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Real-time downhole data from coiled tubing (CT) milling operations improved performance metrics including rate of penetration (ROP) and stall rates. Those data enabled new diagnostics such as detection of milling target interfaces. At the same time, characterization of milling targets improves detection of interfaces between two contiguous milling targets and enables real-time diagnostics of the milling motor, bit, and target. These new capabilities enable more cost-effective operations and automation. The torque and applied thrust relationship provides a means of characterizing the milling curve along which a milling bottomhole assembly (BHA)—motor and mill bit—and milling target operate. Torque-thrust data from milling three types of downhole targets—cement, through-tubing bridge plugs (TTBP), and composite bridge plugs (CBP)—are used to characterize that relationship for each BHA-target pair. Torque-thrust slopes for cement and mechanical plugs were calculated based on milling data from seven different wells. These data provide expected values for future milling operations and a reliable means to identifying when the BHA transitions from cement to a mechanical target. The torque-thrust slope of cement (six samples), TTBP (three samples), and CBP (three samples) targets average −0.10, −0.01, and −0.03 ft-lbf/lbf, respectively. Cement milling follows a steeper torque-thrust curve than TTBP and CBP, which is explained by a higher friction coefficient between mill bit and cement. The TTBP has hard metal slips that must be milled to release the plug; the CBP has minimal metal content and is designed for easier millout of body and slips. Those differences in material and build explain the difference in torque-thrust curve slope between mechanical plugs. Changes to mill bit and milling target condition, pump rate fluctuations, and downhole condition variations also trigger deviations in the torque-thrust behavior. An algorithm based on a cumulative sum (CUSUM) statistical method detects small shifts in acquisition channels based on current and previous data. The algorithm considers individual surface and downhole channels, estimates group statistics, and triggers event detection when the CUSUM drifts beyond predefined standard deviations of the mean. The algorithm automates real-time detection and visualization of tagging top of targets, active milling, and stall events. The algorithm is augmented by known BHA specifications to anticipate stall conditions based on maximum recommended differential pressure, thrust, and torque. The algorithm detects downhole events 9−27 seconds before they are visually perceptible, accelerating reaction time. Its causal design allows real-time detection and can be ported to CT acquisition software. It can calculate metrics including ROP and stall rates almost instantly, either in real-time or in post-job analysis. A control decision model is proposed for extending event detection—tagging a target, starting milling, anticipation of a stall, and stall events—to an automated CT milling operation.
Real-time downhole data from coiled tubing (CT) milling operations improved performance metrics including rate of penetration (ROP) and stall rates. Those data enabled new diagnostics such as detection of milling target interfaces. At the same time, characterization of milling targets improves detection of interfaces between two contiguous milling targets and enables real-time diagnostics of the milling motor, bit, and target. These new capabilities enable more cost-effective operations and automation. The torque and applied thrust relationship provides a means of characterizing the milling curve along which a milling bottomhole assembly (BHA)—motor and mill bit—and milling target operate. Torque-thrust data from milling three types of downhole targets—cement, through-tubing bridge plugs (TTBP), and composite bridge plugs (CBP)—are used to characterize that relationship for each BHA-target pair. Torque-thrust slopes for cement and mechanical plugs were calculated based on milling data from seven different wells. These data provide expected values for future milling operations and a reliable means to identifying when the BHA transitions from cement to a mechanical target. The torque-thrust slope of cement (six samples), TTBP (three samples), and CBP (three samples) targets average −0.10, −0.01, and −0.03 ft-lbf/lbf, respectively. Cement milling follows a steeper torque-thrust curve than TTBP and CBP, which is explained by a higher friction coefficient between mill bit and cement. The TTBP has hard metal slips that must be milled to release the plug; the CBP has minimal metal content and is designed for easier millout of body and slips. Those differences in material and build explain the difference in torque-thrust curve slope between mechanical plugs. Changes to mill bit and milling target condition, pump rate fluctuations, and downhole condition variations also trigger deviations in the torque-thrust behavior. An algorithm based on a cumulative sum (CUSUM) statistical method detects small shifts in acquisition channels based on current and previous data. The algorithm considers individual surface and downhole channels, estimates group statistics, and triggers event detection when the CUSUM drifts beyond predefined standard deviations of the mean. The algorithm automates real-time detection and visualization of tagging top of targets, active milling, and stall events. The algorithm is augmented by known BHA specifications to anticipate stall conditions based on maximum recommended differential pressure, thrust, and torque. The algorithm detects downhole events 9−27 seconds before they are visually perceptible, accelerating reaction time. Its causal design allows real-time detection and can be ported to CT acquisition software. It can calculate metrics including ROP and stall rates almost instantly, either in real-time or in post-job analysis. A control decision model is proposed for extending event detection—tagging a target, starting milling, anticipation of a stall, and stall events—to an automated CT milling operation.
