We combine a new pore-scale model with a reservoir simulation algorithm to predict gas production in gas-bearing shales. It includes an iterative verification method of surface mass balance to ensure real-time desorption-adsorption equilibrium with gas production. The pore-scale model quantifies macroscopic petrophysical properties of formations using an algorithm of gas transport in porous med...

Measurement of fault rock and seal rock flow properties presents considerable problems, even in the controlled conditions of the laboratory. Estimating of the sealing capacity and rate of leakage across faults or shale layers is an even greater challenge. The purpose of this contribution is to examine, with examples, how a combination of existing and novel petrophysical methods could reduce unc...

One of the main challenges of geostatistics in reservoir characterization is to populate a portion of 3-D earth model with its petrophysical properties. This operation must be carried out while still honoring the information available along well logs: in our jargon, we say that it must be conditional. No restriction is required on this conditioning information, either in number or in its geomet...

Abstract Downhole data and cores collected during International Ocean Discovery Program (IODP) Expedition 376 at Brothers volcano, Kermadec arc, provide unprecedented, in situ views of volcanic facies fluid pathways an actively forming volcanogenic massive sulfide (VMS) ore deposit. volcano is a submarine caldera with extensive sea floor hydrothermal alteration. were two holes: Hole U1530A the ...

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) ...

Abstract Because of their extreme heterogeneity at multiple scales, carbonate rocks present a great challenge for studying and managing oil reservoirs. Depositional processes diagenetic alterations carbonates may have produced very complex pore structures and, consequently, variable fluid storage flow properties hydrocarbon To understand the impact mineralogy on system, we analyzed four rock sa...

Estimation of reservoir water saturation (Sw) is one of the main tasks in well logging. Many empirical equations are available, which are, more or less, based on Archie equation. The present study is an application of Radial Basis Function Neural Network (RBFNN) modeling for estimation of water saturation responses in a carbonate reservoir. Four conventional petrophysical logs (PLs) including D...

accurate estimation of hydrocarbon volume in a reservoir is important due to future development and investment on that reservoir. estimation of oil and gas reservoirs continues from exploration to end of reservoir time life and is usual upstream engineer’s involvements. in this study we tried to make reservoir properties models (porosity and water saturation) and estimate reservoir volume hydro...

The determination of porosity heterogeneity within hydrocarbon reservoirs is important because cost-effective, efficient production of hydrocarbons depends on accurate knowledge of reserve estimates, and hydrocarbon distribution. A new magnetic resonance imaging (MRI) technique, based on the conical SPRITE (Single-Point Ramped Imaging with T1 Enhancement) MRI method is capable of revealing the ...

3D tomographic data at various scales is increasingly available through the wide adoption of CT (Micro Computed Tomography) and FIB-SEM (Focused Ion Beam Scanning Electron Microscopy) technologies. However, upscaling these observations is very challenging. This paper provides a template of an upscaling protocol between FIB-SEM data on a micron sized sample and CT data on the same sample regio...