A review on application of data-driven models in hydrocarbon production forecast

C Cao, P Jia, L Cheng, Q **, S Qi - Journal of Petroleum Science and …, 2022 - Elsevier
The accurate estimation of production is the bottleneck technique that constraints the
efficient development of oil and gas fields. However, such multivariate and asymmetric …

Foam generation in homogeneous porous media

PA Gauglitz, F Friedmann, SI Kam… - Chemical engineering …, 2002 - Elsevier
In steady gas–liquid flow in homogeneous porous media with surfactant present, there is
often observed a critical injection velocity or pressure gradient∇ pmin at which “weak” or …

A critical overview of artificial neural network applications in the context of continuous oil field optimization

L Saputelli, H Malki, J Canelon… - SPE Annual Technical …, 2002 - onepetro.org
A number of new technologies introduced into the oil field over the last couple of decades
now provide the hardware basis for continuous field-wide optimization (CFO). CFO will …

Reservoir properties determination using fuzzy logic and neural networks from well data in offshore Korea

JS Lim - Journal of Petroleum Science and Engineering, 2005 - Elsevier
Petroleum reservoir characterization is a process for quantitatively describing various
reservoir properties in spatial variability using all the available field data. Porosity and …

An innovative neural forecast of cumulative oil production from a petroleum reservoir employing higher-order neural networks (HONNs)

NC Chakra, KY Song, MM Gupta, DN Saraf - Journal of Petroleum Science …, 2013 - Elsevier
Precise and consistent production forecasting is indeed an important step for the
management and planning of petroleum reservoirs. A new neural approach to forecast …

Predicting injection profiles using ANFIS

M Wei, B Bai, AH Sung, Q Liu, J Wang, ME Cather - Information Sciences, 2007 - Elsevier
Decision making pertaining to injection profiles during oilfield development is one of the
most important factors that affect the oilfields' performance. Since injection profiles are …

Reservoir porosity and permeability estimation from well logs using fuzzy logic and neural networks

JS Lim, J Kim - SPE Asia Pacific Oil and Gas Conference and …, 2004 - onepetro.org
Petroleum reservoir characterization is a process for quantitatively describing various
reservoir properties in spatial variability using all the available field data. Porosity and …

Neuro-fuzzy system to predict permeability and porosity from well log data: A case study of Hassi R׳ Mel gas field, Algeria

T Aïfa, R Baouche, K Baddari - Journal of Petroleum Science and …, 2014 - Elsevier
Abstract Characterization of shaly sand reservoirs by well log data is a usual way of
describing oil/gas field reservoirs. Over the last few years, several studies have been …

Estimation of NMR log parameters from conventional well log data using a committee machine with intelligent systems: A case study from the Iranian part of the South …

MM Labani, A Kadkhodaie-Ilkhchi… - Journal of Petroleum …, 2010 - Elsevier
Nuclear Magnetic Resonance (NMR) log provides useful information for petrophysical study
of the hydrocarbon bearing intervals. Free fluid porosity (effective porosity), rock permeability …

Support vector machines framework for predicting the PVT properties of crude-oil systems

E El-Sebakhy, T Sheltami, S Al-Bokhitan… - SPE Middle East oil …, 2007 - onepetro.org
PVT properties are very important in the reservoir engineering computations. There are
many empirical approaches for predicting various PVT properties using regression models …