Benoit Daireaux

Dr. Benoit Daireaux

NORCE Norwegian Research Center AS

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 February 2021 in Energies
Verified
Journal Article
Open access
PDF file
ECEric Cayeux
Eric Cayeux
BDBenoit Daireaux
Benoit Daireaux
AAAdrian Ambrus
Adrian Ambrus
RMRodica Mihai
Rodica Mihai
LCLiv Carlsen
Liv Carlsen
The drilling process is complex because unexpected situations may occur at any time. Furthermore, the drilling system is extremely long and slender, therefore prone to vibrations and often being dominated by long transient periods. Adding the fact that measurements are not well distributed along the drilling system, with the majority of real-time measurements only available at the top side and having only access to very sparse data from downhole, the drilling process is poorly observed therefore making it difficult to use standard control methods. Therefore, to achieve completely autonomous drilling operations, it is necessary to utilize a method that is capable of estimating the internal state of the drilling system from parsimonious information while being able to make decisions that will keep the operation safe but effective. A solution enabling autonomous decision-making while drilling has been developed. It relies on an optimization of the time to reach the section total depth (TD). The estimated time to reach the section TD is decomposed into the effective time spent in conducting the drilling operation and the likely time lost to solve unexpected drilling events. This optimization problem is solved by using a Markov decision process method. Several example scenarios have been run in a virtual rig environment to test the validity of the concept. It is found that the system is capable to adapt itself to various drilling conditions, as for example being aggressive when the operation runs smoothly and the estimated uncertainty of the internal states is low, but also more cautious when the downhole drilling conditions deteriorate or when observations tend to indicate more erratic behavior, which is often observed prior to a drilling event.

16 July 2021
Verified
Preprint
Open access
AAAdrian Ambrus
Adrian Ambrus
BDBenoit Daireaux
Benoit Daireaux
LCLiv Alm\Xe5S Carlsen
Liv Alm\Xe5S Carlsen
RMRodica Mihai
Rodica Mihai
MBMohsen Karimi Balov
Mohsen Karimi Balov
RBRonny Bergerud
Ronny Bergerud
The ability to predict the response of a drill bit to the top-side axial and rotational velocities of the drill-string is a prerequisite for any system aimed at automatically controlling the drilling parameters to optimize the rate of penetration and the overall quality of the well construction process. When drilling with a Polycrystalline Diamond Compact (PDC) bit, even the