[go: up one dir, main page]

WO2025050079A1 - Détection d'événement de fond de trou - Google Patents

Détection d'événement de fond de trou Download PDF

Info

Publication number
WO2025050079A1
WO2025050079A1 PCT/US2024/044917 US2024044917W WO2025050079A1 WO 2025050079 A1 WO2025050079 A1 WO 2025050079A1 US 2024044917 W US2024044917 W US 2024044917W WO 2025050079 A1 WO2025050079 A1 WO 2025050079A1
Authority
WO
WIPO (PCT)
Prior art keywords
event
measurement values
sensor
wellbore
surface equipment
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
PCT/US2024/044917
Other languages
English (en)
Inventor
Meng Li
Jaideva Goswami
Stephen Pink
Marcel Boucher
Ali MARZBAN
Junzhe WANG
Jay Yoon
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
National Oilwell Varco LP
Original Assignee
National Oilwell Varco LP
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by National Oilwell Varco LP filed Critical National Oilwell Varco LP
Publication of WO2025050079A1 publication Critical patent/WO2025050079A1/fr
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21BEARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B44/00Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21BEARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00Survey of boreholes or wells
    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21BEARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00Survey of boreholes or wells
    • E21B47/12Means for transmitting measuring-signals or control signals from the well to the surface, or from the surface to the well, e.g. for logging while drilling

