[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 …

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 …

Deep hybrid modeling of chemical process: Application to hydraulic fracturing

MSF Bangi, JSI Kwon - Computers & Chemical Engineering, 2020 - Elsevier
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 …

Effect of proppant addition schedule on the proppant distribution in a straight fracture for slickwater treatment

X Hu, K Wu, G Li, J Tang, Z Shen - Journal of Petroleum Science and …, 2018 - Elsevier
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 …

Impact of proppant pum** schedule on well production for slickwater fracturing

S Mao, P Siddhamshetty, Z Zhang, W Yu, T Chun… - SPE Journal, 2021 - onepetro.org
Slickwater fracturing has become one of the most leveraging completion technologies in
unlocking hydrocarbon in unconventional reservoirs. In slickwater treatments, proppant …

Deep reinforcement learning control of hydraulic fracturing

MSF Bangi, JSI Kwon - Computers & Chemical Engineering, 2021 - Elsevier
Hydraulic fracturing is a technique to extract oil and gas from shale formations, and
obtaining a uniform proppant concentration along the fracture is key to its productivity …

Data-driven identification of interpretable reduced-order models using sparse regression

A Narasingam, JSI Kwon - Computers & Chemical Engineering, 2018 - Elsevier
Develo** physically interpretable reduced-order models (ROMs) is critical as they provide
an understanding of the underlying phenomena apart from computational tractability for …

Optimization of horizontal well fracturing in shale gas reservoir based on stimulated reservoir volume

H Zhang, J Sheng - Journal of Petroleum Science and Engineering, 2020 - Elsevier
Optimization of multi-stage fracturing horizontal wells is with great significance in shale oil
and gas reservoir production to enhance the gas recovery. The stimulated reservoir volume …

Application of Koopman operator for model-based control of fracture propagation and proppant transport in hydraulic fracturing operation

A Narasingam, JSI Kwon - Journal of Process Control, 2020 - Elsevier
This work explores the application of the recently developed Koopman operator approach
for model identification and feedback control of a hydraulic fracturing process. Controlling …

Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach

D Chaffart, LA Ricardez-Sandoval - Computers & Chemical Engineering, 2018 - Elsevier
This work details the construction and evaluation of a low computational cost hybrid
multiscale thin film deposition model that couples artificial neural networks (ANNs) with a …