Evaluation and optimization of drilling efficiency while drilling based on improved rock-breaking specific energy model of bit

Rock-breaking specific energy model of bit is the key foundation of evaluation and optimization of downhole drilling condition, while some necessary parameters for the existing models is difficult to measure directly while drilling. Aiming to improve the accessibility and accuracy of the model, this study proposes and illustrates an improved method by combining field tests and logging while drilling. The improved model was used to distinguish the inefficient drilling conditions and then to optimize drilling parameters. The results of application cases show that, the necessary parameters for the improved model could be obtained in time and the improved model helps to distinguish the reasons of stick–slip, whirling, load transfer difficulties in different horizontal wells. Based on the proposed model, the drilling parameters were evaluated and optimized, and then the rate of penetration get improved by 90.5% with higher energy efficiency. The proposed model and method could facilitate to realize automated and intelligent drilling.

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Publication Details

Journal
Geomechanics and Geophysics for Geo-Energy and Geo-Resources
Published
2024-10-23
DOI
https://doi.org/10.1007/s40948-024-00872-9
Citations
2
Primary Topic
Drilling and Well Engineering
Type
article
Field-Weighted Citation Impact
0.67

Funders

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article

Evaluation and optimization of drilling efficiency while drilling based on improved rock-breaking specific energy model of bit

Lulin Kong, Huidong Mu, Zhiqiang Zhao, Wen-Juan Ji et al.
2 citations
Geomechanics and Geophysics for Geo-Energy and Geo-Resources
Drilling and Well Engineering
0.67
article

Evaluation and optimization of drilling efficiency while drilling based on improved rock-breaking specific energy model of bit

Lulin Kong, Huidong Mu, Zhiqiang Zhao, Wen-Juan Ji, Xu Han, Weiqiang Song, Zhiwei Sun
article en
2 citations

Abstract

Rock-breaking specific energy model of bit is the key foundation of evaluation and optimization of downhole drilling condition, while some necessary parameters for the existing models is difficult to measure directly while drilling. Aiming to improve the accessibility and accuracy of the model, this study proposes and illustrates an improved method by combining field tests and logging while drilling. The improved model was used to distinguish the inefficient drilling conditions and then to optimize drilling parameters. The results of application cases show that, the necessary parameters for the improved model could be obtained in time and the improved model helps to distinguish the reasons of stick–slip, whirling, load transfer difficulties in different horizontal wells. Based on the proposed model, the drilling parameters were evaluated and optimized, and then the rate of penetration get improved by 90.5% with higher energy efficiency. The proposed model and method could facilitate to realize automated and intelligent drilling.

Geomechanics and Geophysics for Geo-Energy and Geo-ResourcesVol. 10(1)
Research Institute of Petroleum Exploration and Development (CN), Shandong University of Science and Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Affordable and clean energy
Openalex Percentile: Top 30%
Drilling and Well Engineering
0.67
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