Definitions

  • a drill string In drilling a borehole into an earthen formation, such as for the recovery of hydrocarbons or minerals from a subsurface formation, a drill string is formed from a plurality of pipe joints connected end-to-end with a drill bit at the lower end.
  • the drill bit is rotated, by rotation of the drill string or operation of a motor, so that the drill bit progresses downward into the earth to create a borehole along a predetermined trajectory.
  • the drill string may include sensors that gather information about downhole conditions.
  • the drill string may include pressure sensors that can be used to measure the annular pressure surrounding the drill string within the wellbore. These pressure measurements may be used to estimate the density of the drilling fluid surrounding the drill string and may help to capture information relating to changing conditions in the wellbore. Knowledge of these changing conditions can be helpful, for example, to allow a drilling system to control kicks (e.g., influx of fluid into the wellbore from a formation) and/or loss of fluid from the wellbore.
  • kicks e.g.
  • a drilling system includes a drill string and surface equipment coupled to the drill string.
  • the drill string includes a sensor array having first and second sensors distributed along a length of the drill string.
  • the first and second sensors are configured to measure a parameter of a wellbore, and transmit measurement values representative of the parameter to the surface equipment.
  • the surface equipment is configured to detect an event in the wellbore based on a first set of measurement values received from the first sensor, and detect the event in the wellbore based on a second set of measurement values received from the second sensor.
  • the surface equipment is also configured to assign a probability value to the event based on the event as detected in the first set of measurement values and the event as detected in the second set of measurement values.
  • a method for downhole event detection includes measuring a parameter of a wellbore using a first sensor of a drill string, and measuring the parameter of the wellbore using a second sensor of the drill string.
  • the method also includes detecting, by surface equipment, an event in the wellbore based on a first set of measurements provided by the first sensor, and detecting, by the surface equipment, the event in the wellbore based on a second set of measurements provided by the second sensor.
  • the method further includes assigning, by the surface equipment, a probability value to the event based on the event as detected in the first set of measurement values and the event as detected in the second set of measurement values.
  • a non-transitory computer-readable medium is encoded with instructions that when executed cause a processor to receive a first set measurement values representative of a parameter of a wellbore measured by a first sensor of a drill string, receive a second set of measurement values representative of the parameter of the wellbore measured by a second sensor of the drill string, and receive a third set of measurement values representative of the parameter of the wellbore measured by a third sensor of the drill string.
  • the instructions also cause the processor to detect an event in the wellbore based on the first set of measurement values received from the first sensor, detect the event in the wellbore based on the second set of measurement values received from the second sensor, and detect the event in the wellbore based on the third set of measurement values received from the second sensor.
  • the instructions further cause the processor to assign a probability value to the event based on the event as detected in the first set of measurement values and the event as detected in the second set of measurement values, and update the probability value assigned to the event based on the event as detected in the third set of measurement values.
  • FIG. 1 shows an example drilling system that includes downhole event detection in accordance with the present disclosure.
  • FIG. 2 is a view of a portion of the drill string of FIG. 1 , showing multiple sensors in accordance with the present disclosure.
  • FIG. 3 is a side view of a downhole tool of the drill string of FIG. 1 , the downhole tool having a pressure sensor array in accordance with the present disclosure.
  • FIG. 4 is a flow diagram for an example method of downhole event detection implemented by the drilling system of FIG. 1.
  • FIG. 5 is a graph of example density data showing identification of possible events in the downhole event detection method of FIG. 4.
  • FIG. 6 is a graph of example density data from two sensors illustrating determination of event probability values in the downhole event detection method of FIG. 4.
  • FIG. 7 is a graph of example density data from three sensors illustrating the updating of event probability values in the downhole event detection method of FIG. 4.
  • FIG. 8 shows an example drilling system with downhole event detection that includes influx location and influx arrival time determination
  • FIG. 9 is a block diagram of a rig computing system suitable for implementing the event detection method of FIG. 4 in the drilling system of FIG. 1, and the influx location and influx arrival time detemiination in the drilling system of FIG. 8.
  • FIG. 1 shows an example drilling system 100 that includes downhole event detection in accordance with the present disclosure.
  • a drilling platform 102 supports a derrick 104 having a draw works 136 for raising and lowering a drill string 108.
  • a top drive (not shown) or a rotary table 112 may be used to rotate the drill string 108.
  • a drill bit 114 is positioned at the downhole end of the tool string 126, and is driven by rotation of the drill string 108 or by a downhole motor (not shown) positioned in the tool string 126 up hole of the drill bit 114.
  • the drill string 108 includes a plurality of lengths (or joints) of drill pipe 118 that are coupled end-to-end.
  • a pump 120 circulates drilling fluid through a feedpipe 122 and downhole through the interior of drill string 108, through orifices in drill bit 114, back to the surface via the annulus 140 around the drill string 108, and into a retention pit 124.
  • the drilling fluid transports cuttings from the borehole 116 into the retention pit 124 and aids in maintaining the integrity of the borehole 116.
  • the drill string 108 includes sensors 110 distributed along the length thereof.
  • the sensors 110 may measure various parameters including those related to the drill string 108, the borehole 116, and the formation, and transmit measurement values to the surface.
