Abstract:
Methods and systems are provided that use resistivity log data to estimate water saturation of formation rock and/or other useful formation parameters (such as CEC) in a manner that accounts for one or more electrically conductive mineral components contained in the formation rock.
Abstract:
Methods and systems are provided for characterizing a subterranean formation that involve the generation of a 3D geological model of the formation. The 3D geological model can be used in conjunction with a fluid-flow simulator to generate a first 3D resistivity distribution. A second 3D resistivity distribution can be generated based on electromagnetic survey data of the formation. The 3D geological model can be updated based on differences between the first and second 3D resistivity distributions. The simulation and subsequent update to the 3D geological model can be repeated until differences between the first and second 3D resistivity distributions satisfy a stopping criterion. Data characterizing properties of the formation can be extracted from the resulting 3D geological model. The operations can be performed in conjunction with time-lapsed EM measurements before and after subjecting the formation to a production process and the extracted data can be analyzed to identify variations (such as fractures) in the formation that result from the production process.
Abstract:
A method and apparatus for measuring interfacial or surface tension of a first fluid dispersed in a second fluid, the method involving providing at least one substantially spherical droplet or bubble of the first fluid in a flowing stream of the second fluid in a flow channel, followed by passing the flowing stream comprising the droplet or bubble through a constriction in the flow channel, the constriction being sufficiently constricting so as to cause the droplet or bubble to deform away from its substantially spherical shape and measuring and comparing a physical property of the flowing stream both before and after the constriction, wherein the physical property changes as a result of the deformation of the droplet or bubble, and thereby inferring the interfacial or surface tension from the measured physical property.
Abstract:
Methods may include measuring an interfacial tension (IFT) for a dead oil sample prepared from a fluid within an interval of a formation; calculating a gas:oil ratio for the fluid within the interval of a formation at a specified temperature and pressure; calculating a live oil density for the fluid within the interval of a formation for the specified temperature and pressure; and converting the IFT for the dead oil sample to a corrected IFT measurement for a live oil within the interval of the formation from the calculated gas:oil ratio and the calculated density. Methods may also include constructing a depletion path for the dead oil sample from one or more isobars and one or more isotherms; and converting the IFT for the dead oil sample to a corrected IFT measurement from the calculated gas:oil ratio and the calculated live oil density for a live oil.
Abstract:
A tool having a pump-out unit, pumping unit, and NMR unit is disposed in a wellbore. On a pump-up cycle, after removing borehole fluids, a fluid is injected into a region of investigation. NMR measurements are made while fluid migrates into the region of investigation. On a production cycle, pressure is removed, allowing fluid to exit the formation while NMR measurements are made. A rate of fluid production is estimated using the time-dependent NMR measurements. Alternatively, the mass of a sample is measured. Fluid is injected into the sample and the mass of the injected sample is measured. Pressure is removed and the mass of the injected sample as the fluid migrates out of the sample is measured. The change in mass of the injected sample as the fluid migrates out of the sample is determined and a rate of fluid production is estimated using the determined change in mass.
Abstract:
The present disclosure generally relates to systems and methods for determining clay content of porous media based on electromagnetic measurements and temperature gradient analysis. For example, in certain embodiments, a method includes sampling porous media of a reservoir formation; measuring a first resistivity value of the porous media at a first temperature; heating the porous media to a second temperature using a heating source; measuring a second resistivity value of the porous media at the second temperature; and determining whether the porous media contains clay based at least in part on the first and second resistivity values.
Abstract:
Processes for monitoring downhole corrosion and directing operational plans using same. In some embodiments, the process can include acquiring a plurality of corrosion factors for at least one well. The process can also include acquiring a plurality of corrosion loss logs for the at least one well. The plurality of corrosion factors and the plurality of corrosion loss logs can be provided to a repository. The repository can be provided to a machine learning model to generate a corrosion prediction. At least the plurality of corrosion factors, the plurality of corrosion loss logs, and the corrosion prediction can be combined into a user dashboard. The user dashboard can be used to determine an operational plan for the at least one well. The determined operational plan for the at least one well can be carried out.
Abstract:
Methods and systems are provided that use resistivity log data to estimate water saturation of formation rock and/or other useful formation parameters (such as CEC) in a manner that accounts for one or more electrically conductive mineral components contained in the formation rock.
Abstract:
A workflow is provided that extracts and isolates an oil/water interface of a formation fluid sample and employs a ToF-SIMS instrument to characterize properties of the oil-water interface of the formation fluid sample. Additionally or alternatively, the workflow can use a ToF-SIMS instrument to analyze a formation rock sample and characterize properties of the formation rock sample. The workflow can also involve combining the at least one property related to the oil-water interface of the formation fluid sample and the least one property related to the formation rock sample for output or display to a user.
Abstract:
Methods and systems are provided for predicting thermal properties of a subsurface rock formation. A training dataset is derived from petrophysical properties of a plurality of formation rock samples and thermal properties of the plurality of formation rock samples. The training dataset is used to train a machine learning model that predicts label data representing the predefined set of thermal properties given input data representing the predefined set of petrophysical properties of an arbitrary formation rock sample. The machine learning model can be validated and deployed for use in predicting thermal properties of subsurface rock formations.