An Improved Method of Manipulating and Evaluating Sliding Sleeves

Kenison, Michael; Adil, Abdur Rahman; Morrison, Richard Joseph; Valencia, Carlos Fernando Ramos; Harber, Bonnie En; Hermelink, Henk; Frederiksen, Christian Husum

doi:10.2118/153956-ms

Cited by 6 publications

(1 citation statement)

References 3 publications

(1 reference statement)

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“…However, detecting and troubleshooting sleeve incidents in situ provides even greater value. Therefore, Kenison et al ( 2012 ) proposed measurements that are available at the surface during the operation, enabling the operator to control the shifting tool properly and identify any problems with the sleeve or shifting tool. The suggested measurements include coil tubing and annulus pressure, temperature, casing collar locator, and axial load, all of which can be collected by a tool in the Bottom Hole Assembly (BHA).…”

Section: Related Workmentioning

confidence: 99%

XGSleeve: detecting sleeve incidents in well completion by using XGBoost classifier

Somi,

Jubair,

Cooper

et al. 2023

Front. Artif. Intell.

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The sliding sleeve holds a pivotal role in regulating fluid flow during hydraulic fracturing within shale oil extraction processes. However, concerns persist surrounding its reliability due to repeated attempts at opening the sleeve, resulting in process inefficiencies. While downhole cameras can verify sleeve states, their high cost poses a limitation. This study proposes an alternative approach, leveraging downhole data analysis for sleeve incident detection in lieu of cameras. This study introduces “XGSleeve,” a novel machine-learning methodology. XGSleeve amalgamates hidden Markov model-based clustering with the XGBoost model, offering robust identification of sleeve incidents. This method serves as an operator-centric tool, addressing the domains of oil and gas, well completion, sliding sleeves, time series classification, signal processing, XGBoost, and hidden Markov models. The XGSleeve model exhibits a commendable 86% precision in detecting sleeve incidents. This outcome significantly curtails the need for multiple sleeve open-close attempts, thereby enhancing operational efficiency and safety. The successful implementation of the XGSleeve model rectifies existing limitations in sleeve incident detection, consequently fostering optimization, safety, and resilience within the oil and gas sector. This innovation further underscores the potential for data-driven decision-making in the industry. The XGSleeve model represents a groundbreaking advancement in sleeve incident detection, demonstrating the potential for broader integration of AI and machine learning in oil and gas operations. As technology advances, such methodologies are poised to optimize processes, minimize environmental impact, and promote sustainable practices. Ultimately, the adoption of XGSleeve contributes to the enduring growth and responsible management of global oil and gas resources.

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Section: Related Workmentioning

confidence: 99%

XGSleeve: detecting sleeve incidents in well completion by using XGBoost classifier

Somi,

Jubair,

Cooper

et al. 2023

Front. Artif. Intell.

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Five Years Journey of Advanced Completions in KOC

Siddiqui¹,

Al-Jasmi²,

Rasheedi³

et al. 2015

All Days

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With an objective to increase the production to 4.0 MM BOPD, Kuwait Oil Company is developing its fields with optimum technology solution. Technological innovations in E&P sector are on growing trend, based on which, KOC included ЉRealize the value from TechnologyЉ in the frame of its strategic objectives. The Key Performance Measure (KPM) of this objective is to adopt new technologies at a scale that ideally addresses the identified challenges. In view of this objective and associated KPM, it was decided to implement the advanced completion technologies in various reservoirs of the Company.KOC has several prolific reservoirs spread all over Kuwait. These reservoirs have mild to severe differences in rock properties and fluid characteristics. Burgan is the major Cretaceous sandstone structure extended all over the Kuwait with varied properties. The permeability of Burgan in general is in multiple Darcy. Its fluid viscosity in NK and SEK is low, in the range of 0.5-3 cP, while in WK it is 28 -30cP. Minagish Oolite in West and Maududd in North are major carbonate reservoirs with varying rock and fluid properties. Horizontal wells are considered superior over conventional vertical wells due to augmented production through increased reservoir contact. However, these wells pose severe production challenges due to variations in permeability, reservoir pressure as well as frictional pressure drop along horizontal length. Hence, equalizing inflow, delay water breakthrough, minimizing heel-to-toe effects and maximizing the ultimate recovery are the primary challenges to be addressed to gain advantages of horizontal wells.One of the promising technologies to address these challenges is the advanced completions: inflow control device (ICD) and Interval control valves (ICV). The campaign of application of advanced completions in KOC was started in 2009 under the umbrella of R&T. The completions include various types of ICVs and ICDs. The latter includes passive ICD, Advanced ICD with sliding sleeve, Autonomous ICD without moving parts and ICD with stimulation port. The technology application was based on its value addition and Company's commercial group policies, while maintaining the technical superiority. The technology was trialed successfully in series in various fields and reservoirs through best practices and multi-disciplinary team approach. The focus was made to avoid drawbacks in pilot stage to avoid disapproval of the technology by management. Application of this technology led to multifold increase in sustained production in horizontal wells in all reservoirs and simultaneous reduction in water cut. This paper covers the results of the advanced completion pilots, application methodology & novel practices and selection criteria that ultimately led to tremendous increase in production and full-scale field implementation of the technology.