  • the sensors 110 acquire information concerning various aspects of drilling operation (e.g., information about the formation being drilled, information about fluid in the borehole 116, information about the drill string 108).
  • sensors 110 may include pressure sensors and resistivity sensors.
  • the pressure sensors may measure pressure in the borehole 116.
  • Resistivity sensors may be used to transmit, and then receive, high frequency signals (e.g., electromagnetic waves) that travel through the formation surrounding the sensors 110.
  • sensors 110 By comparing the transmitted and received signals, information can be determined concerning the nature of the formation through which the signal traveled, such as whether it contains water or hydrocarbons.
  • Other sensors provided in sensors 110 may be used in conjunction with magnetic resonance imaging (MRI).
  • Still other sensors provided in the sensors 110 may include gamma scintillators, which are used to determine the natural radioactivity of the formation, and nuclear detectors, which are used to determine the porosity and density of the formation.
  • the sensors 110 may also provide information concerning the direction of the drilling. This information can be used, for example, to control the direction in which the drill bit 114 advances while drilling.
  • Such sensors may include a set of magnetometers and accelerometers to sense azimuth, inclination, and tool face direction.
  • FIG. 2 is a view of a portion of the drill string 108, showing multiple instances of the sensors 110 longitudinally spaced along the drill string 108.
  • an instance of the sensors 110 may be positioned relatively close to the drill bit 114 so as to capture bottom hole pressures.
  • Other instances of the sensors 1 10 may be spaced along the drill string 108 at equal spacings or unequal (e.g., asymmetric) spacings.
  • the information collected by the sensors 110 may be transmitted to the surface equipment (e.g., a rig computing system 132) for analysis.
  • the rig computing system 132 may be local to the drilling platform 102 or remote from the drilling platform 102 (e.g., coupled to the drilling platform 102 via a network, such as the Internet).
  • the drill pipe 118 of the drill string 108 is wired drill pipe that includes conductors for transmitting measurements in real-time from the sensors 110 to the surface equipment. Transmission of measurements to the surface via wired drill pipe allows the surface equipment to monitor downhole conditions and respond in real-time.
  • FIG. 3 is a side view of an example of a downhole tool including the example sensors 110, wherein the sensors 110 include three sensor locations 312 and a pair of sensors 310 at each of the sensor locations 312. As shown, a first pair of sensors 310 may be provided at or near a first end of the sensors 110. The first pair of sensors 310 may include a first sensor 310 with a second sensor 310 spaced a short distance longitudinally and/or circumferentially away from the first sensor 310.
  • a second pair of sensors 310 may be provided along the length of the sensors 110 and spaced from the first pair of sensors 310.
  • the second pair of sensors 310 may include a third sensor 310 with a fourth sensor 310 spaced a short distance longitudinally and/or circumferentially away from the third sensor 310.
  • a third pair of sensors 310 may be provided spaced from the second pair of sensors and at or near a second end of the sensors 110 opposite the first end.
  • the third pair of sensors 310 may include a fifth sensor 310 with a sixth sensor 310 spaced a short distance longitudinally and/or circumferentially away from the fifth sensor 310.
  • the second pair of sensors 310 may be arranged between the first and third pairs of sensors 310.
  • the second pair of sensors 310 may be located so as to be spaced a first distance 314 from the first pair of sensors 310 and a second distance 316 from the third pair of sensors 310. While this first and second distance 314/316 may be equal, FIG. 3 shows these distances 314/316 being unequal. This unequal spacing may provide additional measurement advantages.
  • the sensors 310 in each pair may be spaced from one another by a short distance.
  • the short distance may range from approximately 0.5 inches to approximately 18 inches, or from approximately 3 inches to approximately 12 inches or a short distance of approximately 6 inches may be provided.
  • the spacing of the pairs of sensors relative to adjacent pairs of sensors may range from approximately 24 inches to approximately 300 inches, or from approximately 36 inches to approximately 120 inches, or from approximately 48 inches to approximately 96 inches, or from approximately 60 inches to approximately 72 inches, for example.
  • the sensors 310 in the sensor array 304 may be pressure sensors.
  • mechanical pressure transducers or capacitance pressure transducers may be provided.
  • strain pressure transducers or quartz pressure transducers may be provided.
  • the sensors may be adapted to emit a signal based on the pressure it is experiencing at any given time. The sensors may emit a signal continually, periodically, or when prompted, for example.
  • the sensors 310 may be in wired or wireless communication with a downhole or surface controller or other receiver for analyzing the sensor data and/or applying the sensor data to control the drilling system 100.
  • the sensors 310 in the sensor array 304 may be powered by and/or in signal communication with the telemetry system including the wired drill pipe and/or with one another. That is, for example, where differential sensor measurements within the tool are desired, one or more sensors or sensor pairs may be hardwired to another so as to emit a differential pressure signal to the telemetry system.
  • FIG. 4 is a flow diagram for an example method 400 of downhole event detection that may be implemented by the drilling system 100. Though depicted sequentially as a matter of convenience, at least some of the actions shown can be performed in a different order and/or performed in parallel. Additionally, some implementations may perform only some of the actions shown. Operations of the method 400 may be performed in the drill string 108 and the rig computing system 132.
  • the measurement values transmitted by the sensors 110 may include a first set of measurements transmitted by a first instance of the sensors 110, a second set of measurements transmitted by a second instance of the sensors 110, and a third set of measurements transmitted by a third instance of the sensors 110.
  • the sensors 110 may include pressure sensors, and the measurements provided by the sensors 110 may be measurements of pressure in the borehole 116.
  • the surface equipment compares the smoothed measurements generated in block 404 to threshold values, and assigns symbol values to the threshold crossings.
