Dynamic optimization of waterflooding with smart wells using optimal control theory
DR Brouwer, JD Jansen - SPE journal, 2004 - onepetro.org
We used optimal control theory as an optimization algorithm for the valve settings in smart
wells. We focused on their use in injectors and producers for the waterflooding of …
wells. We focused on their use in injectors and producers for the waterflooding of …
Reservoir management employing smart wells: a review
CA Glandt - SPE Drilling & Completion, 2005 - onepetro.org
A well equipped with intelligent components is considered" smart" only whenit maximizes its
value over the life of the project. The definition of the adequate level of intelligence is the …
value over the life of the project. The definition of the adequate level of intelligence is the …
Production optimization in closed-loop reservoir management
C Wang, G Li, AC Reynolds - SPE journal, 2009 - onepetro.org
In closed-loop reservoir management, one periodically updates reservoir models by
integrating production data and then solves an optimal control problem to determine …
integrating production data and then solves an optimal control problem to determine …
Active CO2 reservoir management for carbon storage: Analysis of operational strategies to relieve pressure buildup and improve injectivity
For industrial-scale CO2 injection in saline formations, pressure buildup can limit storage
capacity and security. Active CO2 Reservoir Management (ACRM) combines brine …
capacity and security. Active CO2 Reservoir Management (ACRM) combines brine …
Real-time production optimization of oil and gas production systems: A technology survey
This is a noncritical survey of key literature in the field of real-time production optimization of
oil and gas production. The information flow used for optimization of the system is described …
oil and gas production. The information flow used for optimization of the system is described …
Optimal waterflood management using rate control
AH Alhuthali, A Oyerinde, A Datta-Gupta - SPE Reservoir Evaluation & …, 2007 - onepetro.org
Field-scale rate optimization problems often involve highly complex reservoir models,
production-and-facilities related constraints, and a large number of unknowns. These factors …
production-and-facilities related constraints, and a large number of unknowns. These factors …
Machine learning based rate optimization under geologic uncertainty
We propose a novel approach for rate optimization during a waterflood under geologic
uncertainty in reservoir properties such as permeability and porosity. The traditional …
uncertainty in reservoir properties such as permeability and porosity. The traditional …
Waterflood Optimization: Review on Gradient-Ensemble Based Optimizers and Data Driven Proxies.
MK Marvin, AB Ngulde… - Journal of Engineering …, 2023 - search.ebscohost.com
Waterflooding is the most common secondary recovery technique used in oil and gas
industries today, owing to its cheap investment cost and easy implementation. However …
industries today, owing to its cheap investment cost and easy implementation. However …
Optimization of smart well control
Downhole inflow control devices allow for the flexible operation of nonconventional wells.
They provide the ability to independently control each branch of a multilateral well and can …
They provide the ability to independently control each branch of a multilateral well and can …
Self-learning reservoir management
In this work, we present an industrial automation framework for control and optimization of
hydrocarbon-producing fields while satisfying business and physical constraints. The all …
hydrocarbon-producing fields while satisfying business and physical constraints. The all …