In wellbore placement by measurement-while-drilling (MWD), surveys of the inclination and azimuth are taken at regular intervals along the wellbore. Industry standards require that a survey is taken at least every 100 feet. Commonly, a survey is taken every 90 feet, corresponding to the length of a “stand” consisting of three “singles” of drill pipe. In sections with strong curvature (“build-section”), it is common to take surveys every single of drill pipe (30 feet). The wellbore trajectory is then computed by minimum curvature interpolation, which implicitly assumes a circular arc (constant radial arc) between any two adjacent survey stations. Since the true well path between adjacent survey stations is not usually a circular arc, the actual change in position from one survey station to the next is different from the positional change computed by minimum curvature. This problem is well known in the industry. It is a cause of considerable concern because even small errors in vertical depth can lead to significant economic losses due to stranded hydrocarbon resources. To avoid such errors, methods are available to measure or estimate the direction of the wellbore in the intervals between MWD surveys.
One method used to identify wellbore trajectory between MWD surveys includes measuring the wellbore inclination and/or azimuth at many additional points between two stationary surveys. This is called “continuous survey” or “dynamic survey,” even though in practice it just employs a higher sampling rate than the actual MWD survey stations. Continuous survey data may include inclination measurements only, or both inclination and azimuth measurements. The wellbore trajectory is then computed by minimum curvature interpolation that assumes a circular arc between any two adjacent points. The more additional data points there are between the stationary surveys, the closer the two adjacent points, and the more accurate the computed wellbore trajectory between the adjacent points may be. However, the use of additional intermediate data points to facilitate better calculation of wellbore trajectory introduces operational complications in many workflows that use directional survey data.
In one aspect, a method of drilling a wellbore to a target includes measuring attitudes at two adjacent survey stations along a wellbore using a downhole surveying tool. The method further includes determining an actual change in wellbore position over a survey leg linking the two adjacent stations. Corrections are then applied to the measured attitude at one or both of the survey stations such that a modeled well path joining the survey stations reflects the determined actual change in wellbore position between the two survey stations.
In another aspect, a method of drilling a wellbore to a target includes measuring attitudes at two adjacent survey stations along a wellbore using a downhole surveying tool. The method further includes determining an actual change in wellbore position over a survey leg linking the two adjacent stations. Then, a notional survey station is interpolated between the two adjacent survey stations. The interpolation involves computing the attitude of the notional survey station such that two modeled well paths linking the two adjacent survey stations and notional survey station reflect the determined actual change in wellbore position over the survey leg.
In yet another aspect, a method of drilling a wellbore to a target includes measuring attitudes at least at two of consecutive first, second, and third survey stations along a wellbore using a downhole surveying tool. An actual change in wellbore position between the first and third survey stations is determined. Then, corrections are applied to the attitude of the second survey station such that two modeled well paths linking the three survey stations reflect the determined actual change in wellbore position between the first and third survey stations.
The following is a description of the figures in the accompanying drawings. The figures are not necessarily to scale, and certain figures and certain views of the figures may be shown exaggerated in scale or in schematic in the interest of clarity and conciseness.
Measurement-while-drilling (MWD) survey stations are typically spaced about every 90 feet along the wellbore. Each MWD survey station is characterized by a measured depth, MD, inclination, Inc, and azimuth, Az. Inclination is the deviation of the wellbore from the vertical. Azimuth is the orientation of the wellbore relative to the north. Measured depth is the length of the wellbore. The survey data may be represented by a set of direction vectors D in a North-East-Vertical (NEV) coordinate system. Each direction vector D corresponds to a measured depth, MD, at a survey station and may be expressed as shown in Equation (1) below. (The direction vector D may also be described as the attitude of the corresponding survey station.)
D=|sin(Inc)·cos(Az), sin(Inc)·sin(Az), cos(Inc)| (1)
where:
The most widely used method for computing the well path in the industry is the minimum curvature method, which assumes a circular arc between any two adjacent survey stations with indices n−1 and n. The position coordinates of survey station n−1 are given or known. The position coordinates for survey station n, in terms of Easting, Northing, and True Vertical Depth, are calculated by fitting a circular arc to the two positional vectors. If the well path between two adjacent survey stations n−1 and n is represented by position vectors Pn−1 and Pn, then
where:
In the case where DLn=0, the expression tan(DLn/2)/DLn in Equation (2C) is replaced by ½.
