Abstract: A method of fluid substitution, wherein an initial data set is provided, wherein a substituted data set is provided, wherein a rock physics model is provided, wherein the initial data set includes initial data of a geophysical parameter and initial fluid data, and wherein the substituted data set includes substituted fluid data. The method includes using the model and the initial data set to calculate first calculated data of the geophysical parameter, using the model and the substituted data set to calculate second calculated data of the geophysical parameter, calculating the difference between the first calculated data of the geophysical parameter and the second calculated data of the geophysical parameter, and applying the difference to the initial data of the geophysical parameter to produce substituted data of the geophysical parameter.

Abstract: A method of fluid substitution, wherein an initial data set is provided, wherein a substituted data set is provided, wherein a rock physics model is provided, wherein the initial data set includes initial data of a geophysical parameter and initial fluid data, and wherein the substituted data set includes substituted fluid data. The method includes using the model and the initial data set to calculate first calculated data of the geophysical parameter, using the model and the substituted data set to calculate second calculated data of the geophysical parameter, calculating the difference between the first calculated data of the geophysical parameter and the second calculated data of the geophysical parameter, and applying the difference to the initial data of the geophysical parameter to produce substituted data of the geophysical parameter.

Abstract: A method is disclosed for the estimation of subsurface temperature distributions from a 3-dimensional heat conductivity model for a geological formation. The method may be characterized by the following steps: (a) obtaining measured data corresponding to a geological subsurface formation of interest including seismic survey data, in-well temperature, seafloor or surface heat flux measurements and laboratory-based measurements of core porosity, (b) estimating a relationship between seismic velocity and heat conductivity, wherein seismic velocity is linearly dependent on porosity and heat conductivity is exponentially or linearly dependent on porosity, and (c) calibrating the model to the measured in-well data and laboratory-based measurements of core porosity.

Abstract: A method is disclosed for the estimation of subsurface temperature distributions from a 3-dimensional heat conductivity model for a geological formation. The method may be characterized by the following steps: (a) obtaining measured data corresponding to a geological subsurface formation of interest including seismic survey data, in-well temperature, seafloor or surface heat flux measurements and laboratory-based measurements of core porosity, (b) estimating a relationship between seismic velocity and heat conductivity, wherein seismic velocity is linearly dependent on porosity and heat conductivity is exponentially or linearly dependent on porosity, and (c) calibrating the model to the measured in-well data and laboratory-based measurements of core porosity.