Abstract: A method can include receiving Stoneley wave data acquired by a sonic tool disposed in a borehole in a formation; performing an inversion using the Stoneley wave data to generate formation and borehole information; and identifying an interval along the borehole for performance of a downhole acquisition operation by a downhole tool using a machine learning model and the formation and borehole information as input to the machine learning model.

Abstract: A method can include receiving downhole formation testing time series data acquired at a location along a borehole in a subsurface region during a formation testing operation performed by a downhole tool; processing the downhole formation testing time series data using a machine learning model to generate smoothed time series data; resampling the smoothed time series data; generating fluid and formation characteristics with respect to time based on the smoothed time series data; and outputting the fluid and formation characteristics with respect to time.

Abstract: A method can include receiving petrophysics data acquired along a borehole in a subsurface region; generating test location recommendations along the borehole using the petrophysics data as input to a machine learning model; and outputting, based on the test location recommendations, selected locations for performing tests using a downhole tool disposed in the borehole

Abstract: A method can include receiving Stoneley wave data acquired by a sonic tool disposed in a borehole in a formation; performing an inversion using the Stoneley wave data to generate formation and borehole information; and identifying an interval along the borehole for performance of a downhole acquisition operation by a downhole tool using a machine learning model and the formation and borehole information as input to the machine learning model.

Abstract: Actual distributed temperature sensing (DTS) data and pressure data are received in response to a stimulation treatment applied to a hydrocarbon field. A pre-stimulation model is built that includes reservoir parameters, which generates simulated DTS and pressure data as a function of the reservoir parameters that include a permeability parameter and a skin parameter. In response to determining that a thermal match between the actual DTS and pressure data and the simulated DTS and pressure data is not obtained, the reservoir parameters are updated. In response to determining that the updated reservoir parameters do not match a performed pressure transient analysis (PTA), the reservoir parameters and the pre-stimulation model are updated, and the simulated DTS and pressure data are re-generated based on the updated pre-stimulation model.

Abstract: A method can include receiving formation parameter values associated with a bore of a formation via a pressure transient analysis of a test performed by tubing that is operatively coupled to a tool that includes at least one pressure sensor. The method can include receiving a pressure stabilization value for fluid flow at a location in the bore of the formation. And, the method can include, based at least in part on the formation parameter values and the pressure stabilization value, calculating a skin factor value for the location in the bore.

Abstract: Actual distributed temperature sensing (DTS) data and pressure data are received in response to a stimulation treatment applied to a hydrocarbon field. A pre-stimulation model is built that includes reservoir parameters, which generates simulated DTS and pressure data as a function of the reservoir parameters that include a permeability parameter and a skin parameter. In response to determining that a thermal match between the actual DTS and pressure data and the simulated DTS and pressure data is not obtained, the reservoir parameters are updated. In response to determining that the updated reservoir parameters do not match a performed pressure transient analysis (PTA), the reservoir parameters and the pre-stimulation model are updated, and the simulated DTS and pressure data are re-generated based on the updated pre-stimulation model.

Abstract: A method can include receiving formation parameter values associated with a bore of a formation; receiving a pressure stabilization value for fluid flow at a location in the bore of the formation; and, based at least in part on the formation parameter values and the pressure stabilization value, calculating a skin factor value for the location in the bore.

Abstract: Systems, methods, and transmitter assemblies for exploring geophysical formations at great depths. In order to explore the formation, transmitter assemblies with a size less than 500 nanometers are inserted into the formation. The transmitter assemblies propel through the formation, analyzing fluids and conditions as each moves through the formation. The transmitter assemblies can communicate with a machine on the surface via a series of receivers and transmitters located in the wellbore. The machine on the surface is able to combine and analyze the data from the nanorobots to create a three dimensional map of the formation. The map shows the locations of pathways through the formation, pockets of hydrocarbons within the formation, and the boundaries of the formation.

Abstract: Systems, methods, and transmitter assemblies for exploring geophysical formations at great depths. In order to explore the formation, transmitter assemblies with a size less than 500 nanometers are inserted into the formation. The transmitter assemblies include sensors and propel through the formation, analyzing fluids and conditions as each moves through the formation. The transmitter assemblies can communicate with a machine on the surface via a series of receivers and transmitters located in the wellbore. The machine on the surface is able to combine and analyze the data from the nanorobots to create a three dimensional map of the formation. The map shows the locations of pathways through the formation, pockets of hydrocarbons within the formation, and the boundaries of the formation.

Abstract: Systems, methods, and transmitter assemblies for exploring geophysical formations at great depths. In order to explore the formation, transmitter assemblies with a size less than 500 nanometers are inserted into the formation. The transmitter assemblies include power supplies or are charged at charging stations, allowing the transmitter assemblies to propel through the formation, analyzing fluids and conditions as each moves through the formation. The transmitter assemblies can communicate with a machine on the surface via a series of receivers and transmitters located in the wellbore. The machine on the surface is able to combine and analyze the data from the nanorobots to create a three dimensional map of the formation. The map shows the locations of pathways through the formation, pockets of hydrocarbons within the formation, and the boundaries of the formation.

Abstract: Systems and transmitter assemblies for exploring geophysical formations at great depths. In order to explore the formation, transmitter assemblies with a size less than 500 nanometers are inserted into the formation. The transmitter assemblies include propulsion devices to propel through the formation, analyzing fluids and conditions as each moves through the formation. The transmitter assemblies can communicate with a machine on the surface via a series of receivers and transmitters located in the wellbore. The machine on the surface is able to combine and analyze the data from the nanorobots to create a three dimensional map of the formation. The map shows the locations of pathways through the formation, pockets of hydrocarbons within the formation, and the boundaries of the formation.