  • the surface equipment may compare the smoothed measurements to a peak threshold value, a valley threshold value, and a zero-crossing threshold value to identify peaks, valleys, and zero-crossings in the smoothed measurement data.
  • a peak may be defined as a local maximum where the slope is greater than a peak threshold.
  • a valley may be defined as a local minimum where the slope is less than a valley threshold.
  • a zero-crossing may be defined as a sign change (e.g., “+” to or to “+”).
  • a symbol value of “1” may be assigned to an identified peak
  • a symbol value of “-1” may be assigned to an identified valley
  • a symbol value of “0” may be assigned to an identified zero-crossing.
  • the surface equipment selects one or more event codes (also referred to as an “event definition”) to be compared to the symbols assigned to the measurement data in block 406.
  • a symbol sequence [0, 1, 0, -1, 0] may define an event code for an influx (e.g., a flow of fluid from the formation into the borehole 116). This event code implies that an influx is marked by an increasing trend in the slope followed by decreasing values and change of sign.
  • Other event codes may be selected to define various other downhole events.
  • the surface equipment identifies possible downhole events by comparing the event codes selected in block 408 to the symbols assigned to the smoothed measurement data in block 406. FIG.
  • FIG. 5 is a graph of example pressure density data derived from pressure measurements showing identification of possible events.
  • FIG. 5 shows density data, smoothed density data, and nine possible fluid influx events identified by comparing the influx event code to the symbol sequence assigned to the smoothed density data.
  • an oval has been placed around the peak included in each symbol sequence that may indicate an influx event.
  • a shaded area around the peak defines the extent of the possible influx event based on the influx event code.
  • the last event code ‘0’ in the symbol sequence [0, 1 , 0, -1 , 0] is only used to confirm that the original density data returns to the non-event level after a peak, and is therefore not included in calculating the time duration of an influx event.
  • the surface equipment quantifies the uncertainty of the time difference between the downhole events detected by each of two adjacent sensors 110.
  • the surface equipment assigns a probability value to the event, where the probability value estimates the likelihood that the event is real.
  • the surface equipment may estimate the uncertainty in time (relative to the location of a possible downhole event) between peaks at two adjacent instances of the sensors 110. The uncertainty may be estimated based on the distance between the two instances of the sensors 110 in the drill string 108 (the spacing of the two adjacent instances of the sensors 110) and flow rate of the drilling fluid in the borehole 116.
  • the surface equipment determines a probability value for each possible downhole event being real by comparing the location of a peak of a possible event detected in a first set of measurements to a location of peak of in a second set of measurements.
  • an overall probability of the downhole event being real may be determined as a weighted sum of probabilities determined for all available locations of the sensors 110.
  • FIG. 6 is a graph of example density data derived from two instances of the sensors 110 illustrating determination of event probability values in the method 400.
  • the data in FIG. 6 is similar to that of FIG. 5.
  • the graph 602 represents density data and possible influx events derived from a first set of measurements received from a first sensor of the sensors 110.
  • the graph 604 represents density data and possible influx events derived from a second set of measurements received from a second sensor of the sensors 110.
  • the interval 606 represents the expected time from a peak of a possible event 610 identified in the graph 602 to a peak of a possible event identified in the graph 604.
  • the interval 608 represents the expected time from a peak of a possible event 612 identified in the graph 602 to a peak of a possible event identified in the graph 604.
  • the curves 615 and 618 represent the probability distribution for the timing of the peak of a downhole event in the graph 604 relative to the peak of an event in the graph 602.
  • the peak of the curve 614 of the graph 604 is relatively distant (outside of the curve 615) in time from the optimal time represented as the apex of the curve 615. Accordingly, a low value (e.g., approximately zero) may be assigned to the probability that the downhole event 610 is real.
  • the peak of the possible downhole event 616 of the graph 604 is relatively near (within of the curve 618) in time from optimal time represented as the apex of the curve 618. Accordingly, a high value (e.g., approximately one) may be assigned to the probability that the downhole event 612 is real.
  • the surface equipment initiates mitigation of the downhole event deemed to be real in block 416.
  • the surface equipment may halt drilling, halt rotation of the drill bit 114, halt extension of the borehole 116, increase drilling fluid density, apply backpressure using managed pressure drilling, space out and shut in the wellbore using annular or pipe rams, initiate autonomous well control, shear the drill pipe, modify the height of drilling fluid using controlled mud level, etc.).
  • AI-AK define the annulus areas of the borehole 116 at K sections.
  • the annulus area can be calculated as the area of the outer casing (varying at different sections) minus the area of internal tubing (fixed based on the diameter of the tubing).
  • the annulus areas Ai, A2, AK-I, and AK are shown in FIG. 8.
  • ACI-ACK-I define the K-l locations where the annulus area of the borehole 116 changes significantly.
  • n is the index of the sensor 810 at which the fluid influx was last detected, n is updated as the fluid influx moves towards the target location 812 in the borehole 116;
  • D cr is the depth of the target location
  • D n is the depth of the sensor 810 at which the fluid influx was last detected;
  • k is the index of the section Ak that is between sensors 81 On and 810n+l;
  • FRn is the stable flow rate (e.g., standard deviation of FR ⁇ 5) measured at the sensor 810 at which the fluid influx was last detected; and t 11 is the time duration (e.g., minutes) since the fluid influx was detected at sensor location n.
  • FR t is the stable flow rate (e.g., standard deviation of FR ⁇ 5) measured at the sensor 810 at which the fluid influx was last detected; and t 11 is the time duration (e.g., minutes) since the fluid influx was detected at sensor location n.
