The invention relates generally to subsurface drilling operations and particularly to techniques for predicting pore pressures ahead of a drill bit while drilling a borehole through subsurface formations.
A column of drilling fluid, usually referred to as “mud,” is customarily provided in a borehole while drilling the borehole through subsurface formations. Usually, the weight of the mud is carefully selected such that the hydrostatic pressure gradient in at least the uncased section of the borehole is above the pore pressure gradient and below the fracture pressure gradient in the surrounding subsurface formations. If hydrostatic pressure gradient is lower than pore pressure gradient, a kick or blowout may occur. If hydrostatic pressure gradient is higher than fracture pressure gradient, lost circulation may occur. Fracture pressure typically increases rapidly with depth so that maintaining hydrostatic pressure gradient below fracture pressure gradient after drilling an initial section of the borehole is usually less of a problem. Pore pressure on the other hand generally follows a less predictable pattern. To avoid drilling hazards, it is desirable to know the pore pressure gradient ahead of the drill bit so that the mud weight needed to provide the desired hydrostatic pressure gradient in the borehole can be determined prior to drilling an interval ahead of the drill bit.
Methods are known in the art for predicting pore pressures ahead of a drill bit using well log data and/or seismic survey data. One common method of predicting pore pressures ahead of a drill bit using well log data involves determining a normal compaction curve from a well log, e.g., a sonic log, in combination with an appropriate geological model. The normal compaction curve corresponds to the increase in formation density that would be expected as a function of depth assuming absence of abnormal pressure. During drilling, a logging-while-drilling (LWD) sonic log is obtained and compared to the normal compaction curve. A consistent slowing trend of the LWD sonic log away from the normal compaction curve is used as a likely indicator of increased pore pressures ahead of the drill bit. This expected increase in pore pressures can be estimated from the amount of departure of the LWD sonic log from the normal compaction curve. The accuracy of this method largely depends on the accuracy of the well log data used in generating the normal compaction curve. Since this method relies on well logs, the well has to be drilled into the over-pressured zone for it to be detected.
U.S. Pat. No. 5,130,949 (issued to Kan et al.) discloses a method of predicting pore pressures ahead of a drill bit using well log data and surface seismic data. The method involves using well log data to estimate a shale fraction for a subsurface formation as a function of depth and the derivation of a shale compaction trend as a function of depth at intervals where the estimated shale fraction exceeds a threshold. A translation curve expressing pore pressure gradient as a function of sonic interval transit time departure from the shale compaction trend is also derived using the well log data. Seismic observations are performed along a surface line, and interval transit times as a function of depth along the surface line are estimated from the seismic observations. The departures of the seismic interval transit times from the shale compaction trend as a function of depth for points along the surface line are computed. The departures are translated into pore pressure gradient predictions using the translation curve. The patent suggests improving pore pressure predictions in deviated wells by adjusting interval transit time data for the shallower portion using check-shot data and applying the adjustments to an entire seismic section to obtain better depth.
U.S. Pat. No. 5,144,589 (issued to Hardage) discloses a method of estimating pore pressures ahead of a drill bit using drill-noise seismic. During drilling, the noise of the drill bit as it impacts the earth is used as a seismic source. Some seismic signals propagate directly from the drill bit to the surface. Some seismic signals propagate downwardly and are reflected back to the surface. The direct signals are used to determine interval velocity for each formation through which the drill bit has drilled, and the interval velocity is continuously updated as the drill bit penetrates the earth. The reflected signals are used to determine acoustic impedance for each formation ahead of the drill bit. The interval velocity data and acoustic impedance information are combined to produce a log-like impedance estimation curve, which reflects the pore pressures ahead of the drill bit. In particular, the low frequency velocity trend immediately above the drill bit is extrapolated to produce the low frequency velocity behavior for a short distance, e.g., 100 to 500 feet, below the drill bit. This low frequency behavior is then used to correct the acoustic impedance data for the formation ahead of the drill bit. Drill-noise seismic is generally inefficient in soft sediment, highly deviated boreholes, and while drilling with certain types of bits, such as polycrystalline diamond compact bits. Furthermore, estimation of acoustic impedance ahead of the bit from reflection data rarely works and is not reliable.
