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Wellbore trajectories are a fundamental piece of data used for decisions throughout the oilfield. Trajectories are typically mapped through measurement-while-drilling (MWD) survey stations collected at 95ft intervals. Previous work suggests that this sparse sampling interval masks short segments of high curvature, negatively impacting workflows that consume this data (Stockhausen & Lesso, 2003; Baumgartner, et. al., 2019). This can come in the form of poorly estimating the true vertical depth of a well, poorly mapping geologic structure, and poorly quantifying the tortuosity of the wellpath. Several methods have previously been proposed to improve trajectory mapping by incorporating additional data collected between stationary surveys (Stockhausen & Lesso, 2003; Gutiérrez Carrilero, et al., 2018). Two sources of such data are continuous survey measurements and slide/rotate behaviors captured in slide sheets. Two methods of improving the wellbore trajectory mapping were compared in several extended reach lateral wellbores. The impact of the new trajectories on landing point selection, dip estimation, and wellbore tortuosity analysis was determined. One method took continuous inclination data and mapped directional changes between stationary surveys. The second used bit projections generated through automated-slide-sheet-analysis from real-time tool face data, estimating the location and direction of curvature produced by slide/rotate operations. These curvature estimations were used to predict wellbore shape between surveys. As a final check, in the curve sections of the wellbores, stationary surveys were collected at more frequent intervals (e.g., 31ft) to provide validation on the high-resolution trajectories and to understand the cost-benefit of simply surveying more frequently. Both methods of high-resolution trajectories imply that errors present in a 95ft course length survey are enough to impact decisions made when drilling an extended reach lateral. Landing point estimations were shifted in several cases by over 10ft, the approximate thickness of the target formation. Similar discrepancies in true vertical depth were observed along the length of the laterals. Both methods showed strong agreement through the curve sections of the wellbore, however this agreement weakened during the lateral where short slides and geological effects on rotary tendency reduced the accuracy of the automated-slide-sheet method. A discussion of the discrepancies between the two methods in laterals is included. Dogleg severity analysis confirmed that short sections of high curvature exist that are masked by traditional 95ft survey course lengths. Surveying at 31ft intervals improves the mapping of this tortuosity but still does not capture the full effects seen on continuous survey data. Previous work has suggested that typical wellbore trajectory mapping may be unsuitable for accurate analysis of things like geological structure and wellbore tortuosity analysis. Two methods are evaluated here that support those claims, suggesting that in the future high-resolution trajectories may be a necessity for accurate decision-making.
Wellbore trajectories are a fundamental piece of data used for decisions throughout the oilfield. Trajectories are typically mapped through measurement-while-drilling (MWD) survey stations collected at 95ft intervals. Previous work suggests that this sparse sampling interval masks short segments of high curvature, negatively impacting workflows that consume this data (Stockhausen & Lesso, 2003; Baumgartner, et. al., 2019). This can come in the form of poorly estimating the true vertical depth of a well, poorly mapping geologic structure, and poorly quantifying the tortuosity of the wellpath. Several methods have previously been proposed to improve trajectory mapping by incorporating additional data collected between stationary surveys (Stockhausen & Lesso, 2003; Gutiérrez Carrilero, et al., 2018). Two sources of such data are continuous survey measurements and slide/rotate behaviors captured in slide sheets. Two methods of improving the wellbore trajectory mapping were compared in several extended reach lateral wellbores. The impact of the new trajectories on landing point selection, dip estimation, and wellbore tortuosity analysis was determined. One method took continuous inclination data and mapped directional changes between stationary surveys. The second used bit projections generated through automated-slide-sheet-analysis from real-time tool face data, estimating the location and direction of curvature produced by slide/rotate operations. These curvature estimations were used to predict wellbore shape between surveys. As a final check, in the curve sections of the wellbores, stationary surveys were collected at more frequent intervals (e.g., 31ft) to provide validation on the high-resolution trajectories and to understand the cost-benefit of simply surveying more frequently. Both methods of high-resolution trajectories imply that errors present in a 95ft course length survey are enough to impact decisions made when drilling an extended reach lateral. Landing point estimations were shifted in several cases by over 10ft, the approximate thickness of the target formation. Similar discrepancies in true vertical depth were observed along the length of the laterals. Both methods showed strong agreement through the curve sections of the wellbore, however this agreement weakened during the lateral where short slides and geological effects on rotary tendency reduced the accuracy of the automated-slide-sheet method. A discussion of the discrepancies between the two methods in laterals is included. Dogleg severity analysis confirmed that short sections of high curvature exist that are masked by traditional 95ft survey course lengths. Surveying at 31ft intervals improves the mapping of this tortuosity but still does not capture the full effects seen on continuous survey data. Previous work has suggested that typical wellbore trajectory mapping may be unsuitable for accurate analysis of things like geological structure and wellbore tortuosity analysis. Two methods are evaluated here that support those claims, suggesting that in the future high-resolution trajectories may be a necessity for accurate decision-making.
The industry is making discoveries and drilling in areas and formations where along hole depth is of increasing importance. It is essential that the LWD depth meets positional objectives. The driller’s depth, which is the sum of the pipe strap measured while the pipes are on the surface, is used to calculate the logging-while-drilling (LWD) depth. However, environmental corrections must be applied to the driller’s depth resulting from the dynamic mechanical changes pipes undergo while in the borehole, with these corrections applied at the surface. These dynamic changes are due to drilling activities, temperature, and changes in the wellbore profiles and often result in LWD depth being shallower than the actual depth. While drilling, dynamic and borehole conditions are known to significantly impact drilling operations and at best a block shift correction or depth matching to wireline depth is applied to the driller’s depth. However, an accurate drill pipe depth determination must include environmental corrections for the dynamic changes in the pipe stretch and compression, which vary with weight on bit, in addition to wellbore profile, torque, drag, friction factor, and borehole temperature. In recent years, depth correction has been incorporated successfully in deepwater wells to environmentally correct for these errors and to improve the accuracy of the depth measurement. The challenge for drillers is overcoming the variations in depth measurements, to ensure wellbores are accurately and safely placed in the reservoir. Multiple techniques can be implemented to ensure this occurs, from drill pipe stretch modelling to depth measurements systems. The effect of depth correction has been observed in the multi-well pressure analysis for reservoir compartmentalization studies and fluid contacts. Case studies are presented from wells drilled in deepwater where correction was applied to demonstrate its importance in reservoir development. In one case, the placement of pressure and sample points on the most accurate true vertical depth was achieved. By placing the pressure and sample points on the actual depth, a more precise assessment of sand continuity and oil/water contacts was obtained across the field. In another case, determination of the casing landing depth was obtained. In this case, correction was run in near real time to calculate casing stretch, helping to set the casing depth within the expected rathole while running in the hole. The effect of heave on depth on floating rigs often complicates image interpretation. One case study is presented to demonstrate improvement on the image after applying correction. Modeling of depth uncertainties prior to drilling to understand the nature and magnitude of the correction is a novel approach and should be utilized in determining in the driller’s depth. The ability to maximize production and optimize drilling time requires LWD/MWD to play a significant role to get it right the first time. Accurate wellbore positioning allows for better reservoir exploitation, landing and setting casing depth, and understanding of the reservoir compartmentalization development risk.
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