  • n n can be expanded if multiple area sections lie between sensor locations n and n+1.
  • RUL remaining useful life
  • 1 7 'y pR is the expected time duration for fluid influx to flow from the current sensor location (n) to the next sensor location (n+1); to flow from the location of the sensor n+1 to the location of the sensor N; and isthe timeforthe fluid influxto flowfrom the location ofsensorNtothetarget location 812.
  • Influx location determination and influx arrival time determination as described herein may be implemented by the rig computing system 132 (e.g., as part of the method 400).
  • the rig computing system 132 may apply the results of influx location determination and/or influx arrival time determination to initiate mitigation or to select a mitigation action to be performed as described in block 418 of the method 400.
  • FIG. 9 is a block diagram of a rig computing system 900 suitable for implementing the event detection method of FIG. 4 in the drilling system 100.
  • the rig computing system 900 is an example of the rig computing system 132.
  • the rig computing system 900 may be coupled to drilling components 914, which may include the pump 120, the draw works 136, the sensors 110, and other rig and downhole components.
  • the rig computing system 900 may be coupled to one or more network devices 912 across a network 910.
  • a network device 912 may include any kind of device accessible across network 910 with which the rig computing system 900 may communicate.
  • network device 912 may be an additional rig computing system, a server, or a remote computer.
  • Network 910 may include many different types of computer networks available today, such as the Internet, a corporate network, a LAN, or a personal network such as those over a Bluetooth connection. Each of these networks can contain wired or wireless programmable devices and operate using any number of network protocols (e.g., TCP/IP). Network 910 may be connected to gateways and routers, servers, and end user computers.
  • TCP/IP network protocols
  • the rig computing system 900 may include, for example, a processor 902 and storage 904.
  • the processor 902 may include a single processor or multiple processors. Further, the processor 902 may include different kinds of processors, such as a CPU and a GPU.
  • the storage 904 may include a number of software or firmware modules executable by processor 902. Storage 904 is a non- transitory computer-readable medium and may include a single memory device or multiple memory devices, including semiconductor memory, magnetic memory, optical memory, etc. As depicted, storage 904 may include measurements 906, downhole event detection 908, and influx location and arrival time determination 916. The measurements 906 include measurement values received from the sensors 110.
  • the downhole event detection 908 includes instructions executable by the processor 902 to provide the downhole event detection of the method 400.
  • the 916 includes instructions executable by the processor 902 to determine the location of an influx in the borehole 116, and the time of arrival of the influx at a target location as described herein.
  • the storage 904 may also include one or more drilling applications.
  • the drilling applications may import well plans that describe, for example, the desired drilling directions, and execute the well plans to drill the borehole 116.
  • components are depicted within a single computing device, the components and functionalities described with respect to the rig computing system 900 may instead be reconfigured in a different combination or may be distributed among multiple computing devices.
  • the rig computing system 900 may transmit drilling data, downhole event indications, or other information from the rig computing system 900 to the network device 912.
  • rig computing system 900 may transmit data related to one or more of the drilling applications or a detected downhole event to a network device 912 associated with an entity that manages the drilling system 100 or a particular drilling application.
  • the network device 912 may include end user computers or servers utilized in conjunction with rig computing system 900.
  • the rig computing system 900 may also include user interface devices, such as keyboards, monitors, etc.) that allow a user to interact with the drilling system 100.
  • the rig computing system 900 may provide information related to a downhole event detected using the method 400 on a display device, such as a computer monitor, to inform a user of the downhole event.
  • the rig computing system 900 may automatically, or responsive to a control prompt received via a user interface device, initiate mitigation actions responsive to the downhole event.
  • Certain terms have been used throughout this description and claims to refer to particular system components. As one skilled in the art will appreciate, different parties may refer to a component by different names. This document does not intend to distinguish between components that differ in name but not function.
  • the terms “including” and “comprising” are used in an open-ended fashion, and thus should be interpreted to mean “including, but not limited to. .. .”
  • the term “couple” or “couples” is intended to mean either an indirect or direct connection. Thus, if a first device couples to a second device, that connection may be through a direct connection or through an indirect connection via other devices and connections.
  • the recitation “based on” is intended to mean “based at least in part on.” Therefore, if X is based on Y, X may be a function of Y and any number of other factors.
  • a device that is “configured to” perform a task or function may be configured (e.g., programmed and/or hardwired) at a time of manufacturing by a manufacturer to perform the function and/or may be configurable (or reconfigurable) by a user after manufacturing to perform the function and/or other additional or alternative functions.
  • the configuring may be through firmware and/or software programming of the device, through a construction and/or layout of hardware components and interconnections of the device, or a combination thereof.
  • a circuit or device that is described herein as including certain components may instead be adapted to be coupled to those components to form the described circuitry or device.
  • a structure described as including one or more elements may instead include only some of the elements within a single physical device and may be adapted to be coupled to at least some of the elements to form the described structure either at a time of manufacture or after a time of manufacture, for example, by an end-user and/or a third-party.

