In the field of petroleum well drilling and logging, resistivity logging tools are frequently used to provide an indication of the electrical resistivity of rock formations surrounding an earth borehole. Such information regarding resistivity is useful in ascertaining the presence or absence of hydrocarbons. A typical resistivity logging tool includes a transmitter antenna and a pair of receiver antennas located at different distances from the transmitter antenna along the axis of the tool. The transmitter antenna is used to create electromagnetic fields in the surrounding formation. In turn, the electromagnetic fields in the formation induce an electrical voltage in each receiver antenna. Due to geometric spreading and absorption by the surrounding earth formation, the induced voltages in the two receiving antennas have different phases and amplitudes. Experiments have shown that the phase difference (Φ) and amplitude ratio (attenuation, A) of the induced voltages in the receiver antennas are indicative of the resistivity of the formation. The depth of investigation (as defined by a radial distance from the tool axis) to which such a resistivity measurement pertains is a function of the frequency of the transmitter and the distance from the transmitter to the mid-point between the two receivers. Thus, one may achieve multiple radial depths of investigation of resistivity either by providing multiple transmitters at different distances from the receiver pair or by operating a single transmitter at multiple frequencies.
Many formations are electrically anisotropic, a property which is generally attributable to extremely fine layering during the sedimentary build-up of the formation. Hence, in a formation coordinate system oriented such that the x-y plane is parallel to the formation layers and the z axis is perpendicular to the formation layers, resistivities Rx and Ry in directions x and y, respectively, are the same, but resistivity Rz, in the z direction is different from Rx and Ry. Thus, the resistivity in a direction parallel to the plane of the formation (i.e., the x-y plane) is known as the horizontal resistivity, Rh, and the resistivity in the direction perpendicular to the plane of the formation (i.e., the z direction) is known as the vertical resistivity, Rv. The index of anisotropy, η, is defined as η=[Rv/Rh]1/2.
The relative dip angle, θ, is the angle between the tool axis and the normal to the plane of the formation. Resistive anisotropy and relative dip angle each have significant effects on resistivity logging tool measurements. As a result, resistivity logging systems should account for formation anisotropy and relative dip if accurate resistivity logs are to be obtained. In U.S. Pat. No. 6,163,155, Michael Bittar discloses one such approach that employs resistivity logging tools having tilted transmitter and/or receiver antennas. Bittar and Hu further disclose certain techniques for processing measurements from such tilted antenna logging tools in related application numbers PCT/US06/62149 and PCT/US07/64221. Improvements to these disclosed approaches have been developed and are presented herein.
A better understanding of the disclosed embodiments can be obtained when the following detailed description is considered in conjunction with the attached drawings, in which:
By way of example, specific system and method embodiments are shown in the drawings and are described in detail below. It should be understood, however, that the drawings and detailed description are not intended to limit the disclosure, but on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the appended claims.
Accordingly various tools, systems, and methods are disclosed for multi-component induction logging with multi-step borehole correction. At least some system embodiments include a logging tool and at least one processor. The logging tool provides transmitter-receiver coupling measurements that include at least direct coupling along the longitudinal tool axis (Czz), direct coupling along the perpendicular axis (Cxx or Cyy), and cross coupling along the longitudinal and perpendicular axes (Cxz, Cyz, Czx, or Czy). The processor performs a multi-step inversion of said transmitter-receiver coupling measurements to obtain values for model parameters (e.g., Rh, Rv, dip, and eccentricity). Based at least in part on the model parameters, the processor determines borehole corrections for the transmitter-receiver coupling measurements and may further provide one or more logs derived from the borehole corrected transmitter-receiver coupling measurements. In at least some embodiments the logging tool assembly further collects borehole size measurements and measurements of borehole fluid resistivity for use in performing the inversion and determining the borehole corrections.
