Unconfined compressive strength (UCS) prediction in real-time while drilling using artificial intelligence tools

A Gowida, S Elkatatny, H Gamal - Neural Computing and Applications, 2021 - Springer
Unconfined compressive strength (UCS) is a major mechanical parameter of the rock which
has an essential role in developing geomechanical models. It can be estimated directly by …

Rate of penetration prediction while drilling vertical complex lithology using an ensemble learning model

A Alsaihati, S Elkatatny, H Gamal - Journal of Petroleum Science and …, 2022 - Elsevier
The rate of penetration (ROP) accounts for a substantial portion of the overall drilling cost.
The drilling optimization process, which mostly involves the adjustment of the mechanical …

A dynamic programming algorithm based clustering model and its application to interval type-2 fuzzy large-scale group decision-making problem

X Pan, Y Wang, S He, KS Chin - IEEE Transactions on Fuzzy …, 2020 - ieeexplore.ieee.org
This article focuses on employing the dynamic programming algorithm to solve the large-
scale group decision-making problems, where the preference information takes the form of …

An area coverage scheme based on fuzzy logic and shuffled frog-leaping algorithm (sfla) in heterogeneous wireless sensor networks

AM Rahmani, S Ali, MS Yousefpoor, E Yousefpoor… - Mathematics, 2021 - mdpi.com
Coverage is a fundamental issue in wireless sensor networks (WSNs). It plays a important
role in network efficiency and performance. When sensor nodes are randomly scattered in …

Multi-robot path planning based on improved artificial potential field and fuzzy inference system

T Zhao, H Li, S Dian - Journal of Intelligent & Fuzzy Systems, 2020 - content.iospress.com
In this paper, we propose a method to assess the collision risk and a strategy to avoid the
collision for solving the problem of dynamic real-time collision avoidance between robots …

Evolutionary algorithms with blind fitness evaluation for solving optimization problems with only fuzzy fitness information

X Zhao, X Jia, T Zhang, Y Cao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Evolutionary algorithms (EAs) show strong adaptability in solving the complex optimization
problems. Fitness evaluation is an important step of EA. In this step, the fitness of individuals …

Type-2 fuzzy wavelet neural network for estimation energy performance of residential buildings

R Abiyev, S Abizada - Soft Computing, 2021 - Springer
The estimation of the energy performance of residential buildings has gained importance
because of the significant consumption of electricity in housing estate areas. For this aim …

Tactical risk assessment method for resilient fuel supply chains for a military peacekeeping operation

J Ryczyński, AA Tubis - Energies, 2021 - mdpi.com
The article focuses on research on the functioning of liquid fuel supply chains, supplying
troops carrying out peacekeeping and stabilisation operations in a foreign territory. Timely …

Knowledge-based operation optimization of a distillation unit integrating feedstock property considerations

S Li, Y Zheng, S Li, M Huang - Engineering Applications of Artificial …, 2022 - Elsevier
The distillation unit (DU) is an essential product separation unit in refineries. The process
operation of DU is directly related to the quality and yield of the final petroleum products. The …

A holistic approach to assessment of value of information (VOI) with fuzzy data and decision criteria.

M Vilela, G Oluyemi, A Petrovski - … in Management and …, 2020 - rgu-repository.worktribe.com
Classical decision and value of information theories have been applied in the oil and gas
industry from the 1960s with partial success. In this research, we identify that the classical …