The standard minimum curvature solution assumes that the entire interval between survey stations n−1 and n will be drilled at a constant radius of curvature. In reality, drilling of the interval will not follow a circular arc. In reality, the true changes in inclination and azimuth will not be distributed along a circular arc over the survey interval between the two adjacent survey stations. This means that the true change in position between the survey stations will be different from the change in position computed by the minimum curvature method (Equations (2A) through (2C)). It is possible to estimate and correct this positional error using additional information on the wellbore trajectory between surveys, such as through continuous surveying or slide sheets. However, in order for such a correction to be operationally viable, it has to fit within the standard wellbore surveying framework that employs minimum curvature representation of the wellbore trajectory.
In one embodiment of the present disclosure, a method of correcting wellbore positional error includes applying corrections to the measured attitude at one or both of two adjacent survey stations such that a modeled well path joining the two survey stations reflects the actual change in wellbore position (usually expressed in 3 coordinates, Northing, Easting, and True Vertical Depth) between the two adjacent survey stations. Let the two adjacent survey stations be a previous survey station, n−1, and a current survey station, n. As the terms “previous” and “current” are used, the previous survey station will have a smaller measured depth (MD) compared to the current survey station. For this embodiment, the position vector, Pn, at the current survey station is estimated using additional survey information collected between the previous survey station, n−1, and the current survey station, n. Then, corrections to the attitude measured at the current survey station are computed such that the minimum curvature solution matches the estimated position at the current survey station, n. This is in contrast to the standard minimum curvature computation using uncorrected survey data, where the attitude at the current survey station is matched but additional knowledge regarding the position of the current survey station is ignored.
For the embodiment described above, the modeled well path linking the two adjacent survey stations is described by Equations (3A) through (3C). Equation (3A) shows the direction vector, Dn, at the current survey station, n, with inclination correction, δIncn, to the inclination measured at the current survey station, n, and azimuth correction, δAzn, to the azimuth measured at the current survey station, n. In alternate examples, only the measured inclination or only the measured azimuth may be corrected. The term “correction to attitude” will generally mean correction to one or both of the measured inclination and azimuth. The dogleg angle, DLn, and position vector, Pn, at the current survey station are given by Equations (3B) and (3C).
where:
In the correction in
In another embodiment of the present disclosure, a method of correcting wellbore positional error includes applying corrections to the attitude at a notional station interpolated between two adjacent survey stations such that two modeled well paths joining the notional station to each of the two adjacent survey stations reflect the actual change in wellbore position between the two adjacent survey stations. For this embodiment, it is helpful first to consider the effect of interpolating a notional station between two adjacent survey stations, i.e., a previous survey station, n−1, and a current survey station, n, and modeling the interval between the two adjacent survey stations as two circular arcs. If the attitude of the interpolated notional station matches the attitude of the single circular arc linking the two adjacent survey stations, then the final position computed as two circular arcs remains unchanged. If the attitude of the interpolated notional station is changed slightly up or down, left or right, then the final position of the current survey station, n, computed from two circular arcs moves in the same direction. Thus, by selecting the correct attitude for the interpolated notional station, the position of the current survey station, n, as computed by two circular arcs can be made to closely match the estimated position at the current survey station, n. As in the previous embodiment, the position vector, Pn, at the current survey station, n, can be estimated using additional survey information collected between the previous survey station, n−1, and the current survey station, n.
For illustration purposes,
Suppose that the notional station, int, interpolated between two adjacent survey stations is at a measured depth MDint with attitude Dint, then the two circular arcs (e.g., 502, 504 in
where:
Since the final equation is in vector form, it provides three equations, which can be solved for ΔMD and Dint. Dint is a unit vector with only two independent unknowns, which can alternately be represented as Incint and Azint. The position of MDint would normally be selected to be midway between MDn−1 and MDn, in order to minimize the curvatures of the segments. The mathematics can be made simpler and a non-iterative solution can be found, without significantly degrading accuracy, by replacing each of the two expressions tan(DL/2)/DL with ½.
The embodiment described above may be used if it is acceptable to add interpolated stations to the survey data or if it is acceptable to adjust the attitudes of alternate survey stations only. However, more commonly the preferred solution adjusts the attitude of each survey station in real time without adding additional stations.