A new technique called seismic measurements-while-drilling (SMWD) has been applied to pore-pressure prediction ahead of a drill bit. In one implementation, a pore-pressure map is generated using surface seismic data. To obtain the map, velocities are estimated from pre-stack surface seismic data, and a velocity-to-pore-pressure transform appropriate for the area is used to convert the velocities to pore pressures. The pore-pressure map has the coordinates of the seismic shot position (horizontally) and seismic travel time (vertically). During drilling, SMWD is used to deliver real-time check-shot data. The check-shot data includes travel times of seismic waves generated at the surface as a function of depth. The check-shot data are used to place the drill bit on the pore pressure map, thereby allowing the pore pressures ahead of the drill bit to be determined. The accuracy of this method depends on the accuracy of the pore-pressure map predicted from the surface seismic data. In general, the accuracy of the pore-pressure map predicted in this manner decreases as depth increases because the velocities estimated from the surface seismic data become less accurate with increasing depth.
Thus a need remains for more robust techniques for estimating pore pressures ahead of a drill bit.
The invention provides a method of estimating velocity ahead of a drill bit which comprises generating seismic waves at a surface from at least two different source positions in the vicinity of a borehole, receiving seismic waves reflected from a reflector ahead of the drill bit at one or more locations in the borehole, determining travel times of the seismic waves received at the one or more locations in the borehole, and inverting the travel times to determine a velocity of a formation ahead of the drill bit. In one embodiment, the method further comprises transforming the velocity into pore pressure of the formation.
In another aspect, the invention provides a system for estimating velocity ahead of a drill bit which comprises at least one seismic source on a surface for generating seismic waves from at least two different source positions in the vicinity of a borehole and at least one seismic receiver in the borehole for detecting seismic waves reflected from a reflector ahead of the drill bit. The system further includes a measurements-while-drilling telemetry system for transmitting data from the seismic receiver to the surface and at least one processor comprising instructions for determining velocities ahead of the drill bit using travel times of seismic waves reflected from the reflector. In one embodiment, the processor further comprises instructions for converting velocities to pore pressures ahead of the drill bit.
In another aspect, the invention provides a method of estimating pore pressure ahead of a drill bit which comprises obtaining surface seismic survey data for a region of interest. During drilling of a borehole through the region, the method further includes determining a travel time of a seismic wave generated from a surface of the region to a location in the borehole when the drill bit is at selected depths in the borehole. The method further includes determining a velocity from the travel time and the selected depths, inverting the surface seismic survey data to determine a velocity ahead of the drill bit while constraining velocity between the surface and the drill bit to be consistent with the velocity determined from the travel time. In one embodiment, the method further comprises transforming the velocity ahead of the drill bit into pore pressure of a formation ahead of the drill bit.
Other features and advantages of the invention will be apparent from the following description and the appended claims.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the invention. It will be apparent, however, to one skilled in the art that the invention may be practiced without some or all of these specific details. In other instances, well-known features and/or process steps have been described in brief detail for clarity of the invention.
In step 100, the seismic waves could be generated by a single seismic source that is offset from the borehole in a predetermined manner. Alternately, multiple seismic sources could be used to generate the seismic waves at the multiple offset positions. The offset positions at which the seismic waves are generated relative to the borehole can range from zero to a maximum value. Typically, the maximum offset is not greater than half of the depth of the drill bit. In general, the maximum offset depends on the depth of the drill bit, the depth of the target reflector, and general velocity trends. The number of offset positions needed depends on the assumed velocity model of the zone between the drill bit and the reflector. For a simplistic two-velocity model, two offset positions, e.g., one at the borehole and the other at the maximum offset, are the minimum required. In practice, more offset positions may be required to combat noise and uncertainties in anisotropy and to account for complicated velocity models.