The disclosed tool, systems and methods are best understood in the context of the larger systems in which they operate. Accordingly,
In wells employing acoustic telemetry for LWD, downhole sensors (including resistivity logging tool 126) are coupled to a telemetry module 128 having an acoustic telemetry transmitter that transmits telemetry signals in the form of acoustic vibrations in the tubing wall of drill string 108. An acoustic telemetry receiver array 130 may be coupled to tubing below the top drive 110 to receive transmitted telemetry signals. One or more repeater modules 132 may be optionally provided along the drill string to receive and retransmit the telemetry signals. Of course other telemetry techniques can be employed including mud pulse telemetry, electromagnetic telemetry, and wired drill pipe telemetry. Many telemetry techniques also offer the ability to transfer commands from the surface to the tool, thereby enabling adjustment of the tool's configuration and operating parameters. In some embodiments, the telemetry module 128 also or alternatively stores measurements for later retrieval when the tool returns to the surface.
An resistivity logging tool 126 is integrated into the bottom-hole assembly near the bit 114. The logging tool 126 may take the form of a drill collar, i.e., a thick-walled tubular that provides weight and rigidity to aid the drilling process. As the bit extends the borehole through the formations, logging tool 126 collects multicomponent induction measurements as well as measurements of the tool orientation and position, borehole size, drilling fluid resistivity, and various other drilling conditions.
The orientation measurements may be performed using an orientation indicator, which may include magnetometers, inclinometers, and/or accelerometers, though other sensor types such as gyroscopes may be used. Preferably, the tool includes a 3-axis fluxgate magnetometer and a 3-axis accelerometer. As is known in the art, the combination of those two sensor systems enables the measurement of the rotational (“toolface”) angle, borehole inclination angle (aka “slope”), and compass direction (“azimuth”). In some embodiments, the toolface and borehole inclination angles are calculated from the accelerometer sensor output. The magnetometer sensor outputs are used to calculate the borehole azimuth. With the toolface, the borehole inclination, and the borehole azimuth information, various resistivity logging tools disclosed herein can be used to steer the bit to the desirable bed.
At various times during the drilling process, the drill string 108 is removed from the borehole as shown in
The illustrated tool has receive antennas 304 and 308 oriented parallel to the transmit antenna 302, and receive antennas 306 and 310 oriented perpendicular to the transmit antenna. In the illustrated example, each of the antennas share a common rotational orientation, with antennas 302, 304, 308 being tilted at −45° and antennas 306, 310 being tilted at +45° relative to the longitudinal tool axis. In the illustrative tool embodiments, each of the coil antennas surrounding the tool is mounted in a recess and protected by a non-conductive filler material and/or a shield having non-conducting apertures. The tool body is primarily composed of steel. The relative tool dimensions and antenna spacings are subject to a great deal of variation depending on the desired tool properties. The distance between the receive coil pairs may be on the order of 0.25 m, while the spacing of the transmit coil to the midpoint between the receiver pairs may vary from about 0.4 m to over 10 m.
As disclosed in U.S. patent application Ser. No. 12/294,557 “Antenna Coupling Component Measurement Tool . . . ” filed Sep. 25, 2008 by inventors Michael Bittar and David Hu, the measurements taken by a tool of this kind as it rotates enable a full set of orthogonal coupling component measurements to be obtained at each point along the borehole axis. The orthogonal coupling component measurements correspond to the tool model shown in
h=Cm (1)
In express form, equation (1) is:
where MX, MY, and MZ are the magnetic moments (proportional to transmit signal strength) created by transmitters TX, TY and TZ, respectively. HX, HY, HZ are the magnetic fields (proportional to receive signal strength) at the receiver antennas RX, RY, and RZ, respectively.
In the antenna configuration of
Referring momentarily back to
In addition to the tool coordinate system and the formation coordinate system, a third coordinate system is employed herein. The borehole coordinate system has a z-axis that follows the central axis of the borehole. The x-axis of the borehole extends perpendicularly from the central axis through the high side of the borehole. (In a vertical borehole, the x-axis extends through the north side of the borehole.) The y-axis extends perpendicular to the other two axes in accordance with the right-hand rule.