Production logging is very essential to understand the flow profile of the formation that is being produced from. It helps to identify the contribution of the oil, water, and gas to the total fluid. To add, it is done on a usual basis to monitor the reservoir performance. Organic deposit adherence to production logging tool (PLT) spinners can hinder logging operations and result in inconclusive data acquisition. To avoid this problem, standard practices have been developed to clean out organic deposits using a standard coiled tubing (CT) reel followed by production logging using a CT reel equipped with wireline cable. Further optimization of those practices can help minimize operational cost, footprint on location, and overall job time. New CT hybrid fiber optic technology (HFOT) was deployed to meet the optimization objectives and eliminate the need for a second CT reel. The technology combines optical fibers and conductor cable with insulation to withstand corrosive fluid environments and deliver power to downhole tools, thereby overcoming prior CT system dependency on downhole batteries to run tools. The system was used in a two-run cleanout-and-logging process: first, organic deposit dissolver was pumped for wellbore conditioning purposes, before production logging was conducted with a multi-spinner production logging tool and pulse neutron tool in the second CT run. The new CT HFOT was deployed for the first time in a Middle East reservoir. Organic deposit−dissolving treatments and production logging operations were completed in four oil wells equipped with electrical submersible pumps (ESPs). After stabilizing the pressures and rates, the logging runs were conducted by recording multiple up-down passes and stationary measurements. Introduction of the new CT HFOT helped to reduce operational time by an average of 40 hours per job resulting from rig-up time optimization between CT runs, which also helped in delivering a substantial cost saving to the operator. Using one CT reel also helped in minimizing safety risks associated with personnel exposure to heavy lifting equipment during rig-up and risks associated with battery handling and management. This study illustrates job design, pretreatment preparation, operational details, and post-job result analysis. It particularly focuses on the HFOT along with a comparison with operations using a conventional CT and CT equipped with wireline cable. Readers will broaden their knowledge by learning about CT cleanout operations, logging operations, and ways in which new technology can optimize overall intervention costs while minimizing location footprint.
Over the past two decades, coiled tubing (CT) has been the preferred intervention method in multilateral wells, given its ability for deeper reach, smaller displacement volumes, more controlled placement, and flexibility on the scope of work. Nonetheless, as the lateral mapping and entry processes have relied on hydraulically actuated downhole tools, interventions tend to be lengthy and fluid consuming, requiring more than 400 bbl of water per lateral just for mapping purposes. Stimulation treatments in multilateral wells are usually preceded by wellbore conditioning on each lateral. The placement of the treating fluids is conducted through a high-pressure jetting module that, when activated permanently, isolates the multilateral entry components of the hydraulically actuated toolstring. Therefore, interventions with cleanout and stimulation scope of work cannot be conducted in a single run, extending the overall intervention time. The recent introduction of an acid-resistant, electrical multilateral entry tool with direction and inclination measurements allows lateral entry on the first attempt. The system also features a downhole on-command, electrically actuated circulation valve (EACV), which redirects fluid to either exit jetting nozzles or to downhole tools, thus avoiding isolation of any toolstring component. A dual-lateral carbonate water injector well, completed as a 6 1/8-in. open hole, was selected for the first implementation of the acid-resistant, multilateral entry assembly. The CT string was equipped with a hybrid electro-optical cable that provides continuous downhole power and enables dual telemetry (optical and electrical) capabilities for a virtually unlimited operational time. Following cleanout work on the main lateral (L-0), entry into the second lateral (L-1) was completed on the first attempt. In both cases, the wellbore conditioning stage was conducted by circulating fluids through the jetting nozzles of the EACV. Before the matrix stimulation of each lateral, the flow path of the EACV was switched, redirecting the flow through a high-pressure jetting tool. Close to 5,000 bbl of reactive fluids were pumped throughout the stimulation stage with an average pumping rate of 3.5 bbl/min. The entire scope of work was completed in a single CT run, saving more than 48 hours of operating time. The optimized intervention workflow saved more than 1,000 bbl of water and reduced CO2 emissions by nearly 25%. The experience gained from the first implementation of the acid-resistant, multilateral entry assembly validates the technology as a step-change for enhanced CT multilateral intervention. This technology paves the road for new intervention workflows leveraging optical and electrical CT downhole telemetry with the EACV acting as the key building block to provide full control of the selective actuation of part of the hydraulic bottomhole assembly.
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