H, B, and Vo are known, and R and Vp are unknown. Vo can be obtained from a combination of pre-drill information, well-log data, LWD logs, and real-time check-shot data. Because there are two unknowns, at least two reflection events, producing two reflected-wave travel times, are needed to determine R and Vp. Two reflection events can be obtained by generating two seismic waves 218, 220 at two offset positions at the surface 206 and measuring the travel time of the ensuing reflected waves 222, 224, respectively. The solutions would most likely be found using numerical techniques. Therefore, the more the travel time data available, the better the results can be.
A more complicated velocity model can be used to improve the accuracy of the method described above. For example, the subsurface formations 200 can be treated as consisting of several horizontal layers instead of just two layers. In this case, a series of velocities would be defined for the section between the surface 206 and depth of the drill bit 208. The velocities of the horizontal layers in this section could be obtained from real-time check-shot data and/or well log data, e.g., sonic logs. The real-time check-shot data is obtained by generating seismic waves at the surface. The seismic waves are generated in the vicinity of the borehole for selected bit depths, usually corresponding to depths at which drill pipe connections are made. The seismic waves (direct arrivals) are detected downhole by one or more seismic receivers on a drill string. The detected waveforms or the first arrival times of the detected waveforms are then sent to the surface via measurements-while-drilling (MWD) telemetry when mud circulation resumes. Real-time check-shot data collected for two different bit depths can be used to compute the interval velocity between the two bit depths.
The section between the drill bit 208 and the target reflector 212 may be modeled as one effective layer having an average velocity or may be represented by a parameterized curve that allows for some smooth variation in velocity with depth. In this case, the reflected-wave travel time could be computed by a ray tracing algorithm, and the unknown parameters, i.e., distance of drill bit to reflector and velocities ahead of drill bit, can be estimated by fitting the computed reflected-wave travel times to the measured reflected-wave travel times, for example, using least-squares technique.
In one embodiment, the zone 318 includes a strong reflector 320 or is located between the drill bit 312 and a strong reflector 320. The drill string 306 includes a downhole tool 322, which includes one or more seismic receivers 324 that can detect seismic waves reflected off the reflector 320 as well as other seismic waves propagating in the subsurface formations 314. The seismic waves reflected off the reflector 320 are generated by one or more seismic sources 326 on the surface 304. The seismic sources 326 are offset from the borehole 308, where the offset value can range from zero to a maximum value depending on the depth of the drill bit 312, the depth of the reflector 320, and general velocity trends. The number of seismic sources 326 or offset positions would depend on the assumed velocity model of the zone between the drill bit 312 and the reflector 320. It should be noted that one or more seismic sources may be moved between the various offset positions, i.e., it is not necessary to have a seismic source per offset position.
Also, it is not necessary to have the drill bit 312 in the same depth position for various offset positions of the source. The drill bit 312, and the seismic receivers 324, can be anywhere above the look-ahead zone 318 for different offset positions as long as they can detect the reflected events from horizon 320. In this case, numerical ray tracing algorithms can be used to compute travel times of reflected events. The unknown velocities ahead of the bit can be estimated by fitting the computed reflected wave travel times to the measured reflected wave travel times. For example, this can be accomplished using least squares techniques. This may be important in practice since one or several sources can be moved between offset positions as the drilling proceeds above zone 318.
Returning to
In one embodiment, when mud circulation resumes, the detected waveforms stored in memory (338 in
In another embodiment, instead of sending the detected waveforms to the surface for processing, the processor (336 in
Once the arrival times of the reflected waves are known, the travel times of the reflected waves can be determined and used to compute the velocities ahead of the drill bit. The velocities can then be transformed into pore pressures ahead of the drill bit. In operation, the clock (332 in
As well known in the art, the surface seismic data can be used to estimate velocities of the subsurface formations (see, for example, Ozdogan Yilmaz, “Seismic Data Processing,” Society of Exploration Geophysics, 1987). These estimated velocities are typically known as pre-drill velocities because the surface seismic data are usually obtained prior to actually drilling the borehole. A pore-pressure map can be generated using these pre-drill velocities, allowing pore pressures ahead of the drill bit to be determined as the borehole is drilled. However, the accuracy of the pre-drill velocities decrease with increasing depth, leading to less accurate pore-pressure prediction with increasing depth. To improve accuracy of pore-pressure predictions made from pre-drill velocities, the inventors propose updating the surface seismic data with real-time check-shot survey data. With real-time check-shot survey data, accurate measurements of velocities from the surface to specific depths in the borehole, between the surface and the drill bit, can be obtained. These accurate velocities can then be used in place of the pre-drill velocities in the section from the surface to the drill bit while predicting pore pressures ahead of the drill bit.
