The present disclosure relates generally to the field of wellbore logging, and more particularly to the field of motion correction of sensor measurements.
Sensors may be positioned at the lower end of a well drilling string which, while drilling is in progress, continuously or intermittently monitor predetermined drilling parameters and formation data and transmit the information to a surface detector by some form of telemetry. Such techniques may be termed “measurement while drilling” (MWD) and/or “logging while drilling” (LWD). As used herein, the terms MWD and LWD are considered interchangeable. Some sensors may generate data that is processed and used downhole, while other sensors may generate data that is stored in the downhole tool and processed later when the tool is returned to the surface.
A number of downhole sensors used in MWD/LWD systems may experience measurement errors caused by the dynamic movement of the sensor related to the high shock and vibration downhole drilling environment. For example, borehole imaging tools and magnetic resonance imaging (MRI) tools may experience lateral movements that approach the measurement resolution of such sensors during the measurement cycle. Such movement may create measurement artifacts that substantially degrade the usefulness of the processed measurement output.
A better understanding of the present invention can be obtained when the following detailed description of example embodiments are considered in conjunction with the following drawings, in which:
While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It should be understood, however, that the drawings and detailed description thereto are not intended to limit the invention to the particular form disclosed, but on the contrary, the intention is to cover all modifications, equivalents and alternatives falling within the scope of the present invention as defined by the appended claims.
Referring initially to
In one example, a surface system 105 comprises a derrick 121 supporting the drillstring 122 and BHA 100. A pump supplies drilling fluid to the interior of drillstring 122, and through the interior of the bottomhole drilling assembly 100. The drilling mud exits from the nozzles 15 in the bit 32 and functions to cool and lubricate the bit 32 and to remove earth cuttings and carry the cuttings to the surface along the annulus 18 of the wellbore 20. The drilling mud may also serve as a communication medium between telemetry and control units 190 in the mud pulser collar 90 and components at the surface of the well. By modulating the flow of the drilling mud through the interior of the drillstring, pressure pulses may be generated in the column of drilling fluid. By selectively varying the pressure pulses through the use of a mud pulser in the mud pulser collar 90, encoded pressure pulse signals can be generated to carry information indicative of downhole parameters to the surface for analysis. The pressure signals may be detected by a sensor 125 in the surface piping and the signal may be decoded and processed by a surface controller 120. Surface controller 120 may have suitable processors, data storage, and user interface equipment for receiving and processing received signals from downhole into suitable information for drilling and formation evaluation and control. Alternatively, drillstring 122 may comprise hard-wired drill pipe, known in the art. Such hard-wired drill pipe comprises a conductor installed therein and suitable couplings at each end of the drill pipe for enabling power and data communication between the surface and downhole tools. Such drill pipe is commercially available, and will not be described here in detail. In yet another alternative embodiment, drill string 122 may comprise wired or unwired coiled tubing (not shown) connected to BHA 100. Such coiled tubing is known in the art and is not described here in detail.
The stabilizer 65 may include adjustable blades for steering BHA 100. The inclination of the bottomhole assembly can be changed by selectively varying the diameter of the stabilizer blades. The course of BHA 100 also can be changed in accordance with other techniques, such as by selectively turning a downhole motor, adjusting the angle of bend in a bent motor housing, or changing the weight on bit of the system.
The BHA 100 may also include a downhole controller unit 150, which orchestrates the operation of the various downhole sensors. As will be described in more detail below, the downhole controller 150 also provides processing capabilities downhole to permit the sensed data to be processed in a real-time environment, and to permit the processed data to be available during the drilling process. As one skilled in the art will realize, the downhole controller may be located in any convenient location in the BHA 100, such as, for example, the mud pulser collar 90. Similarly, a power source 35 is shown in the MWD tool 50. The power source 35 may comprise batteries and/or an electric generator, and may be positioned in any convenient location to provide power to the various electrical assemblies in the BHA 100.
