E21B47/117

Filtering of RSS pad noise in mud pulse telemetry systems and detection of RSS pad leaks

Systems and methods for adaptive filtering of RSS pad noise and the detection of RSS pad seal leakage in real-time.

Filtering of RSS pad noise in mud pulse telemetry systems and detection of RSS pad leaks

Systems and methods for adaptive filtering of RSS pad noise and the detection of RSS pad seal leakage in real-time.

SMART DEVICE, SYSTEM, AND METHOD FOR DIAGNOSING CASING-CASING ANNULUS (CCA) BEHAVIOR
20230121277 · 2023-04-20 · ·

A smart device located in a wellbore head during production operations in a well is disclosed. The smart device has a transceiver that exchanges signals with a wellhead sensor, the wellhead sensor monitoring a hydraulic line with T-connection for bleed-off. The transceiver communicates with the wellhead sensor through a first communication link established by the smart device. A localization system identifies pressure information relating to information of the well, including sizes of an inner casing and of an outer casing of the well, and a processor implements a combination of artificial intelligence and machine learning to pre-emptively provide warnings relating to possible estimated CCA behavior. Report information is generated that includes whether a source from a bleed-off is downhole or from trapped compressed fluid due to heat expansion, and provides a forward plan for a remedial job based on previous history of similar CCA behavior in the well.

SMART DEVICE, SYSTEM, AND METHOD FOR DIAGNOSING CASING-CASING ANNULUS (CCA) BEHAVIOR
20230121277 · 2023-04-20 · ·

A smart device located in a wellbore head during production operations in a well is disclosed. The smart device has a transceiver that exchanges signals with a wellhead sensor, the wellhead sensor monitoring a hydraulic line with T-connection for bleed-off. The transceiver communicates with the wellhead sensor through a first communication link established by the smart device. A localization system identifies pressure information relating to information of the well, including sizes of an inner casing and of an outer casing of the well, and a processor implements a combination of artificial intelligence and machine learning to pre-emptively provide warnings relating to possible estimated CCA behavior. Report information is generated that includes whether a source from a bleed-off is downhole or from trapped compressed fluid due to heat expansion, and provides a forward plan for a remedial job based on previous history of similar CCA behavior in the well.

BLOWOUT PREVENTER MULTI-TEST JOINT DEVICE, SYSTEM, AND METHOD FOR USING THE SAME
20230117044 · 2023-04-20 · ·

A test joint device installed in a well site includes a test joint with an outer diameter, a test plug disposed at a lower axial end of the test joint, a plurality of clamps configured to enlarge the outer diameter of the test joint; and a plurality of stop collars configured to retain the plurality of clamps in a vertical direction. A first clamp and a second clamp of the plurality of clamps are each attached to the test joint. The first clamp is configured to enlarge the outer diameter of the test joint to a first outer diameter and the second clamp is configured to enlarge the outer diameter of the test joint to a second outer diameter.

DETECTING GAS LEAKS IN OIL WELLS USING MACHINE LEARNING
20230063604 · 2023-03-02 ·

In an example method a system obtains first data regarding a first oil well, including one or more first thermal images of the oil well generated by one or more first thermal cameras. The system determines, using computerized neural network, a presence of a gas leak at one or more locations on the first oil well based on the first data. The one or more locations include at least one of a first location along a pipeline configured to convey gas to a flare area of the first oil well, or a second location at a rig floor of the first oil well. In response to determining the presence of the gas leak at the one or more locations, the system generates a notification indicating the presence of the gas leak at the one or more locations.

DETECTING GAS LEAKS IN OIL WELLS USING MACHINE LEARNING
20230063604 · 2023-03-02 ·

In an example method a system obtains first data regarding a first oil well, including one or more first thermal images of the oil well generated by one or more first thermal cameras. The system determines, using computerized neural network, a presence of a gas leak at one or more locations on the first oil well based on the first data. The one or more locations include at least one of a first location along a pipeline configured to convey gas to a flare area of the first oil well, or a second location at a rig floor of the first oil well. In response to determining the presence of the gas leak at the one or more locations, the system generates a notification indicating the presence of the gas leak at the one or more locations.

TOOL AND METHOD FOR VERIFICATION OF PRESSURE INTEGRITY BEHIND DOWNHOLE CASING
20230160299 · 2023-05-25 · ·

A method is for testing the pressure integrity of a barrier in an annulus outside a pipe string in a wellbore, the method including the steps of: establishing a fluid connection between an inside of the pipe string and an annulus out-side the pipe string at a first position and second positions in the wellbore, the second position being offset from the first position along the axial direction of the wellbore; establishing a temporary barrier between the fluid connections at the first and second positions in the wellbore; establishing a pressure differential across the temporary barrier; releasing a tracer from below the temporary barrier; and sniffing for tracer above the temporary barrier to verify a leakage through the temporary barrier and/or the barrier in the annulus. There is also disclosed a tool for executing such a method.

TOOL AND METHOD FOR VERIFICATION OF PRESSURE INTEGRITY BEHIND DOWNHOLE CASING
20230160299 · 2023-05-25 · ·

A method is for testing the pressure integrity of a barrier in an annulus outside a pipe string in a wellbore, the method including the steps of: establishing a fluid connection between an inside of the pipe string and an annulus out-side the pipe string at a first position and second positions in the wellbore, the second position being offset from the first position along the axial direction of the wellbore; establishing a temporary barrier between the fluid connections at the first and second positions in the wellbore; establishing a pressure differential across the temporary barrier; releasing a tracer from below the temporary barrier; and sniffing for tracer above the temporary barrier to verify a leakage through the temporary barrier and/or the barrier in the annulus. There is also disclosed a tool for executing such a method.

DETERMINING CHARACTERISTICS OF FLUID LOSS IN A WELLBORE
20230110388 · 2023-04-13 ·

A system can provide for determining characteristics loss in a wellbore. The system can include a processor and a non-transitory memory with instructions that are executable by the processor for causing the processor to execute operations. The operations can include receiving, from sensors in a wellbore, data corresponding to loss indicators. The operations can include determining a loss probability for each loss indicator. The operations can include determining a total loss probability of fluid loss in the wellbore based on the loss probabilities. The operations can include outputting the total loss probability to be used in a drilling operation in the wellbore.