Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A review of technological advances and open challenges for oil and gas drilling systems engineering
EI Epelle, DI Gerogiorgis - AIChE Journal, 2020 - Wiley Online Library
The ever‐increasing quest to identify, secure, access, and operate oil and gas fields is
continuously expanding to the far corners of the planet, facing extreme conditions toward …
continuously expanding to the far corners of the planet, facing extreme conditions toward …
[HTML][HTML] Micro-proppant placement in hydraulic and natural fracture stimulation in unconventional reservoirs: A review
M Aslannezhad, A Kalantariasl, Z You, S Iglauer… - Energy Reports, 2021 - Elsevier
Tight hydrocarbon reservoirs require stimulation to improve the recovery of oil and gas
resources. Hydraulic fracturing is a technique extensively employed in the oil and gas …
resources. Hydraulic fracturing is a technique extensively employed in the oil and gas …
Deep neural network-based hybrid modeling and experimental validation for an industry-scale fermentation process: Identification of time-varying dependencies …
P Shah, MZ Sheriff, MSF Bangi, C Kravaris… - Chemical Engineering …, 2022 - Elsevier
Kinetic modeling of fermentation processes is difficult due to the use of micro-organisms that
follow complex reaction mechanisms. Kinetic models are usually not perfect owing to …
follow complex reaction mechanisms. Kinetic models are usually not perfect owing to …
Deep hybrid modeling of chemical process: Application to hydraulic fracturing
Process modeling began with the use of first principles resulting in 'white-box'models which
are complex but accurately explain the dynamics of the process. Recently, there has been …
are complex but accurately explain the dynamics of the process. Recently, there has been …
Development of a hybrid model for a partially known intracellular signaling pathway through correction term estimation and neural network modeling
D Lee, A Jayaraman, JS Kwon - PLoS Computational Biology, 2020 - journals.plos.org
Develo** an accurate first-principle model is an important step in employing systems
biology approaches to analyze an intracellular signaling pathway. However, an accurate first …
biology approaches to analyze an intracellular signaling pathway. However, an accurate first …
Effect of proppant addition schedule on the proppant distribution in a straight fracture for slickwater treatment
The slickwater treatment is widely used in the unconventional fracturing. The proppant
addition schedule is an important aspect of slickwater treatment. However, the effect of …
addition schedule is an important aspect of slickwater treatment. However, the effect of …
Koopman Lyapunov‐based model predictive control of nonlinear chemical process systems
A Narasingam, JSI Kwon - AIChE Journal, 2019 - Wiley Online Library
In this work, we propose the integration of Koopman operator methodology with Lyapunov‐
based model predictive control (LMPC) for stabilization of nonlinear systems. The Koopman …
based model predictive control (LMPC) for stabilization of nonlinear systems. The Koopman …
Model selection for hybrid dynamical systems via sparse regression
NM Mangan, T Askham, SL Brunton… - … of the Royal …, 2019 - royalsocietypublishing.org
Hybrid systems are traditionally difficult to identify and analyse using classical dynamical
systems theory. Moreover, recently developed model identification methodologies largely …
systems theory. Moreover, recently developed model identification methodologies largely …
[HTML][HTML] Data-driven modeling of multimode chemical process: Validation with a real-world distillation column
Y Choi, B Bhadriaju, H Cho, J Lim, IS Han… - Chemical Engineering …, 2023 - Elsevier
Real-world industrial processes frequently operate in different modes such as start-up,
transient, and steady-state operation. Since different operating modes are governed by …
transient, and steady-state operation. Since different operating modes are governed by …
OASIS-P: Operable adaptive sparse identification of systems for fault prognosis of chemical processes
B Bhadriraju, JSI Kwon, F Khan - Journal of Process Control, 2021 - Elsevier
With the increasing process complexities, data-driven fault prognosis has emerged as a
promising fault management tool that predicts and manages abnormal events well in …
promising fault management tool that predicts and manages abnormal events well in …