The MWD tool 50 may be located close to the drill bit 32 to facilitate the ability to examine the formation as close to the bit as possible. Alternatively, the MWD tool 50 may be located further up the bottomhole assembly 100 from the drill bit 32, without departing from the principles of the present invention. Moreover, the MWD tool 50 may in actuality comprise multiple collar sections if necessary to house other MWD sensors.
In one example embodiment, directional sensors 40 are provided in the logging tool 50, or elsewhere in the bottomhole assembly 100 to provide an indication of inclination of the BHA 100, the azimuth of the BHA, and the tool face angle. For purposes of illustration, the directional sensors 40 are shown in
The MWD tool 50 permits parameters to be monitored downhole during the drilling process to enhance drilling. In one example, imaging tool 200 in BHA 100 may be used to obtain an image of the interior surface of the borehole 20 or the image of the formation properties around the borehole either during drilling, or during the removal of the BHA 100 from the wellbore. While the concept described herein may be applied to non-acoustic methods this embodiment refers, for clarity, to examples using an ultrasonic transducer. Imaging tool 200 may comprise one or more ultrasonic imaging transducers. As used herein, the term acoustic transducer is intended to comprise ultrasonic acoustic transducers. For example, see
In one embodiment, the imaging transducers 205, 215, 225 may be fired simultaneously with a high frequency acoustic signal. Imaging transducers 205, 215, and 225 may be any suitable acoustic transducers, including, for example, acoustic transducers, focused acoustic transducers, dynamically focused acoustic transducers, optical transducers, and electromagnetic transducers. Examples of such transducers are included later in this description.
In one example embodiment, the acoustic frequency may be in the range of 200 kHz-1000 kHz. The received signals may be conditioned to remove noise, and then processed to determine a distance to the borehole wall based upon the time-of-flight of the acoustic signal. In an alternative embodiment, a mechanical caliper transducer in a caliper tool, known in the art, may provide distance measurements to the wall of the borehole. The reflected acoustic waveform may be stored and/or processed to determine the reflected amplitude and phase of the reflected signal relative to the transmitted signal. Such data may be used to obtain additional information regarding the properties of the formation, such as the acoustic impedance of the formation, and the surface roughness and the presence of voids in the borehole wall. In one example, different pulse widths and frequencies may provide data related to the surface roughness. Surface roughness reflections may vary depending on the relative size of the surface feature relative to the wavelength of the signal. In one embodiment, each of the imaging transducers 205, 215, 225 may be activated in the range of about 16 to about 256 times for each revolution of the tool.
In general, the borehole imaging techniques described above assumes that the axis of the tool is stationary in relation to the borehole axis. Downhole measurements, however, offer evidence that the BHA axis experiences substantial radial movement while drilling. Under certain conditions the drill collar can exhibit extreme vibrational movement such as, for example, the bit-whirl situation illustrated in
In one example, the present techniques may be used to correct distance measurements made by an acoustic imaging tool for determining the borehole geometry as a function of depth. The borehole geometry correction establishes a reference point (Xo, Yo) that is fixed in relation to the surrounding formation, at least in a timeframe of several tool revolutions, typically within a timeframe of several seconds. A motion tracking system measures the tool displacement in relation to the reference point (Xo,Yo). As the tool rotates, each measurement of distance to the borehole wall is transformed to the fixed coordinate system and the reference point as described below.
In one example,
The present technique utilizes at least two independent corrections. One correction removes the gravitational component from the acceleration readings that results when the tool is tilted away from the vertical direction. Another correction provides the lateral velocity of the drilling tool relative to a borehole reference frame.
In one example embodiment, a method that corrects both inaccuracies includes the following steps (discussed again in greater detail later):
a
r=(ar1−ar2)/2 the tool acceleration in the direction of ar1;
a
t=(at1−at2)/2 the tool acceleration in the direction of at;
In accordance with the present invention, the signals recorded by the accelerometers are related to other system variables by the following expressions:
where:
ax, ay, and az are the acceleration components of the tool's center of gravity relative to the borehole XYZ reference frame;
φ is the instantaneous phase of the rotating tool (φ=0 when ar1 is aligned with the X axis);
αi is the tool inclination angle in relation to the earth's gravity vector (vertical);
r is the rotational radius of the accelerometer; and
G is the acceleration constant of the earth's gravitational field (≅9.81 m/s2).
