Abstract: One embodiment of generating a pore pressure prediction through integration of seismic data and basin modeling includes crossplotting seismically derived velocities and effective stress at spatial coordinates; defining seismic transform functions and an uncertainty range from the crossplotting; transforming the seismically derived velocities into calculated effective stress using selected seismic transform functions and calculating pore pressure using an equation transforming the calculated effective stress into calculated pore pressure; identifying a subset of the selected seismic transform functions, where the subset is identified in response to the calculated pore pressure being adequate based on a comparison; using an inverse of the subset to convert the effective stress from the basin model into basin model derived velocities; building a hybrid velocity model by selecting velocities from the basin model derived velocities or from the seismically derived velocities in each region; and generating a digital

Abstract: One embodiment of generating a pore pressure prediction through integration of seismic data and basin modeling includes crossplotting seismically derived velocities and effective stress at spatial coordinates; defining seismic transform functions and an uncertainty range from the crossplotting; transforming the seismically derived velocities into calculated effective stress using selected seismic transform functions and calculating pore pressure using an equation transforming the calculated effective stress into calculated pore pressure; identifying a subset of the selected seismic transform functions, where the subset is identified in response to the calculated pore pressure being adequate based on a comparison; using an inverse of the subset to convert the effective stress from the basin model into basin model derived velocities; building a hybrid velocity model by selecting velocities from the basin model derived velocities or from the seismically derived velocities in each region; and generating a digital

Abstract: Methods and systems for historical, geological modeling for producing an estimated distribution of hydrocarbons trapped in subsurface clathrates are disclosed. One method includes instantiating a basin model of a geological area of interest, and, for each of a plurality of predetermined geological times up to a geologic present day: determining one or more changes to the basin model, calculating, at each of a plurality of locations within the basin model, a temperature and a pressure, determining an existence and a location of a clathrate stability zone based on the calculated temperatures and pressures, and estimating one or more clathrate concentrations and hydrocarbon volumes in the clathrate stability zone.

Abstract: A method of developing a velocity model for processing a seismic dataset is implemented at a computer system having a processor and memory. The method includes: deriving a first velocity model from the seismic dataset; building a basin model based on the first velocity model and interpretation of the seismic dataset; validating the basin model using calibration data; deriving a second velocity model from the validated basin model; and updating the first velocity model based, at least in part, on the second velocity model.

Abstract: Methods and systems for historical, geological modeling for producing an estimated distribution of hydrocarbons trapped in subsurface clathrates are disclosed. One method includes instantiating a basin model of a geological area of interest, and, for each of a plurality of predetermined geological times up to a geologic present day: determining one or more changes to the basin model, calculating, at each of a plurality of locations within the basin model, a temperature and a pressure, determining an existence and a location of a clathrate stability zone based on the calculated temperatures and pressures, and estimating one or more clathrate concentrations and hydrocarbon volumes in the clathrate stability zone.

Abstract: A method of developing a velocity model for processing a seismic dataset is implemented at a computer system having a processor and memory. The method includes: deriving a first velocity model from the seismic dataset; building a basin model based on the first velocity model and interpretation of the seismic dataset; validating the basin model using calibration data; deriving a second velocity model from the validated basin model; and updating the first velocity model based, at least in part, on the second velocity model.

Abstract: A system for and method of integrated reservoir and seal prediction is useful for evaluation of effective mean stresses affecting geologic systems through their history, and subsequently to predict reservoir and seal quality, flow and seal properties and other behaviors. Porosity and permeability as well as seal properties are modeled based on the effective mean stress. Integrated earth models are built using seismic interpretations, wells and other available data. Geo-mechanical earth models are built and stresses are computed. Basin models are built using inputs from seismic interpretation tools, wells, geochemistry, and earth and mechanical earth models. Reservoir quality and seal quality prediction is performed and the building earth models, computing stresses, building basin models and quality prediction are iterated to converge to a solution that honors well, seismic, core, geochemical and any other available calibration data.