From the foregoing, the method further includes conducting check-shot surveys as the borehole is drilled and delivering the check-shot information to the surface in real-time (402). A check-shot survey involves firing a seismic source at the surface, near the opening of the borehole. The seismic wave generated travels down the subsurface formations and is detected and recorded by a receiver in the borehole. This is done when the receiver, which is typically placed on the drill string, is located at the depth of interest. The drill string may include a downhole tool that can process the recorded wave to determine the arrival time of the wave at the receiver location. Alternatively, processing can be done at the surface. Either the recorded waveform or the picked arrival time is sent to the surface via MWD telemetry. To reduce noise in the data, it is preferable to temporarily stop drilling while making the check-shot survey. The waveform or arrival time can then be transmitted to the surface when drilling resumes. To avoid lost drilling time, it is preferable to make check-shot measurements during pipe connections. The travel time of the seismic wave from the seismic source to the receiver can be determined from the arrival time. The travel time can then be used to calculate average velocity of the subsurface formations above the drill bit. Sometimes, it is convenient and accurate to subdivide the subsurface formations into a series of intervals. In this case, a series of travel times acquired in the manner described above can be used to calculate the average velocity for each interval.
The next step is to re-invert the surface seismic data using the check-shot data to obtain improved velocities ahead of the drill bit (404).
Assuming that Snell's law can be ignored (i.e., using straight ray paths), then using the model described above, the travel time observed by a source-receiver pair on the surface can be expressed as:
where H is the offset distance between the source and the receiver, B is the bit depth, Vo is the average velocity from the surface to the bit depth, R is the distance from the drill bit to the reflector, and Vp is the average velocity in the zone between the drill bit and the reflector. H and B are known. T can be obtained for various values from the surface seismic data. Returning to
Once the velocity ahead of the drill bit (Vp) is known, the pore pressure ahead of the drill bit can be determined using any suitable velocity-to-pore-pressure relation, e.g., Hottman-Johnson relation, (406). To improve the accuracy of the pore-prediction method, a velocity model that is more complicated than the one described above can be used. For example, instead of treating the subsurface formations as a two-layer system, the subsurface formations could be divided into several horizontal layers, each layer having its own associated average or interval velocity. The interval velocities for the layers between the surface and the drill bit can be obtained from the real-time check-shot data. This allows variations in the velocities above the drill bit to be accounted for while determining the velocities ahead of the drill bit. The section between the drill bit and the reflector may be modeled as one effective layer having an average velocity or may be represented by a parameterized curve that allows for some variation with depth.
It will be apparent to those skilled in the art that this invention may be implemented by programming one or more suitable general-purpose computers having appropriate hardware. The programming may be accomplished through the use of one or more program storage devices readable by the computer processor and encoding one or more programs of instructions executable by the computer for performing the operations described above. The program storage device may take the form of, e.g., one or more floppy disks; a CD ROM or other optical disk; a magnetic tape; a read-only memory chip (ROM); and other forms of the kind well known in the art or subsequently developed. The program of instructions may be “object code,” i.e., in binary form that is executable more-or-less directly by the computer; in “source code” that requires compilation or interpretation before execution; or in some intermediate form such as partially compiled code. The precise forms of the program storage device and of the encoding of instructions are immaterial here. Thus these processing means may be implemented in the surface equipment, in the tool, or shared by the two as known in the art.
