Real-Time Minimization of Mechanical Specific Energy with Multivariable Extremum Seeking

Nystad, Magnus; Aadnøy, Bernt S.; Pavlov, Alexey

doi:10.3390/en14051298

Cited by 7 publications

(1 citation statement)

References 44 publications

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“…Nystad et al [28] investigated the application of a data-driven optimization method called extremum seeking (ES) to attain an improved and safer drilling process using a novel automatic real-time approach based on the minimization of the mechanical specific energy (MSE). The ES algorithm collects a wide range of information to assess the current downhole conditions.…”

Section: Academic Research-enabled Drilling Solutionsmentioning

confidence: 99%

An Outlook of Drilling Technologies and Innovations: Present Status and Future Trends

Teodoriu

Bello

2021

Energies

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The present article analyzes the technological advancement and innovations related to drilling operations. It covers the review of currently proven and emerging technologies that could mitigate the drilling operational deficiencies and instabilities that could hinder operational performance activities and the economic part of drilling development with great effort to minimize their environmental footprint. Drilling system design and operations are among the major aspects and cost-effective endeavors of the oil and gas industries, which are therefore technology dependent. They are also considered to be among the most expensive operations in the world, as they require huge expenses daily. Drilling success, depending on prevalent conditions, is a function of several general factors. These include the selection of the best technologies and tools, procedural optimization, concrete problem-solving, accurate prediction, and rapid decision-making. Consequently, any sorts of tools or advanced technologies that can improve the time-efficient operational and economic performance of drilling activities are essential and demanded. The paper provides a review of available technologies and developmental innovations based on both company-based and academic research-enabled drilling solutions over the past 5 years in the field of drilling systems and technological design. The paper further highlighted potential technologies that could be tapped in from other industries and could possibly be adopted by pushing the conventional boundaries of drilling operations.

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Section: Academic Research-enabled Drilling Solutionsmentioning

confidence: 99%

An Outlook of Drilling Technologies and Innovations: Present Status and Future Trends

Teodoriu

Bello

2021

Energies

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An approach for optimization of controllable drilling parameters for motorized bottom hole assembly in a specific formation

Yavari,

Fazaelizadeh,

Aadnoy

et al. 2023

Results in Engineering

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Micro-Testing While Drilling for Rate of Penetration Optimization: Experiments and Simulations

Nystad

Aadnøy

Pavlov

2021

Journal of Offshore Mechanics and Arctic Engineering

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The Rate of Penetration (ROP) is one of the key parameters related to the efficiency of the drilling process. Within the confines of operational limits, the drilling parameters affecting the ROP should be optimized to drill more efficiently and safely, to reduce the overall cost of constructing the well. In this study, a data-driven optimization method called Extremum Seeking (ES) is employed to automatically find and maintain the optimal Weight on Bit (WOB) which maximizes the ROP. The ES algorithm is a model-free method which gathers information about the current downhole conditions by automatically performing small tests with the WOB and executing optimization actions based on the test results. In this paper, this optimization method is augmented with a combination of a predictive and a reactive constraint handling technique to adhere to operational limitations. These methods of constraint handling within ES application to drilling are demonstrated for a maximal limit imposed on the surface torque, but the methods are generic and can be applied on various drilling parameters. The proposed optimization scheme has been tested with experiments on a downscaled drilling rig and simulations on a high-fidelity drilling simulator of a full-scale drilling operation. The experiments and simulations show the method's ability to steer the system to the optimum and to handle constraints and noisy data, resulting in safe and efficient drilling at high ROP.

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Real-Time Minimization of Mechanical Specific Energy with Multivariable Extremum Seeking

Cited by 7 publications

References 44 publications

An Outlook of Drilling Technologies and Innovations: Present Status and Future Trends

An Outlook of Drilling Technologies and Innovations: Present Status and Future Trends

An approach for optimization of controllable drilling parameters for motorized bottom hole assembly in a specific formation

Micro-Testing While Drilling for Rate of Penetration Optimization: Experiments and Simulations

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