Abstract: A method for modelling saturation in a reservoir, comprising: obtaining capillary pressure data representing capillary pressure in the reservoir; obtaining permeability data representing permeability in the reservoir; determining a number of pore throats represented by the capillary pressure data; creating hyperbolic tangents based on the capillary pressure data equal in number to the number of pore throats; combining hyperbolic tangents to create a curve to fit the capillary pressure data and to define hyperbolic tangent parameters; combining at least one of the hyperbolic tangent parameters with the permeability data to define a saturation height function; modelling a saturation in the reservoir using the saturation height function; and displaying the saturation model based on the saturation height function.

Abstract: A system and method for correcting capillary pressure curves includes creating a capillary pressure curve using multiple linked hyperbolic tangents, determining a closure correction pressure cutoff of the capillary pressure curve, and correcting the capillary pressure curve. The correction may include normalizing the capillary pressure curve and extrapolating the capillary pressure curve.

Abstract: A method, apparatus, and program product for determining a formation pressure for a reservoir. Measurement data for a pretest of a formation of the reservoir is received. The measurement data is analyzed to determine a last-read event and a corresponding last-read pressure. Derivative data for flow regime identification is determined based at least in part on the measurement data. The derivative data is analyzed to determine a pressure derivative response, and a formation pressure is determined based at least in part on the last-read event, the last-read pressure, and the pressure derivative response.

Abstract: Systems, methods, and media for processing formation pressure test data are provided. The method includes determining using a processor, a plurality of regressions for measurements of the formation pressure test data, and determining that two or more of the plurality of regressions represent a fluid code. The method also includes combining the two or more of the plurality of regressions representing the fluid code to generate a first fluid-type regression, and combining two or more other ones of the plurality of regressions representing a second fluid code to generate a second fluid-type regression. The method further includes determining that the first fluid-type regression and the second fluid-type regression are in a first hydraulic zone, and calculating a location of a boundary between the first fluid-type regression and the second fluid-type regression by extrapolating the first and second fluid-type regressions to a point of intersection therebetween.

Abstract: A method can include receiving porosimetry data for a range of pressures that spans a transition zone defined at least in part by a high-pressure end of a first pressure zone and a low-pressure end of a second pressure zone; detecting at least one artifact in the transition zone; computing accuracy information for the high-pressure end of the first pressure zone and the low-pressure end of the second pressure zone; computing a pressure-volume adjustment based at least in part on the accuracy information; and outputting a pressure-volume relationship in the transition zone based at least in part on the pressure-volume adjustment.

Abstract: A system and method for correcting capillary pressure curves includes creating a capillary pressure curve using multiple linked hyperbolic tangents, determining a closure correction pressure cutoff of the capillary pressure curve, and correcting the capillary pressure curve. The correction may include normalizing the capillary pressure curve and extrapolating the capillary pressure curve.

Abstract: A method and system for modeling saturation in a reservoir that includes obtaining capillary pressure data representing capillary pressure in a reservoir, obtaining permeability data representing permeability in the reservoir, determining a number of pore throats represented by the capillary pressure data, creating a set of hyperbolic tangents equal in number to the number of pore throats, combining the set of hyperbolic tangents to create a curve to fit the capillary pressure data and to define a set of hyperbolic tangent parameters, combining at least one of the hyperbolic tangent parameters with the permeability data to define a saturation height function, modeling USER a saturation in the reservoir using the saturation height function, and displaying the saturation model based on the saturation height function.

Abstract: A method for modelling saturation in a reservoir, comprising: obtaining capillary pressure data representing capillary pressure in the reservoir; obtaining permeability data representing permeability in the reservoir; determining a number of pore throats represented by the capillary pressure data; creating hyperbolic tangents based on the capillary pressure data equal in number to the number of pore throats; combining hyperbolic tangents to create a curve to fit the capillary pressure data and to define hyperbolic tangent parameters; combining at least one of the hyperbolic tangent parameters with the permeability data to define a saturation height function; modelling a saturation in the reservoir using the saturation height function; and displaying the saturation model based on the saturation height function.

Abstract: A method, apparatus, and program product for determining a formation pressure for a reservoir. Measurement data for a pretest of a formation of the reservoir is received. The measurement data is analyzed to determine a last-read event and a corresponding last-read pressure. Derivative data for flow regime identification is determined based at least in part on the measurement data. The derivative data is analyzed to determine a pressure derivative response, and a formation pressure is determined based at least in part on the last-read event, the last-read pressure, and the pressure derivative response.

Abstract: A method can include receiving porosimetry data for a range of pressures that spans a transition zone defined at least in part by a high-pressure end of a first pressure zone and a low-pressure end of a second pressure zone; detecting at least one artifact in the transition zone; computing accuracy information for the highpressure end of a first pressure zone and the low-pressure end of a second pressure zone; computing a pressure-volume adjustment based at least in part on the accuracy information; and outputting a pressure-volume relationship in the transition zone based at least in part on the pressure-volume adjustment.

Abstract: Systems, methods, and media for processing formation pressure test data are provided. The method includes determining using a processor, a plurality of regressions for measurements of the formation pressure test data, and determining that two or more of the plurality of regressions represent a fluid code. The method also includes combining the two or more of the plurality of regressions representing the fluid code to generate a first fluid-type regression, and combining two or more other ones of the plurality of regressions representing a second fluid code to generate a second fluid-type regression. The method further includes determining that the first fluid-type regression and the second fluid-type regression are in a first hydraulic zone, and calculating a location of a boundary between the first fluid-type regression and the second fluid-type regression by extrapolating the first and second fluid-type regressions to a point of intersection therebetween.