E21B49/02

Device and System for Use in Monitoring Coring Operations
20170306713 · 2017-10-26 ·

A system for monitoring coring operations has a sensor 80 for detecting one or more drilling parameters relating to a down-the-hole coring operation. An indicative signal from the sensor is communicated to a signal transmitter (30) for transmitting the indicative signal to the surface. The signal transmitter is located in or adjacent the coring assembly. The signal transmitter can be a mud pulser (30) housed above a core barrel (14). Communication of the indicative signal to the signal transmitter can be wireless, hard wired or conducted through the material of an outer barrel (12) of a drilling assembly. The core barrel can include a core limit recognition/detection device (34). An adapter/sub (90) incorporates a check valve (92) to relieve excess fluid pressure if there is sufficient hydraulic lock immediately above a core sample within the core barrel as the core sample enters the core barrel.

GAUGE CUTTER AND SAMPLER APPARATUS
20230175335 · 2023-06-08 ·

An apparatus includes a first body, a second body, a shear pin, and a divider. The first body includes a coupling. The second body includes a cutter blade. The shear pin is configured to hold the position of the second body relative to the first body in an open position. The coupling is configured to couple the first body to the second body in a closed position. In the open position, the apparatus defines first and second flow paths for fluids and solids to pass through the apparatus. The first flow path is defined through the first body and through an inner bore of the divider. The second flow path is defined through the first body and through an annulus surrounding the divider. In the closed position, the second flow path is closed, such that solids remain in the annulus surrounding the divider.

Stimulated rock volume analysis

A data acquisition program, which includes core, image log, microseismic, DAS, DTS, and pressure data, is described. This program can be used in conjunction with a variety of techniques to accurately monitor and conduct well stimulation.

Stimulated rock volume analysis

A data acquisition program, which includes core, image log, microseismic, DAS, DTS, and pressure data, is described. This program can be used in conjunction with a variety of techniques to accurately monitor and conduct well stimulation.

SELF PROPELLING SUBTERRANEAN VEHICLE
20170292329 · 2017-10-12 · ·

A self propelling vehicle capable of propagating through a solid medium, comprising two or more rotors, arranged in tandem, and means for rotating the rotors, each rotor being formed as a hollow rotational body with an external helicoidal flighting, configured to engage surrounding solid medium, wherein the flightings of any pair of adjacent rotors follow helicoids of mutually opposite senses and the means for rotating are operative to rotate the adjacent rotors in mutually opposite senses.

System and method for detection of carbonate core features from core images
11670073 · 2023-06-06 · ·

A method and system is provided for detection of carbonate core features from core images. An input carbonate core image is separated into a plurality of first blocks, each of the plurality of first blocks having a first block size. An image of each of the separated plurality of first blocks is input into an artificial intelligence (AI) model. The AI model being trained to predict for each first block, one of a plurality of carbonate core features and a corresponding confidence value indicating a confidence of the predicted carbonate core feature being imaged in the first block. Any bounding boxes of a first set of bounding boxes are detected in the input core image based on the predicted one of the plurality of carbonate core features and the corresponding confidence values for each first block.

System and method for detection of carbonate core features from core images
11670073 · 2023-06-06 · ·

A method and system is provided for detection of carbonate core features from core images. An input carbonate core image is separated into a plurality of first blocks, each of the plurality of first blocks having a first block size. An image of each of the separated plurality of first blocks is input into an artificial intelligence (AI) model. The AI model being trained to predict for each first block, one of a plurality of carbonate core features and a corresponding confidence value indicating a confidence of the predicted carbonate core feature being imaged in the first block. Any bounding boxes of a first set of bounding boxes are detected in the input core image based on the predicted one of the plurality of carbonate core features and the corresponding confidence values for each first block.

Silty floating mud collection device

A silty floating mud collection device, which includes a drive cylinder, an outer sleeve, a sampler barrel, an lug cover plate, a turning cover, a control ring and a control rod, where the drive cylinder includes a cylinder liner, a piston and a piston rod; the outer sleeve is fixedly connected below the cylinder liner; the sampler barrel is detachably installed inside the outer sleeve; the lug cover plate is fixedly connected to a lower end of the piston rod, and can close an upper-end opening of the sampler barrel; the turning cover is turnably installed at a lower end of the outer sleeve, and can close a lower-end opening of the sampler barrel; the control ring is located below the sampler barrel, and is used to block the turning cover which is in an open state; and an upper end of the control rod is connected to the lug cover plate, and a lower end of the control rod is connected to the control ring.

AUTOMATED CORE DESCRIPTION

An image associated with a core sample is received. The image represents a property of the core sample. A plurality of values of at least one image attribute are determined from the received image. A core description of the core sample is determined from a set of core descriptions. The core description describes the property of the core sample. The set of core descriptions are associated with a set of training core samples. Each training core sample has a corresponding core description and is associated with a set of plurality of values. Determining the core description of the core sample is based on a comparison between the plurality of values associated with the core sample and sets of plurality of values associated with the set of training core samples. The core description of the core sample is provided to an output device.

AUTOMATED CORE DESCRIPTION

An image associated with a core sample is received. The image represents a property of the core sample. A plurality of values of at least one image attribute are determined from the received image. A core description of the core sample is determined from a set of core descriptions. The core description describes the property of the core sample. The set of core descriptions are associated with a set of training core samples. Each training core sample has a corresponding core description and is associated with a set of plurality of values. Determining the core description of the core sample is based on a comparison between the plurality of values associated with the core sample and sets of plurality of values associated with the set of training core samples. The core description of the core sample is provided to an output device.