Researchers at the University of Calgary have developed a novel algorithm to more accurately determine the physical properties of oil reservoirs than widely employed methods such as linear and non-linear regression analysis. By employing a combination of fuzzy ranking and artificial neural networks, Dr. Wang’s group demonstrates that they can accurately model reservoir characteristics such as p...

In this work, studies of underground gas storage (UGS) were performed on a partially depleted, naturally fractured gas reservoir through compositional simulation. Reservoir dynamic model was calibrated by history matching of about 20 years of researvoir production. Effects of fracture parameters, i.e. fracture shape factor, fracture permeability and porosity were studied. Results show...

Abstract: The oil recovery factor from shale oil remains low, about 5 to 7% of the oil in place. How to increase oil recovery from shale oil reservoirs is attracting more and more attention. CO2 huff-and-puff was historically considered one of the best approaches to improve the oil rate. Most previous simulation studies have been based on dual porosity, but simulation results from dual-porosity...

Porosity is one of the key parameters associated with oil reservoirs. Determination of this petrophysical parameter is an essential step in reservoir characterization. Among different linear and nonlinear prediction tools such as multi-regression and polynomial curve fitting, artificial neural network has gained the attention of researchers over the past years. In the present study, two-dimensi...

Elemental sulfur (S8) is often present in considerable amounts in sour gas reservoirs at the reservoir conditions (pressure and temperature). For the isothermal conditions in the reservoir, the reduction in reservoir pressure below a critical value will cause the elemental sulfur to deposit in the formation. Sulfur deposition can cause severe loss in the pore space available for gas, and in tur...

porosity is one of the fundamental petrophysical properties that should be evaluated for hydrocarbon bearing reservoirs. it is a vital factor in precise understanding of reservoir quality in a hydrocarbon field. log data are exceedingly crucial information in petroleum industries, for many of hydrocarbon parameters are obtained by virtue of petrophysical data. there are three main petrophysical...

Grain size distribution (sorting) is determined by deposition. It may affect sediment bulk and elastic properties in a non-linear and non-unique way. The quantification of these relations is important for seismic reservoir characterization, especially in geological settings where sand/shale (bimodal) mixtures are present. Below, effective-medium equations are introduced for calculating the poro...

Natural reservoirs exhibit high degree of spatial variability in their properties in multiple length scales. It has been established that such variability has a strong impact in determining fluid flow patterns in subsurface formations. Direct measurements of reservoir properties are only available at a small number of locations. Without an adequate description of the formation properties, such ...

Understanding acoustic velocities of sedimentary deposits is crucial for realistic subsurface imaging. The rely on mineralogy, density, as well pore volume (porosity) and structure. In carbonate rocks, both depositional diagenetic histories exert a significant control these characteristics. order to determine this control, petrographic analysis (thin sections) associated with the content, grain...

We present a stochastic analysis of immiscible two-phase flow ~Buckley–Leverett displacement! in heterogeneous reservoirs. Since the detailed spatial variabilities of reservoir properties such as permeability and porosity cannot be described deterministically, both permeability and porosity, or either, are treated as random space functions. In turn, water saturation and oil production rate are ...