The z-axis of the tool coordinate system coincides with the z-axis of the borehole coordinate system. As indicated in
Treating
The eccentricity azimuth ϕecc can be solved independently of other model parameters by a coordinate rotation. Accordingly, the process in
Equations (3a) and (3b) are suitable for use in a vertical well, whereas equation (3c) should be used for non-vertical wells.
In block 902, the system set initial estimates for the remaining unknown model parameters. The estimates can be set randomly, or may be guesses based on previous inversion solutions. Other alternatives include having typical “average” parameter values pre-programmed into the software. Given the initial estimates, the system in block 904 determines the expected tool measurement for the Czz component. (This predicted tool measurement is hereafter represented as Pzz to distinguish it from the actual tool measurement Czz.) A whole vector of Pzz values can be determined along the length of the borehole for comparison with the actual tool measurements. In block 906 the system determines whether the optimum value for Rh has been found, and if not, the estimate for Rh is adjusted in block 908 and the loop is repeated. In at least some embodiments, the system repeats the loop as necessary to find the value of Rh (within a given range of realistic values) that minimizes the error
ε=∥
where Wzz is a vector of weights that de-emphasizes measurements near the upper and lower ends of the logged interval. In other embodiments, the system repeats the loop as necessary to obtain an error value below a predetermined threshold.
Once the horizontal resistivity has been found, the system uses it in combination with the other estimated parameters to determine a predicted tool measurement for Cxx in block 910. (The predicted measurement is hereafter represented as Pxx.) In block 912, the system determines whether the optimum value for Rv has been found, and if not, the estimate for Rv is adjusted in block 914. As before, the system may repeat the loop as necessary to find a realistic value of Rv that minimizes the error
ε=∥
or at least drops the error below a predetermined threshold value.
Once both the horizontal and vertical resistivities have been found, the system uses them in combination with the other estimated parameters to determine a predicted tool measurement for Cxz in block 916. (The predicted measurement is hereafter represented as Pxz.) In block 918, the system determines whether an optimum value for decc has been found, and if not, the system adjusts the estimate for decc in block 920. As before the system repeats the loop as necessary to find a realistic value that minimizes the error
ε=∥
or at least drops it below a predetermined threshold value. The updates in each of blocks 908, 914, 920 can be done systematically (e.g., for an exhaustive search) or adaptively (e.g., in a Newton-Raphson search for a minimum value). The determinations of predicted values in each of blocks 904, 910, and 916 can be done in a number of ways including a pre-programmed simulation. In at least some embodiments, a look-up table is used to expedite the process. The table comprises pre-calculated tool responses at each of multiple grid points in the space of realistic parameter values. A fast high-dimensional spline interpolation method can be used to determine predicted responses between grid points. The Cyy component can be used in addition or as an alternative to the Cxx component in blocks 910-914, and the Czx component can be used in addition or as an alternative to the Cxz component in blocks 916-920.
Accordingly, the process in
For comparison with the borehole-corrected responses, multicomponent induction logs without a borehole have also been calculated using an electromagnetic semi-analytical solution for one-dimensional layered anisotropic media. In all forward computations point dipoles are used to model the tool's finite-sized coils.
Thus the disclosed real-time borehole correction system for processing multi-component induction logging data is expected to perform well. The inversion algorithm is implemented by splitting the original inversion problem of one high-dimension unknown vector into a few lower-dimension ones based on their sensitivity of different model parameters to different components of the measured conductivity tensor for different sub-arrays. Numerical tests show this dimensionality reduction makes the complicated BHC inversion overall easier, more reliable and robust. Because the 3D MCI simulation is very time-consuming, the forward modeling used in the inversion is based on the pre-calculated look-up table on a grid covering all feasible ranges of borehole-formation model parameters. This makes the BHC inversion very fast and the whole BHC processing applicable in real time or well site manner.
The present application claims priority to Provisional U.S. Pat. App. No. 61/319,291, titled “Multi-Step Borehole Correction Scheme for Multi-Component Induction Tools” and filed Mar. 31, 2010 by inventors Junsheng Hou and Michael Bittar. This application is hereby incorporated herein by reference.
