Not Applicable
Not Applicable.
This disclosure relates generally to the field of seismic surveying while wellbore drilling using a drill bit as a seismic energy source. More specifically, the disclosure relates to apparatus and methods for acquiring drilling vibration data created by drill bit interactions with the formation being drilled using sensors attached to the drill string and/or sensors attached to the earth, and processing the acquired data to obtain properties of rock formations using seismic signals generated by interaction of a drill bit with rock formations.
Obtaining drilling vibration signals generated by interaction of a drill bit with rock formations during drilling of such formations is known in the art for the purpose of obtaining certain seismic properties of the rock formations. A method and apparatus for obtaining such signals and processing the signals to obtain seismic properties are described In U.S. Pat. No. 4,926,391 issued to Rector et al. A generalized description of an apparatus disclosed in such patent is as follows. The apparatus includes a drilling rig and a rotary drill bit attached to the drilling rig for providing seismic waves as the drills in the earth. There is at least one seismic wave sensor spaced from the rotary drill bit in the earth for receiving signals traveling via direct seismic wave paths and signals traveling via seismic wave paths reflected by the subterranean geologic formation from the seismic waves provided by the drill bit. At least one reference sensor is located on or proximate to the drilling rig. A means is connected to receive the reference signal from the reference sensor and the drill bit generated signals from the at least one seismic wave sensor to distinguish the drill bit generated signals from interference signals by cross-correlating the reference and seismic wave sensor signals. The apparatus has a means connected to receive the reference signals either prior to or subsequent to their cross correlation for reference deconvolution or whitening. A means is connected to receive the cross-correlated reference and seismic wave sensor signals for eliminating rig generated energy from the reference signals. A means is connected to receive the cross correlated reference and seismic wave sensor signals from the rig generated energy eliminating means for separating the seismic wave sensor signals into a first group of the seismic wave sensor signals representing the drill bit generated seismic waves received by the at least one seismic wave sensor in the direct seismic wave paths, and a second group of the seismic wave sensor signals representing the drill bit generated seismic waves received by the at least one seismic wave sensor in the seismic wave paths reflected by the subterranean geologic formation.
One seismic property of rock formations that is not provided by seismic while drilling apparatus methods and apparatus known in the art is local mechanical properties of the of the rock formations being drilled such as acoustic impedance. It is desirable to obtain such properties during drilling for wells used, as a non-limiting example, for blast holes drilled as part of construction of mining procedures. Having information about rock formation properties such as acoustic impedance may assist in choosing appropriate blasting parameter (e.g., weight of, placement of and type of explosive).
A vibration while drilling acquisition and signal processing system according to one aspect of this disclosure includes at least one sensor assembly affixable to a rotating part of a drill string in a drilling unit, each such sensor assembly comprises at least one sensor for detecting vibrations in the drill string. A first processor is in signal communication with the at least one sensor and programmed to digitally sample signals from the sensor. A transmitter is in signal communication with the first processor to communicate digitized signals to a device disposed apart from the drill string, the first processor programmed to operate the transmitter. An electric power source provides power to the sensor, the first processor and the transmitter. At least one of the first processor and a second processor associated with the device is programmed to calculate properties of rock formations using only detected vibration signals from the drill string.
In some embodiments, the first processor is programmed to compress the digitized signals.
In some embodiments, the first processor is programmed to perform autocorrelation to compress the digitized signals.
In some embodiments, the first processor is programmed to operate the transmitter intermittently during operation of the sensor assembly.
In some embodiments, the sensor assembly is disposed in a housing affixed to the drill string using at least one permanent magnet.
In some embodiments, the at least one sensor comprises one or more of an accelerometer, a multi-axial accelerometer and a microelectrical mechanical accelerometer.
In some embodiments, the electric power source comprises a battery.
Some embodiments further comprise an energy conversion device electrically connected to the electric power source, the energy conversion unit converting at least one of vibrational energy and electromagnetic energy to electrical power.
In some embodiments, the properties comprise compressional modulus or compressional velocity.
Some embodiments further comprise a data storage device in signal communication with the first processor to store digitized signals in the sensor assembly during drilling and for later interrogation and processing.
