Hybrid functional networks for oil reservoir PVT characterisation
نویسندگان
چکیده
منابع مشابه
Oil Reservoir Properties Estimation Using Neural Networks
This paper investigates the applicability as wel{ as the accuracy of artificial neural networks for estimating specific parameters that describe reservoir properties based on seismic data, Our approach relies on JPL’s adjoint operators general purpose neural network code to determine the best suited architecture, We believe that results presented l; this work demonstrate that artificial neural ...
متن کاملHybrid Soft Computing for PVT Properties Prediction
Pressure-Volume-Temperature (PVT) properties are very important in the reservoir engineering computations. There are many approaches for predicting various PVT properties based on empirical correlations and statistical regression models. Last decade, researchers utilized neural networks to develop more accurate PVT correlations. These achievements of neural networks open the door to data mining...
متن کاملFabrication and characterisation of lavender oil - plant phospholipid based Sumatriptan succinate hybrid solid lipid nanoparticles.
Background: Nanostructured lipid carriers (NLCs) of sumatriptan succinate (SS) were prepared by using lavender oil. In ancient days, lavender oil was used for the treatment of a migraine. The natural anti-migraine agent, lavender oil, combined with an anti-migraine drug such as SS in a nano-formulation, will be a practical alternative approach in migraine therapy. Objective: NLCs of sumatri...
متن کاملHybrid networks based on epoxidized camelina oil
Lately, renewable resources received great attention in the macromolecular compounds area, regarding the design of the monomers and polymers with different applications. In this study the capacity of several modified vegetable oil-based monomers to build competitive hybrid networks was investigate, taking into account thermal and mechanical behavior of the designed materials. In order to synthe...
متن کاملSemi-Supervised Classification for oil reservoir
This paper addresses the general problem of accurate identification of oil reservoirs. Recent improvements in well or borehole logging technology have resulted in an explosive amount of data available for processing. The traditional methods of analysis of the logs characteristics by experts require significant amount of time and money and is no longer practicable. In this paper, we use the semi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Expert Systems with Applications
سال: 2017
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2017.06.014