Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models
Abstract The advent of Artificial Intelligence (AI) in the petroleum industry has seen an
increase in its use in exploration, development, production, reservoir engineering and …
increase in its use in exploration, development, production, reservoir engineering and …
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 …
Forecasting oil production using ensemble empirical model decomposition based Long Short-Term Memory neural network
W Liu, WD Liu, J Gu - Journal of Petroleum Science and Engineering, 2020 - Elsevier
Oil production forecasting is an important means of understanding and effectively
developing reservoirs. Reservoir numerical simulation is the most mature and effective …
developing reservoirs. Reservoir numerical simulation is the most mature and effective …
Development and application of a machine learning based multi-objective optimization workflow for CO2-EOR projects
Abstract Carbon dioxide-Enhanced Oil Recovery (CO 2-EOR) is known as one of techniques
for hydrocarbon production improvement as wells as an important candidate to reduce …
for hydrocarbon production improvement as wells as an important candidate to reduce …
[HTML][HTML] Application of artificial intelligence to forecast hydrocarbon production from shales
Artificial intelligence (AI) methods and applications have recently gained a great deal of
attention in many areas, including fields of mathematics, neuroscience, economics …
attention in many areas, including fields of mathematics, neuroscience, economics …
Determination of bubble point pressure & oil formation volume factor of crude oils applying multiple hidden layers extreme learning machine algorithms
An important requirement of reservoir management is to understand the properties of
reservoir fluids and dependent phase behaviors. This makes it possible to determine the …
reservoir fluids and dependent phase behaviors. This makes it possible to determine the …
Determination of bubble point pressure and oil formation volume factor: Extra trees compared with LSSVM-CSA hybrid and ANFIS models
Successful field development relies on effective reservoir management, which, in turn, is, to
a great extent, influenced by the knowledge of reservoir fluid properties and phase …
a great extent, influenced by the knowledge of reservoir fluid properties and phase …
Data-driven model for hydraulic fracturing design optimization: Focus on building digital database and production forecast
AD Morozov, DO Popkov, VM Duplyakov… - Journal of Petroleum …, 2020 - Elsevier
Growing amount of hydraulic fracturing (HF) jobs in the recent two decades resulted in a
significant amount of measured data available for development of predictive models via …
significant amount of measured data available for development of predictive models via …
Computational prediction of the drilling rate of penetration (ROP): A comparison of various machine learning approaches and traditional models
E Brenjkar, EB Delijani - Journal of Petroleum Science and Engineering, 2022 - Elsevier
Rate of penetration (ROP) prediction, can assist precise planning of drilling operations and
can reduce drilling costs. However, easy estimation of this key factor by traditional or …
can reduce drilling costs. However, easy estimation of this key factor by traditional or …
A comparative analysis of bubble point pressure prediction using advanced machine learning algorithms and classical correlations
The need for fluid properties or PVT (Pressure-Volume-Temperature) properties, is part of
the entire Exploration and Production (E&P) lifecycle from exploration to mature asset …
the entire Exploration and Production (E&P) lifecycle from exploration to mature asset …