In some embodiments, the affixing of the sensor assembly to the drill string is configured to provide substantially resonance free mounting to at least 200 hertz and the signal sampling rate is at or above 1 Kilohertz.
Some embodiments further comprise an acoustic reflector in the drill string.
A method for acquiring drill string vibration data during drilling according to another aspect of this disclosure comprises detecting vibrations along a rotating part of a drill string while drilling a borehole. Signals corresponding to the detected vibrations in a device mounted to the drill string are digitized. The digitized signals are transmitted to a location apart from the drill string. Properties of rock formations are calculated for, (i) at the location using only the digitized signals, and (ii) in the device mounted on the drill string using only the digitized signals.
Some embodiments further comprising storing the digitized signals in the device mounted on the drill string and subsequently interrogating and processing the stored, digitized signals.
In some embodiments, the properties comprise compressional modulus.
Some embodiments further comprise compressing the digitized signals.
Some embodiments further comprise operating the transmitter intermittently and transmitting the compressed, digitized signals using the intermittently operated transmitter.
In some embodiments, wherein the transmitting is performed intermittently when drilling has stopped.
Some embodiments further comprise converting vibrations in the drill string into electrical power to enable the digitizing and transmitting.
A vibration while drilling acquisition and signal processing system according to another aspect of this disclosure comprises at least one sensor assembly affixable to a rotating part of a drill string in a drilling unit. The at least on sensor assembly comprises at least one sensor for detecting vibrations in the drill string. A transmitter is in signal communication with the at least one sensor to communicate vibration signals to a device disposed apart from the drill string. An electric power source provides power to the at least one sensor and the transmitter. A receiver and a processor are disposed at the location for receiving the signal from the device, wherein the processor is programmed to calculate properties of rock formations only detected vibration signals from the drill string.
In some embodiments, the at least one sensor comprises a piezoelectric or piezo resistive sensor.
In some embodiments, the electric power source comprises a battery.
Some embodiments further comprise an energy conversion device electrically connected to the electric power source, the energy conversion unit converting at least one of vibrational energy and radio frequency energy to electrical power.
In some embodiments, the properties include compressional modulus.
Some embodiments further comprise an acoustic reflector in the drill string.
A vibration while drilling acquisition and signal processing system according to another aspect of this disclosure comprises at least one sensor assembly adjacent to a rotating part of a drill string in a drilling unit, each such sensor assembly comprises at least one sensor for remotely sensing vibrations in the drill string. A first processor is in signal communication with the at least one sensor and programmed to digitally sample signals from the sensor. At least one of the first processor and a second processor is associated with the system and is programmed to calculate properties of rock formations using only detected vibration signals from the drill string.
In some embodiments, the sensor senses magnetic field to measure axial displacement or velocity
In some embodiments, the sensor utilizes electromagnetic induction to measure axial displacement or velocity
In some embodiments, the sensor utilizes a capacitive measurement of axial displacement or velocity.
Some embodiments further comprise an acoustic reflector in the drill string.
Components of a vibration while drilling data acquisition and processing system are shown schematically in
The drill bit 22C may be a roller cone drill bit of types well known in the art for borehole drilling having one or more cones rotatably mounted to a bit body such that rotation of the bit body causes corresponding rotation of the one or more cones. The cones may comprise a plurality of cutting elements such as integrally formed or affixed teeth, or inserts made from hard material such as tungsten carbide or carbide coated steel. As the cutting elements are urged into contact with the rock formations (25 in
Referring to
Various embodiments of the shock absorber 24 are shown in
In embodiments used in connection with hydrocarbon extraction well the system may comprise one or more of the following features. The sensor (see 52 in
A sensor 52 may be of a type that can detect axial vibrations in the drill string (22 in
Signals generated by the sensor 52 may be conducted to an analog to digital converter (ADC) 54. Digitized signals from the ADC 54 may be conducted to a digital signal processor (DSP) 56. The DSP 56 may perform processes on the digitized signals from the ADC 54, for example and without limitation, filtering and correlation. Signals processed in the DSP 56 representing selected length time windows may be stored in a buffer 58. Signals in the buffer 58 may be communicated to a mass storage device 60 such as a solid state memory. In such embodiments, the signals in the mass storage device 60 may be interrogated and processed, for example and without limitation in the data processing unit (40 in
Operation of the ADC 54, DSP, 65, buffer 58, mass storage device 60, data compression device 62 and transceiver 66 may be controlled by a first central processor 64. In some embodiments, the first central processor 64 may operate the transceiver 66 intermittently based on the degree of data compression performed by the data compression device 62 so as to limit the amount of time the transceiver 66 operates. By limiting the transceiver operating time based on data compression, power from the power source (18 in
In some embodiments, the central processor 64 may be capable of 10 Mflops to implement processes such as autocorrelation and data compression. In some embodiments, the first central processor 64 may itself implement the mass storage device 60 and/or the buffer 58, and may have in such embodiments at least 500 Mbytes storage to hold up to 20 minutes of data. The first central processor 64 may be remotely configurable, e.g., by communication using the transceiver 66. In some embodiments, the central processor 64 may calculate properties of the rock formations (25 in
In some embodiments, the circuitry 50 may be designed to have an average power draw of at most 25 mW. In some embodiments, the power source (18 in
Power management performed by the central processor 64 may be configured to minimize high power operations such as data transmission (i.e., operation of the transceiver 66). Provision may be provided to activate and deactivate a “sleep” mode based on measured vibration amplitude (e.g., acceleration levels) so that power consumption is minimized while borehole drilling is not underway.