Landscapes

  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Geology (AREA)
  • Mining & Mineral Resources (AREA)
  • Physics & Mathematics (AREA)
  • Environmental & Geological Engineering (AREA)
  • Fluid Mechanics (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geochemistry & Mineralogy (AREA)
  • Geophysics (AREA)
  • Remote Sensing (AREA)
  • Geophysics And Detection Of Objects (AREA)

Abstract

L'invention concerne un procédé de détection d'événement de fond de trou comprenant la mesure d'un paramètre d'un puits de forage à l'aide d'un premier capteur d'un train de tiges de forage et la mesure du paramètre du puits de forage à l'aide d'un second capteur du train de tiges de forage. Le procédé comprend également la détection, par un équipement de surface, d'un événement dans le puits de forage, sur la base d'un premier ensemble de mesures fournies par le premier capteur, et la détection, par l'équipement de surface, de l'événement dans le puits de forage sur la base d'un second ensemble de mesures fournies par le second capteur. Le procédé comprend en outre les étapes consistant à attribuer, par l'équipement de surface, une valeur de probabilité à l'événement sur la base de l'événement tel que détecté dans le premier ensemble de valeurs de mesure et de l'événement tel que détecté dans le second ensemble de valeurs de mesure.
PCT/US2024/044917 2023-09-01 2024-08-31 Détection d'événement de fond de trou Pending WO2025050079A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202363580220P 2023-09-01 2023-09-01
US63/580,220 2023-09-01

Publications (1)

Publication Number Publication Date
WO2025050079A1 true WO2025050079A1 (fr) 2025-03-06

Family

ID=94774828

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2024/044917 Pending WO2025050079A1 (fr) 2023-09-01 2024-08-31 Détection d'événement de fond de trou

Country Status (2)

