[HTML][HTML] Influence of wellhead pressure and water cut in the optimization of oil production from gas lifted wells

S Hari, S Krishna, M Patel, P Bhatia, RK Vij - Petroleum research, 2022 - Elsevier
The worldwide increase in energy demand necessitates the development and optimization
of marginal oil fields for sustenance. In this regard, effective and economic production of …

Deep-learning-based automated stratigraphic correlation

Y Tokpanov, J Smith, Z Ma, L Deng… - SPE Annual Technical …, 2020 - onepetro.org
Stratigraphic correlation is essential in field evaluation as it provides the necessary tops to
compartmentalize the reservoir. It further contributes to other parts of the field development …

Increasing productivity by using smart gas for optimal management of the gas lift process in a cluster of wells

J Abu-Bakri, A Jafari, H Namdar, G Ahmadi - Scientific Reports, 2024 - nature.com
In the face of the escalating global energy demand, the challenge lies in enhancing the
extraction of oil from low-pressure underground reservoirs. The conventional artificial gas lift …

Data-driven proxy model for waterflood performance prediction and optimization using Echo State Network with Teacher Forcing in mature fields

L Deng, Y Pan - Journal of Petroleum Science and Engineering, 2021 - Elsevier
Waterflood has been widely applied across the world as the most important secondary
recovery process to improve reservoir performance. The schemes applied to waterflood …

A novel data-driven pressure/rate deconvolution algorithm to enhance production data analysis in unconventional reservoirs

Y Pan, L Deng, WJ Lee - Journal of Petroleum Science and Engineering, 2020 - Elsevier
Horizontal wells with hydraulic fractures enable economical hydrocarbon extraction from
unconventional reservoirs, and the associated transient production data is a reliable source …

Laplacian Echo-State Networks for production analysis and forecasting in unconventional reservoirs

Y Pan, L Deng, P Zhou, WJ Lee - Journal of Petroleum Science and …, 2021 - Elsevier
Production data analysis for low permeability shale reservoirs is crucial in characterizing
flow regimes and reservoir properties, and the forecasting of production is essential for …

Production analysis and forecasting for unconventional reservoirs using Laplacian echo-state networks

Y Pan, P Zhou, L Deng, J Lee - SPE Western Regional Meeting, 2019 - onepetro.org
Production data analysis for low permeability shale reservoirs is crucial in characterizing
flow regimes and reservoir properties, and the forecasting of production is essential for …

A new energy-aware method for gas lift allocation in IoT-based industries using a chemical reaction-based optimization algorithm

K Zanbouri, M Razoughi Bastak, SM Alizadeh… - Electronics, 2022 - mdpi.com
The Internet of Things (IoT) has recently developed opportunities for various industries,
including the petrochemical industry, that allow for intelligent manufacturing with real-time …

Pore structure characterization of a shale sample using SEM images

Y Zhang, R Ghanbarnezhad Moghanloo… - SPE Western Regional …, 2019 - onepetro.org
We analyze a compiled stack of Scanning Electron Microscopy (SEM) images of an Eagle
Ford shale sample to assess pore structure and complex pore connectivity. In recent years …

Data-Driven Deconvolution Using Echo-State Networks Enhances Production Data Analysis in Unconventional Reservoirs

Y Pan, L Deng, J Lee - SPE Eastern Regional Meeting, 2019 - onepetro.org
Horizontal wells with hydraulic fractures enable economical hydrocarbon extraction from
unconventional reservoirs, and the associated transient production data is a reliable source …