G sin(αi)sin(φ) and G sin(αi)cos(φ) are the gravitational components arising from tool tilt away from vertical.
The tool phase φ is:
where ω is the instantaneous angular speed of the tool. From previous equations for ar1, and ar2 the modulus of ω is calculated as
and the angular acceleration is
By tracking both |ω| and dω/dt, ω can be determined.
Employing the above relationships, the method for obtaining lateral tool velocity with correction for the gravitational component and conversion of the velocity relative to a borehole reference frame is now discussed in detail. The method comprises the following.
a
r=(ar1−ar2)/2 the tool acceleration in the direction of ar1;
a
t=(at1−at2)/2 the tool acceleration in the direction of at1;
The magnetic phase readings are used to determine the tool's magnetic phase with respect to the earth's gravitational pull. The direction of the magnetic field in space however, does not directly coincide with the gravitational pull; there is a phase difference (phase shift) of. In most conditions, where the magnetic field disturbance is not strong and the borehole has a relatively constant direction, the phase shift φ0 will be a constant within the time frame of the few seconds necessary to determine the tool velocity. Therefore, in the relationship φ=φm+φ0 a constant φ0 can be reasonably assumed. Knowing Bx and By, the tool's magnetic rotation phase may be obtained using the expressions:
B
x
=B sin(αm)cos(φm)
B
x
=B sin(αm)sin(φm) (5)
where B is the amplitude of the magnetic induction signal, and αm is the angle between the tool's axis and the earth's magnetic field vector.
The tool magnetic phase φm is determined directly from (5) provided that the borehole direction does not coincide with the direction of the B vector such that the noise level of the magnetic measurements is comparable to the signals Bx and By. Knowing Bx and By, the tool's magnetic rotation phase φm may be obtained by using a four quadrant arctangent function the function φ=a tan 2 (By, Bx) common to most mathematical function libraries. The function a tan 2 resolves all four quadrants of the full angle (360 degrees).
If a correction for tool tilt is not desired, then it is unnecessary to determine G sin(αi) in this step. However, it is the usual case to correct for the effect of tool tilt. The following procedure is used in one embodiment to determine G sin(α0) and φi, where G is the acceleration constant of earth's gravitational field (≅9.81 m/s2). The tool magnetic phase φm is known from the previous step. G sin(αi) can be calculated under the assumption that the gravitational component does not contribute to the lateral acceleration of the tool.
As shown in
The signals are then decimated in decimator 1210 and fed into a quadrature detector 1220 known to those skilled in the art. In the quadrature detector both acceleration signals ar and at are multiplied by the sin(φm) and cos(φm). The outputs may be averaged over time (a few seconds in one embodiment) yield two complex numbers c and d, where:
N is the number of signal samples processed during the averaging;
ari and ati are consecutive samples of ar and at, respectively; and φmi are consecutive samples of φm.
Both complex numbers are 90 degrees out of phase since the gravitational component is 90 degrees out of phase in ar and at, respectively. The magnitude of these complex numbers equals to 0.5 G sin(αi) and the phase of c equals to φ0, therefore:
G sin(αi)=2√{square root over (creal2+cimag2)}
φ0=a tan 2(creal,cimag) (6)
Once the phase shift φo is found from step (d), combined with the parameter φm known from the previous step, φ may be calculated according to the relationship:
φ=φm+φ0
The same information can be obtained from the complex number d, remembering that there is a 90° phase shift between c and d. If the magnitude and phase are obtained from both complex outputs, in one example, it can be averaged to decrease uncertainty.
This process yields both the phase shift φo and magnitude of the gravitational component G sin(αi). The time constants of the averaging process can be as long as 30 seconds or more, if the phase information from magnetic sensors is used, since there is no systematic drift between the φm and φ other than changes of the borehole direction or of the magnetic field, which typically are very slow.