The foregoing components of the circuitry 50 may be implemented in any known form whether on a single integrated circuit or multiple, individual or combination circuit components. Fully separate components as shown in
In some embodiments, either or both the first central processor (64 in
In some embodiments, electrical power to operate the circuitry (50 in
In the example embodiment shown in
Other implementations of an energy conversion device may comprise vibrational energy conversion devices such as sold under designation modelA, modelD and/or modelQ by Revibe Energy, Falkenbergsgatan 3, 412 85 Gothenburg, Germany. Such energy conversion device is shown in
The methods described thus far have been successfully tested on mine drilling rigs of the following types; Rotary drills with roller tricone bits, Down the hole “DTH” pneumatic hammer drills, “RC” Reverse circulation drills, and “DDH” diamond drill bits.
However the physical shock of testing the system mounted on the drill string on a Top hammer drill proved to be challenging due to the extreme shock environment causing failure of the sensors, electronics, and batteries. To do this a vibration sensing method using only a rugged passive element attached to the drill shaft is employed.
In Some embodiments a cylindrical profile change is added on to the shank adaptor, machined such that eccentricity is minimized and the signal detected by an electromagnetic, magnetic or capacitive sensor is placed proximal to, but not connected to the drill shaft that can measure displacement, velocity, or acceleration, of the shank adaptor with frequency up to several kilohertz.
In some embodiments the cylinder is a magnetic material magnetized such that magnetic fields are aligned with poles along the axis of the drill shaft. A magnetic sensors detects the displacement, velocity or acceleration of the drill rod, via a change in magnetic flux as vibration passes along the drill shaft axis.
In some embodiments the cylinder is a material with a higher magnetic susceptibility than the rest of the shaft such that in the presence of a constant magnetic field a signal is induced in a magnetic sensor or pick up coil when there is an axial displacement of said cylindrical body. Such a device is similar to “pick up” from an electric guitar.
In some embodiments the cylinder against which one face a capacitive sensor is placed when there is an axial displacement of said cylindrical body a signal is generated.
In some embodiments the sensor is designed to maximize the sensitivity to axial vibration. and is designed to minimize or cancel the noise from rotation, and non-axial vibration.
In some embodiments the processor, sensor electronics and battery may reside on or above a “shock sub” or shock absorbing element, thus reducing the exposure to shock of the electronics, whereas the sensor itself may reside below the said shock sub, and measure with full fidelity the vibration, and be connected via a shielded cable.
Although only a few examples have been described in detail above, those skilled in the art will readily appreciate that many modifications are possible in the examples. Accordingly, all such modifications are intended to be included within the scope of this disclosure as defined in the following claims.
Continuation in part of U.S. application Ser. No. 15/898,437 filed on Feb. 17, 2018 and incorporated herein by reference in its entirety.
