Abstract: Examples of methods and systems are disclosed. The methods may include obtaining, by a geological modeling system, geological data and seismic data regarding a subsurface region of interest, generating a paleogeographic surface using the geological data and the seismic data, and selecting an adjustable geological attribute from the paleogeographic surface. The methods may also include generating, using a seismic interpretation system coupled to the geological modeling system, a surface of a seismic attribute using the seismic data, where the seismic attribute is related to the adjustable geological attribute.

Abstract: Systems and methods are disclosed. The method includes obtaining a seismic dataset for a subterranean region of interest and determining an inverted value of a stratum parameter by applying seismic inversion to the seismic dataset. The method further includes obtaining a well dataset within the subterranean region of interest and determining a standard deviation of the stratum parameter using the well dataset. The method still further includes iteratively or recursively defining a geological boundary condition for the subterranean region of interest, determining a stratigraphic model by applying forward stratigraphic modeling using the geological boundary condition, determining a measured value of the stratum parameter by applying a rock physics model to the stratigraphic model, and calculating the misfit value using the inverted value, the standard deviation, and the measured value until a misfit value is below a tolerance value. The stratigraphic model is then selected as a calibrated stratigraphic model.

Abstract: Methods and systems for identifying a multiple artifact are disclosed. The method includes obtaining a post-stacked seismic image of a subterranean region and identifying a horizon with the post-stacked seismic image. The method further includes determining a spectral section over the horizon by applying spectral decomposition to the post-stacked seismic image. The method still further includes detecting a frequency anomaly within the spectral section by comparing the spectral section to a reference spectral section and identifying the multiple artifact based on the frequency anomaly.

Abstract: Systems and methods are disclosed. The method includes obtaining a seismic dataset for a subterranean region of interest and determining an inverted value of a stratum parameter by applying seismic inversion to the seismic dataset. The method further includes obtaining a well dataset within the subterranean region of interest and determining a standard deviation of the stratum parameter using the well dataset. The method still further includes iteratively or recursively defining a geological boundary condition for the subterranean region of interest, determining a stratigraphic model by applying forward stratigraphic modeling using the geological boundary condition, determining a measured value of the stratum parameter by applying a rock physics model to the stratigraphic model, and calculating the misfit value using the inverted value, the standard deviation, and the measured value until a misfit value is below a tolerance value. The stratigraphic model is then selected as a calibrated stratigraphic model.

Abstract: A method, a system, and a non-transitory computer readable medium to calibrate a lithostatic stress map of a particular geological layer in a basin model are described. The lithostatic stress map is generated by simulating the basin model and calibrated based on available well data without re-simulating the basin model. In particular, the calibration is based on the mean lithostatic density, which is a constant value of density that yields a value of lithostatic stress equivalent to the lithostatic stress at the same depth produced by the existing column of rocks in the basin.

Abstract: Methods and systems for identifying a multiple artifact are disclosed. The method includes obtaining a post-stacked seismic image of a subterranean region and identifying a horizon with the post-stacked seismic image. The method further includes determining a spectral section over the horizon by applying spectral decomposition to the post-stacked seismic image. The method still further includes detecting a frequency anomaly within the spectral section by comparing the spectral section to a reference spectral section and identifying the multiple artifact based on the frequency anomaly.

Abstract: Methods and systems for quantifying an uncertainty in at least one porosity compaction model parameter are disclosed. The method includes obtaining a first sequence of depth-porosity duplets from a sedimentary layer and generating a plurality of alternate sequences of depth-porosity duplets based, at least in part, on resampling the first sequence. The method further includes estimating a plurality of values for the porosity compaction model parameter based on fitting a porosity compaction model to the first sequence and each alternate sequence. The method further includes quantifying the uncertainty in the porosity compaction model parameter based on determining the value of a parameter of probability density function fit to a histogram of the plurality of values for the porosity compaction model parameter.

Abstract: A method for estimating a thickness of a deep reservoir may include obtaining seismic data relating to the deep reservoir. The method may include performing spectral decomposition to obtain one or more frequency components from the seismic data. The method may include identifying a number of mono-frequency horizons corresponding to high frequencies in the seismic data, determining whether the deep reservoir is a thin reservoir based on the number of mono-frequency horizons, and estimating the thickness of the deep reservoir when the deep reservoir is determined to be the thin reservoir.

Abstract: A method, a system, and a non-transitory computer readable medium to calibrate a lithostatic stress map of a particular geological layer in a basin model are described. The lithostatic stress map is generated by simulating the basin model and calibrated based on available well data without re-simulating the basin model. In particular, the calibration is based on the mean lithostatic density, which is a constant value of density that yields a value of lithostatic stress equivalent to the lithostatic stress at the same depth produced by the existing column of rocks in the basin.

Abstract: System and methods for heating boreholes include laser generators to trigger a chemical reaction to break down heavy hydrocarbons in boreholes. The systems and methods use arrays of laser generators at the borehole surface or within the borehole to heat the heavy hydrocarbons. The systems and methods may include hydrocarbon sensors within the borehole to detect gas seepage resulting from heating of the heavy hydrocarbons.

Abstract: System and methods for heating boreholes include laser generators to trigger a chemical reaction to break down heavy hydrocarbons in boreholes. The systems and methods use arrays of laser generators or other heating sources at the borehole surface or within the borehole to heat the heavy hydrocarbons. The systems and methods may include hydrocarbon sensors within the borehole to detect gas seepage resulting from heating of the heavy hydrocarbons.

Abstract: System and methods for heating boreholes include laser generators to trigger a chemical reaction to break down heavy hydrocarbons in boreholes. The systems and methods use arrays of laser generators at the borehole surface or within the borehole to heat the heavy hydrocarbons. The systems and methods may include hydrocarbon sensors within the borehole to detect gas seepage resulting from heating of the heavy hydrocarbons.

Abstract: System and methods for heating boreholes include laser generators to trigger a chemical reaction to break down heavy hydrocarbons in boreholes. The systems and methods use arrays of laser generators or other heating sources at the borehole surface or within the borehole to heat the heavy hydrocarbons. The systems and methods may include hydrocarbon sensors within the borehole to detect gas seepage resulting from heating of the heavy hydrocarbons.