Number | Name | Date | Kind |
---|---|---|---|
4980643 | Gianzero et al. | Dec 1990 | A |
5389881 | Bittar et al. | Feb 1995 | A |
5511037 | Randall | Apr 1996 | A |
5869968 | Brooks et al. | Feb 1999 | A |
5999883 | Gupta et al. | Dec 1999 | A |
6163155 | Bittar | Dec 2000 | A |
6191586 | Bittar | Feb 2001 | B1 |
6218842 | Bittar | Apr 2001 | B1 |
6295512 | Bryant | Sep 2001 | B1 |
6353321 | Bittar | Mar 2002 | B1 |
6359438 | Bittar | Mar 2002 | B1 |
6393364 | Gao et al. | May 2002 | B1 |
6476609 | Bittar | Nov 2002 | B1 |
6538447 | Bittar | Mar 2003 | B2 |
6556015 | Omeragic et al. | Apr 2003 | B1 |
6591194 | Yu et al. | Jul 2003 | B1 |
6618676 | Krieghauser et al. | Sep 2003 | B2 |
6624634 | Rosthal et al. | Sep 2003 | B2 |
6693430 | Rosthal et al. | Feb 2004 | B2 |
6725162 | Edwards | Apr 2004 | B2 |
6810331 | Bittar et al. | Oct 2004 | B2 |
6819112 | Gianzero et al. | Nov 2004 | B2 |
6885943 | Bittar et al. | Apr 2005 | B2 |
6911824 | Bittar | Jun 2005 | B2 |
6944546 | Xiao et al. | Sep 2005 | B2 |
7019528 | Bittar | Mar 2006 | B2 |
7046010 | Hu et al. | May 2006 | B2 |
7076370 | Freedman et al. | Jul 2006 | B1 |
7098664 | Bittar et al. | Aug 2006 | B2 |
7098858 | Bittar et al. | Aug 2006 | B2 |
7138803 | Bittar | Nov 2006 | B2 |
7138897 | Minerbo et al. | Nov 2006 | B2 |
7227363 | Gianzero et al. | Jun 2007 | B2 |
7265552 | Bittar | Sep 2007 | B2 |
7345487 | Bittar et al. | Mar 2008 | B2 |
7386430 | Barber et al. | Jun 2008 | B2 |
7427863 | Bittar | Sep 2008 | B2 |
7557579 | Bittar | Jul 2009 | B2 |
7557580 | Bittar | Jul 2009 | B2 |
7629791 | Bespalov et al. | Dec 2009 | B2 |
7659722 | Bittar | Feb 2010 | B2 |
7746078 | Bittar et al. | Jun 2010 | B2 |
7778778 | Bespalov et al. | Aug 2010 | B2 |
7839148 | Vehra et al. | Nov 2010 | B2 |
7839346 | Bittar et al. | Nov 2010 | B2 |
7948238 | Bittar | May 2011 | B2 |
7982464 | Bittar et al. | Jul 2011 | B2 |
8030937 | Hu et al. | Oct 2011 | B2 |
8085049 | Bittar et al. | Dec 2011 | B2 |
8085050 | Bittar et al. | Dec 2011 | B2 |
8174265 | Bittar et al. | May 2012 | B2 |
8200437 | Davydycheva et al. | Jun 2012 | B2 |
8222902 | Bittar et al. | Jul 2012 | B2 |
8264228 | Bittar et al. | Sep 2012 | B2 |
8274289 | Bittar et al. | Sep 2012 | B2 |
8347985 | Bittar et al. | Jan 2013 | B2 |
8571797 | Wu et al. | Oct 2013 | B2 |
8636061 | Mosse et al. | Jan 2014 | B2 |
8749243 | Bittar et al. | Jun 2014 | B2 |
8917094 | Bittar et al. | Dec 2014 | B2 |
9364905 | Hou et al. | Jun 2016 | B2 |
20050024060 | Bittar | Feb 2005 | A1 |
20050256642 | Barber | Nov 2005 | A1 |
20070075455 | Marini et al. | Apr 2007 | A1 |
20070235225 | Bittar | Oct 2007 | A1 |
20080033654 | Bespalov et al. | Feb 2008 | A1 |
20100082255 | Davydycheva | Apr 2010 | A1 |
20100156424 | Bittar et al. | Jun 2010 | A1 |
20100198569 | Wu et al. | Aug 2010 | A1 |
20100262370 | Bittar et al. | Oct 2010 | A1 |
20100277176 | Homan | Nov 2010 | A1 |
20100284250 | Cornish et al. | Nov 2010 | A1 |
