The internet of things in the oil and gas industry: a systematic review
The low oil price environment is driving the oil and gas (O&G) industry to become more
innovative and deploy smart field technologies, to increase operational and asset efficiency …
innovative and deploy smart field technologies, to increase operational and asset efficiency …
[PDF][PDF] Application of artificial intelligence methods in drilling system design and operations: a review of the state of the art
O Bello, J Holzmann, T Yaqoob… - Journal of Artificial …, 2015 - sciendo.com
Artificial Intelligence (AI) can be defined as the application of science and engineering with
the intent of intelligent machine composition. It involves using tool based on intelligent …
the intent of intelligent machine composition. It involves using tool based on intelligent …
Integration of microseismic fracture map** results with numerical fracture network production modeling in the Barnett shale
MJ Mayerhofer, EP Lolon, JE Youngblood… - SPE Annual Technical …, 2006 - onepetro.org
This paper presents the results of integrating microseismic fracture map** with numerical
production modeling of fracture networks in the Barnett shale. Microseismic fracture …
production modeling of fracture networks in the Barnett shale. Microseismic fracture …
Performance forecasting for polymer flooding in heavy oil reservoirs
As a supply for future fuel and energy demand, 95% of the bitumen deposits in North
America are expected to become a major source. The Steam Assisted Gravity Drainage …
America are expected to become a major source. The Steam Assisted Gravity Drainage …
Support apparatus, method and system for real time operations and maintenance
JG Buchan - US Patent 7,584,165, 2009 - Google Patents
An apparatus, system and method for facilitating decision-making in connection with
management of enterprise assets are disclosed. A real time expert decision support module …
management of enterprise assets are disclosed. A real time expert decision support module …
Permeability prediction of low-resolution porous media images using autoencoder-based convolutional neural network
Permeability prediction of porous media from numerical approaches is an important
supplement for experimental measurements with the benefits of being more economical and …
supplement for experimental measurements with the benefits of being more economical and …
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 …
Half a century experience in rate of penetration management: Application of machine learning methods and optimization algorithms-A review
M Najjarpour, H Jalalifar… - Journal of Petroleum …, 2022 - Elsevier
Rate of penetration (ROP) management is a matter of importance in drilling operations and it
has been considered in different studies. Different machine learning methods such as …
has been considered in different studies. Different machine learning methods such as …
Application of artificial intelligence techniques in drilling system design and operations: a state of the art review and future research pathways
Artificial Intelligence (AI) has found extensive usage in simplifying complex decision-making
procedures in practically every competitive market field, and oil and gas upstream industry is …
procedures in practically every competitive market field, and oil and gas upstream industry is …
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 …