The invention provides several advantages over conventional techniques. The method of predicting pore pressures ahead of a drill bit is based on getting look-ahead velocities in near real-time and relating these to look-ahead pore pressures by known transforms. The method is superior to techniques using only surface seismic velocities because it incorporates accurate real-time measurements of velocities measured above the drill bit to increase the accuracy of estimated velocities ahead of the drill bit. Velocities from surface seismic alone degrade, i.e., become less accurate as depth increases. Further, methods that invert impedance profiles ahead of the drill bit are known to have limited success. One reason is that reflection data is a good measure of sharp impedance variations ahead of the drill but, but it does not contain “slow” impedance variations. Reflection data does not give the “velocity” itself ahead of the bit, instead it gives “change in velocity” or the derivative of the velocity. Therefore, one needs to “assume” the velocity trends ahead of the bit to use these techniques. The present invention, on the other hand, uses the actual measured velocities ahead of the bit.
While the invention has been described with respect to a limited number of embodiments, those skilled in the art, having benefit of this disclosure, will appreciate that other embodiments can be devised which do not depart from the scope of the invention as disclosed herein. For the purposes of this specification it will be clearly understood that the word “comprising” means “including but not limited to”, and that the word “comprises” has a corresponding meaning.
Number | Name | Date | Kind |
---|---|---|---|
4207619 | Klaveness | Jun 1980 | A |
4363112 | Widrow | Dec 1982 | A |
4592031 | Bradshaw et al. | May 1986 | A |
4802146 | Moeckel | Jan 1989 | A |
4819214 | Gutowski et al. | Apr 1989 | A |
4894807 | Alam et al. | Jan 1990 | A |
5130949 | Ken et al. | Jul 1992 | A |
5144589 | Hardage | Sep 1992 | A |
5282384 | Holbrook | Feb 1994 | A |
5285692 | Steiger et al. | Feb 1994 | A |
5305836 | Holbrook et al. | Apr 1994 | A |
5343440 | Kan et al. | Aug 1994 | A |
5415030 | Jogi et al. | May 1995 | A |
5442950 | Unalmiser et al. | Aug 1995 | A |
5555220 | Minto | Sep 1996 | A |
5615115 | Shilling | Mar 1997 | A |
5712829 | Tang et al. | Jan 1998 | A |
5841280 | Yu et al. | Nov 1998 | A |
5870690 | Frenkel et al. | Feb 1999 | A |
5995446 | Meyer et al. | Nov 1999 | A |
6094401 | Masak et al. | Jul 2000 | A |
6131694 | Robbins et al. | Oct 2000 | A |
6201765 | Ireson | Mar 2001 | B1 |
6351991 | Sinha | Mar 2002 | B1 |
6382332 | Eaton | May 2002 | B1 |
6411902 | Wiltshire | Jun 2002 | B1 |
6430508 | Sudhakar et al. | Aug 2002 | B1 |
6462549 | Curtis et al. | Oct 2002 | B1 |
6473696 | Onyia et al. | Oct 2002 | B1 |
6480118 | Rao | Nov 2002 | B1 |
6609067 | Tare et al. | Aug 2003 | B2 |
6751558 | Huffman et al. | Jun 2004 | B2 |
6814142 | Paulk et al. | Nov 2004 | B2 |
6819110 | Omeragic et al. | Nov 2004 | B2 |
6826486 | Malinverno | Nov 2004 | B1 |
6832158 | Mese et al. | Dec 2004 | B2 |
6877332 | DiFoggio | Apr 2005 | B2 |
6917564 | Leaney | Jul 2005 | B2 |
6977866 | Huffman et al. | Dec 2005 | B2 |
7310580 | Zhou et al. | Dec 2007 | B2 |
20040184348 | Shook et al. | Sep 2004 | A1 |
20040244972 | Sayers et al. | Dec 2004 | A1 |
