Results 251 to 260 of about 69,255 (297)
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Drilling Optimization via Particle Swarm Optimization

International Journal of Swarm Intelligence Research, 2012
The drilling process based on Material Reduction Rate (MRR) is modeled in this work. The modeling of this process is rather time-consuming and expensive as it involves 32 experiments with appropriate apparatus. Having had the model, the authors employed the well-known algorithm, namely Particle Swarm Optimization (PSO) to solve the maximization problem
T. O. Ting, T. S. Lee
openaire   +1 more source

Drilling Optimization

Journal of Petroleum Technology, 1970
Optimized drilling techniques, first applied in 1967, have significantly reduced drilling costs, but have not yet reached full potential. Detailed treatment is given to the interactions of the most important drilling variables. Results indicate that better data, more experience, and confidence will result in greater savings in the future.
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Drilling Optimization Using New Directional Drilling Technology

SPE/IADC Middle East Drilling Technology Conference and Exhibition, 2011
Abstract A horizontal drilling campaign in Oman required an engineering solution to address the challenges in the 8.5-in. buildup section. The challenges include high dogleg requirements with dogleg severity (DLS) of 9°/100 ft to 11°/100 ft, long reactive shale intervals, poor wellbore quality, weight transfer issues, trajectory control,
May Eltayeb   +7 more
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Drilling trajectory optimization

IEEE Instrumentation & Measurement Magazine, 2013
This is an excellent introduction to contemporary drilling technology. A well is not just a hole in the ground; putting the hole where you want it is no small matter.
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Optimization of Drill Bits for Bone Drilling Procedure

Volume 1: Additive Manufacturing; Bio and Sustainable Manufacturing, 2018
The paper presents a methodology to optimize drill bits to realize safe drilling of bone materials for many surgeries like orthopedics and neurosurgery. First, a mechanistic model is introduced to relate drilling forces to main drill bit geometry parameters. Then a genetic algorithm is developed to optimize drill bit geometry parameters by minimization
Jianbo Sui, Naohiko Sugita
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Slide-Drilling Guidance System Optimizes Directional Drilling Path

Journal of Petroleum Technology, 2020
This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 194096, “Slide-Drilling Guidance System for Directional-Drilling Path Optimization,” by Can Pehlivanturk and John D’Angelo, The University of Texas at Austin, and Dingzhou Cao, Anadarko, et al., prepared for the 2019 SPE/IADC International Drilling ...
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Drilling Optimization Using Drilling Data and Available Technology

Proceedings of SPE Latin America/Caribbean Petroleum Engineering Conference, 1994
ABSTRACT This paper demonstrates how information obtained while drilling an oil or gas well, is utilized to optimize drilling costs for upcoming wells in the same field by creating a Geological Drilling Log (GDL). The GDL is created by using drilling models specific to the bits used for individual intervals to generate a formation ...
P. R. Rampersad   +2 more
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Optimizing Drilling Parameters Enhances Horizontal Drilling Performance

SPE/IADC Middle East Drilling Technology Conference, 2001
AbstractThe optimized selection of bits and mud type during any drilling operation improves significantly the drilling efficiency presented in high rates of penetration consequently less cost per meter.Hydraulics play also great part in optimization cycle by enhancing the ratio of the pressure loss across the bit nozzles to the circulating pressure ...
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Drilling Path Optimization by Optimal Foraging Algorithm

IEEE Transactions on Industrial Informatics, 2018
Drilling path optimization (DPO) is a crucial issue in current manufacturing systems. In this paper, an optimization algorithm named the optimal foraging algorithm (OFA) is presented based on optimal foraging theory to solve the sequencing problem when many holes must be drilled.
Wei-Bo Zhang, Guang-Yu Zhu
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Drilling Optimization Platform for Well Cost Optimization

SPE Trinidad and Tobago Section Energy Resources Conference, 2016
Abstract As operators strive to become more efficient on cost and performance during well construction, their approach to tracking invisible lost time (ILT) and non-productive time (NPT) has been revamped. A state-of-the-art software platform has been introduced into the market to monitor and optimise drilling performance in real-time ...
Viveka Sawh, Herlene Solomon
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