New simulation framework for flow modeling of complex physical system

A novel simulation framework for simulating flow in porous media for mixtures having an arbitrary number of phases will be presented. The behavior of components in any phase is computed using mixed phase equilibrium assumptions. This type of simulation is very important for modeling of natural and industrial processes, such as development of natural hydrocarbon resources, including gas-hydrates, CO2 injection into hydrocarbon reservoirs and saline aquifers, and for modeling of thermal processes. We use a Fully Implicit (FI) time approximation with general extension to the Adaptive Implicit Method (AIM) using flexible algebraic reduction. The framework is built on top of an Automatic Differentiation with Expression Templates Library (ADETL) which generates the corresponding derivatives for any nonlinear relation and helps to construct Jacobian matrix for the nonlinear solver. In this framework we manage to keep a unified computational structure for different compositional formulations and complex physical models, including thermal. Phase behavior for the new framework is calculated using standard multiphase flash with initial conditions (stability analysis) based on Compositional Space Parameterization (CSP), which helps to improve both efficiency and robustness of the standard Equation of State (EoS) computations. The general extension of two-phase variable substitution is used to handle the phase appearance and disappearance for systems with arbitrary numbers of phases. Examples will be presented including different types of CO2 injection in a hydrocarbon reservoir, such as miscible and immiscible two-phase CO2 injection, thermal injection of CO2+steam (three phase), and cold CO2 injection (three phase with the second liquid CO2-rich phase). Dr. Voskov joined Stanford University in 2005. He is currently a Senior Physical Research Associate in the Energy Resource Engineering Department. He received both his MSc (1998) and PhD (2002) degrees from Gubkin Russian University of Oil and Gas, all in Applied Mathematics. Dr. Voskov is a leading researcher in the thermal compositional simulation project. He is involved into development of General Purpose Research Simulator (GPRS) – the main research tool at Energy Resource Engineering Department. Dr. Voskov formerly worked at YUKOS Company as a leading specialist of Software Development Department (2002-2005). He was principal developer of the YUKOS in-house reservoir simulator and participated in several Field Development Projects. Prior to that, he worked at the Institute for Problems in Mechanics within the Russian Academy of Sciences as Senior an Engineer-Mathematician and participated in several projects with Schlumberger Geoquest

Fully Compositional Multi-Scale Reservoir Simulation of Various CO\u3csub\u3e2\u3c/sub\u3e Sequestration Mechanisms

A multi-scale reservoir simulation framework for large-scale, multiphase flow with mineral precipitation in CO2-brine systems is proposed. The novel aspects of this reservoir modeling and simulation framework are centered around the seminal coupling of rigorous reactive transport with full compositional modeling and consist of (1) thermal, multi-phase flow tightly coupled to complex phase behavior, (2) the use of the Gibbs-Helmholtz Constrained (GHC) equation of state, (3) the presence of multiple homogeneous/heterogeneous chemical reactions, (4) the inclusion of mineral precipitation/dissolution, and (5) the presence of homogeneous/heterogeneous formations. The proposed modeling and simulation framework is implemented using the ADGPRS/GFLASH system. A number of examples relevant to CO2 sequestration including salt precipitation and solubility/mineral trapping are presented and geometric illustrations are used to elucidate key attributes of the proposed modeling framework

Big Data, Internet of Things, Augmented Reality: technology convergence in visualization issues

The paper reviews the current situation of the Augmented Reality and Internet of Things markets. The implementing possibilities of AR for Big Data visualization from IoT devices are considered in this paper. The review and the analysis of methods, tools, products and data system of the visualization are presented. The paper provides an overview of the programs and devices of Augmented Reality, and an overview of development environments. The paper presents the existing classifications of computerized data visualization tools and proposes new classification, which takes into account interactive visualization, the purpose of the tool, the type of software product, the availability of ready-made templates, and other characteristics. The work results can be used for further research in the fields of the Internet of Things and visualization of Big Data through Augmented Reality.The publication was prepared within the framework of the Academic Fund Program at the National Research University Higher School of Economics (HSE) in 2019– 2020 (grant No 19-04-022) and by the Russian Academic Excellence Project "5-100"

Location-Based Protocol for the Pairwise Authentication in the Networks without Infrastructure

In this paper, we consider security issues arising in the development of the wireless networks without infrastructure, with the rapidly changing composition of the elements of such a network The LEAP Initial Protection (LEAP-IP) protocol proposed, which closes the vulnerability of the LEAP at the network initialization stage. Advanced LEAP-IP protocol allows to resist attacks on the radio channel, physical attacks on the device, and is energy efficient, that is especially important for devices with a limited power resource. Also, a classification of self-organizing networks and some variants of using the proposed pairwise authentication protocol is presented

Data for: Fast methods of Debye-Hückel limiting slopes calculation and low-temperature extrapolation based on IAPWS equation of state of water

This dataset consists of two parts:1) Tabulated values for the Debye-Hückel limiting slopes (Aphi, AH/(RT), AC/R, AV, AE, AK) obtained by means of IAPWS equations of state for water. They are stored in .csv files.2) Software (IAPWS-DH library) that allows to calculate the Debye-Hückel limiting slopes using IAPWS95, IAPWS-IF97 equations. It also supports some other popular equations set (Archer-1990, Bradley&Pitzer-1979). This computer program is written in ANSI C and is cross-platform; at least MS Windows, GNU/Linux and DOS platforms are supported.The tables were calculated next way:* At T>=273.15: direct usage of IAPWS95 equation.* At T<273.15: usage of high-accurate approximation of IAPWS95 equation by means of 2D orthogonal polynomials (to overcome numerical differentiation accuracy problems).This approach allows to obtain the Debye-Hückel coefficients values for a very low temperature down to about 150 K that can be useful in thermodynamic modelling of very concentrated aqueous solutions using such models as Pitzer, eNRTL or eUNIQUAC models