20110006773 | Bittar | Jan 2011 | A1 |
20110161009 | Wang | Jun 2011 | A1 |
20110175899 | Bittar et al. | Jul 2011 | A1 |
20110180327 | Bittar et al. | Jul 2011 | A1 |
20110186290 | Roddy et al. | Aug 2011 | A1 |
20110187556 | Roddy et al. | Aug 2011 | A1 |
20110192592 | Roddy et al. | Aug 2011 | A1 |
20110199088 | Bittar | Aug 2011 | A1 |
20110199228 | Roddy et al. | Aug 2011 | A1 |
20110204897 | Hu et al. | Aug 2011 | A1 |
20110221443 | Bittar et al. | Sep 2011 | A1 |
20110234230 | Bittar et al. | Sep 2011 | A1 |
20110251794 | Bittar et al. | Oct 2011 | A1 |
20110298461 | Bittar et al. | Dec 2011 | A1 |
20110308859 | Bittar et al. | Dec 2011 | A1 |
20120001637 | Bittar et al. | Jan 2012 | A1 |
20120024600 | Bittar et al. | Feb 2012 | A1 |
20120133367 | Bittar et al. | May 2012 | A1 |
20120186873 | Shayegi et al. | Jul 2012 | A1 |
20120199394 | Bittar et al. | Aug 2012 | A1 |
20120234605 | Donderici et al. | Sep 2012 | A1 |
20120249149 | Bittar et al. | Oct 2012 | A1 |
20130073206 | Hou et al. | Mar 2013 | A1 |
20140324353 | Hou et al. | Oct 2014 | A1 |
Number | Date | Country |
---|---|---|
1315984 | Jan 2011 | EP |
1155343 | Mar 2011 | EP |
2510385 | Oct 2012 | EP |
2 379 989 | Mar 2003 | GB |
2007149106 | Dec 2007 | WO |
2008008386 | Jan 2008 | WO |
2008021868 | Feb 2008 | WO |
2008076130 | Jun 2008 | WO |
2008115229 | Sep 2008 | WO |
2009091408 | Jul 2009 | WO |
2011012379 | Feb 2011 | WO |
2011123379 | Oct 2011 | WO |
2011129828 | Oct 2011 | WO |
2012005737 | Jan 2012 | WO |
2012008965 | Jan 2012 | WO |
2012064342 | May 2012 | WO |
2013025222 | Feb 2013 | WO |
2013066297 | May 2013 | WO |
Entry |
---|
GCC Examination Report, dated Apr. 17, 2016, Appl No. GC 2012-2243, “Multi-Component Induction Logging Systems and Methods Using Real-Time OBM Borehole Correction, ” filed Sep. 12, 2012, 8 pgs. |
MX Second Office Action, dated May 20, 2016, Appl No. MX/a/2014/004876, “Multi-Component Induction Logging Systems and Methods Using Real-Time OBM Borehole Correction, ” filed Oct. 31, 2011, 2 pgs. |
U.S. Non-Final Office Action, dated Dec. 22, 2016, U.S. Appl. No. 14/355,289, “Multi-Component Induction Logging Systems and Methods Using Real-Time OBM Borehole Correction,” filed Apr. 30, 2014, 20 pgs. |
Au Patent Examination Report No. 1, dated Mar. 13, 2015, Appl No. 2011380527,“Multi-Component Induction Logging Systems and Methods Using Real-Time OBM Borehole Correction”, filed Oct. 31, 2011, 2 pgs. |
CA Notification of Requisition by Examiner, dated May 5, 2014, Appl. No. 2,786,913, “Multi-Step Borehole Correction Scheme for Multi-Component Induction Tools,” filed Mar. 28, 2011, 3 pgs. |
EPO Supplementary Search Report, dated Jun. 26, 2015, Appl No. 11875150.2, “Multi-Component Induction Logging Systems and Methods Using Real-Time OBM Borehole Correction,” filed Oct. 31, 2011, 8 pgs. |