Country Link
US (1) US20250075610A1 (fr)
WO (1) WO2025050079A1 (fr)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110024189A1 (en) * 2009-07-30 2011-02-03 Halliburton Energy Services, Inc. Well drilling methods with event detection
US20110220410A1 (en) * 2008-10-14 2011-09-15 Schlumberger Technology Corporation System and method for online automation
US20140110167A1 (en) * 2011-11-02 2014-04-24 Landmark Graphics Corporation Method and system for predicting a drill string stuck pipe event
US20170198567A1 (en) * 2014-07-07 2017-07-13 Halliburton Energy Services, Inc. Downhole Microseismic Detection for Passive Ranging to a Target Wellbore
US20170370151A1 (en) * 2014-12-30 2017-12-28 National Oilwell Varco, L.P. Systems and methods to control directional drilling for hydrocarbon wells
US20200355059A1 (en) * 2017-12-22 2020-11-12 Landmark Graphics Corporation Robust Early Kick Detection Using Real Time Drilling

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110220410A1 (en) * 2008-10-14 2011-09-15 Schlumberger Technology Corporation System and method for online automation
US20110024189A1 (en) * 2009-07-30 2011-02-03 Halliburton Energy Services, Inc. Well drilling methods with event detection
US20140110167A1 (en) * 2011-11-02 2014-04-24 Landmark Graphics Corporation Method and system for predicting a drill string stuck pipe event
US20170198567A1 (en) * 2014-07-07 2017-07-13 Halliburton Energy Services, Inc. Downhole Microseismic Detection for Passive Ranging to a Target Wellbore
US20170370151A1 (en) * 2014-12-30 2017-12-28 National Oilwell Varco, L.P. Systems and methods to control directional drilling for hydrocarbon wells
US20200355059A1 (en) * 2017-12-22 2020-11-12 Landmark Graphics Corporation Robust Early Kick Detection Using Real Time Drilling

Also Published As

Publication number Publication date
US20250075610A1 (en) 2025-03-06

Similar Documents

Publication Publication Date Title
US20240418079A1 (en) System and method of triggering, acquiring and communicating borehole data for a mwd system
US11125077B2 (en) Wellbore inflow detection based on distributed temperature sensing
US11526977B2 (en) Methods for transmitting data acquired downhole by a downhole tool
US9557438B2 (en) System and method for well data analysis
CN110191999B (zh) 用多个初始猜测进行的多层地床边界距离(dtbb)反演
WO2016025245A1 (fr) Appareil, systèmes et procédés de télémétrie de puits
US10094948B2 (en) High resolution downhole flaw detection using pattern matching
US11248463B2 (en) Evaluation of sensors based on contextual information
NO348552B1 (en) Real-time pattern recognition and automatic interpretation of acoustic reflection images
WO2022125107A1 (fr) Procédés d'apprentissage profond pour détection de fuite de puits de forage
WO2018027089A1 (fr) Contrôle automatique de la qualité d'une diagraphie pétrophysique
US10060246B2 (en) Real-time performance analyzer for drilling operations
US10125603B2 (en) Frequency sweeps for encoding digital signals in downhole environments
WO2023192611A1 (fr) Navigation automatisée de réservoir
WO2021040769A1 (fr) Déformation temporelle dynamique de signaux plus choix utilisateurs
US20250075610A1 (en) Downhole Event Detection
US11339646B2 (en) Iterative borehole shape estimation of cast tool
NO20240370A1 (en) Tubing eccentricity evaluation using acoustic signals
AU2023377449A1 (en) Event detection using hydraulic simulations
US20230145859A1 (en) Real-time well trajectory projection using stochastic processes
US20250215791A1 (en) On surface gamma ray sensor for calibrating cuttings depth in underbalanced coiled tubing drilling rigs
US20240035367A1 (en) Method and system for increasing effective data rate of telemetry for wellbore construction
US20230313616A1 (en) Automated cluster selection for downhole geosteering applications
WO2024258774A1 (fr) Modèles de résistivité gradationnelle à anisotropie locale pour inversion de distance par rapport à une limite de lit

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 24861256

Country of ref document: EP

Kind code of ref document: A1