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Deep-learning-based automated stratigraphic correlation
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 …
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
Managing unconventional assets necessitates accurate production forecasting.
Traditionally, Decline Curve Analysis (DCA) and statistical type curves are used to estimate …
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
Streamline-based methods, as repeatedly demonstrated in multiple applications, offer a
robust and elegant framework for reconciling high-resolution geologic models with observed …
robust and elegant framework for reconciling high-resolution geologic models with observed …
A Data-Driven Workflow for Identifying Optimum Horizontal Subsurface Targets
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 …
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
Horizontal wells placement and production forecast of unconventional assets play critical
roles in the success or failure of any given operation. Traditional reservoir simulation …
roles in the success or failure of any given operation. Traditional reservoir simulation …
Smart reservoir management in the oil and gas industry
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 …
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
Conventional approaches such as operational spreadsheets and reservoir simulation are
ineffective for actively managing waterflooding; either too simplistic or challenging to (re) …
ineffective for actively managing waterflooding; either too simplistic or challenging to (re) …
Machine Learning-Based Horizontal Well Placement Optimization Leveraging Geological and Engineering Attributes
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 …
and to increase overall recovery by allowing a larger drainage pattern. Traditionally, the …