G01V1/52

Leak induced guided wave amplitude log for downhole leakage localization

A method for identifying a leak for dynamic logging may comprise estimating a Stoneley wave slowness, separating a Stoneley wave into an up-going Stoneley wave and a down-going Stoneley wave, estimating an amplitude of the up-going Stoneley wave and the down-going Stoneley wave, identifying a difference between the amplitude of the up-going Stoneley wave and the down-going Stoneley wave, forming an amplitude summation curve or an amplitude difference curve, and identifying a location of the leak.

Leak induced guided wave amplitude log for downhole leakage localization

A method for identifying a leak for dynamic logging may comprise estimating a Stoneley wave slowness, separating a Stoneley wave into an up-going Stoneley wave and a down-going Stoneley wave, estimating an amplitude of the up-going Stoneley wave and the down-going Stoneley wave, identifying a difference between the amplitude of the up-going Stoneley wave and the down-going Stoneley wave, forming an amplitude summation curve or an amplitude difference curve, and identifying a location of the leak.

WIRELESS INTEGRATED DATA RECORDER
20230020763 · 2023-01-19 ·

An integrated data recorder may be positioned within a slot in a tool. The integrated data recorder includes a sensor package that includes one or more drilling dynamics sensors, a processor in data communication with the one or more drilling dynamics sensors, a memory module in data communication with the one or more drilling dynamics sensors, a wireless communications module in data communication with the processor, and an electrical energy source in electrical communication with the memory module, the one or more drilling dynamics sensors, and the processor.

WIRELESS INTEGRATED DATA RECORDER
20230020763 · 2023-01-19 ·

An integrated data recorder may be positioned within a slot in a tool. The integrated data recorder includes a sensor package that includes one or more drilling dynamics sensors, a processor in data communication with the one or more drilling dynamics sensors, a memory module in data communication with the one or more drilling dynamics sensors, a wireless communications module in data communication with the processor, and an electrical energy source in electrical communication with the memory module, the one or more drilling dynamics sensors, and the processor.

System and method for application of elastic property constraints to petro-elastic subsurface reservoir modeling

An information processing system having a processor and a memory device coupled to the processor, wherein the memory device includes a set of instruction that, when executed by the processor, cause the processor to receive a multi-dimensional grid of acoustic or elastic impedances determined from seismic survey data associated with a subterranean formation, receive elastic property data that describes elastic property characteristics used to sort pseudo-components, and wherein the respective pseudo-components are formed of a combination of two or more lithologies. The instructions, when executed by the processor, further cause the processor to define select design variables using the impedance arrays, perform optimization operations for optimizing select design variables by applying the elastic property data as a part of a constitutive relation, and output a distribution of the pseudo-components to characterize volumetric concentrations of spatially grouped lithologies in a control volume of the subterranean formation.

System and method for application of elastic property constraints to petro-elastic subsurface reservoir modeling

An information processing system having a processor and a memory device coupled to the processor, wherein the memory device includes a set of instruction that, when executed by the processor, cause the processor to receive a multi-dimensional grid of acoustic or elastic impedances determined from seismic survey data associated with a subterranean formation, receive elastic property data that describes elastic property characteristics used to sort pseudo-components, and wherein the respective pseudo-components are formed of a combination of two or more lithologies. The instructions, when executed by the processor, further cause the processor to define select design variables using the impedance arrays, perform optimization operations for optimizing select design variables by applying the elastic property data as a part of a constitutive relation, and output a distribution of the pseudo-components to characterize volumetric concentrations of spatially grouped lithologies in a control volume of the subterranean formation.

Monitoring wellbore scale and corrosion

Some methods of scale and corrosion monitoring of a well include receiving information from a plurality of transducers disposed in a ring on a circumference of a tubing of the well, the received information including frequency domain information representing a first longitudinal ultrasonic wave and a first torsional ultrasonic wave to arrive at the plurality of transducers; determining arrival times for the first longitudinal ultrasonic wave and the first torsional ultrasonic wave to arrive at the plurality of transducers based on the received information; comparing the determined arrival times with a range of predetermined arrival times from a model that accounts for wave refraction using a ray tracing scheme to determine a wall thickness of the tubing, a scale thickness of scale within the tubing, and a scale shear wave velocity of the scale; and identifying a material of the scale based on the determined scale shear wave velocity.

Through-tubing, cased-hole sealed material evaluation using acoustic measurements

A method for evaluating a sealing material positioned between a casing of a wellbore and a subsurface formation in which the wellbore is formed includes emitting an acoustic waveform outward from a position within the casing and detecting a return waveform that is generated in response to the acoustic waveform interacting with a region of interest that includes at least a portion of the sealing material. The method includes determining a first time window of the return waveform associated with the region of interest and trimming the return waveform based on the first time window. The method further includes determining a first spectral power density for the first time window of the trimmed return waveform and determining a composition ratio for the region of interest based on the first spectral power density.

APPARATUS AND METHOD FOR INSTALLING SENSOR DEVICE TO ACHIEVE A KNOWN MAGNETIC ORIENTATION

In one embodiment, an apparatus for installing a sensor device to achieve a known magnetic orientation includes a distal tilt sensor configured to be attached to the sensor device to be installed into a borehole; an installation tool configured to be detachably connected to the sensor device at or near a distal end of the installation tool to install the sensor device into the borehole; and an orientation sensor configured to be attached to the installation tool at a location proximal of the distal end of the installation tool toward a proximal end of the installation tool, the orientation sensor including a compass and a proximal tilt sensor.

APPARATUS AND METHOD FOR INSTALLING SENSOR DEVICE TO ACHIEVE A KNOWN MAGNETIC ORIENTATION

In one embodiment, an apparatus for installing a sensor device to achieve a known magnetic orientation includes a distal tilt sensor configured to be attached to the sensor device to be installed into a borehole; an installation tool configured to be detachably connected to the sensor device at or near a distal end of the installation tool to install the sensor device into the borehole; and an orientation sensor configured to be attached to the installation tool at a location proximal of the distal end of the installation tool toward a proximal end of the installation tool, the orientation sensor including a compass and a proximal tilt sensor.