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An Improved Method for Shifting Sliding Sleeves on ICD Screen Completions in Extended- and Mega-Reach Applications Combining a Novel Shifting Tool with Coiled Tubing Well Tractor Technology

Mannil

Lobov

Buyanov

et al. 2017

Day 2 Wed, March 22, 2017

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Korchagina and Filanovskoe oil fields in the north Caspian Sea have many extended- and mega-reach wells that uses inflow control device (ICD) screen completions with sliding sleeves. This completion technique empowers the operator with the ability to shut off unwanted water/gas breakthrough and allows for more control of injection or inflow with unlimited number of stages or zones. This paper describes a new verified workflow to successfully intervene these wells and manipulate (open/close) these sliding sleeves using coiled tubing (CT). It has proven challenging to shift these sliding sleeves using conventional methods with CT owing to the limitation of available weight on bit (WOB) at the toe end of those extended-reach wells, even when using large-size CT strings. The new proposed workflow uses a well tractor operated in tandem with a hydraulic shifting tool to generate the required shifting force downhole. The bottomhole assembly (BHA) also includes a novel flow control sub, assembled between the shifting tool and the tractor, with the ability to control the flow to selectively activate the tractor, the shifting tool, or both, based on surface commands by manipulating pump rate. To verify the methodology, a realistic well scenario was simulated at a test site by installing two ICD screens with sliding sleeves at the end of a 1,000-ft-long horizontal flow loop. The sleeves on each ICD screen required approximately 4,000 lbf set-down force to open. The available WOB at the end of horizontal loop with 2-in. CT was only 1,000 lbf; applying more than 1,000 lbf set-down load could have detrimental effects, including CT buckling. The 3⅞-in. OD well tractor used for the job was able to generate 6,000 lbf of pulling force downhole, which was more than enough to shift the sleeves open. Both sleeves were successfully opened by tractoring down while maintaining both the tractor and the shifting tool in the on position, which was achieved by manipulating the flow control sub using pump rate cycles. Both sleeves were then successfully closed, one after the other, by pulling with the CT with the tractor turned off while maintaining the shifting tool in the on position, again achieved by manipulating the flow control sub. Live downhole pressure and force measurements were key in confirming proper functionality of the tractor and identifying different tool modes. Having real-time data is also crucial for proper depth correlation using casing collar locators (CCL) or gamma ray measurements to ensure activating the correct sleeves. This marks the first time that a workflow was verified on the use of pull force generated by a well tractor to manipulate completion accessories in extended-reach well interventions using CT. The technology, preparation, results, and prospects of implementation are discussed in this paper.

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An Improved Method of Manipulating and Evaluating Sliding Sleeves

Cited by 6 publications

References 3 publications

XGSleeve: detecting sleeve incidents in well completion by using XGBoost classifier

XGSleeve: detecting sleeve incidents in well completion by using XGBoost classifier

Five Years Journey of Advanced Completions in KOC

An Improved Method for Shifting Sliding Sleeves on ICD Screen Completions in Extended- and Mega-Reach Applications Combining a Novel Shifting Tool with Coiled Tubing Well Tractor Technology

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