To assess the quality of the real-time data, the standard deviation of each measured/calculated quantity may be determined, if possible. If the same information is available from several sources, the one with the lowest standard deviation may be chosen. Based on individual uncertainty estimates, the uncertainty of velocity determination can be calculated and made available to the computer system for storage.
While phase detection is desirably obtained by using magnetometers, this method is not available when the tool longitudinal axis coincides with the magnetic vector. An alternative, although less accurate method of phase determination using the accelerometer signals, is available in accordance with a specific embodiment of the present invention. According to Eq. (2), the gravitational tool phase φ can be calculated as an integral of the instantaneous angular velocity ω which can be determined from Eq. (3) and Eq. (4). It will be appreciated that this approach is sensitive to accelerometer scale error and may suffer from poor resolution of ω at low speeds. Nonetheless, the approach can serve as a backup algorithm in situations where magnetic information is not available.
To obtain lateral accelerations ax and ay, the raw acceleration signals are subtracted so that centrifugal and angular acceleration components cancel out:
The signals above also contain the modulated gravitational component G sin(αi)cos(φ). Since G sin(αi) and φ have been determined in the previous step, the gravitational component can be subtracted from both signals yielding accelerations corrected for gravitational components arg and atg:
a
rg
=a
x cos(φ)−ay sin(φ)
a
tg
=a
x sin(φ)+ay cos(φ) (8)
a
x
=−a
rg cos(φ)+atg sin(φ)
ay=a
rg sin(φ)+atg cos(φ) (9)
Equation (9) may be used to convert the tool acceleration from the (r-t-a) reference frame to the XYZ borehole reference frame. All variables have been previously determined in order to calculate ax and ay. Note also that Eq. (9) may be used when no correction is desired for the gravity effect of tool tilt on the accelerometers, and only a conversion to the borehole frame of reference is desired.
Knowing ax and ay from the previous step, the lateral velocity components vx and vy may be calculated. The lateral velocity calculation is provided in a preferred embodiment as follows:
∫T
∫T
where v0x and voy are unknown initial velocities at arbitrarily chosen time T0. Since the borehole restrains the motion of the tool during any period, the lateral displacement is less than or equal to the slack Δs between the drill collar and the borehole wall.
Since values of ax and ay are known at any point in time, the initial velocities v0x and v0y can be calculated from:
with the uncertainty of the measurement method less than Δs/(d−T0). For example, to achieve an uncertainty of 0.02 m/s in a borehole having a slack of 5 cm, the minimum integrating time should be 2.5 seconds.
After the individual lateral velocity components are extracted, the modulus of the lateral velocity may be calculated as:
v=v
x
2
+v
y
2 (12)
In order to use the velocity calculation as described by equations (10-12) with computer processing, it is desirable to simplify the data processing to minimize the calculations. Thus, assuming a minimum T0 of 2.5 seconds and a sampling frequency of 8 kHz, the number of samples integrated would exceed 20,000. The memory requirement for direct implementation would be substantial. Therefore, in a preferred embodiment, a multiple-window approach is performed, wherein the integrals are calculated over K partially overlapping time windows. The individual samples do not have to be stored, only the integrals and number of samples integrated. When an integrator reaches the preset number of samples, i.e., 2.5 seconds worth of data in a specific embodiment, it becomes the source of velocity information for the system, until the next-in-line integrator reaches the minimum number of samples. Then the first integrator is reset and begins another new integration, while the second integrator provides velocity information. This processing approach tolerates some discontinuity in the velocity signal that is introduced when switching integrators in the Kth increase during processing. However, as simplified using the above approach the calculations are manageable and provide reasonably accurate results. The performance of recursive filters during velocity retrieval may also be tested in a specific embodiment.
Referring to
d
i
=vΔt/2, where Δt is the total transit time.
