P01: Coal Seam Miming: a new frontier for advanced real-time modeling with deep azimuthal resistivity

2021 ◽  
Author(s):  
A. Martins Vianna Neto ◽  
K. Boyce ◽  
M. Ramsay
Keyword(s):  
Coal Seam ◽  
Real Time ◽  
Time Modeling ◽  
New Frontier ◽  
Azimuthal Resistivity

scholarly journals Handling Initial Conditions in Vector Fitting for Real Time Modeling of Power System Dynamics

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2471
Author(s):  
Tommaso Bradde ◽  
Samuel Chevalier ◽  
Marco De Stefano ◽  
Stefano Grivet-Talocia ◽  
Luca Daniel
Keyword(s):  
Dynamical Systems ◽  
Power System ◽  
System Dynamics ◽  
Real Time ◽  
Initial Conditions ◽  
Test System ◽  
Initial State ◽  
Power System Dynamics ◽  
Vector Fitting ◽  
Time Modeling

This paper develops a predictive modeling algorithm, denoted as Real-Time Vector Fitting (RTVF), which is capable of approximating the real-time linearized dynamics of multi-input multi-output (MIMO) dynamical systems via rational transfer function matrices. Based on a generalization of the well-known Time-Domain Vector Fitting (TDVF) algorithm, RTVF is suitable for online modeling of dynamical systems which experience both initial-state decay contributions in the measured output signals and concurrently active input signals. These adaptations were specifically contrived to meet the needs currently present in the electrical power systems community, where real-time modeling of low frequency power system dynamics is becoming an increasingly coveted tool by power system operators. After introducing and validating the RTVF scheme on synthetic test cases, this paper presents a series of numerical tests on high-order closed-loop generator systems in the IEEE 39-bus test system.

Implementation of Vendor-Independent Stochastic Inversion for Improving Quality and Efficiency of Well Placement on the Field of Novatek Company

2021 ◽  
Author(s):  
Danil Andreevich Nemushchenko ◽  
Pavel Vladimirovich Shpakov ◽  
Petr Valerievich Bybin ◽  
Kirill Viktorovich Ronzhin ◽  
Mikhail Vladimirovich Sviridov
Keyword(s):  
Real Time ◽  
Well Placement ◽  
Stochastic Inversion ◽  
Mathematical Algorithm ◽  
Service Companies ◽  
Resistivity Data ◽  
Resistivity Logging ◽  
Azimuthal Resistivity ◽  
Logging Tool ◽  
Single Approach

Abstract The article describes the application of a new stochastic inversion of the deep-azimuthal resistivity data, independent from the tool vendor. The new model was performed on the data from several wells of the PAO «Novatek», that were drilled using deep-azimuthal resistivity tools of two service companies represented in the global oilfield services market. This technology allows to respond in a timely manner when the well approaches the boundaries with contrasting resistivity properties and to avoid exit to unproductive zones. Nowadays, the azimuthal resistivity data is the method with the highest penetration depth for the geosteering in real time. Stochastic inversion is a special mathematical algorithm based on the statistical Monte Carlo method to process the readings of resistivity while drilling in real time and provide a geoelectrical model for making informed decisions when placing horizontal and deviated wells. Until recently, there was no unified approach to calculate stochastic inversion, which allows to perform calculations for various tools. Deep-azimuthal resistivity logging tool vendors have developed their own approaches. This article presents a method for calculating stochastic inversion. This approach was never applied for this kind of azimuthal resistivity data. Additionally, it does not depend on the tool vendor, therefore, allows to compare the data from various tools using a single approach.

Real-Time Simulation of Deep Azimuthal Resistivity Tool in 2D Fault Model Using Neural Networks

2018 ◽  
Author(s):  
Dmitry Kushnir ◽  
Nikolay Velker ◽  
Alexey Bondarenko ◽  
Gleb Dyatlov ◽  
Yuliy Dashevsky
Keyword(s):  
Neural Networks ◽  
Real Time ◽  
Fault Model ◽  
Real Time Simulation ◽  
Time Simulation ◽  
Azimuthal Resistivity

Real-time modeling and parameter approximation of dexterous garment folding by robot

2018 ◽  
Vol 24 (1) ◽  
pp. 119-126
Author(s):  
Cheong Hou Yew ◽  
Khairul Salleh Mohamed Sahari
Keyword(s):  
Real Time ◽  
Time Modeling ◽  
Parameter Approximation

scholarly journals Odra: Naval and Merchant Vessels (Maritime science heritage: Sanatan Nau vigyan: Select discussions)

2021 ◽  
Vol 4 (2) ◽  
pp. 253758
Author(s):  
Deepak Bhattacharya ◽  
Sahadeva Sahoo
Keyword(s):  
Real Time ◽  
High Speed ◽  
East Asian ◽  
Numerical Calculations ◽  
Maritime History ◽  
The South ◽  
Time Modeling

Odra (riparian) is a historical entity, a synonym for the Kalinga empire (India) which was maritime in nature and had a robust seafaring heritage. In this paper, the south-east Asian archipelago nexus is touched upon, along with less well known aspects of Indo-Asian maritime history. Historically-dated artifacts are presented; naval and merchandise issues ranging from the period c.1200 to 1900 C.E., are discussed. A possible depiction of the empire’s fleet (c.12th C.E) is conceptualized. Boat-related numerical calculations are adduced, and associated physics and mechanics of ocean sailing are discussed. Ancient high speed and stable barges are discussed. In-continuum heritage practice and real-time modeling are presented.

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