In another embodiment of the present disclosure, a method of correcting wellbore positional error includes modeling the interval between three consecutive survey stations—a first station, n−1, a second station, n, and a third station, n+1 (where MD of the first station <MD of the second station <MD of the third station)—as two circular arcs, and applying corrections to the attitude of the second station, n, such that the two circular arcs reflect the actual change in wellbore position between the first station, n−1, and the third station, n+1. In one example, the stationary surveys at the three stations may be available, and the corrections to the second station may be determined using a procedure similar to the one described above for the interpolated notional station—in this case, the second station will correspond to the interpolated notional station, the first station will correspond to the previous station before the interpolated notional station, and the third station will correspond to the current station after the interpolated notational station. In another example, the calculation must be made knowing the well path prior to the second (or current) station, n, to be adjusted, but without knowledge of the third (or next) station, n+1. The most likely solution is therefore found by projecting the well path ahead to a notional station described by Dn+1 and Pn+1 in Equations (5A) and (5B), respectively, and adjusting the directional vector Dn using the above technique over the three stations at n−1, n, and n+1. Note that Equation (5A) sets the directional vector at the notional station (or third station), n+1, to be the same as the directional vector at the second station, n. In other examples, a different relationship between the directional vector at the notional (third) station and the second station may be used.
D
n+1
=D
n (5A)
P
n+1
=P
n+(MDn−MDn−1)·Dn (5B)
where:
In the example described above without knowledge of the third (or next) station, corrections may be applied to the current survey such that corrections needed to future surveys are minimized. In this case, the distance of the wellbore ahead of the second station, n, has not been surveyed yet, but it is possible to estimate the position of the next station (or third station) using secondary data, i.e., supplemental information that is outside of the stationary survey data (such as information from a qualitative orientation tool or sensor placed near the bit or information about how the well was directionally controlled during the drilling, e.g., depths and toolface directions information from slide sheets). This additional information can be used to create a more stable correction at the current station. Thus station “n−1” is the previous (or first) survey station (used for the beginning of the traditional minimum curvature calculation), station “n” is the current (or second) survey station (used as the end point for traditional minimum curvature), and station “n+1” is next (or third) survey station in the future whose position would have to be estimated. By incorporating this information into the solution used at the second (or current) survey station, n, the amount of correction that will be needed when the drill bit finally drills far enough to allow a stationary survey to be taken at the next survey station (n+1) will be reduced. Once the position of the notional future survey station (n+1) has been estimated, then the minimum curvature solution will be similar to the previous embodiment with three stations.
For illustration purposes,
In accordance with the present disclosure, a method of drilling a wellbore, such as wellbore 106, to a target involves making survey measurements along the wellbore. The survey measurements may be made using any known MWD and/or LWD techniques known in the art. The method may start at any point in the wellbore with a known position and a known (or assumed) orientation. For example, the starting point could be at the wellhead, or at a kickoff point, i.e., where deflection of the wellbore from the vertical starts, or at the bottom of a casing in the wellbore, or at any other desired point in the wellbore with a known position. For illustration purposes,
Returning to
P
bit
=P
n
+DTB·D
n (6)
where:
The correction to bit is used to estimate the position of the hole that has been drilled but where there might not be survey measurements. Due to the presence of other drilling tools in the wellbore, the surveying instrument does not make it all the way down to the bottom of the wellbore. Therefore, it is necessary to estimate what the orientation of this final segment of the wellbore would be.
Steps 306 through 310 (or variants thereof) may be carried out in an appropriate module in the BHA, or parts or all of steps 306 through 310 (or variants thereof) may be carried out with appropriate processing unit(s) or computer(s) at a surface location.
According to one embodiment, the actual change in position from the previous survey station to the current survey station, n, in step 306 may be estimated from continuous survey measurements. The continuous survey measurements are taken while drilling from the previous survey station, n−1, to the current survey station, n. Although the survey is described as continuous, in practice it just means that the continuous survey employs a higher sampling rate than the actual survey stations (or provides additional survey data points between the survey stations). The continuous survey is separate from the stationary (or static) survey measurements that are made at survey stations (step 304). The continuous survey measurements typically include measured depth, inclination, and azimuth data. The capability to make the continuous survey measurements may be provided by any suitable tool, such as a continuous inclination survey tool, in the BHA.