Using this calculation, the distance di to point B, at tool face φi, see
The transformation of reference points can be accomplished by first transforming the polar coordinate measurement (di, φi) to Cartesian coordinates in coordinate system originating at (Xi,Yi):
x
Bi
=d
i·cos(φi)
y
Bi
=−d
i·sin(φi)
Subsequently origin translation is applied yielding Cartesian coordinates of point B in coordinate system originating at (XoYo):
x
B0i
=x
Bi
+ΔX
i
y
B0i
=y
Bi
+ΔY
i
Where ΔX and ΔY are the translations for X and Y respectively.
ΔXi=Xi−X0
ΔYi=Yi−Y0
Finally, the conversion to polar coordinates is done:
A 4-quadrant resolved arc-tangent calculation may be used in the above equation and the singularity at xB0=0 may be resolved using commonly known techniques known in the art.
In one embodiment, the calculation transformation of the measured data to the reference point, described above, may be programmed as instructions for execution by a controller located downhole and/or at the surface.
In logic box 920, for each tool revolution, also called a scan, the uncorrected distance di is measured at a number of rotational positions i=1 . . . n, where n is the number of samples per revolution. Substantially simultaneously, in logic box 930, the tool position Xi, Yi and toolface φi are calculated using accelerometer and magnetometer measurements.
In logic box 940, a corrected d0i and φ0i are calculated for each i data set, in real time. In logic box 950, corrected data for each revolution scan may be stored in a downhole memory as a function of depth and/or time. Such data may be transmitted to the surface using the MWD telemetry system and assembled into a borehole image log. Alternatively, the corrected data may be retrieved at the surface and assembled into a borehole image log.
While the above process describes downhole processing to calculate corrected data sets, one skilled in the art will appreciate that the raw distance measurements as well as the accelerometer and magnetometer readings may all be stored in downhole memory and processed upon retrieval at the surface.
In one embodiment, the motion correction technique disclosed above may be embodied as a set of instructions on a computer readable medium comprising ROM, RAM, CD, DVD, hard drive, flash memory device, diskette, and any other computer readable medium, now known or unknown, that when executed causes a processor, for example processor 811, to implement a method of the present disclosure. For example, in one illustrative embodiment a computer readable medium contains a set of executable instructions that when executed by processor 811 performs a method for correcting distance measurements from an imaging tool to a borehole wall. The method comprises executing a program such that hardware and software in controller 800 executes a logic sequence as illustrated in boxes 910-950 as described above to generate corrected distance measurements. Alternatively, the instructions on the computer readable medium may be executed at the surface, for example, on surface controller 120.
While described above in reference to acoustic imaging measurements, the motion correction of sensor measurements described above may be applied to other sensor measurements. Measurements that typically require a stable positional reference during the measurement period may be correctible using the present invention. For example, magnetic resonant imaging (MRI) logging tools may require tool motion to be less than 0.1 mm relative to the borehole within a measuring time of 500 μs for accurate measurements. Tool displacements of 0.25 mm may introduce substantial errors in the MRI signal. In addition, such movement may substantially reduce the signal to noise ratio. By correcting the MRI measurements to the reference location, improved MRI imaging may be produced. MRI tools are known in the art and will not be described here in detail. Other parameters of interest amenable to such corrections include, but are not limited to, formation resistivity measurements, including electromagnetic resistivity, and formation nuclear porosity and density measurements.
In logic box 1120, for each tool revolution, also called a scan, the uncorrected parameter of interest Pi is measured at a number of rotational positions i=1 . . . n, where n is the number of samples per revolution. Substantially simultaneously, in logic box 1130, the tool position Xi, Yi and toolface φi are calculated using accelerometer and magnetometer measurements.
In logic box 1140, a corrected P0i and φ0i are calculated for each i data set, in real time. In logic box 1150, corrected data for each revolution scan may be stored in a downhole memory as a function of depth and/or time. Such data may be transmitted to the surface using the MWD telemetry system and assembled into a borehole image log. Alternatively, the corrected data may be retrieved at the surface and assembled into a borehole log.
While the above process describes downhole processing to calculate corrected data sets, one skilled in the art will appreciate that the raw parameter of interest measurements as well as the accelerometer and magnetometer readings may all be stored in downhole memory and processed upon retrieval at the surface.
