow model and the geomechanical model are coupled at the one or more defined time steps, e.g., one-way or two-way. Number of iterations may be calculated automatically for the two-way coupling to converge.

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 infrastructure sensitivity centric weather forecast system, method of forecasting weather and a computer program product therefor. A forecasting computer applies a grid to a forecast area, locates infrastructure, e.g. power grid infrastructure, in the area and determines weather effects on infrastructure in each grid cell. A targeted selection module iteratively identifies grid cells for refinement in response to the weather effects on cell infrastructure. In each iteration a refined grid is applied to each grid cell identified as containing infrastructure that may be sensitive, or vulnerable, to expected weather. The forecasting computer refines the area considered to focus on area infrastructure and sensitivities/vulnerabilities to expected weather.