For each survey interval from the previous survey station, n−1, to the current survey station, n, the following information is needed: continuous inclination and/or azimuth sequence D(mdm), where MDn−1≤mdm≤MDn, m=1 . . . M, where MD is measurement depth. To compute the actual change in wellbore position, outliers from the M values of D(mdm) are removed. Then, the corresponding change in position from the previous station, n−1, to the current station, n, is computed. Data outliers can be removed by low-pass filtering, resampling, spline fitting, or by other means known in the art. The output of this computation is the change in position from the previous station, n−1, to the current station, n, denoted as Pn−Pn−1.
Pre-Processing of Continuous Survey Data: It should be noted that the continuous survey data may be subject to additional error sources not present in stationary MWD survey. Vibration during the drilling process may introduce noise to the measurement. In extreme cases, drilling tools such as agitators may be used that intentionally induce axial vibrations by converting energy from mud flow into linear motion. Single sensor readings will have increased susceptibility to residual calibration errors on the sensor being used for inclination measurements, as well as potential biases from assumed values of total gravity references. These error sources can cause discrepancies between the static MWD surveys and the data obtained via continuous inclination. To enable accurate estimation of the actual change in position between two adjacent stations, it is necessary to process the continuous inclination data prior to its use in the correction method described above so that the benefits of including additional curvature in the survey are not outweighed by the detriments of including poor quality data.
In one embodiment, pre-processing of continuous survey data (measured depth, inclination, azimuth) includes data conditioning, applying adjustments to the depth data, and applying adjustments to the continuous orientation data.
Data Conditioning: In one embodiment, statistical outliers are removed from the continuous survey dataset. Noise-reduction functions are also applied to the dataset. This may include applying a smoothing function, resampling the data at a more convenient rate for analysis, or creating synthetic data as needed. The output of this step is a new continuous survey dataset (of the form measured depth, inclination, and azimuth) that is more amenable to analysis.
Adjusting Depth Data: The measured depth data is adjusted to better correlate with the stationary survey depths. This process may include evaluating drilling parameters that can correlate sensor depth to survey depths (such as bit depth, pump pressure, block position, and slide-rotate patterns), and it may include looking at residuals when subtracting the stationary survey data from the continuous survey data. These adjustments may be made across the entire dataset or across smaller subsets of the dataset as small as a single point.
Adjusting Continuous Orientation Data: The continuous orientation data (inclination and azimuth) is adjusted to better correlate with the stationary survey depths. Where discrepancies exist, the stationary survey will be assumed to be of superior quality to the continuous data. For inclination, this may include calculating an offset across the whole set or data or calculating multiple offsets to be applied to subsets of data as small as individual points. For azimuth data, the same treatment that is applied to the inclination data may be applied or the azimuth may be replaced by taking interpolated azimuths from the stationary survey set.
A significant source of true vertical depth (TVD) errors is due to the widespread use of mud motors in directional drilling. Mud motors make use of a bend in the BHA. Consider a bend that causes a wellbore curvature of 5 degrees per 100 feet. If the drill string is rotated, the bend rotates in all directions, resulting in a straight hole or a small curvature in a direction which results from gravity and the BHA design. If on the other hand the drill string does not rotate, but the motor is driven by the mud flow, this results in a curve of 5 degrees per 100 feet. By setting the orientation (“toolface”) of the bend, the curvature of the wellbore can be oriented in the desired direction. In practice, this means that the wellbore is a sequence of “rotate” sections in which the direction is constant or slightly curved in a fixed direction and curved “slide” sections in which the direction changes in the direction of the toolface setting. These alternating slide and rotate sections are not accounted for in the standard minimum curvature representation of the wellbore trajectory.
According to the present disclosure, in another embodiment, for step 306, the actual change in position from the previous survey station, n−1, to the current survey station, n, may be computed from slide sheets. A slide sheet is a record of whether the well was intentionally deviated (“sliding” with a motor) or whether it was drilled with the assumption that the path would be straight (rotary drilling). By using a record of the intended steering directions, the curvature of the wellb ore between the stationary survey stations can be estimated.