While the concept described here can be applied to non-acoustic methods this text refers, for clarity, to an ultrasonic transducer. Assuming that the tool position within the borehole is known at any time, the drilling fluid attenuation constant, α, and the drilling fluid sound velocity, v, are needed in order to compensate changes of reflected echo magnitude and phase due to increases in path length caused by tool movement. As used here, the phase refers to the change in phase angle of the reflected signal with respect to the originally transmitted signal. While these fluid acoustic properties may not remain constant during drilling operation, their variations will usually be relatively slow in relation to a measurement cycle. For example, the drilling fluid properties may change in a timeframe of minutes as compared to a measurement timeframe of seconds. Using the natural movement of the tool during drilling operation, combined with statistical data analysis, α and v may be determined and subsequently used to correct the effects of tool motion.
Determination of the fluid acoustic properties depends on the following assumptions being met:
1. Stringing the (φ1,d1, φ0,d0) arrays for each pair of consecutive scans (tool rotations) along with the corresponding signal amplitude and phase (A, Θ). For the purpose of this description these two scans will be identified as T1 and T2, as they occur at different times.
2. Locating data samples in scans T1 and T2 with substantially matching toolface, φ0, which indicates that the imaging transducer is pointing at substantially the same location on the borehole wall, regardless of possible movement of the tool.
3. Compare d1, measurements (distance of the sensor from measurement point B at the time of measurement) of the matched data points. If the magnitude of the measurement distance between consecutive scans d1,T1 and d1,T2 is different by more than a predetermined value Δd, then a two point method may be used to estimate the mud attenuation constant, α, and sound velocity, v, at the operating frequency using the amplitude and phase differences of measurements done at d1,T1 and d1,T2. In one example, the value of Δd may be about 1 mm. Assuming the condition is met, then
where ω is the angular frequency of the transmitted signal and the factor of 2 in the above formulas is related to the path of the reflected sound wave changing by twice the difference in the distance to target B. ΘT1 and ΘT2 denote the phase of the acoustic echo received while AT1 and AT2 are the amplitudes at times T1 and T2 respectively, When estimating velocity, the possibility of phase changes of more than 2*π radians may occur if the tool moves by more than a wavelength of the ultrasonic signal. This situation can be detected and addressed by using the time of flight measurement and Δd along with the last estimate of the velocity. The calculation above also assumes that the portion of the energy reflected off the borehole does not change substantially between measurements. If that condition is not satisfied, then the estimate of a may not be accurate. The uncertainty of mud parameter estimates may increase if the lateral movement of the tool is small. However, in that situation the amount of correction needed is small as well and the errors will not propagate to the final result.
4. Assembling a histogram of distributions of α and v over a period of time (for example 10 minutes). The measurements where essentially the same point on the borehole wall was sampled in consecutive scans, while the distance to borehole changed due to tool motion, will form a major peak in the distribution. However, the measurements that fall on a fracture, or are otherwise distorted, will be scattered. The effectiveness of this method can be enhanced further by applying weights to each measurement based on an uncertainty estimate, for example, by taking into account the amount of displacement between T1 and T2.
5. Determining α and v based on the highest peak in the distribution. A median filter to eliminate outliers and mean of the population may be applied. If the calculated α and v are different from the previously used values, the new α and v may be used in the correction of the d1i measurements in the technique described previously for correcting the image for artifacts related to tool motion.
In logic box 1030, generate histograms of calculated α and of v values for the successive scan pairs. In logic box 1040, determine α and v based on the highest peaks in each histogram. In logic box 1050, if α and v are different from previously used values, use the new values in subsequent calculations of corrected d0. In one embodiment, instructions enabling the determination of α and v, as described above, may be stored in downhole memory 810 for execution by processor 811 in controller 800. The calculated α and v values determined therefrom may be used in calculating corrected measurements downhole. Alternatively, the calculated α and v values may be stored in memory 810 and retrieved at a later time for correction of parameter measurements.