20050041526 | Esmersoy et al. | Feb 2005 | A1 |
20050150713 | Garcia-Osuna et al. | Jul 2005 | A1 |
20050152219 | Garcia-Osuna et al. | Jul 2005 | A1 |
20070127314 | Wang et al. | Jun 2007 | A1 |
Number | Date | Country |
---|---|---|
1680692 | Jul 2006 | EP |
2272525 | May 1994 | GB |
WO9307514 | Apr 1993 | WO |
PCTGB200401144 | Sep 2004 | WO |
2005040860 | May 2005 | WO |
Entry |
---|
Wilhelm, et al. “Prediction of Pressure Gradients from Seismic Velocities.” Presented at AADE Industry Forum on Pressure Regimes in Sedimentary Basins and their Prediction, Sep. 2-4, 1998, Del Largo Resort. |
Brewerm R.J. “The look ahead VSP survey: Its utility and future.” Search and Discovery, 2002. |
Stewart, R.R. “Depth Imaging of Reservoirs Using Well Logs, VSP, and Surface Seismic Data.” ASEG/SEG Conference, Adelaide, 1088. |
Lapin, et al. “Joint VSP and surface seismic tomography.” SEG 2003. |
Graziella, et al. “Integrating borehole information and surface seismic for velocity anisotropy analysis and depth imaging.” The Leading Edge, May 2001. |
Dezard, “Wave field extrapolation,” Stanford Exploration Project Report SEP-41, Dec. 1984, pp. 217-250. |
Geophysics vol. 67, No. 4, Jul.-Aug. 2002 Sayers et al, “Predrill pore-pressure prediction using seismic data”, p. 1286-1292. |
JC Rasmus, “Reat-Time Pore-Pressure Evaluation From MWD/LWD Measurements and Drilling-Derived Formation Strength,” SPE Drilling Engineering, Dec. 1991. |
Ellingsrud et al., “Remote Sensing of Hydrocarbon Layers by Seabed Logging (SBL): Results from a Cruise Offshore Angola,” The Leading Edge, Oct. 2002. |
Constable et al., “Mapping Thin Resistors and Hydrocarbons with Marine EM Methods: Insights from ID Modeling,” Geophysics, vol. 71, No. 2 (Mar.-Apr. 2006). |
Constable, “Marine Electromagnetic Methods—A New Tool for Offshore Exploration,” The Leading Edge, Apr. 2006. |
Key et al., “Mapping 3D Salt using the 2D Marine Magnetotelluric Method: Case Study from Gemini Prospect, Gulf of Mexico,” Geophysics, vol. 71, No. 1 (Jan.-Feb. 2006). |
Barriol et al, “The Pressures of Drilling and Production,” Oilfield Review, Autumn 2005. |
Schlumberger, “sonicVision,”. |
Schlumberger, “MDT Modular Formation Dynamics Tester,” Jun. 2002. |
Schlumberger, “adnVision,” Aug. 18, 2006. |
Schlumberger, “E-Pulse,” Sep. 7, 2006. |
Schlumberger, “Overburden,” Geology Aug. 18, 2006. |
Schlumberger, “Filter Cake,” Aug. 11, 2006. |
Schlumberger, “Hydrostatic Pressure,” “Drilling,” and “Drilling Fluids,” Aug. 7, 2006. |
Schlumberger, “Pressure Versus Depth Plot,” Aug. 7, 2006. |
Schlumberger, “Pore Pressure,” Aug. 7, 2006. |
Haversten et al., “Pressure and Fluid Saturation Prediction in a Multicomponent Reservoir using combined Seismic and Electromagnetic Imaging,” Geophysics, vol. 68, No. 5 (Sep.-Oct. 2003). |
Stewart, R.R., “Depth Imaging of Reservoirs Using Well Logs, VSP, and Surface Seismic Data,” ASEG/SEG Conference, Adelaide, 1088. |
Lapin et al., “Joint VSP and Surface Seismic Tomography,” SEG 2003. |
Graziella, et al., “Integrating Borehole Information and Surface Seismic for Velocity Anisotropy Analysis and Depth Imaging,” The Leading Edge, May 2001. |
R.R. Stewart, ‘Depth Imaging of Reservoirs using Well Logs, VSP and Surface Seismic Data,’ ASEG/SEG Conference-Adelaide, 1988, pp. 358-361. |
Number | Date | Country | |
---|---|---|---|
20050041526 A1 | Feb 2005 | US |