For each survey interval from the previous survey station, n−1, to the current survey station, the following information from the slide sheets is needed: (1) “Slide” or “Rotate” mode for each segment of the interval drilled in a single mode; (2) the measured depths at each of the M switch-overs between slide and rotate segments for the interval, MDn−1≤mdm≤MDn, m=1 . . . M, and (3) the toolface reported for each “Slide” segment.
To compute the actual change in position, each sliding or rotating segment is modeled by a circular arc. Each circular arc is defined by its starting and ending depths MDm−1 and MDm, starting attitude Dm−1, starting toolface direction Tm−1, and rate of curvature Cm. The ending attitude of a segment Dm can be computed from Equations (7A) to (7C). The final direction vector Dm is found by rotation of the initial wellbore vector Dm−1 and unit vector Ym−1 about the pole by angle Rm.
R
m
=C
m·(mdm−mdm−1) (7A)
Y
m−1=|cos(Im−1)·cos(Am−1)·cos(Tm−1)·sin(Am−1)·sin(Tm−1), cos(Im−1) ·sin(Am−1)·cos(Tm−1)+cos(Am−1)·sin(Tm−1),−sin(Im−1) ·cos(Tm−1)| (7B)
D
m
=D
m−1·cos(Rm)+Ym−1·sin(Rm) (7C)
where
Given values for each of the parameters, final direction vectors can be found for all of the segments within an interval by solving sequentially from the first segment to the last. Final position vectors Pm can be obtained by solving the circular arc formulas for each segment, the last such vector giving the current position Pn at the end of the interval.
Several different computation modes may be employed, depending on the nature of the survey interval.
Sliding Segments Only Mode: If the survey interval consists of a number of sliding segments but no rotating segments, all of the depths and toolfaces are obtained from slide sheet data. The only unknown is the rate of curvature CM, which can be assumed to be the same during each sliding segment. For any curvature value CM, a solution can be found for the final attitude vector of the interval DM. The curvature value CM which results in a final attitude vector closest to the measured attitude Dn at the end of the interval is taken to be the solution. The optimum value for CM may be found by methods known in the art, such as Newton-Raphson iteration.
Sliding and Rotating Segments Mode: If the survey interval contains both sliding and rotating segments, the curvatures of each mode are unknown. It may be assumed that all sliding segments have the same curvature CS, and all rotating segments have the same curvature CR. If the rotating segments are assumed to have toolface zero (rotating mode curvature is restricted to the vertical plane), the optimum values of CS and CR will match the final attitude exactly. In this case the sliding mode matches all left/right deviation in the horizontal plane, and the rotating mode curvature matches the residual up/down deviation in the vertical plane. As the computation is non-linear, iterative methods are again required to find the solution.
If the rotating mode segments are allowed to deviate out of vertical, then the rotating mode toolface TR represents a third unknown. In this case the problem cannot be solved using data from a single interval or stand, as the final measured attitude provides only two independent equations. It can be solved using data from the current interval and the previous interval, finding the parameters which best fit to both measured attitudes Dn−1 and Dn.
For actively controlled steering tools which generate different curvatures in different segments within one interval, the ratio of segment curvatures should be provided (e.g., one segment at 50% and another at 100%).
There are certain limitations to these techniques. If all sliding toolfaces and rotating toolface coincide, it is not possible to find a unique solution. Under these circumstances one additional piece of information must be provided, such as either the sliding or rotating curvature.
It should be noted that slide sheets report one toolface per segment. A segment drilled with constant toolface does not generally follow a circular arc; however, the solutions provided above model each segment as a circular arc defined by its initial toolface direction. In order to limit systematic errors, the toolface reported on the slide sheet can be assigned to the midpoint of the corresponding circular arc. It is then possible to compute a starting toolface for use in the above calculations.
While the invention has been described with respect to a limited number of embodiments, those skilled in the art of, 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. Accordingly, the scope of the invention should be limited only by the accompanying claims.
This application claims the benefit of U.S. Provisional Application No. 62/408622, filed on 14 Oct. 2016, and U.S. Provisional Application No. 62/335078, filed on 12 May 2016, both of which are hereby incorporated by reference as if fully set forth herein.
Filing Document | Filing Date | Country | Kind |
---|---|---|---|
PCT/US2017/032295 | 5/11/2017 | WO | 00 |
Number | Date | Country | |
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62408622 | Oct 2016 | US | |
62335078 | May 2016 | US |