In one embodiment, the calculation technique for α and v disclosed above may be embodied as a set of instructions on a computer readable medium comprising ROM, RAM, CD, DVD, hard drive, flash memory device, diskette, and any other computer readable medium, now known or unknown, that when executed causes a processor, for example processor 811, to implement a method of the present disclosure. For example, in one embodiment a computer readable medium contains a set of executable instructions that when executed by processor 811 performs a method for calculating values of α and v. The method comprises executing a program such that hardware and software in controller 800 executes a logic sequence as illustrated in boxes 1010-1050 as described above to generate α and v measurements to account for changes in drilling fluid properties downhole. Alternatively, the instructions on the computer readable medium may be executed at the surface, for example, on surface controller 120.
In one example, a dynamically focused acoustic transducer 1320, shown in
Each of the rings 1356, 1358 and 1360 shown in
Alternatively, one skilled in the art will appreciate that the functionality of analog components comprising multi-tap delay line 1588, analog select gate 1592, summing amplifier 1598, range select logic 1590 and transmitter driver logic can be implemented using a Digital Signal Processor (DSP) operating on digital samples of the signal acquired with an Analog to Digital Converter.
In one example, the transmitted signal may be a narrow band signal. Using narrow band pulses may reduce spurious resonances and effects of dispersion in the measurement. In one embodiment, the individual rings of
The narrow band burst pulse excitation waveform may be constructed based on the sensor geometry, distance to target and sound velocity as described below:
NPer/F+Tdump+Tdelay,max<(2*d1)/v
E(j)=sin(2*π*F*(T−(Tdelay,max−Tdelay,j))*envelope(T(Tdelay,max−Tdelay,j))
A calculated example of such a narrow band pulse is shown in
D1=0.025 m, distance from sensor center to focal point A in meters,
R1=0 m, sensor ring radius,
R2=0.0 m,
R3=0.013 m,
V=1500 m/sec,
F=350 kHz, operating frequency,
Nper=3,
For the parameters given shown above, the excitation pulse generated is shown in
In this example, the amplitudes of all pulses 1380, 1381, and 1382 have been normalized to the same value. While this is a good starting point for transducers with approximately equal electrode surface area, the amplitude may be adjusted to take into account the acoustic wave attenuation differences. This may further improve the gain of the array.
The spectrum of the generated signal is shown in
In one embodiment, the received acoustic echoes may be processed with a Finite Impulse Response (FIR) filter, known to those skilled in the art. In one example, with the FIR filter may have an impulse response substantially equal to that of the excitation pulses 1380, 1381 and 1382 respectively. In this example, the signal received by the center ring 1356 would be processed by a FIR filter with an impulse response equal to pulse 1382, while the signal from outermost ring 1360 would be processed by a FIR filter with an impulse response equal to pulse 1380. This process may reject out of band noise.
In another example,
Transducer package 2100 generally includes three active piezoelectric elements 2106, 2108 and 2110 having individual backing 2112, 2114 and 2116 respectfully. Element 2106 is completely separated from elements 2108 and 2110 by acoustic isolator 2120 and element 2110 is completely separated from elements 2108 and 2106 by acoustic isolator 2122 as shown in
Active piezoelectric material for sections 2106, 2108 and 2110 are commercially available from a piezoelectric manufacturer. Non-limiting examples of suitable commercially available piezoelectric material include lead metaniobate and lead zirconate titanate.
Backings 2112, 2114 and 2116 may be any suitable material, capable of withstanding downhole temperatures. Preferably, the backing will attenuate acoustic waves from the backing side of the active piezoelectric element so that the reverberation of such waves in such backing is attenuated. Even more preferably, the backings are a material having an acoustic impedance similar to that of the piezoelectric material being used. In one example, the backings are a tungsten loaded epoxy or a tungsten loaded rubber as are known to those skilled in the art.
During assembly of transducer 2100, individual active piezoelectric elements 2106, 2108 and 2110 are bonded to backings 2112, 2114 and 2116, and unpoled piezoelectric wedges are bonded to active elements 2106 and 2110 to form three single units 2150, 2155 and 2160. Elements 2106, 2108 and 2110 are bonded to backings 2112, 2114 and 2116 by a commercial adhesive capable of withstanding downhole temperatures and bonding metal to glass.