Abstract: Systems, methods, and transmitter assemblies for exploring geophysical formations at great depths. In order to explore the formation, transmitter assemblies with a size less than 500 nanometers are inserted into the formation. The transmitter assemblies propel through the formation, analyzing fluids and conditions as each moves through the formation. The transmitter assemblies can communicate with a machine on the surface via a series of receivers and transmitters located in the wellbore. The machine on the surface is able to combine and analyze the data from the nanorobots to create a three dimensional map of the formation. The map shows the locations of pathways through the formation, pockets of hydrocarbons within the formation, and the boundaries of the formation.

Abstract: Systems and transmitter assemblies for exploring geophysical formations at great depths. In order to explore the formation, transmitter assemblies with a size less than 500 nanometers are inserted into the formation. The transmitter assemblies include propulsion devices to propel through the formation, analyzing fluids and conditions as each moves through the formation. The transmitter assemblies can communicate with a machine on the surface via a series of receivers and transmitters located in the wellbore. The machine on the surface is able to combine and analyze the data from the nanorobots to create a three dimensional map of the formation. The map shows the locations of pathways through the formation, pockets of hydrocarbons within the formation, and the boundaries of the formation.

Abstract: Systems, methods, and transmitter assemblies for exploring geophysical formations at great depths. In order to explore the formation, transmitter assemblies with a size less than 500 nanometers are inserted into the formation. The transmitter assemblies include sensors and propel through the formation, analyzing fluids and conditions as each moves through the formation. The transmitter assemblies can communicate with a machine on the surface via a series of receivers and transmitters located in the wellbore. The machine on the surface is able to combine and analyze the data from the nanorobots to create a three dimensional map of the formation. The map shows the locations of pathways through the formation, pockets of hydrocarbons within the formation, and the boundaries of the formation.

Abstract: Systems, methods, and transmitter assemblies for exploring geophysical formations at great depths. In order to explore the formation, transmitter assemblies with a size less than 500 nanometers are inserted into the formation. The transmitter assemblies include power supplies or are charged at charging stations, allowing the transmitter assemblies to propel through the formation, analyzing fluids and conditions as each moves through the formation. The transmitter assemblies can communicate with a machine on the surface via a series of receivers and transmitters located in the wellbore. The machine on the surface is able to combine and analyze the data from the nanorobots to create a three dimensional map of the formation. The map shows the locations of pathways through the formation, pockets of hydrocarbons within the formation, and the boundaries of the formation.

Abstract: An system and method for exploring geophysical formations at great depths below the surface of the earth. In order to explore the formation, nanorobots with a size less than 500 nanometers are inserted into the formation. The nanorobots propel through the formation, analyzing fluids and conditions as each moves through the formation. The nanorobots can communicate with a machine on the surface via a series of receivers and transmitters located in the wellbore. The machine on the surface is able to combine and analyze the data from the nanorobots to create a three dimensional map of the formation. The map shows the locations of pathways through the formation, pockets of hydrocarbons within the formation, and the boundaries of the formation.

Abstract: A continuous-time delta-sigma analog-to-digital converter (ADC) is disclosed. The ADC includes a loop filter, a loop quantizer, and a clock-jitter tolerant digital-to-analog converter (DAC). The clock-jitter tolerant DAC includes a dual switched-current (SI) DAC, a switched-capacitor (SC) DAC, an adder, and a switched-capacitor-resistor (SCR) injection circuit. The dual SI DAC provides two identical analog signals from the feedback digital signal of a loop quantizer within the ADC. The SC DAC provides an error-free reference signal from the feedback digital signal. The adder subtracts one of the two analog signals from the error-free reference signal to obtain an inverted jitter-induced error signal. The SCR injection circuit then injects the inverted jitter-induced error signal, delayed by one clock-cycle, in the form of a half-delay return-to-zero exponentially decaying waveform into the loop filter.

Abstract: A continuous-time delta-sigma analog-to-digital converter (ADC) is disclosed. The ADC includes a loop filter, a loop quantizer, and a clock-jitter tolerant digital-to-analog converter (DAC). The clock-jitter tolerant DAC includes a dual switched-current (SI) DAC, a switched-capacitor (SC) DAC, an adder, and a switched-capacitor-resistor (SCR) injection circuit. The dual SI DAC provides two identical analog signals from the feedback digital signal of a loop quantizer within the ADC. The SC DAC provides an error-free reference signal from the feedback digital signal. The adder subtracts one of the two analog signals from the error-free reference signal to obtain an inverted jitter-induced error signal. The SCR injection circuit then injects the inverted jitter-induced error signal, delayed by one clock-cycle, in the form of a half-delay return-to-zero exponentially decaying waveform into the loop filter.

Abstract: Systems, program product, and methods for providing real-time reservoir management of one or more reservoirs across one or more fields are provided. A system can include multiple monitoring wells and at least one injection well in communication with a central facility including a reservoir management computer or server positioned to provide real-time reservoir management of the one or more reservoirs. The computer can include, stored in memory, reservoir management program code, which when executed, can cause the computer to perform the operations of calibrating an injection well model for each of one or more injection wells positioned in a reservoir responsive to real-time injection rate and wellhead pressure data associated therewith, calculating static reservoir pressure for each of the injection wells responsive to the respective calibrated injection well model and responsive to respective surface injection rate and wellhead pressure data, and generating real-time automated isobaric pressure maps.