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 …
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 …
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
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 …
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 …
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)
Precise and consistent production forecasting is indeed an important step for the
management and planning of petroleum reservoirs. A new neural approach to forecast …
management and planning of petroleum reservoirs. A new neural approach to forecast …
Predicting injection profiles using ANFIS
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 …
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 …
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
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 …
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 …
Nuclear Magnetic Resonance (NMR) log provides useful information for petrophysical study
of the hydrocarbon bearing intervals. Free fluid porosity (effective porosity), rock permeability …
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
PVT properties are very important in the reservoir engineering computations. There are
many empirical approaches for predicting various PVT properties using regression models …
many empirical approaches for predicting various PVT properties using regression models …