Abstract: A method includes receiving first material property data for a first material in one or more second materials, detecting material sensor data from at least one sensor, and applying an inverse model and a forward model to the first material property data to provide, at least in part, synthetic sensor measurement data for the one or more second materials.

Abstract: A method includes receiving first material property data for a first material in one or more second materials, detecting material sensor data from at least one sensor, and applying an inverse model and a forward model to the first material property data to provide, at least in part, synthetic sensor measurement data for the one or more second materials.

Abstract: A method includes receiving fluid property data of a fluid and receiving material property data for materials in the fluid. The method includes detecting material sensor data from at least one sensor and applying an inverse model and a forward model to the fluid property data and the material property data to provide at least in part synthetic spectral channel data for the materials.

Abstract: Disclosed herein are examples embodiments of a progressive modeling scheme to enhance optical sensor transformation networks using both in-field sensor measurements and simulation data. In one aspect, a method includes receiving optical sensor measurements generated by one or more downhole optical sensors in a wellbore; determining synthetic data for fluid characterization using an adaptive model and the optical sensor measurements; and applying the synthetic data to determine one or more physical properties of a fluid in the wellbore for which the optical sensor measurements are received.

Abstract: A method includes receiving fluid property data of a fluid and receiving material property data for materials in the fluid. The method includes detecting material sensor data from at least one sensor and applying an inverse model and a forward model to the fluid property data and the material property data to provide at least in part synthetic spectral channel data for the materials.

Abstract: Mutual-complementary modeling and testing methods are disclosed that can enable validated mapping from external oil and gas information sources to existing fluid optical databases through the use of forward and inverse neural networks. The forward neural networks use fluid compositional inputs to produce fluid principal spectroscopy components (PSC). The inverse neural networks apply PSC inputs to estimate fluid compositional outputs. The fluid compositional data from external sources can be tested through forward models first. The produced PSC outputs are then entered as inputs to inverse models to generate fluid compositional data. The degree of matching between reconstructed fluid compositions and the original testing data suggests which part of the new data can be integrated directly into the existing database as validated mapping. The applications of using PSC inputs to reconstruct infrared spectra and estimate oil-based-mud (OBM) contamination with endmember spectral fingerprints are also included.

Abstract: Downhole core sampling apparatus including first and second sealing elements and at least one pump configured to pump wellbore fluid from the annular space defined by the sealing elements. The downhole core sampling apparatus is capable of obtaining formation fluid saturated core samples for laboratory testing and reservoir evaluation. Method and system for obtaining formation fluid saturated core samples from the sidewall of subterranean wellbores is provided.

Abstract: System and methods for customizing fracturing fluids downhole for real-time optimization of micro-fracturing operations are provided. Downhole operating conditions are monitored during a micro-fracturing operation along a portion of a wellbore within a subterranean formation, based on downhole measurements collected by sensors of a downhole formation tester. Injection parameters for a fracturing fluid to be injected from a bulk storage chamber of the downhole formation tester into the subterranean formation are determined based on the downhole operating conditions. Signals for customizing the fracturing fluid using one or more fluid additives stored within corresponding fluid storage chambers of the downhole formation tester are transmitted to a controller of the downhole formation tester, based on the injection parameters.

Abstract: Downhole core sampling apparatus including first and second sealing elements and at least one pump configured to pump wellbore fluid from the annular space defined by the sealing elements. The downhole core sampling apparatus is capable of obtaining formation fluid saturated core samples for laboratory testing and reservoir evaluation. Method and system for obtaining formation fluid saturated core samples from the sidewall of subterranean wellbores is provided.

Abstract: System and methods for customizing fracturing fluids downhole for real-time optimization of micro-fracturing operations are provided. Downhole operating conditions are monitored during a micro-fracturing operation along a portion of a wellbore within a subterranean formation, based on downhole measurements collected by sensors of a downhole formation tester. Injection parameters for a fracturing fluid to be injected from a bulk storage chamber of the downhole formation tester into the subterranean formation are determined based on the downhole operating conditions. Signals for customizing the fracturing fluid using one or more fluid additives stored within corresponding fluid storage chambers of the downhole formation tester are transmitted to a controller of the downhole formation tester, based on the injection parameters.

Abstract: Disclosed herein are examples embodiments of a progressive modeling scheme to enhance optical sensor transformation networks using both in-field sensor measurements and simulation data. In one aspect, a method includes receiving optical sensor measurements generated by one or more downhole optical sensors in a wellbore; determining synthetic data for fluid characterization using an adaptive model and the optical sensor measurements; and applying the synthetic data to determine one or more physical properties of a fluid in the wellbore for which the optical sensor measurements are received.

Abstract: Mutual-complementary modeling and testing methods are disclosed that can enable validated mapping from external oil and gas information sources to existing fluid optical databases through the use of forward and inverse neural networks. The forward neural networks use fluid compositional inputs to produce fluid principal spectroscopy components (PSC). The inverse neural networks apply PSC inputs to estimate fluid compositional outputs. The fluid compositional data from external sources can be tested through forward models first. The produced PSC outputs are then entered as inputs to inverse models to generate fluid compositional data. The degree of matching between reconstructed fluid compositions and the original testing data suggests which part of the new data can be integrated directly into the existing database as validated mapping. The applications of using PSC inputs to reconstruct infrared spectra and estimate oil-based-mud (OBM) contamination with endmember spectral fingerprints are also included.

Abstract: The disclosed embodiments include a core sampling system. The core sampling system includes a core barrel that in operation receives a core sample from a well. Additionally, the core sampling system includes an isolated pressure compensation system, and a selectively activated isolation mechanism coupled between the core barrel and the isolated pressure compensation system. Further, the core sampling system includes a controller that in operation deactivates the selectively activated isolation mechanism upon closing of the core barrel.

Abstract: Downhole core sampling apparatus including first and second sealing elements and at least one pump configured to pump wellbore fluid from the annular space defined by the sealing elements. The downhole core sampling apparatus is capable of obtaining formation fluid saturated core samples for laboratory testing and reservoir evaluation. Method and system for obtaining formation fluid saturated core samples from the sidewall of subterranean wellbores is provided.

Abstract: The disclosed embodiments include a core sampling system. The core sampling system includes a core barrel that in operation receives a core sample from a well. Additionally, the core sampling system includes an isolated pressure compensation system, and a selectively activated isolation mechanism coupled between the core barrel and the isolated pressure compensation system. Further, the core sampling system includes a controller that in operation deactivates the selectively activated isolation mechanism upon closing of the core barrel.

Abstract: Methods, systems, and apparatuses for downhole sampling are presented. The sampling system includes a control unit and a housing to engage a conduit. The housing at least partially encloses at least one formation sampler to collect a formation sample. The formation sampler is stored in a sampler carousel. A sampler propulsion system forces the formation sampler into the formation. The propulsion system is in communication with the control unit.

Abstract: A seal pad comprising a base plate and an expandable material engaged with the base plate. The expandable material comprises an outer surface where a portion of the outer surface is used to form a seal against a borehole wall. A portion of the outer surface of the expandable material is expanded during the sealing against the borehole wall. The seal pad also comprises a retainer for controlling the expansion of the expandable material. The retainer controls the expansion of the expandable material by engaging at least a portion of the outer surface of the expandable material. Thus when the seal is formed by expanding the expandable material, at least a portion of the expandable material is contained by the retainer.