A systematic review of data science and machine learning applications to the oil and gas industry
This study offered a detailed review of data sciences and machine learning (ML) roles in
different petroleum engineering and geosciences segments such as petroleum exploration …
different petroleum engineering and geosciences segments such as petroleum exploration …
[HTML][HTML] A survey on the application of machine learning and metaheuristic algorithms for intelligent proxy modeling in reservoir simulation
Abstract Machine Learning (ML) has demonstrated its immense contribution to reservoir
engineering, particularly reservoir simulation. The coupling of ML and metaheuristic …
engineering, particularly reservoir simulation. The coupling of ML and metaheuristic …
Application of artificial neural network for predicting the performance of CO2 enhanced oil recovery and storage in residual oil zones
Abstract Residual Oil Zones (ROZs) become potential formations for Carbon Capture,
Utilization, and Storage (CCUS). Although the growing attention in ROZs, there is a lack of …
Utilization, and Storage (CCUS). Although the growing attention in ROZs, there is a lack of …
A recurrent neural network–based proxy model for well-control optimization with nonlinear output constraints
In well-control optimization problems, the goal is to determine the time-varying well settings
that maximize an objective function, which is often the net present value (NPV). Various …
that maximize an objective function, which is often the net present value (NPV). Various …
Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part II
A Samnioti, V Gaganis - Energies, 2023 - mdpi.com
In recent years, Machine Learning (ML) has become a buzzword in the petroleum industry,
with numerous applications which guide engineers in better decision making. The most …
with numerous applications which guide engineers in better decision making. The most …
Impact of newly implemented enhanced oil and gas recovery screening policy on current oil production and future energy supply in India
A significant amount of current oil production in India comes from the matured fields.
Insufficient discovery of new oil and gas fields raises a momentous issue for the demand of …
Insufficient discovery of new oil and gas fields raises a momentous issue for the demand of …
Multi-solution well placement optimization using ensemble learning of surrogate models
Well location optimization aims to maximize the economic profit of oil and gas field
development while respecting various constraints. The limitations of the currently available …
development while respecting various constraints. The limitations of the currently available …
Artificial-neural-network (ANN) based proxy model for performances forecast and inverse project design of water huff-n-puff technology
Water huff-n-puff is an effective improved oil recovery (IOR) technology for tight or low-
permeability reservoirs which are developed by fractured horizontal wells. This paper trains …
permeability reservoirs which are developed by fractured horizontal wells. This paper trains …
A machine learning‐based approach to the multiobjective optimization of CO2 injection and water production during CCS in a saline aquifer based on field data
The presence of carbon capture and storage (CCS) projects is important due to the growing
production of greenhouse gases, especially carbon dioxide (CO2). Our target functions have …
production of greenhouse gases, especially carbon dioxide (CO2). Our target functions have …
A review of tracer testing techniques in porous media specially attributed to the oil and gas industry
The significance of the tracer testing technique is widely accepted in reservoir performance
analysis in hydrology as well as in hydrocarbon exploration and production. The subsurface …
analysis in hydrology as well as in hydrocarbon exploration and production. The subsurface …