flow unit characterization plays an important role in heterogeneity analysis and reservoir simulation studies. usually, a correct description of the lateral variations of reservoir is associated with uncertainties. from this point of view, the well data alone does not cover reservoir properties. because of large well distances, it is difficult to build the model of a heterogenic reservoir, but ...

Flow unit characterization plays an important role in heterogeneity analysis and reservoir simulation studies. Usually, a correct description of the lateral variations of reservoir is associated with uncertainties. From this point of view, the well data alone does not cover reservoir properties. Because of large well distances, it is difficult to build the model of a heterogenic reservoir, but ...

Investigation of pore system properties of carbonate reservoirs has an important role in evaluating the reservoir quality and delineating high production intervals. The current study proposes a three-step approach for pore throat size characterization of these reservoirs, by integrating core data, well logs and 3D seismic volume. In this respect, first the pore throats size was calculated using...

Intelligent reservoir characterization using seismic attributes and hydraulic flow units has a vital role in the description of oil and gas traps. The predicted model allows an accurate understanding of the reservoir quality, especially at the un-cored well location. This study was conducted in two major steps. In the first step, the survey compared different intelligent techniques to discover ...

Paradigm shift in hydrocarbon exploration and development strategies has increased utilization of seismic data many fold for reservoir characterization. Complicated and nonlinear relationship between seismic attributes and reservoir properties has been addressed recently using artificial neural network techniques for lithofaices classification and prediction of reservoir properties through unsu...

Seismic reservoir characterization is a well-known technique to obtain a better understanding of hydrocarbon-bearing reservoirs by careful analysis and integration of petrophysical and seismic data. The petrophysical properties are normally obtained through the evaluation of well logs and core data. A rock physics model provides the link between these reservoir properties and the surface seismi...

Varied data types including geophysical data as well as well logs have been used frequently in the past to characterize reservoirs. However, the use of microseismic data as a potential source of useful information and its integration with conventional seismic data for reservoir characterization is an area of opportunity where properties predicted from the microseismic data can be used as a vita...

The main objective of this work is to present a new methodology for seismic reservoir characterization that provides fine-scaled reservoir models of facies and reservoir properties, such as porosity, net-to-gross, and, possibly, fluid saturation. The proposed iterative methodology is based on sequential simulations of discrete variables, namely sequential indicator simulation, and a stochastic ...

A large-scale data set including time-lapse (4D) elastic attributes and electrical resistivity is generated with the purpose of testing algorithms for reservoir modeling, reservoir characterization, production forecasting, and especially joint time-lapse monitoring using seismic as well as electromagnetic data. The Stanford VI reservoir, which was originally created by Castro et al. (2005), is ...

Today, the major challenge in reservoir characterization is integrating data coming from different sources in varying scales, in order to obtain an accurate and high-resolution reservoir model. The role of seismic data in this integration is often limited to providing a structural model for the reservoir. Its relatively low resolution usually limits its further use. However, its areal coverage ...