Application of artificial intelligence techniques in the petroleum industry: a review
In recent years, artificial intelligence (AI) has been widely applied to optimization problems
in the petroleum exploration and production industry. This survey offers a detailed literature …
in the petroleum exploration and production industry. This survey offers a detailed literature …
Predicting the oil production using the novel multivariate nonlinear model based on Arps decline model and kernel method
X Ma, Z Liu - Neural Computing and Applications, 2018 - Springer
Prediction of petroleum production plays a key role in the petroleum engineering, but an
accurate prediction is difficult to achieve due to the complex underground conditions. In this …
accurate prediction is difficult to achieve due to the complex underground conditions. In this …
[HTML][HTML] Development of new correlations for the oil formation volume factor in oil reservoirs using artificial intelligent white box technique
Oil formation volume factor (OFVF) is considered one of the main parameters required to
characterize the crude oil. OFVF is needed in reservoir simulation and prediction of the oil …
characterize the crude oil. OFVF is needed in reservoir simulation and prediction of the oil …
Development of a new correlation for bubble point pressure in oil reservoirs using artificial intelligencetechnique
Accurate determination of the bubble point pressure is extremely important for several
applications in oil industry. In reservoir engineering applications the bubble point pressure is …
applications in oil industry. In reservoir engineering applications the bubble point pressure is …
A comparative evaluation of global search algorithms in black box optimization of oil production: A case study on Brugge field
T Foroud, A Baradaran, A Seifi - Journal of Petroleum Science and …, 2018 - Elsevier
We evaluate the application of eight different global search algorithms to the optimization of
oil production from a mature field. Our focus is on algorithms that treat the reservoir simulator …
oil production from a mature field. Our focus is on algorithms that treat the reservoir simulator …
Quantification of prediction uncertainty using imperfect subsurface models with model error estimation
Subsurface reservoirs are far more heterogeneous and complex than the simulation models
in terms of scale, assumptions and description. In this work, we address the issue of …
in terms of scale, assumptions and description. In this work, we address the issue of …
Virtual multiphase flowmetering using adaptive neuro-fuzzy inference system (ANFIS): A case study of Hai Thach-Moc Tinh field, offshore Vietnam
For any oil and gas company, well-testing and performance-monitoring programs are
expensive because of the cost of equipment and personnel. In addition, it may not be …
expensive because of the cost of equipment and personnel. In addition, it may not be …
Symmetric Nonlinear Feedback Control and Machine Learning for Sustainable Spherical Motor Operation
This paper presents a comprehensive evaluation of a new control technique for the sphere
motor system, aimed at achieving accurate tracking, robust and dispersion of vibrations …
motor system, aimed at achieving accurate tracking, robust and dispersion of vibrations …
A new look into the prediction of static Young's modulus and unconfined compressive strength of carbonate using artificial intelligence tools
Accurate estimation of rock elastic and failure parameters plays a vital role in petroleum, civil
and geotechnical engineering applications. During drilling operations, continuous logs of …
and geotechnical engineering applications. During drilling operations, continuous logs of …
[HTML][HTML] Fractured reservoir history matching improved based on artificial intelligent
SH Riazi, G Zargar, M Baharimoghadam, B Moslemi… - Petroleum, 2016 - Elsevier
In this paper, a new robust approach based on Least Square Support Vector Machine
(LSSVM) as a proxy model is used for an automatic fractured reservoir history matching. The …
(LSSVM) as a proxy model is used for an automatic fractured reservoir history matching. The …