Number | Name | Date | Kind |
---|---|---|---|
4926391 | Rector et al. | May 1990 | A |
5592438 | Rorden | Jan 1997 | A |
7911760 | Lownds | Mar 2011 | B2 |
8416418 | Kendall | Apr 2013 | B2 |
8538698 | Heck | Sep 2013 | B2 |
8649980 | Gulati | Feb 2014 | B2 |
9618310 | Brent et al. | Apr 2017 | B2 |
10697294 | Palmer | Jun 2020 | B2 |
20020195276 | Dubinsky et al. | Dec 2002 | A1 |
20040216872 | Foster et al. | Nov 2004 | A1 |
20050024231 | Fincher et al. | Feb 2005 | A1 |
20050065730 | Sinha | Mar 2005 | A1 |
20050171700 | Dean | Aug 2005 | A1 |
20060023105 | Kostrzewski | Feb 2006 | A1 |
20060262480 | Stewart | Nov 2006 | A1 |
20070081091 | Pan | Apr 2007 | A1 |
20090289808 | Prammer | Nov 2009 | A1 |
20100020550 | Kawashima | Jan 2010 | A1 |
20100033552 | Ogawa | Feb 2010 | A1 |
20110149684 | Hurst | Jun 2011 | A1 |
20120139325 | Norberg et al. | Jun 2012 | A1 |
20120169841 | Chemali | Jul 2012 | A1 |
20120211649 | Hallundbaeck | Aug 2012 | A1 |
20120222901 | Pei | Sep 2012 | A1 |
20120323495 | Zhou | Dec 2012 | A1 |
20130073206 | Hou et al. | Mar 2013 | A1 |
20130080060 | Yang | Mar 2013 | A1 |
20130118249 | Conn | May 2013 | A1 |
20130192850 | Craik | Aug 2013 | A1 |
20130204202 | Trombly | Aug 2013 | A1 |
20130318019 | Jamison et al. | Nov 2013 | A1 |
20140083765 | Hoult et al. | Mar 2014 | A1 |
20140119159 | Calvez et al. | May 2014 | A1 |
20140136170 | Leahy et al. | May 2014 | A1 |
20140343754 | Poettker et al. | Nov 2014 | A1 |
20150006444 | Tamatsu et al. | Jan 2015 | A1 |
20150052092 | Tang et al. | Feb 2015 | A1 |
20150071033 | Thompson et al. | Mar 2015 | A1 |
20150381981 | Gelman | Dec 2015 | A1 |
20160042272 | Mohaghegh | Feb 2016 | A1 |
20160069655 | Brent | Mar 2016 | A1 |
20160119159 | Zhao | Apr 2016 | A1 |
20160209195 | Kruger et al. | Jul 2016 | A1 |
20160299091 | Bamber et al. | Oct 2016 | A1 |
20160313107 | Birkin | Oct 2016 | A1 |
20170028443 | Bamber et al. | Feb 2017 | A1 |
20170038188 | Handel | Feb 2017 | A1 |
20170102452 | Lilburn | Apr 2017 | A1 |
20170124711 | Chandraker et al. | May 2017 | A1 |
20170146452 | Ben-Dor et al. | May 2017 | A1 |
20190257197 | Palmer | Aug 2019 | A1 |
20190257964 | Palmer | Aug 2019 | A1 |
20190257972 | Palmer | Aug 2019 | A1 |
Number | Date | Country |
---|---|---|
0336477 | Nov 1991 | EP |
2005210146 | Aug 2005 | JP |
Entry |
---|
International Search Report and Written Opinion, International Application No. PCT/US2019/018220 dated Jun. 3, 2019. |
S.G. Walters, Driving Productivity by Increasing Feed Quality Through Application of Innovative Grade Engineering Technologies, 2016. |
Segui, J.B., et al. “Blast Design Using Measurment While Drilling Parameters”, Fragblast, 6:3-4, 287-299 (2010). |
Poletto, P., et al., “Numerical Modeling and Interpretation of Drillstring Waves”, Geophysics, vol. 66, No. 5, pp. 1569-1581 (Sep.-Oct. 2001). |
Luts, J. et al, Instantaneous Logging Based on a Dynamic Theory of Drilling, Journal of Petroleum Technology, Jun. 1972. |
Number | Date | Country | |
---|---|---|---|
20190361139 A1 | Nov 2019 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 15898437 | Feb 2018 | US |
Child | 16536016 | US |