PCT International Preliminary Report on Patentability, dated Jan. 29, 2014, Appl No. PCT/US11/58619, “Multi-Component Induction Logging Systems and Methods Using Real-Time OBM Borehole Correction,” filed Oct. 31, 2011, 12 pgs. |
PCT International Preliminary Report on Patentability, dated Oct. 11, 2012, Application No. PCT/US2011/030145, “Multi-Step Borehole Correction Scheme for Multi-Component Induction Tools”, filed Mar. 28, 2011, 6 pgs. |
PCT International Search Report and Written Opinion, dated Mar. 16, 2012, Appl No. PCT/US2011/058619, “Multi-Component Induction Logging Systems and Methods Using Real-Time OBM Borehole Correction”, filed Oct. 31, 2011, 7 pgs. |
PCT International Search Report and Written Opinion, dated Jun. 1, 2011, Application No. PCT/US11/30145, “Multi-Step Borehole Correction Scheme for Multi-Component Induction Tools”, filed Mar. 28, 2011, 8 pgs. |
U.S. Non-Final Office Action, dated Jun. 16, 2015, U.S. Appl. No. 13/521,756, “Multi-Step Borehole Correction Scheme for Multi-Component Induction Tools,” filed Jul. 12, 2012, 19 pgs. |
Hou, Junsheng et al., “Fast Finite-Difference Simulation of 3D Borehole EM Fields Using Scattered Potentials”, SEG International Exposition and Annual Meeting, 2009,, 436-440. |
Hou, Junsheng et al., “New Scattered Potential Finite-Difference Method with Anisotropic Background to Simulate Multicomponent Induction Logs”, PIERS, 2011, 12 pgs., Suzhou, China. |
Moorkamp, Max et al., “A framework for 3D joint inversion of MT, gravity and seismic refraction data”, Geophys. J. Int. (2011) 184 (1): 477-493. doi: 10.1111/j.1365-246X.2010.04856.x, Sep. 27, 2010, 34 pgs. |
Moran, J. H. et al., “Effects of Formation Anisotropy of Resistivity-Logging Measurements”, Geophysics, vol. 44, No. 7, (Jul. 1979), p. 1266-1286, 21 Figs., 4 Tables. |
Sun, X. et al., “Analysis and Correction of Borehole Effect on the Responses of Multicomponent Induction Logging Tools”, Progress in Electromagnetics Research, PIER 85, URL <http://www.jpier.org/PIER/pier85/11.08072206.pdf>, 2008, pp. 211-226. |
Wang, Hanming et al., “Triaxial Induction Logging: Theory, Modeling, Inversion, and Interpretation” Society of Petroleum Engineers International Oil & Gas Conference and Exhibition; SPE 103897-MS; Beijing, China, Dec. 2006, 19 pgs. |
Wu, P. et al., “Borehole Effects and Cprrection in OBM With Dip and Anisotrophy for Triaxial Induction Tools”, Society of Petroleum Engineers Annual Technical Conference and Exhibition; SPE 110623-MS; Anaheim, CA, U.S.A, Nov. 2007, 20 pgs. |
Zhong, Lili et al., “Simulation of Tri-Axial Induction Logging Tools in Layered Anisotropic Dipping Formations”, SEG 2006 Annual Meeting, p. 456-460, New Orleans, Louisiana. |
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20160274263 A1 | Sep 2016 | US |
Number | Date | Country | |
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61319291 | Mar 2010 | US |
Number | Date | Country | |
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Parent | 13521756 | US | |
Child | 15169423 | US |