Geologic CO2 sequestration monitoring design: A machine learning and uncertainty quantification based approach
Monitoring is a crucial aspect of geologic carbon dioxide (CO 2) sequestration risk
management. Effective monitoring is critical to ensure CO 2 is safely and permanently stored …
management. Effective monitoring is critical to ensure CO 2 is safely and permanently stored …
A review on closed-loop field development and management
A Mirzaei-Paiaman, SMG Santos… - Journal of Petroleum …, 2021 - Elsevier
Closed-loop field development and management (CLFDM) is defined as a periodic update
of an uncertain field model using the latest measurements (data assimilation), followed by …
of an uncertain field model using the latest measurements (data assimilation), followed by …
Efficient hierarchical surrogate-assisted differential evolution for high-dimensional expensive optimization
Surrogate-assisted evolutionary algorithms have gained increasingly attention due to the
promising search capabilities for solving computationally expensive optimization problems …
promising search capabilities for solving computationally expensive optimization problems …
Global and local surrogate-model-assisted differential evolution for waterflooding production optimization
Surrogate models, which have become a popular approach to oil‐reservoir production‐
optimization problems, use a computationally inexpensive approximation function to replace …
optimization problems, use a computationally inexpensive approximation function to replace …
Robust life-cycle production optimization with a support-vector-regression proxy
Z Guo, AC Reynolds - Spe Journal, 2018 - onepetro.org
We design a new and general work flow for efficient estimation of the optimal well controls
for the robust production-optimization problem using support-vector regression (SVR) …
for the robust production-optimization problem using support-vector regression (SVR) …
A deep learning-accelerated data assimilation and forecasting workflow for commercial-scale geologic carbon storage
Fast assimilation of monitoring data to update forecasts of pressure buildup and carbon
dioxide (CO 2) plume migration under geologic uncertainties is a challenging problem in …
dioxide (CO 2) plume migration under geologic uncertainties is a challenging problem in …
Smart proxy models art and future directions in the oil and gas industry: A review
This paper presents a review of the state of the art of proxy models application in the oil and
gas industry from upstream, midstream, and downstream. The focus on proxy models is …
gas industry from upstream, midstream, and downstream. The focus on proxy models is …
Multiscale random pore network modeling of oil-water two-phase slip flow in shale matrix
The large-scale hydraulic fracturing technology is commonly employed to significantly
improve oil recovery in shale. An exceptional phenomenon from many field tests is worthy of …
improve oil recovery in shale. An exceptional phenomenon from many field tests is worthy of …
A novel multi-objective optimization method for well control parameters based on PSO-LSSVR proxy model and NSGA-II algorithm
Single-objective well control problems have been studied for many years as one of the most
typical optimization problems by researchers worldwide. However, single-objective …
typical optimization problems by researchers worldwide. However, single-objective …
Surrogate-reformulation-assisted multitasking knowledge transfer for production optimization
Data-driven surrogate models, which are trained by samples to replace time-consuming
numerical simulations, have been widely used to solve production optimization problems in …
numerical simulations, have been widely used to solve production optimization problems in …