Enhanced oil recovery using nitrogen injection is a commonly applied method for pressure maintenance in conventional reservoirs. Numerical simulations can be practiced for the prediction of a reservoir performance in the course of injection process; however, a detailed simulation might take up enormous computer processing time. In such cases, a simple statistical model may be a good approach to...

Reservoir Computing is a novel technique which employs recurrent neural networks while circumventing difficult training algorithms. A very recent trend in Reservoir Computing is the use of real physical dynamical systems as implementation platforms, rather than the customary digital emulations. Physical systems operate in continuous time, creating a fundamental difference with the classic discr...

Sarvak formation, with the middle cretaceous (Cenomanian) age, is one of the stratigraphic units of the Bangestan group in the southern Iran. The carbonate rocks of this formation form the reservoir rock in the study field. Generally, Sarvak formation is subdivided into three members including Mishrif, Khatiyah, and Maddud in the Persian Gulf, and the average thickness of the reservoir unit (i....

the direct way to access the petrophysical property of hydrocarbon reservoir is based on well data but due to its high cost, the seismic data has been used to obtain these parameters. for this purpose, many different methods are available and each has its own advantages and limitations. from these methods the seismic inversion is the best tool to study the reservoir characterization. the outcom...

Reservoir computing is a recently introduced brain-inspired machine learning paradigm capable of excellent performances in the processing of empirical data. We focus in a particular kind of time-delay based reservoir computers that have been physically implemented using optical and electronic systems and have shown unprecedented data processing rates. Reservoir computing is well-known for the e...

â understanding the flow behaviour in a gas well is crucial for future production strategies, obtaining bottomhole conditions from wellhead production data, analyzing production data and estimating reservoir properties. in this work, the pressure profile and flow regime are studied on four wells of a multi-well, multi-layer gas-condensate reservoir, producing at high rate. the wells are deviate...

avo analysis is a technique which is widely used in industry and is applied on seismic prestack data. results from changes in seismic wave reflection amplitude versus offset can be used in extracting elastic properties and hence lithology and reservoirs pore fluid identification. before performing avo analysis studies, processing steps should be ensured that changes in reflection amplitude are ...

Evaluation of hydrocarbon reservoir requires classification of petrophysical properties from available dataset. However, characterization of reservoir attributes is difficult due to the nonlinear and heterogeneous nature of the subsurface physical properties. In this context, present study proposes a generalized one class classification framework based on Support Vector Data Description (SVDD) ...

Proper determination of bed boundaries in layered reservoirs is vital ‎for accurate petrophysical interpretation of conventional logs. In the ‎wellbore, logs continuously measure physical properties of reservoir ‎while the properties change stepwise. This continuous representation ‎of logs may lead to ignorance of some high potential reservoir zones. ‎The main reasons for continuous nature of l...

enhanced oil recovery using nitrogen injection is a commonly applied method for pressuremaintenance in conventional reservoirs. numerical simulations can be practiced for the prediction ofa reservoir performance in the course of injection process; however, a detailed simulation might takeup enormous computer processing time. in such cases, a simple statistical model may be a goodapproach to the...