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 …

A deep learning framework for multi-horizon probabilistic production forecasting in unconventional reservoirs

R Thavarajah, H Darabi, N Ruta, A Salehi… - … Conference, 20–22 …, 2022 - library.seg.org
Managing unconventional assets necessitates accurate production forecasting.
Traditionally, Decline Curve Analysis (DCA) and statistical type curves are used to estimate …

Application of flow diagnostics to rapid production data integration in complex geologic grids and dual permeability models

F Olalotiti-Lawal, A Salehi, G Hetz… - SPE Western Regional …, 2019 - onepetro.org
Streamline-based methods, as repeatedly demonstrated in multiple applications, offer a
robust and elegant framework for reconciling high-resolution geologic models with observed …

A Data-Driven Workflow for Identifying Optimum Horizontal Subsurface Targets

A Salehi, I Arslan, L Deng, H Darabi, J Smith… - SPE Annual Technical …, 2021 - onepetro.org
Horizontal well development often increases field production and recovery due to increased
reservoir contact, reduced drawdown in the reservoir, and a more efficient drainage pattern …

Optimal horizontal well placement with deep-learning-based production forecast in unconventional assets

A Kianinejad, A Salehi, H Darabi… - SPE Annual Technical …, 2022 - onepetro.org
Horizontal wells placement and production forecast of unconventional assets play critical
roles in the success or failure of any given operation. Traditional reservoir simulation …

Smart reservoir management in the oil and gas industry

D Castiñeira, H Darabi, X Zhai, W Benhallam - Smart Manufacturing, 2020 - Elsevier
The oil and gas (O&G) industry is facing intense pressure to improve operational efficiencies
as oil and gas prices continue to fluctuate. Many O&G companies are now rushing into a …

Physics-Informed Spatio-Temporal Graph Neural Network for Waterflood Management

H Darabi, A Kianinejad, A Salehi - Abu Dhabi International Petroleum …, 2022 - onepetro.org
Conventional approaches such as operational spreadsheets and reservoir simulation are
ineffective for actively managing waterflooding; either too simplistic or challenging to (re) …

Machine Learning-Based Horizontal Well Placement Optimization Leveraging Geological and Engineering Attributes

A Salehi, H Darabi, A Kianinejad - Abu Dhabi International Petroleum …, 2022 - onepetro.org
Horizontal wells provide a highly efficient way to maximize contact with the reservoir target
and to increase overall recovery by allowing a larger drainage pattern. Traditionally, the …

[ΑΝΑΦΟΡΑ][C] Artificial-Intelligence Based Horizontal Well Placement Optimization Leveraging Geological and Engineering Attributes, and Expert-Based Workflows

L Deng, A Salehi, W Benhallam, H Darabi… - … at Oil and Gas West Asia, 2022 - SPE