Single units 2150, 2155 and 2160 are then tacked together with small bridges made of the epoxy used for potting with the bridges establishing the thickness of isolators 2120 and 2122. When package 2100 is potted with epoxy, the epoxy fills the gaps established by the bridges, forming uniform thickness isolators. The thickness of the epoxy layer being dependent upon and matched to the impedance of the material transmitting through, as is known in the art.
Referring now to
The high frequency (0.4 MHz to 2 MHz) center transducer unit 2155 can detect walls at very short standoffs. For heavy weight muds, however, high frequency signals are attenuated, limiting radial range to about 1 inch. For greater radial distances, the outer transmitter units 2150 and 2160 have stacked piezoelectric elements to generate powerful signals. The outer elements 2106 and 2110 are designed to operate at lower frequencies (100 KHz to 300 KHz) than is the center transducer 2108.
Since the attenuation per wavelength is essentially constant, range increases inversely with transmitter frequency. The long ringdown reverberations of low frequency transducers 2150 and 2160 prevent detecting echoes for approximately the first inch of radial travel. The high frequency element 2155, however, covers the range from 0.3 to 1 inch for all muds. As a receiver, the high frequency element 2155 has flat response throughout the spectral range of the low frequency transducers. Furthermore, in pitch-catch operation, the high frequency receiver 2155 is decoupled from the backing reverberations of the low frequency transmitters 2150 and 2160, giving good signal to noise ratio. For greatest radial range, the broad radiation patterns of the low frequency transducers 2150 and 2160 give strong signals in the center receiver 2155 when both low frequency transmitters 2150 and 2160 are fired simultaneously.
Referring now to
Referring to
Referring now additionally to
Active piezoelectric material for elements 2206, 2208, 2210, 2224 and 2228 are commercially available from a piezoelectric manufacturer. Non-limiting examples of suitable commercially available piezoelectric material include lead metaniobate and lead zirconate titanate.
Backings 2212, 2214, 2216 and 2218 may be any suitable material, capable of withstanding downhole temperatures. Preferably, the backings are a material having an acoustic impedance similar to that of the piezoelectric material being used. In one example, the backings are a tungsten loaded epoxy or a tungsten loaded rubber as are known to those skilled in the art.
During assembly of transducer 2200, individual active piezoelectric elements 2206, 2208 and 2210 are bonded to backings 2212, 2214 and 2216, and unpoled piezoelectric wedges are bonded to active elements 2206 and 2210 to form three single units 2250, 2255 and 2260. Piezoelectric elements 2224 and 2228 or piezoelectric element 2224 and acoustic reflector 2226 are bonded to backing 2218 and tacked to piezoelectric element 2208 with small bridges made of the epoxy used for potting with the bridges establishing the thickness of insulator 2232. Elements 2206, 2208, 2210, 2224 and 2228, when utilized, are bonded to backings 2212, 2214, 2216 and 2218 by a commercial adhesive capable of withstanding downhole temperatures and bonding metal to glass.
Single units 2250, 2255 and 2260 are tacked together with small bridges made of the epoxy used for potting with the bridges establishing the thickness of isolators 2220 and 2222. When package 2200 is potted with epoxy, the epoxy fills the gaps established by the bridges, forming isolators 2220 and 2222 with each insulator being of uniform thickness. The thickness of the epoxy layer being dependent upon and matched to the impedance of the material transmitting through, as is known in the art.
Referring now to
Referring to
As with embodiment 2100 of the present invention, the outer elements 2206 and 2210 are designed to operate at lower frequencies than the center transducer 2208. Preferably, the elements 2206 and 2210 operate in the range of between about 100 KHz and about 300 KHz and elements 2208 and 2224 operate in the range of between about 0.4 MHz and about 2 MHz.
This application claims priority from U.S. Provisional Application 61/032,670 filed on Feb. 29, 2008, which is incorporated herein by reference.
Number | Date | Country | |
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61032670 | Feb 2008 | US |